Next Article in Journal
Effects of Inclusive Leadership on the Diversity Climate and Change-Oriented Organizational Citizenship Behavior
Previous Article in Journal
Patients’ UX Impact on Medication Adherence in Czech Pilot Study for Chronically Ill
Previous Article in Special Issue
Burnout and Quality of Work Life among Physicians during Internships in Public Hospitals in Thailand
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Mitigating Job Burnout in Jordanian Public Healthcare: The Interplay between Ethical Leadership, Organizational Climate, and Role Overload

by
Kayed Al’Ararah
1,*,
Dilber Çağlar
2 and
Hasan Yousef Aljuhmani
3
1
Business Management Department, Girne American University, North Cyprus Via Mersin 10, Kyrenia 99320, Turkey
2
Faculty of Business and Economics, Girne American University, North Cyprus Via Mersin 10, Kyrenia 99320, Turkey
3
Faculty of Business and Economics, Centre for Management Research, Girne American University, North Cyprus, Via Mersin 10, Kyrenia 99428, Turkey
*
Author to whom correspondence should be addressed.
Behav. Sci. 2024, 14(6), 490; https://doi.org/10.3390/bs14060490
Submission received: 28 April 2024 / Revised: 31 May 2024 / Accepted: 3 June 2024 / Published: 11 June 2024
(This article belongs to the Special Issue Stress, Anxiety, and Depression among Healthcare Workers)

Abstract

:
In today’s dynamic organizational landscape, characterized by rapid technological advancements and evolving workplace dynamics, understanding the factors influencing employee well-being is paramount. This study investigates the interplay between ethical leadership, organizational climate, role overload, and job burnout in public healthcare organizations across northern Jordan. By focusing on ethical leadership, organizational climate, and role overload as determinants of job burnout, this research provides insights into strategies for enhancing employee well-being. Drawing on ethical leadership theory, social exchange theory, and the job demands–resources model, this study employs PLS-SEM to analyze data collected from 260 employees working in Jordanian government hospitals. The findings reveal negative associations between ethical leadership and job burnout, highlighting the importance of ethical leadership behaviors in mitigating employee burnout. Additionally, a positive organizational climate is associated with lower levels of burnout, underscoring the impact of the broader organizational context on employee well-being. The study also explores the mediating role of organizational climate and the moderating effect of role overload in the relationship between ethical leadership and job burnout, providing insights into the complex dynamics at play in healthcare organizations. These findings enrich our understanding of the factors influencing employee well-being in healthcare contexts and underscore the importance of fostering ethical leadership and supportive organizational climates to mitigate job burnout.

1. Introduction

In contemporary organizational psychology, the role of ethical leadership in shaping employee well-being has become a subject of increasing interest and importance [1,2]. Brown and colleagues defined ethical leadership as “the demonstration of normatively appropriate conduct through personal actions and interpersonal relationships, and the promotion of such conduct to followers through two-way communication, reinforcement, and decision-making” ([3], p. 120). Leaders who prioritize ethical standards not only foster a positive organizational culture but also contribute to employee well-being by mitigating adverse psychological factors such as role overload, anxiety, and job exhaustion [4,5,6]. While the impact of ethical leadership on employee well-being has been acknowledged [7,8,9,10], understanding the underlying mechanisms remains a critical area of inquiry. Amidst these considerations, the phenomenon of job burnout has garnered significant attention, reflecting the deleterious consequences of prolonged stress and exhaustion within the healthcare workplace [11,12].
The scarcity of studies specifically examining the role of ethical leadership in promoting employee well-being within healthcare underscores the need for further investigation [13,14,15]. Promoting a favorable workplace climate and alleviating negative psychological outcomes, including job burnout, anxiety, and role overload, not only enhances organizational performance but also fosters creativity and innovation [16,17]. Recent research has highlighted the profound impact of workplace environment on employee well-being, particularly amidst challenges such as the COVID-19 pandemic [18,19]. Such findings underscore the importance of understanding the interplay between leadership, organizational context, and employee well-being in healthcare settings [20,21,22,23]. Ethical leadership, characterized by behaviors such as fairness, integrity, and concern for stakeholders, has emerged as a critical factor in shaping organizational culture and employee outcomes [3].
Ethical leadership has been shown to positively influence various workplace outcomes, including job satisfaction, organizational commitment, and performance [24,25]. However, the mechanisms through which ethical leadership affects employee well-being remain incompletely understood. One proposed pathway is through the promotion of positive workplace cultures that prioritize ethical behavior [13,26,27]. A culture that values ethics can create a supportive environment, reducing the occurrence of ethical conflicts and contributing to employee well-being [1]. Moreover, perceptions of ethical leadership may influence psychological outcomes such as perceived organizational support, further impacting employee well-being [22,28]. The organizational climate, representing the shared perceptions and attitudes of employees towards their work environment, serves as a contextual framework through which leadership behaviors manifest and influence individual experiences [29].
The theoretical foundation of this study is rooted in social exchange theory and the job demands–resources model. Social exchange theory proposes that interpersonal interactions in organizations involve the exchange of resources, where individuals respond to favorable treatment with increased commitment and performance [30]. Ethical leadership, characterized by transparency, trustworthiness, and moral integrity, promotes a positive exchange relationship between leaders and followers, thus enhancing employee engagement and well-being [3,9,25]. The job demands–resources model further explains how organizational factors, such as role overload, can affect the balance between job demands and resources, consequently influencing employee experiences of burnout [31,32,33,34]. By integrating these theoretical frameworks, this study aims to investigate how ethical leadership and organizational climate interact with role overload to alleviate or exacerbate job burnout among healthcare employees.
The motivation for this study arises from the urgent necessity to comprehend the intricate relationship between leadership, organizational context, and employee well-being in healthcare settings. As healthcare organizations endeavor to nurture ethical environments and boost employee engagement, a deeper understanding of the intricate dynamics of ethical leadership and its interaction with organizational climate and role demands is crucial for fostering robust and sustainable workplaces. By elucidating the moderating influence of role overload and the mediating effect of organizational climate through which ethical leadership influences job burnout among healthcare employees, this research aims to provide valuable insights for refining leadership approaches, shaping organizational policies, and developing intervention strategies geared toward alleviating job burnout and bolstering employee resilience amidst organizational pressures.
This study seeks to investigate the impact of ethical leadership on role overload and job burnout while exploring the mediating role of organizational climate. By examining these relationships in an Arabian context, specifically Jordan, this research aims to complement existing literature and verify results across diverse cultural settings [1]. The findings of this study hold implications for healthcare organizations aiming to enhance employee well-being, psychological outcomes, and ethical leadership practices in diverse cultural and organizational contexts. These findings have important implications for healthcare leaders and policymakers, emphasizing the importance of fostering ethical leadership practices and creating supportive organizational climates to promote employee well-being and mitigate job burnout.

2. Theoretical Framework and Hypotheses

2.1. Underpinning Theory

The underpinning theories guiding this study focus on social exchange theory (SET) and the job demands–resources (JD-R) model. Social exchange theory, rooted in sociology and psychology, provides a lens through which to understand interpersonal interactions within organizational contexts [30,35]. Central to social exchange theory is the notion that individuals engage in reciprocal exchanges of resources, such as trust, support, and recognition, within social relationships, including those with leaders and colleagues [36,37]. Within the workplace, ethical leadership behaviors, characterized by fairness, integrity, and concern for others, foster positive exchanges between leaders and followers, thereby cultivating a climate of trust and cooperation [3,9,25]. Employees reciprocate ethical leadership with increased commitment, engagement, and performance, contributing to a supportive organizational climate [17].
The JD-R model supplements SET by addressing the broader organizational context in which employee well-being and burnout are situated [38]. This model suggests that employees encounter various job demands, including workload, time pressure, and role ambiguity, necessitating physical, cognitive, and emotional resources for effective management [33,34]. Additionally, employees may benefit from job resources such as autonomy, social support, and opportunities for growth, which serve as buffers against the adverse effects of job demands and promote well-being [31,32,39]. Role overload, a prevalent stressor in contemporary work environments characterized by excessive task demands and limited resources, represents a crucial component of job demands that can contribute to employee burnout [40,41].
By integrating insights from SET and the JD-R model, this study endeavors to shed light on the complex interconnections among ethical leadership, organizational climate, role overload, and job burnout. Specifically, it seeks to clarify how ethical leadership behaviors influence the quality of social exchanges and organizational climates, thereby shaping employees’ perceptions of job demands and resources. Furthermore, the research investigates the moderating influence of role overload on the relationship between ethical leadership, organizational climate, and job burnout. Through the exploration of these relationships using theoretical frameworks rooted in social science, the study aims to provide a nuanced comprehension of the mechanisms underlying employee well-being and to offer practical implications for organizational leaders and practitioners striving to cultivate healthier work environments.

2.2. Ethical Leadership

Ethical leadership has emerged as a pivotal construct in contemporary organizational research, emphasizing the significance of ethics and values in guiding leadership behaviors [13,21]. Drawing on social learning theory, Brown and colleagues conceptualize ethical leadership as “the demonstration of normatively appropriate conduct through personal actions and interpersonal relationships” and embodies principles such as integrity, fair treatment, and ethical standards ([3], p. 120). This form of leadership is distinct from other leadership styles, such as transformational leadership, which focuses on inspiring and motivating followers to achieve extraordinary outcomes through vision, communication, and change [42]. While transformational leadership can encompass ethical behaviors, it is not synonymous with ethical leadership [43,44].
Ethical leaders integrate moral principles into their beliefs, values, and behaviors, promoting a culture of integrity and accountability within organizations [25,45]. Brown et al. [3] established a comprehensive ethical leadership scale that highlights the role of leader behavior in organizational outcomes. According to Kanungo [46], ethical leaders prioritize the well-being of others and abstain from behaviors that could cause harm. They are perceived as trustworthy and engage employees by considering their participation in decision-making processes [47].
Social learning theory posits that employees observe and emulate the ethical behaviors demonstrated by their leaders [3]. Furthermore, social exchange theory explains the relationship between ethical leaders and employee behaviors, suggesting that followers reciprocate the support and care received from their leaders with desirable work behaviors [30]. Ethical leaders focus on the long-term concerns of employees and treat them with respect, care, and dignity [48,49].
Empirical research has shown that ethical leadership significantly impacts employee well-being. Ethical leaders foster an environment where employees feel valued and supported, leading to improved job satisfaction and well-being [50,51]. They enhance job characteristics such as autonomy, role clarity, and job empowerment, which are positively related to employee well-being [40,52,53]. Acknowledgment and respect from ethical leaders also correlate positively with well-being [6,51,54,55,56].
Despite the abundance of research on the positive consequences of ethical leadership, there is a need to explore its role in enhancing both job burnout and broader psychological well-being [9,10,57], especially in the context of the healthcare [12,20,21,22,58]. This study aims to build on this foundation by examining the direct and indirect effects of ethical leadership on employee well-being within the context of public healthcare organizations.
By incorporating ethical leadership into organizational strategies, leaders can significantly influence employee well-being and mitigate the adverse effects of job burnout, thereby fostering a healthier, more productive workforce. This study aims to explore these dynamics within healthcare settings, providing insights into how ethical leadership can support employee well-being.

2.3. Job Burnout and Employee Well-Being in Healthcare

The dynamic nature of modern workplaces, especially in high-stress environments like healthcare, necessitates a comprehensive understanding of factors influencing employee well-being [22]. While previous studies have extensively explored job burnout, the broader concept of psychological well-being has often been overlooked, despite its critical importance in ensuring long-term employee health and productivity [59].
Psychological well-being encompasses more than the mere absence of burnout; it includes positive dimensions such as job satisfaction, emotional resilience, and overall mental health [60]. Job burnout research originated in the human services sector, driven by the need to understand the syndrome affecting overworked and emotionally exhausted workers [61]. Burnout is commonly conceptualized as a three-dimensional construct comprising emotional exhaustion, depersonalization, and reduced personal accomplishment [62]. Emotional exhaustion is the core dimension, characterized by the depletion of emotional resources, serves as a critical indicator of employee well-being [63]. As emotional exhaustion intensifies, it engenders negative work-related emotions and experiences, impeding work satisfaction and motivation, and compromising overall work performance [31,32,34,64]. Recognizing the centrality of employee well-being, organizations strive to foster positive work environments that mitigate emotional exhaustion and promote psychological health among employees. Therefore, it is crucial to integrate these broader aspects into our research model to provide a holistic view of employee well-being.
The coronavirus pandemic has significantly impacted individuals, organizations, and societies. Healthcare workers, in particular, have faced severe adverse effects on their subjective well-being due to the increased ethical challenges and stressors associated with managing the pandemic [22,65,66,67]. Subjective well-being, which relates to an individual’s personal experiences and perceptions, is critical in crisis situations like the COVID-19 pandemic, as it helps organizations maintain operations even during emergencies [68].
The COVID-19 pandemic has intensified these challenges, with healthcare workers facing unprecedented levels of stress and ethical dilemmas [69,70,71]. Healthcare organizations have increasingly focused on leadership processes that prioritize employees’ health and subjective well-being [22]. During the COVID-19 pandemic, organizational leaders have faced significant challenges in maintaining employees’ well-being [72]. Ethical leadership, defined as the extent to which a leader adheres to normatively appropriate behaviors [3], has been identified as a crucial supportive factor in mitigating the pandemic’s devastating impact [73].
Conversely, job burnout, a significant issue in the healthcare sector, results from chronic exposure to job stress and leads to emotional exhaustion, depersonalization, and reduced personal accomplishment [41,61]. Burnout negatively impacts workers’ psychological, physiological, and behavioral well-being, depleting personal resources and leading to fatigue, psychological erosion, and potentially harmful coping behaviors [62]. Addressing these challenges, especially in the context of the healthcare setting, underscores the importance of ethical leadership in mitigating burnout and enhancing overall well-being [20,28,58,74].
Moreover, the organizational climate plays a crucial role in shaping employees’ experiences and perceptions at work. A positive organizational climate, characterized by trust, openness, and support, can significantly enhance employees’ psychological well-being [75,76,77]. Conversely, role overload, which refers to excessive work demands placed on employees, is a known predictor of both burnout and reduced well-being [40,78,79]. By examining the moderating effects of role overload, this study seeks to provide a nuanced understanding of how work demands can impact the relationship between ethical leadership, organizational climate, and employee well-being.
In light of these considerations, this study aims to fill this gap by constructing a theoretical and empirical framework to elucidate the mediating effects associated with various outcomes of ethical leadership (see Figure 1). Through the integration of insights from organizational psychology literature and empirical evidence, this research endeavors to unravel the complexities of the relationship between ethical leadership and employee well-being, offering valuable insights for both organizational practice and theory development in healthcare settings.

2.4. Ethical Leadership and Job Burnout

Numerous studies in organizational psychology have underscored the negative ramifications of burnout, a phenomenon characterized by decreased job satisfaction, motivation, and performance stemming from prolonged occupational stress [11,34,80]. Burnout manifests as physical and mental exhaustion, accompanied by feelings of hopelessness and apathy [81]. Within the healthcare sector, particularly among nurses combating challenges such as the COVID-19 pandemic, burnout rates have surged, exacerbating emotional exhaustion and compromising overall well-being [18,19,82].
Ethical leadership, characterized by moral integrity and ethical decision-making, emerges as a potential buffer against the deleterious effects of burnout [40]. Ethical leaders guide their teams with transparency and fairness, fostering trust and respect within the organizational context [6,83]. They cultivate a positive work environment conducive to employee well-being, mitigating stressors and promoting psychological resilience [3,47,51,84]. Ethical leadership has been associated with reduced emotional exhaustion and depersonalization, components of burnout prevalent in healthcare settings [42,43,85].
In the healthcare sector, empirical evidence suggests that ethical leadership exerts a direct positive effect on employee well-being [20,22,86]. Employees under ethical leaders experience greater role clarity and reduced role overload, mitigating burnout risks and enhancing job satisfaction [40]. Ethical leadership fosters a sense of purpose and meaning at work, promoting trust and engagement among employees [83]. Conversely, unethical leadership practices engender cynicism and disengagement, exacerbating burnout and diminishing overall well-being [87].
Ethical leadership’s influence extends beyond the workplace, serving as a protective factor against burnout amidst challenging circumstances such as the COVID-19 pandemic [65]. Leaders who exhibit ethical behaviors create a supportive climate, enabling employees to cope effectively with stressors and maintain psychological well-being [28]. Taken together, ethical leadership emerges as a salient determinant of healthcare employees’ well-being, exerting a direct negative effect on job burnout [6,40,83]. By fostering a positive work environment, promoting trust, and cultivating meaningful relationships, ethical leaders mitigate burnout risks and enhance overall psychological health among employees [88]. As organizations navigate complex challenges and strive to promote employee well-being, ethical leadership practices offer a promising avenue for fostering resilience and enhancing organizational effectiveness. Thus, we expect that:
H1. 
Ethical leadership will be negatively related to employee job burnout.

2.5. Ethical Leadership and Organizational Climate

Drawing from extensive literature and empirical evidence, the relationship between ethical leadership and organizational climate emerges as significant and multifaceted. Ethical leadership, characterized by traits such as moral integrity, honesty, and fairness, holds a pivotal role in shaping the overall atmosphere and dynamics within an organization [26,89]. Organizational climate, as defined by Schneider et al. [29], encompasses the collective perceptions of employees regarding the psychological, social, and physical characteristics of their work environment. It mirrors the prevailing norms, values, and expectations within the organization [16]. A positive organizational climate is distinguished by traits such as trust, open communication, collaboration, and mutual respect among employees, thereby fostering an environment conducive to productivity and job satisfaction [90,91,92].
Multiple studies have illuminated the positive correlation between ethical leadership and organizational climate [17,21]. Ethical leaders act as exemplars, demonstrating ethical principles and behaviors that establish the culture of the organization [93]. They emphasize transparency, fairness, and accountability in decision-making, fostering an environment where employees feel valued and respected [94]. Research in healthcare contexts has emphasized the advantageous impact of ethical leadership on organizational climate. Prior studies have underscored the significance of supportive and empowering leadership in cultivating a positive work environment and alleviating stress and burnout among healthcare professionals [75,95,96].
Furthermore, studies by Liu et al. [97] and Neilson and Munir [98] have demonstrated that ethical leadership enhances employee trust and cooperation, facilitating effective teamwork and communication within healthcare organizations. Ethical leaders create an environment where employees feel empowered to voice their opinions and concerns, fostering a culture of openness and inclusivity [93,99,100]. Moreover, ethical leadership has been associated with lower rates of workplace deviance and higher levels of job satisfaction among healthcare employees [26,53,76]. By promoting justice, transparency, and participatory decision-making, ethical leaders inspire commitment and engagement among healthcare employees, contributing to a positive organizational climate [101,102].
While the connection between ethical leadership and ethical climate has been thoroughly examined, there persists a necessity for additional research on the broader ramifications of ethical leadership on the overall organizational climate, particularly within healthcare settings [26,103]. This study aims to fill this void by examining the relationship between ethical leadership and organizational climate in a hospital setting, anticipating that ethical leadership exerts a positive influence on the organizational climate. By elucidating the mechanisms through which ethical leadership molds the workplace environment, organizations can gain a deeper understanding and capitalize on the influence of ethical leadership to nurture a culture characterized by integrity, collaboration, and excellence. Hence, we anticipate that:
H2. 
Ethical leadership will be positively related to organizational climate.

2.6. The Mediating Role of Organizational Climate

The interplay between ethical leadership, organizational climate, and job burnout represents a complex dynamic within the workplace environment. Ethical leadership, distinguished by moral integrity, transparency, and fairness, has been demonstrated to exert a significant impact on employee well-being and organizational outcomes [26,89]. Conversely, organizational climate reflects the collective perceptions of employees concerning the psychological, social, and physical dimensions of their work environment [104]. It encompasses elements such as trust, communication, collaboration, and fairness, which collectively contribute to the overall atmosphere within the organization [16]. Job burnout, characterized by emotional exhaustion, depersonalization, and reduced personal accomplishment, is a prevalent issue across various workplace settings [34,80]. It is associated with adverse organizational outcomes, including diminished job satisfaction, decreased productivity, and heightened turnover rates [81].
In the healthcare setting, several studies have highlighted the relationship between ethical leadership and job burnout. Ethical leaders, by demonstrating integrity, promoting fairness, and fostering a supportive work environment, can mitigate the risk of burnout among employees [83,85]. Employees who perceive their leaders as ethical are more likely to experience greater job satisfaction, reduced stress levels, and lower rates of burnout [85,105]. Research has consistently demonstrated a negative correlation between ethical leadership and job burnout, with ethical leaders fostering a supportive work environment that mitigates the risk of burnout among healthcare employees [58,106,107,108].
Moreover, research has underscored the significance of organizational climate as a mediator in the connection between leadership behaviors and employee outcomes [17,92,109,110]. Organizational climate reflects the collective perceptions and experiences of employees concerning the work environment, influencing their attitudes, behaviors, and levels of job satisfaction [16,91]. A positive organizational climate, characterized by trust, open communication, and collaboration, can act as a protective factor against job burnout by cultivating a supportive and conducive work environment [26,77]. Consequently, it is hypothesized that organizational climate mediates the relationship between ethical leadership and job burnout. Ethical leaders shape the organizational climate by fostering trust, promoting fairness, and encouraging open communication, which subsequently contributes to reduced levels of job burnout among employees. Hence, we anticipate that:
H3. 
Positive organizational climate will be negatively related to employee job burnout.
H4. 
Positive organizational climate will mediate the negative relationship between ethical leadership and employee job burnout.

2.7. The Moderating Effect of Role Overload

Role overload has been defined as “situations in which employees feel that there are too many responsibilities or activities expected of them in light of the time available, their abilities, and other constraints” ([111], p. 741). It is a pervasive issue in contemporary work environments, driven by rapidly changing work dynamics and increasing job demands [112]. Role overload negatively impacts job performance and is associated with feelings of resource loss among employees [78,113].
The literature emphasizes the moderating role of role overload in the relationship between ethical leadership, organizational climate, and job burnout. Role overload acts as a situational constraint factor, impeding employees from leveraging their strengths for positive outcomes [114,115,116]. It is associated with adverse follower outcomes, such as decreased organizational commitment and heightened absenteeism [40,117]. Furthermore, role overload contributes to burnout, particularly in terms of emotional exhaustion [41]. However, the influence of ethical leadership on job burnout may vary depending on the extent of role overload experienced by employees [5,6,83,85]. In this regard, the presence of role overload can attenuate this relationship by amplifying stress and burden on employees [44,115,118,119,120]. Employees facing role overload may perceive ethical leadership behaviors as insufficient in alleviating job strain, thereby diminishing the positive impact of ethical leadership on well-being [1,13,40]. Consequently, ethical leaders must ensure manageable workloads to prevent role overload and promote employee well-being. Thus, we anticipate that:
H5a. 
Role overload will moderate the relationship between ethical leadership and job burnout.
Organizational climate, characterized by trust, communication, and support, significantly influences employee experiences and outcomes [16,77,91,109]. A positive organizational climate fosters psychological safety and reduces the likelihood of job burnout among employees [121,122,123]. However, role overload moderates the relationship between organizational climate and job burnout, as employees facing high role overload may struggle to benefit fully from a positive climate [112,124]. Supportive workplace cultures, open communication, and clear expectations can help alleviate role overload and create a healthy work environment [77,102,125]. The relationship between workplace climate and job burnout is strongly influenced by role overload, with lower levels of role overload associated with supportive environments and clear expectations [126,127,128]. Therefore, the moderation impact of role overload underscores the importance of considering individual differences and contextual factors in understanding the relationship between organizational dynamics and employee well-being. Healthcare leaders should prioritize initiatives to improve workplace climate aspects to reduce job overload and boost employee satisfaction and well-being [12,40,129,130]. Encouraging teamwork, providing resources, and fostering open communication are essential steps toward mitigating role overload and promoting employee resilience in the face of job demands [6,116,131,132,133]. Thus, we expect that:
H5b. 
Role overload will moderate the relationship between organizational climate and job burnout.

3. Research Design and Methodology

3.1. Sample and Procedure

The sampling procedure for this research involved targeting all employees within government hospitals situated in the northern region of Jordan, covering the governorates of Irbid, Jerash, Mafraq, and Ajloun. With a reported population of 4345 individuals based on the Ministry of Health in Jordan, comprising medical professionals and administrative staff, the study specifically focused on individuals working in public healthcare organizations (HCOs) in the northern or middle parts of Jordan. Following the methodologies of previous studies conducted by Azar et al. [134] and Hijazi [135] on Jordanian HCOs, a cross-sectional approach was adopted, with data collection occurring between July and September 2022. A non-probability convenience sampling method was utilized due to some HCOs not granting permission for survey distribution. Out of the 30 public hospitals identified across Jordan from the Ministry of Health’s website (https://www.moh.gov.jo), 13 public hospitals from 4 major cities in the northern region were chosen, of which 6 agreed to participate in the study. Participants were drawn from both medical and administrative staff. The inclusion criteria necessitated that participants hold at least a BA degree and work in public hospitals in the northern or middle parts of Jordan.

3.2. Data Collection

An online survey methodology was utilized, with the researcher obtaining approval from the public relations departments of identified organizations to facilitate the process. The survey link was disseminated to eligible personnel in establishments where approval was granted. To minimize respondent bias, a cover letter accompanied the survey, stressing the voluntary nature of participation, confidentiality, and the scientific purpose of the data collection [136]. The survey aimed to investigate various aspects related to employee well-being and organizational dynamics within the context of public healthcare organizations in the northern region of Jordan. Following the guidelines outlined by Sekaran and Bougie [137], 750 questionnaires were distributed to potential respondents to attain an appropriate sample size for the population under investigation. Among the collected responses, 263 were deemed valid, with 3 incomplete questionnaires excluded, resulting in a final sample size of 260 participants. Data analysis was conducted using Structural Equation Modeling (SEM), with the gathered data offering insights into the interrelationships among ethical leadership, organizational climate, role overload, and job burnout among employees in government hospitals in the northern region of Jordan.

3.3. Sample Profile

The respondent profile of the 260 final participants reflects a diverse demographic composition. As indicated in Table 1, the majority of respondents were male, comprising 61.9% of the sample, while females accounted for the remaining 38.1%. A significant portion of the participants, approximately 64.6%, held a bachelor’s degree, indicating a relatively high level of educational attainment within the sample. Regarding employment status, the vast majority, accounting for 86.9% of respondents, were medical professionals such as doctors. Moreover, the distribution of the sample according to work experience demonstrated a balanced representation across various experience categories, suggesting a diverse range of professional backgrounds and tenure among the participants.

3.4. Measures

The measurement of variables in the research study employed rigorous methodologies and established scales. To address the linguistic needs of the targeted Arabic-speaking respondents, the survey instruments were translated from English to Arabic with careful attention to maintaining accuracy and clarity [138]. This translation process was overseen by a language editor to minimize bias and ensure the fidelity of the translated items [139]. Prior to the main study, a pilot study involving 10 medical and administrative workers within public HCOs in Jordan was conducted in June 2022 to assess statistical reliability and internal consistency. Participants were tasked with evaluating the ethical conduct of their supervisors using a 5-point Likert scale, ranging from “strongly agree” to “strongly disagree”.
Ethical leadership was assessed using a 10-item scale developed by Brown et al. [3]. Sample items included statements such as “My supervisor conducts his/her personal life in an ethical manner”. Organizational climate was assessed using 11 items adapted from the work of Nazari et al. [91]. Example items included assertions such as “Taking reasonable risks is acceptable in this organization”. Role overload, a significant factor in employee well-being, was assessed using a set of thirteen items adapted from Jones et al. [78]. Sample items included statements such as “There are too many demands on my time”. Finally, job burnout was evaluated using a 6-item Likert-type scale adopted from Demerouti et al. [140], focusing on emotional exhaustion among medical and administrative workers. Participants indicated their agreement with statements such as “After work, I tend to need more time than in the past to relax and feel better”.

3.5. Common Method Bias

Common method bias (CMB) represents a critical concern in research methodology, especially in studies where data is gathered from a single source or relies heavily on self-reported measures, as evident in this investigation. To address potential CMB issues, various mitigation strategies were implemented based on recommendations by Podsakoff et al. [141]. The survey instrument featured a comprehensive consent form outlining the study’s objectives while ensuring respondents the confidentiality and anonymity of their contributions, thus fostering an environment conducive to candid responses [142]. Additionally, Harman’s [143] one-factor test was conducted to evaluate whether a single underlying factor could account for a substantial portion of the observed variance across measured constructs. The results revealed no significant common method bias, with the highest variance explained being approximately 23.3%, thereby enhancing the credibility of the findings. These methodological approaches were instrumental in fortifying the validity and reliability of the study’s outcomes, ensuring robustness in data analysis and interpretation.

4. Data Analysis and Results

The data analysis in this study followed a rigorous approach, utilizing partial least squares structural equation modeling (PLS-SEM) in the PLS 4 software. PLS-SEM is renowned for its flexibility and suitability for exploratory research endeavors [144], rendering it an optimal choice for scrutinizing intricate structural models, particularly with small sample sizes [145]. The analysis unfolded in two distinct stages, adhering to established guidelines [146,147]. Initially, the measurement model underwent comprehensive validation to ensure the reliability and validity of the constructs under examination. This process involved scrutinizing validity and reliability measures to confirm the robustness of the measurement model [148]. Concurrently, the structural model was scrutinized to assess the strength and significance of the relationships among the variables [149]. Path coefficients (β), coefficient of determination (R2), and path significance (P) were meticulously evaluated to determine the degree of influence among the variables and the overall fit of the structural model to the data [150]. By employing PLS-SEM, the study rigorously examined the relationships between the variables, ultimately deriving meaningful insights into the underlying mechanisms at play [151].

4.1. Validation of the Measurement Model

The validation of the measurement model constituted a crucial step in ensuring the reliability and validity of the constructs evaluated in this study, conducted using PLS-SEM 4. To ascertain the reliability of the measures, essential indicators such as Cronbach’s α, composite reliability, and Average Variance Extracted (AVE) were computed [150]. Internal consistency was confirmed as the values of Cronbach’s α and composite reliability surpassed the threshold of 0.70, indicating acceptable reliability [144,150]. Additionally, the values of rhoA falling between Cronbach’s α and composite reliability further underscored the robustness of the measures [152]. Moreover, the outer model loadings, as presented in Table 2, predominantly exceeded the 0.7 threshold, further reinforcing the reliability of the measures [144]. Furthermore, the assessment of convergent validity, indicated by the AVE values surpassing 0.5 (see Table 2), demonstrated the constructs’ ability to converge on the underlying theoretical concepts [153].
Furthermore, discriminant validity was examined through the Heterotrait–Monotrait (HTMT) ratio, as displayed in Table 3, unveiling values below 0.85, indicating the absence of multicollinearity among the constructs [154]. This analysis validated the discriminant validity of the model, reinforced by the Fornell–Larcker criterion where the square of each variable’s AVE surpassed the intercorrelations (see Table 3), fortifying the validity of the structural model [153]. This thorough examination, combined with the satisfactory psychometric properties of the measurement model [155], provides robust support for the validity and reliability of the constructs evaluated in the study.

4.2. Assessment of the Structural Model

The evaluation of the structural model using PLS-SEM enabled rigorous hypothesis testing and the assessment of path coefficients [146,151]. Adhering to guidelines outlined in the PLS-SEM literature, a bootstrapping procedure involving 5000 subsamples was carried out using Smart PLS version 4 software [150,156].
Before testing the structural model, collinearity underwent rigorous evaluation using the variance inflation factor (VIF), with all VIF values below the threshold of 3.3, indicating no collinearity among the constructs [150]. Subsequently, the bootstrapping procedure was utilized to estimate standard errors and evaluate the significance of parameter estimates [157,158]. The results are illustrated in Figure 2.
The examination of hypotheses revealed significant outcomes as presented in Table 4. H1, proposing a negative relationship between ethical leadership and employee job burnout, garnered full support from the results (β = −0.286, t = 2.497, p = 0.013). Likewise, H2, which postulated a positive relationship between ethical leadership and organizational climate, received empirical support (β = 0.677, t = 21.851, p = 0.000). H3, suggesting the negative impact of organizational climate on employee job burnout, was also supported (β = −0.144, t = 2.132, p = 0.033). Furthermore, the analysis revealed a positive impact of role overload on employee job burnout (β = 0.581, t = 11.491, p = 0.000).
The examination of H4, pertaining to the mediation of organizational climate in the relationship between ethical leadership and employee job burnout, yielded statistically significant results (β = −0.097, t = 2.099, p = 0.036), providing support for the hypothesis. In addition, H5a, positing the moderation effect of role overload in the relationship between ethical leadership and job burnout, was fully supported (β = 0.218, t = 2.539, p = 0.011). Similarly, H5b, proposing the moderation of the impact of role overload in the relationship between organizational climate and employee job burnout, also received empirical support (β = −0.165, t = 2.055, p = 0.040), further affirming the intricate interplay among the variables in the structural model.

4.3. Explanatory Power of the Structural Model

The explanatory power of the structural model was assessed through examination of the coefficient of determination, or R2, which provides insights into the proportion of variance explained by the model’s predictors [159]. Utilizing the PLS algorithm in Smart PLS 4 software, R2 values were computed, surpassing the suggested threshold of 0.10, indicating adequate explanatory power [159,160]. As illustrated in Figure 2, the R2 value for organizational climate was 0.659, signifying that approximately 65.9% of the variance in organizational climate can be explained by the model. Similarly, the R2 value for job burnout was 0.427, indicating that approximately 42.7% of the variance in job burnout is accounted for by the model.
Additionally, the strength of the moderation effect of role overload was rigorously assessed through the calculation of the f2 statistic, a metric widely employed to gauge the impact size of moderators in structural equation models [161]. Following the formula provided by Cohen [162] and Henseler and Fassott [163], the moderation effect size (f2) was computed by comparing the R2 value of the model with the moderator (R2 model with moderator) to the R2 value of the model without the moderator (R2 model without moderator), divided by (1—R2 model with moderator). This method allows for a comprehensive evaluation of the moderating influence of role overload. In the present study, the obtained f2 value of 0.614 signifies a robust moderation effect size (Table 5), indicating that role overload significantly influences the relationships among the model’s variables [162,163]. This substantial effect underscores the pivotal role of role overload as a moderator in the structural model, elucidating its profound impact on the dynamics of organizational climate, ethical leadership, and employee job burnout.
The moderating effect of role overload (RO) in the structural model is depicted vividly in Figure 3 and Figure 4, shedding light on its intricate interplay with both ethical leadership (EL) and organizational climate (OC) concerning job burnout (JB). In Figure 3, the illustration showcases how role overload serves to diminish the adverse impact of ethical leadership on job burnout. This attenuation implies that despite the presence of ethical leadership, individuals experiencing high levels of role overload may still be susceptible to job burnout, albeit to a lesser extent.
Conversely, Figure 4 elucidates the moderating effect of role overload on the relationship between organizational climate and job burnout. Here, role overload strengthens the negative association between organizational climate and job burnout, suggesting that in environments characterized by supportive organizational climates, the detrimental effects of job burnout may be mitigated, particularly when individuals perceive lower levels of role overload. These figures provide visual representations of how role overload operates as a crucial moderator, influencing the dynamics between ethical leadership, organizational climate, and job burnout in the structural model.

5. Discussions and Implications

5.1. Discussion of Study Findings

The study’s findings offer significant insights into the dynamics of ethical leadership, organizational climate, role overload, and job burnout, resonating with contemporary research in organizational behavior and leadership. Our first hypothesis posited that ethical leadership negatively correlates with job burnout, a hypothesis that was confirmed by our results. This finding aligns with prior literature emphasizing the critical role of ethical leadership in enhancing employee well-being [1,3,9,21,40]. Leaders who demonstrate ethical behavior and uphold values such as trust, fairness, and integrity can effectively alleviate the risk of job burnout. This is consistent with the notion that ethical leadership fosters a supportive and fair organizational culture that mitigates stress and promotes well-being [3,76,83].
Conversely, our second hypothesis predicted a positive relationship between ethical leadership and organizational climate. Our study confirmed this hypothesis, which is consistent with recent research highlighting the pivotal role of leaders in shaping the broader organizational environment [17,21,24,25,109,112]. Ethical leaders cultivate a positive work environment by setting clear expectations, promoting open communication, and fostering a climate of trust and support. This conducive environment enhances employee well-being and organizational effectiveness [4,47,91,92].
Moreover, our third and fourth hypotheses examined the mediating role of organizational climate in the relationship between ethical leadership and job burnout. The results support this hypothesis, suggesting that a positive organizational climate characterized by trust, collaboration, and shared values significantly mitigates the adverse effects of job burnout [1,16,115]. This finding is in line with previous studies indicating that a supportive climate can enhance employee engagement and retention by reducing stress and promoting a sense of belonging [17,24,50,83,93].
Our final hypothesis explored role overload as a moderator in the relationship between ethical leadership, organizational climate, and job burnout. The study found that role overload exacerbates the detrimental effects of job burnout, especially in environments where organizational support and resources are lacking [44,78,122]. This underscores the nuanced interplay between individual and contextual factors in influencing job burnout [40,115,118]. These findings highlight the importance of organizational interventions aimed at addressing workload management, role clarity, and resource allocation to mitigate burnout risks [31,93,126,131].
Overall, the study’s findings contribute to our understanding of the multifaceted relationships between leadership, organizational climate, role overload, and job burnout. They offer valuable implications for organizational practices and leadership development, particularly in the healthcare sector, where maintaining employee well-being is crucial for both individual and organizational performance. By promoting ethical leadership and cultivating a positive organizational climate, healthcare organizations can better manage role overload and reduce job burnout, ultimately fostering a more resilient and effective workforce.

5.2. Theoretical Implications

The study findings yield significant theoretical implications for the fields of organizational behavior, leadership, and employee well-being. Firstly, the confirmed negative relationship between ethical leadership and job burnout aligns with established theoretical frameworks emphasizing the pivotal role of leadership behavior in shaping employee outcomes [7,13,25,40]. Ethical leadership theory posits that leaders who demonstrate integrity, fairness, and ethical conduct foster trust and respect among employees, thereby reducing the risk of burnout [5,6,85,88]. This finding underscores the importance of ethical leadership as a key determinant of employee well-being and organizational effectiveness.
Secondly, the positive relationship between ethical leadership and organizational climate aligns with social exchange theory, which suggests that positive leader behaviors cultivate a supportive organizational climate characterized by trust, cooperation, and mutual respect [36,37]. Leaders who prioritize ethical values and promote transparency and communication contribute to a positive organizational climate that enhances employee satisfaction and engagement [17].
Furthermore, the research contributes significantly to our comprehension of the mechanisms through which ethical leadership influences job burnout. Ethical leadership has been widely acknowledged as a crucial determinant of employee well-being [1,6,13,51]. The concept of organizational climate, highlighted in this study, elucidates how the workplace environment mediates the effects of leadership on employee outcomes [77,85,164]. Drawing from the job demands–resources model, which posits that organizational climate functions as a psychological resource, the research underscores the pivotal role of a positive work environment in mitigating burnout risks [32,34,165,166]. By fostering a supportive atmosphere, organizations can enhance employee resilience and job satisfaction, thereby promoting overall well-being. This emphasizes the significance of creating conducive work environments that prioritize employee welfare.
Lastly, the study’s exploration of role overload as a moderator in the relationship between ethical leadership, organizational climate, and job burnout contributes to our understanding of the boundary conditions that influence leadership effectiveness and employee well-being [44,115,118,119,120]. Role overload theory suggests that excessive job demands and workload can exacerbate the negative effects of leadership behaviors on employee outcomes [40,78,112]. By identifying role overload as a critical factor in the relationship between leadership, organizational climate, and burnout, the study underscores the importance of workload management and resource allocation in promoting employee well-being and organizational effectiveness.

5.3. Practical Implications

The study’s findings offer valuable practical implications for organizational leaders and practitioners aiming to improve employee well-being and organizational effectiveness. Firstly, the confirmed negative relationship between ethical leadership and job burnout suggests that organizations should prioritize the cultivation of ethical leadership behaviors among their leaders. This entails providing leadership development programs and training initiatives that focus on promoting integrity, fairness, and transparency in leadership practices. By fostering a culture of ethical leadership, organizations can reduce the risk of employee burnout and promote a positive work environment.
Secondly, the positive relationship between ethical leadership and organizational climate underscores the importance of creating a supportive and inclusive organizational culture. Leaders should actively promote open communication, collaboration, and trust within the organization to foster a positive climate. This can be achieved through initiatives such as regular team meetings, feedback mechanisms, and recognition programs that reinforce ethical values and promote a sense of belonging among employees.
Furthermore, the study’s identification of organizational climate as a mediator in the relationship between ethical leadership and job burnout suggests that interventions aimed at improving the organizational climate can help mitigate the risk of burnout among employees. Organizations should focus on creating a supportive work environment characterized by clear expectations, adequate resources, and opportunities for growth and development. This may involve implementing flexible work arrangements, providing access to employee assistance programs, and fostering a culture of recognition and appreciation.
Lastly, the study’s findings regarding the moderating role of role overload underscore the importance of workload management and resource allocation in mitigating the negative effects of job demands on employee well-being. Organizations should strive to provide employees with the necessary resources, support, and training to effectively manage their workload and navigate competing demands. Implementing flexible work arrangements, providing access to supportive resources, and encouraging work–life balance initiatives can help reduce the risk of role overload and mitigate its negative impact on employee job burnout.

5.4. Study Limitations and Suggestions for Future Research

While the research provides valuable insights into the connections among ethical leadership, organizational climate, role overload, and job burnout, it is essential to acknowledge its limitations. Firstly, the reliance on self-reported data introduces the possibility of common method bias and social desirability bias [141]. To enhance the validity of future studies, researchers could incorporate multi-source data collection methods, such as supervisor ratings or objective performance metrics. Additionally, the study’s focus on government hospitals within a specific geographic region restricts the generalizability of the findings to other organizational contexts or sectors. Replicating the study across various industries or cultural settings could offer insights into the robustness of the identified relationships. Furthermore, the predominant use of cross-sectional data limits the ability to establish causality or temporal precedence. Employing longitudinal or experimental research designs would enable a clearer understanding of the causal dynamics between variables over time. Lastly, while the study considers role overload as a moderator, it overlooks other potential moderators, such as individual differences or organizational factors. Future research endeavors should explore additional moderators to delineate the boundary conditions of the relationships under examination [119,120]. Addressing these limitations and charting avenues for future research will contribute to a more comprehensive understanding of the interplay between leadership, organizational climate, and employee well-being.

Author Contributions

Conceptualization, K.A. and D.Ç.; methodology, K.A.; software, H.Y.A.; validation, K.A. and H.Y.A.; formal analysis, H.Y.A.; investigation, K.A. and D.Ç.; resources, K.A.; data curation, K.A.; writing—original draft preparation, K.A.; writing—review and editing, K.A. and H.Y.A.; visualization, K.A. and H.Y.A.; supervision, D.Ç.; project administration, D.Ç. and H.Y.A.; funding acquisition, K.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Business Faculty Research Ethics Committee of Girne American University (protocol code: 2022-23-Summer-0017 and date of approval: 2 June 2022).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors upon request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Sarwar, H.; Ishaq, M.I.; Amin, A.; Ahmed, R. Ethical Leadership, Work Engagement, Employees’ Well-Being, and Performance: A Cross-Cultural Comparison. J. Sustain. Tour. 2020, 28, 2008–2026. [Google Scholar] [CrossRef]
  2. Agarwal, U.A.; Gupta, M.; Cooke, F.L. Knowledge Hide and Seek: Role of Ethical Leadership, Self-Enhancement and Job-Involvement. J. Bus. Res. 2022, 141, 770–781. [Google Scholar] [CrossRef]
  3. Brown, M.E.; Treviño, L.K.; Harrison, D.A. Ethical Leadership: A Social Learning Perspective for Construct Development and Testing. Organ. Behav. Hum. Decis. Process. 2005, 97, 117–134. [Google Scholar] [CrossRef]
  4. Lemoine, G.J.; Hartnell, C.A.; Leroy, H. Taking Stock of Moral Approaches to Leadership: An Integrative Review of Ethical, Authentic, and Servant Leadership. Acad. Manag. Ann. 2019, 13, 148–187. [Google Scholar] [CrossRef]
  5. Zheng, D.; Witt, L.A.; Waite, E.; David, E.M.; van Driel, M.; McDonald, D.P.; Callison, K.R.; Crepeau, L.J. Effects of Ethical Leadership on Emotional Exhaustion in High Moral Intensity Situations. Leadersh. Q. 2015, 26, 732–748. [Google Scholar] [CrossRef]
  6. Chughtai, A.; Byrne, M.; Flood, B. Linking Ethical Leadership to Employee Well-Being: The Role of Trust in Supervisor. J. Bus. Ethics 2015, 128, 653–663. [Google Scholar] [CrossRef]
  7. Bedi, A.; Alpaslan, C.M.; Green, S. A Meta-Analytic Review of Ethical Leadership Outcomes and Moderators. J. Bus. Ethics 2016, 139, 517–536. [Google Scholar] [CrossRef]
  8. Hoang, G.; Yang, M.; Luu, T.T. Ethical Leadership in Tourism and Hospitality Management: A Systematic Literature Review and Research Agenda. Int. J. Hosp. Manag. 2023, 114, 103563. [Google Scholar] [CrossRef]
  9. Ko, C.; Ma, J.; Bartnik, R.; Haney, M.H.; Kang, M. Ethical Leadership: An Integrative Review and Future Research Agenda. Ethics Behav. 2018, 28, 104–132. [Google Scholar] [CrossRef]
  10. Banks, G.C.; Fischer, T.; Gooty, J.; Stock, G. Ethical Leadership: Mapping the Terrain for Concept Cleanup and a Future Research Agenda. Leadersh. Q. 2021, 32, 101471. [Google Scholar] [CrossRef]
  11. Gillet, N.; Morin, A.J.S.; Colombat, P.; Ndiaye, A.; Fouquereau, E. Burnout Profiles: Dimensionality, Replicability, and Associations with Predictors and Outcomes. Curr. Psychol. 2023, 42, 4504–4522. [Google Scholar] [CrossRef]
  12. Borrelli, I.; Rossi, M.F.; Melcore, G.; Perrotta, A.; Santoro, P.E.; Gualano, M.R.; Moscato, U. Workplace Ethical Climate and Workers’ Burnout: A Systematic Review. Clin. Neuropsychiatry 2023, 20, 405–414. [Google Scholar] [CrossRef] [PubMed]
  13. Inceoglu, I.; Thomas, G.; Chu, C.; Plans, D.; Gerbasi, A. Leadership Behavior and Employee Well-Being: An Integrated Review and a Future Research Agenda. Leadersh. Q. 2018, 29, 179–202. [Google Scholar] [CrossRef]
  14. Fischer, T.; Sitkin, S.B. Leadership Styles: A Comprehensive Assessment and Way Forward. Acad. Manag. Ann. 2023, 17, 331–372. [Google Scholar] [CrossRef]
  15. Zappalà, S.; Toscano, F. The Ethical Leadership Scale (ELS): Italian Adaptation and Exploration of the Nomological Network in a Health Care Setting. J. Nurs. Manag. 2020, 28, 634–642. [Google Scholar] [CrossRef] [PubMed]
  16. Alzghoul, A.; Elrehail, H.; Emeagwali, O.L.; AlShboul, M.K. Knowledge Management, Workplace Climate, Creativity and Performance: The Role of Authentic Leadership. J. Workplace Learn. 2018, 30, 592–612. [Google Scholar] [CrossRef]
  17. Mishra, B.; Tikoria, J. Impact of Ethical Leadership on Organizational Climate and Its Subsequent Influence on Job Commitment: A Study in Hospital Context. J. Manag. Dev. 2021, 40, 438–452. [Google Scholar] [CrossRef]
  18. Pradhan, R.K.; Panda, M.; Hati, L.; Jandu, K.; Mallick, M. Impact of COVID-19 Stress on Employee Performance and Well-Being: Role of Trust in Management and Psychological Capital. J. Asia Bus. Stud. 2023, 18, 85–102. [Google Scholar] [CrossRef]
  19. López-Cabarcos, M.Á.; López-Carballeira, A.; Ferro-Soto, C. New Ways of Working and Public Healthcare Professionals’ Well-Being: The Response to Face the COVID-19 Pandemic. Sustainability 2020, 12, 8087. [Google Scholar] [CrossRef]
  20. Yasir, M.; Rasli, A. Direct and Indirect Effects of Ethical Leadership on Workplace Deviance in Public Healthcare Sector of Pakistan. J. Adv. Manag. Res. 2018, 15, 558–574. [Google Scholar] [CrossRef]
  21. Al Halbusi, H.; Williams, K.A.; Ramayah, T.; Aldieri, L.; Vinci, C.P. Linking Ethical Leadership and Ethical Climate to Employees’ Ethical Behavior: The Moderating Role of Person–Organization Fit. Pers. Rev. 2020, 50, 159–185. [Google Scholar] [CrossRef]
  22. Ilyas, S.; Abid, G.; Ashfaq, F. Enhancing the Perceived Organizational Support, Perceived Ethical-Philanthropic CSR and Subjective Well-Being: The Role of Ethical Leadership. Int. J. Ethics Syst. 2022, 39, 713–736. [Google Scholar] [CrossRef]
  23. Hu, S.; Chen, W.; Hu, H.; Huang, W.; Chen, J.; Hu, J. Coaching to Develop Leadership for Healthcare Managers: A Mixed-Method Systematic Review Protocol. Syst. Rev. 2022, 11, 67. [Google Scholar] [CrossRef] [PubMed]
  24. Qing, M.; Asif, M.; Hussain, A.; Jameel, A. Exploring the Impact of Ethical Leadership on Job Satisfaction and Organizational Commitment in Public Sector Organizations: The Mediating Role of Psychological Empowerment. Rev. Manag. Sci. 2020, 14, 1405–1432. [Google Scholar] [CrossRef]
  25. Brown, M.E.; Treviño, L.K. Ethical Leadership: A Review and Future Directions. Leadersh. Q. 2006, 17, 595–616. [Google Scholar] [CrossRef]
  26. Mayer, D.M.; Aquino, K.; Greenbaum, R.L.; Kuenzi, M. Who Displays Ethical Leadership, and Why Does It Matter? An Examination of Antecedents and Consequences of Ethical Leadership. Acad. Manag. J. 2012, 55, 151–171. [Google Scholar] [CrossRef]
  27. Avey, J.B.; Palanski, M.E.; Walumbwa, F.O. When Leadership Goes Unnoticed: The Moderating Role of Follower Self-Esteem on the Relationship between Ethical Leadership and Follower Behavior. J. Bus. Ethics 2011, 98, 573–582. [Google Scholar] [CrossRef]
  28. Islam, T.; Zulfiqar, I.; Aftab, H.; Alkharabsheh, O.H.M.; Shahid, M.K. Testing the Waters! The Role of Ethical Leadership towards Innovative Work Behavior through Psychosocial Well-Being and Perceived Organizational Support. J. Organ. Chang. Manag. 2024. [Google Scholar] [CrossRef]
  29. Schneider, B.; Ehrhart, M.G.; Macey, W.H. Organizational Climate and Culture. Annu. Rev. Psychol. 2013, 64, 361–388. [Google Scholar] [CrossRef]
  30. Blau, P.M. Exchange and Power in Social Life; John Wiley & Sons, Inc.: New York, NY, USA, 1964; ISBN 978-0-471-08030-5. [Google Scholar]
  31. Bakker, A.B.; Demerouti, E. The Job Demands-Resources Model: State of the Art. J. Manag. Psychol. 2007, 22, 309–328. [Google Scholar] [CrossRef]
  32. Bakker, A.B.; Demerouti, E.; Sanz-Vergel, A. Job Demands–Resources Theory: Ten Years Later. Annu. Rev. Organ. Psychol. Organ. Behav. 2023, 10, 25–53. [Google Scholar] [CrossRef]
  33. Demerouti, E.; Bakker, A.B.; Nachreiner, F.; Schaufeli, W.B. The Job Demands-Resources Model of Burnout. J. Appl. Psychol. 2001, 86, 499–512. [Google Scholar] [CrossRef]
  34. Awwad, R.I.; Aljuhmani, H.Y.; Hamdan, S. Examining the Relationships between Frontline Bank Employees’ Job Demands and Job Satisfaction: A Mediated Moderation Model. SAGE Open 2022, 12, 215824402210798. [Google Scholar] [CrossRef]
  35. Cropanzano, R.; Mitchell, M.S. Social Exchange Theory: An Interdisciplinary Review. J. Manag. 2005, 31, 874–900. [Google Scholar] [CrossRef]
  36. Cropanzano, R.; Anthony, E.L.; Daniels, S.R.; Hall, A.V. Social Exchange Theory: A Critical Review with Theoretical Remedies. Acad. Manag. Ann. 2017, 11, 479–516. [Google Scholar] [CrossRef]
  37. Chernyak-Hai, L.; Rabenu, E. The New Era Workplace Relationships: Is Social Exchange Theory Still Relevant? Ind. Organ. Psychol. 2018, 11, 456–481. [Google Scholar] [CrossRef]
  38. Birtch, T.A.; Chiang, F.F.T.; Van Esch, E. A Social Exchange Theory Framework for Understanding the Job Characteristics–Job Outcomes Relationship: The Mediating Role of Psychological Contract Fulfillment. Int. J. Hum. Resour. Manag. 2016, 27, 1217–1236. [Google Scholar] [CrossRef]
  39. Nahrgang, J.D.; Morgeson, F.P.; Hofmann, D.A. Safety at Work: A Meta-Analytic Investigation of the Link between Job Demands, Job Resources, Burnout, Engagement, and Safety Outcomes. J. Appl. Psychol. 2011, 96, 71–94. [Google Scholar] [CrossRef]
  40. Vullinghs, J.T.; De Hoogh, A.H.B.; Den Hartog, D.N.; Boon, C. Ethical and Passive Leadership and Their Joint Relationships with Burnout via Role Clarity and Role Overload. J. Bus. Ethics 2020, 165, 719–733. [Google Scholar] [CrossRef]
  41. Maslach, C.; Schaufeli, W.B.; Leiter, M.P. Job Burnout. Annu. Rev. Psychol. 2001, 52, 397–422. [Google Scholar] [CrossRef]
  42. Hoch, J.E.; Bommer, W.H.; Dulebohn, J.H.; Wu, D. Do Ethical, Authentic, and Servant Leadership Explain Variance above and Beyond Transformational Leadership? A Meta-Analysis. J. Manag. 2018, 44, 501–529. [Google Scholar] [CrossRef]
  43. Bosak, J.; Kilroy, S.; Chênevert, D.; Flood, P.C. Examining the Role of Transformational Leadership and Mission Valence on Burnout among Hospital Staff. J. Organ. Eff. People Perform. 2021, 8, 208–227. [Google Scholar] [CrossRef]
  44. De Clercq, D.; Mustafa, M.J. How Transformational Leaders Get Employees to Take Initiative and Display Creativity: The Catalytic Role of Work Overload. Pers. Rev. 2023, 53, 488–507. [Google Scholar] [CrossRef]
  45. Khuntia, R.; Suar, D. A Scale to Assess Ethical Leadership of Indian Private and Public Sector Managers. J. Bus. Ethics 2004, 49, 13–26. [Google Scholar] [CrossRef]
  46. Kanungo, R.N. Ethical Values of Transactional and Transformational Leaders. Can. J. Adm. Sci./Rev. Can. Sci. L’Adm. 2001, 18, 257–265. [Google Scholar] [CrossRef]
  47. Kalshoven, K.; Den Hartog, D.N.; De Hoogh, A.H.B. Ethical Leadership at Work Questionnaire (ELW): Development and Validation of a Multidimensional Measure. Leadersh. Q. 2011, 22, 51–69. [Google Scholar] [CrossRef]
  48. Treviño, L.K.; Brown, M.; Hartman, L.P. A Qualitative Investigation of Perceived Executive Ethical Leadership: Perceptions from Inside and Outside the Executive Suite. Hum. Relat. 2003, 56, 5–37. [Google Scholar] [CrossRef]
  49. Li, Y.; Xu, J.; Tu, Y.; Lu, X. Ethical Leadership and Subordinates’ Occupational Well-Being: A Multi-Level Examination in China. Soc. Indic. Res. 2014, 116, 823–842. [Google Scholar] [CrossRef]
  50. Huang, N.; Qiu, S.; Yang, S.; Deng, R. Ethical Leadership and Organizational Citizenship Behavior: Mediation of Trust and Psychological Well-Being. Psychol. Res. Behav. Manag. 2021, 14, 655–664. [Google Scholar] [CrossRef]
  51. Kalshoven, K.; Boon, C.T. Ethical Leadership, Employee Well-Being, and Helping. J. Pers. Psychol. 2012, 11, 60–68. [Google Scholar] [CrossRef]
  52. De Jonge, J.; Schaufeli, W.B. Job Characteristics and Employee Well-Being: A Test of Warr’s Vitamin Model in Health Care Workers Using Structural Equation Modelling. J. Organ. Behav. 1998, 19, 387–407. [Google Scholar] [CrossRef]
  53. Piccolo, R.F.; Greenbaum, R.; den Hartog, D.N.; Folger, R. The Relationship between Ethical Leadership and Core Job Characteristics. J. Organ. Behav. 2010, 31, 259–278. [Google Scholar] [CrossRef]
  54. Hayat Bhatti, M.; Akram, U.; Hasnat Bhatti, M.; Rasool, H.; Su, X. Unraveling the Effects of Ethical Leadership on Knowledge Sharing: The Mediating Roles of Subjective Well-Being and Social Media in the Hotel Industry. Sustainability 2020, 12, 8333. [Google Scholar] [CrossRef]
  55. Schwepker, C.H.; Valentine, S.R.; Giacalone, R.A.; Promislo, M. Good Barrels Yield Healthy Apples: Organizational Ethics as a Mechanism for Mitigating Work-Related Stress and Promoting Employee Well-Being. J. Bus. Ethics 2021, 174, 143–159. [Google Scholar] [CrossRef]
  56. Yang, C. Does Ethical Leadership Lead to Happy Workers? A Study on the Impact of Ethical Leadership, Subjective Well-Being, and Life Happiness in the Chinese Culture. J. Bus. Ethics 2014, 123, 513–525. [Google Scholar] [CrossRef]
  57. Anser, M.K.; Ali, M.; Usman, M.; Rana, M.L.T.; Yousaf, Z. Ethical Leadership and Knowledge Hiding: An Intervening and Interactional Analysis. Serv. Ind. J. 2021, 41, 307–329. [Google Scholar] [CrossRef]
  58. Wu, Y.; Fu, Q.; Akbar, S.; Samad, S.; Comite, U.; Bucurean, M.; Badulescu, A. Reducing Healthcare Employees’ Burnout through Ethical Leadership: The Role of Altruism and Motivation. Int. J. Environ. Res. Public Health 2022, 19, 13102. [Google Scholar] [CrossRef] [PubMed]
  59. Danna, K.; Griffin, R.W. Health and Well-Being in the Workplace: A Review and Synthesis of the Literature. J. Manag. 1999, 25, 357–384. [Google Scholar] [CrossRef]
  60. Ryff, C.D.; Keyes, C.L.M. The Structure of Psychological Well-Being Revisited. J. Personal. Soc. Psychol. 1995, 69, 719–727. [Google Scholar] [CrossRef]
  61. Maslach, C.; Jackson, S.E. The Measurement of Experienced Burnout. J. Organ. Behav. 1981, 2, 99–113. [Google Scholar] [CrossRef]
  62. Lizano, E.L. Examining the Impact of Job Burnout on the Health and Well-Being of Human Service Workers: A Systematic Review and Synthesis. Hum. Serv. Organ. Manag. Leadersh. Gov. 2015, 39, 167–181. [Google Scholar] [CrossRef]
  63. Nauman, S.; Raja, U.; Haq, I.U.; Bilal, W. Job Demand and Employee Well-Being: A Moderated Mediation Model of Emotional Intelligence and Surface Acting. Pers. Rev. 2019, 48, 1150–1168. [Google Scholar] [CrossRef]
  64. Boyd, C.M.; Bakker, A.B.; Pignata, S.; Winefield, A.H.; Gillespie, N.; Stough, C. A Longitudinal Test of the Job Demands-resources Model among Australian University Academics. Appl. Psychol. Int. Rev. 2011, 60, 112–140. [Google Scholar] [CrossRef]
  65. Haque, A. The COVID-19 Pandemic and the Role of Responsible Leadership in Health Care: Thinking beyond Employee Well-Being and Organisational Sustainability. Leadersh. Health Serv. 2021, 34, 52–68. [Google Scholar] [CrossRef] [PubMed]
  66. Spoorthy, M.S.; Pratapa, S.K.; Mahant, S. Mental Health Problems Faced by Healthcare Workers Due to the COVID-19 Pandemic—A Review. Asian J. Psychiatry 2020, 51, 102119. [Google Scholar] [CrossRef] [PubMed]
  67. Vanhaecht, K.; Seys, D.; Bruyneel, L.; Cox, B.; Kaesemans, G.; Cloet, M.; Van Den Broeck, K.; Cools, O.; De Witte, A.; Lowet, K.; et al. COVID-19 Is Having a Destructive Impact on Health-Care Workers’ Mental Well-Being. Int. J. Qual. Health Care 2021, 33, mzaa158. [Google Scholar] [CrossRef] [PubMed]
  68. Lee, H.-W.; Rhee, D.-Y. Exploring the Factors of Employee Subjective Well-Being in the Midst of Health Threat: An Evidence from the U.S. Federal Government during the COVID-19. Sustainability 2022, 14, 408. [Google Scholar] [CrossRef]
  69. Calia, C.; Reid, C.; Guerra, C.; Oshodi, A.-G.; Marley, C.; Amos, A.; Barrera, P.; Grant, L. Ethical Challenges in the COVID-19 Research Context: A Toolkit for Supporting Analysis and Resolution. Ethics Behav. 2021, 31, 60–75. [Google Scholar] [CrossRef]
  70. Li, G.; Lu, Y.; Eliason, R.G. How Does Ethical Leadership Enhance Employee Creativity during the COVID-19 Pandemic in China? Ethics Behav. 2022, 32, 532–548. [Google Scholar] [CrossRef]
  71. Ali Awad, N.H.; Al-anwer Ashour, H.M. Crisis, Ethical Leadership and Moral Courage: Ethical Climate during COVID-19. Nurs. Ethics 2022, 29, 1441–1456. [Google Scholar] [CrossRef]
  72. Zacher, H.; Rudolph, C.W. Individual Differences and Changes in Subjective Wellbeing during the Early Stages of the COVID-19 Pandemic. Am. Psychol. 2021, 76, 50–62. [Google Scholar] [CrossRef] [PubMed]
  73. Markey, K.; Ventura, C.A.A.; Donnell, C.O.; Doody, O. Cultivating Ethical Leadership in the Recovery of COVID-19. J. Nurs. Manag. 2021, 29, 351–355. [Google Scholar] [CrossRef] [PubMed]
  74. Teimouri, H.; Hosseini, S.H.; Ardeshiri, A. The Role of Ethical Leadership in Employee Psychological Well-Being (Case Study: Golsar Fars Company). J. Hum. Behav. Soc. Environ. 2018, 28, 355–369. [Google Scholar] [CrossRef]
  75. Parker, C.P.; Baltes, B.B.; Young, S.A.; Huff, J.W.; Altmann, R.A.; LaCost, H.A.; Roberts, J.E. Relationships between Psychological Climate Perceptions and Work Outcomes: A Meta-Analytic Review. J. Organ. Behav. 2003, 24, 389–416. [Google Scholar] [CrossRef]
  76. Demirtas, O.; Akdogan, A.A. The Effect of Ethical Leadership Behavior on Ethical Climate, Turnover Intention, and Affective Commitment. J. Bus. Ethics 2015, 130, 59–67. [Google Scholar] [CrossRef]
  77. Bronkhorst, B.; Tummers, L.; Steijn, B.; Vijverberg, D. Organizational Climate and Employee Mental Health Outcomes: A Systematic Review of Studies in Health Care Organizations. Health Care Manag. Rev. 2015, 40, 254. [Google Scholar] [CrossRef]
  78. Jones, E.; Chonko, L.; Rangarajan, D.; Roberts, J. The Role of Overload on Job Attitudes, Turnover Intentions, and Salesperson Performance. J. Bus. Res. 2007, 60, 663–671. [Google Scholar] [CrossRef]
  79. Schaufeli, W.B.; Bakker, A.B. Job Demands, Job Resources, and Their Relationship with Burnout and Engagement: A Multi-Sample Study. J. Organ. Behav. 2004, 25, 293–315. [Google Scholar] [CrossRef]
  80. Halbesleben, J.R.B.; Buckley, M.R. Burnout in Organizational Life. J. Manag. 2004, 30, 859–879. [Google Scholar] [CrossRef]
  81. Akirmak, U.; Ayla, P. How Is Time Perspective Related to Burnout and Job Satisfaction? A Conservation of Resources Perspective. Personal. Individ. Differ. 2021, 181, 109667. [Google Scholar] [CrossRef]
  82. Manzano García, G.; Ayala Calvo, J.C. The Threat of COVID-19 and Its Influence on Nursing Staff Burnout. J. Adv. Nurs. 2021, 77, 832–844. [Google Scholar] [CrossRef]
  83. Mo, S.; Shi, J. Linking Ethical Leadership to Employee Burnout, Workplace Deviance and Performance: Testing the Mediating Roles of Trust in Leader and Surface Acting. J. Bus. Ethics 2017, 144, 293–303. [Google Scholar] [CrossRef]
  84. Den Hartog, D.N. Ethical Leadership. Annu. Rev. Organ. Psychol. Organ. Behav. 2015, 2, 409–434. [Google Scholar] [CrossRef]
  85. Okpozo, A.Z.; Gong, T.; Ennis, M.C.; Adenuga, B. Investigating the Impact of Ethical Leadership on Aspects of Burnout. Leadersh. Organ. Dev. J. 2017, 38, 1128–1143. [Google Scholar] [CrossRef]
  86. Fu, J.; Long, Y.; He, Q.; Liu, Y. Can Ethical Leadership Improve Employees’ Well-Being at Work? Another Side of Ethical Leadership Based on Organizational Citizenship Anxiety. Front. Psychol. 2020, 11, 1478. [Google Scholar] [CrossRef] [PubMed]
  87. Hassan, S.; Kaur, P.; Muchiri, M.; Ogbonnaya, C.; Dhir, A. Unethical Leadership: Review, Synthesis and Directions for Future Research. J. Bus. Ethics 2023, 183, 511–550. [Google Scholar] [CrossRef]
  88. Franczukowska, A.A.; Krczal, E.; Knapp, C.; Baumgartner, M. Examining Ethical Leadership in Health Care Organizations and Its Impacts on Employee Work Attitudes: An Empirical Analysis from Austria. Leadersh. Health Serv. 2021, 34, 229–247. [Google Scholar] [CrossRef] [PubMed]
  89. Sharma, A.; Agrawal, R.; Khandelwal, U. Developing Ethical Leadership for Business Organizations: A Conceptual Model of Its Antecedents and Consequences. Leadersh. Organ. Dev. J. 2019, 40, 712–734. [Google Scholar] [CrossRef]
  90. Aljuhmani, H.Y.; Emeagwali, O.L.; Ababneh, B. The Relationships between CEOs’ Psychological Attributes, Top Management Team Behavioral Integration and Firm Performance. Int. J. Organ. Theory Behav. 2021, 24, 126–145. [Google Scholar] [CrossRef]
  91. Nazari, J.A.; Herremans, I.M.; Isaac, R.G.; Manassian, A.; Kline, T.J.B. Organizational Culture, Climate and IC: An Interaction Analysis. J. Intellect. Cap. 2011, 12, 224–248. [Google Scholar] [CrossRef]
  92. Kuenzi, M.; Mayer, D.M.; Greenbaum, R.L. Creating an Ethical Organizational Environment: The Relationship between Ethical Leadership, Ethical Organizational Climate, and Unethical Behavior. Pers. Psychol. 2020, 73, 43–71. [Google Scholar] [CrossRef]
  93. Liu, X.; Huang, Y.; Kim, J.; Na, S. How Ethical Leadership Cultivates Innovative Work Behaviors in Employees? Psychological Safety, Work Engagement and Openness to Experience. Sustainability 2023, 15, 3452. [Google Scholar] [CrossRef]
  94. Lu, C.-S.; Lin, C.-C. The Effects of Ethical Leadership and Ethical Climate on Employee Ethical Behavior in the International Port Context. J. Bus. Ethics 2014, 124, 209–223. [Google Scholar] [CrossRef]
  95. Tzeng, H.-M.; Ketefian, S.; Redman, R.W. Relationship of Nurses’ Assessment of Organizational Culture, Job Satisfaction, and Patient Satisfaction with Nursing Care. Int. J. Nurs. Stud. 2002, 39, 79–84. [Google Scholar] [CrossRef]
  96. Carr, J.Z.; Schmidt, A.M.; Ford, J.K.; DeShon, R.P. Climate Perceptions Matter: A Meta-Analytic Path Analysis Relating Molar Climate, Cognitive and Affective States, and Individual Level Work Outcomes. J. Appl. Psychol. 2003, 88, 605–619. [Google Scholar] [CrossRef]
  97. Liu, J.; Siu, O.-L.; Shi, K. Transformational Leadership and Employee Well-Being: The Mediating Role of Trust in the Leader and Self-Efficacy. Appl. Psychol. 2010, 59, 454–479. [Google Scholar] [CrossRef]
  98. Nielsen, K.; Munir, F. How Do Transformational Leaders Influence Followers’ Affective Well-Being? Exploring the Mediating Role of Self-Efficacy. Work. Stress 2009, 23, 313–329. [Google Scholar] [CrossRef]
  99. Nazir, S.; Shafi, A.; Asadullah, M.A.; Qun, W.; Khadim, S. How Does Ethical Leadership Boost Follower’s Creativity? Examining Mediation and Moderation Mechanisms. Eur. J. Innov. Manag. 2020, 24, 1700–1729. [Google Scholar] [CrossRef]
  100. Spence Laschinger, H.K.; Leiter, M.; Day, A.; Gilin, D. Workplace Empowerment, Incivility, and Burnout: Impact on Staff Nurse Recruitment and Retention Outcomes. J. Nurs. Manag. 2009, 17, 302–311. [Google Scholar] [CrossRef] [PubMed]
  101. Giallouros, G.; Nicolaides, C.; Gabriel, E.; Economou, M.; Georgiou, A.; Diakourakis, M.; Soteriou, A.; Nikolopoulos, G.K. Enhancing Employee Engagement through Integrating Leadership and Employee Job Resources: Evidence from a Public Healthcare Setting. Int. Public Manag. J. 2023. [Google Scholar] [CrossRef]
  102. Sein Myint, N.N.; Kunaviktikul, W.; Stark, A. A Contemporary Understanding of Organizational Climate in Healthcare Setting: A Concept Analysis. Nurs. Forum 2021, 56, 172–180. [Google Scholar] [CrossRef]
  103. Shin, Y. CEO Ethical Leadership, Ethical Climate, Climate Strength, and Collective Organizational Citizenship Behavior. J. Bus. Ethics 2012, 108, 299–312. [Google Scholar] [CrossRef]
  104. Schneider, B. Organizational Climates: An Essay. Pers. Psychol. 1975, 28, 447–479. [Google Scholar] [CrossRef]
  105. Abou Hashish, E.A. Relationship between Ethical Work Climate and Nurses’ Perception of Organizational Support, Commitment, Job Satisfaction and Turnover Intent. Nurs. Ethics 2017, 24, 151–166. [Google Scholar] [CrossRef] [PubMed]
  106. Stordeur, S.; D’Hoore, W.; Vandenberghe, C. Leadership, Organizational Stress, and Emotional Exhaustion among Hospital Nursing Staff. J. Adv. Nurs. 2001, 35, 533–542. [Google Scholar] [CrossRef]
  107. Kanste, O.; Kyngäs, H.; Nikkilä, J. The Relationship between Multidimensional Leadership and Burnout among Nursing Staff. J. Nurs. Manag. 2007, 15, 731–739. [Google Scholar] [CrossRef]
  108. Kelly, R.J.; Hearld, L.R. Burnout and Leadership Style in Behavioral Health Care: A Literature Review. J. Behav. Health Serv. Res. 2020, 47, 581–600. [Google Scholar] [CrossRef] [PubMed]
  109. Sethibe, T.; Steyn, R. The Mediating Effect of Organizational Climate on the Relationship between Leadership Styles and Their Components on Innovative Behaviour. J. Entrep. Innov. Emerg. Econ. 2018, 4, 22–32. [Google Scholar] [CrossRef]
  110. Moslehpour, M.; Altantsetseg, P.; Mou, W.; Wong, W.-K. Organizational Climate and Work Style: The Missing Links for Sustainability of Leadership and Satisfied Employees. Sustainability 2019, 11, 125. [Google Scholar] [CrossRef]
  111. Bolino, M.C.; Turnley, W.H. The Personal Costs of Citizenship Behavior: The Relationship between Individual Initiative and Role Overload, Job Stress, and Work-Family Conflict. J. Appl. Psychol. 2005, 90, 740–748. [Google Scholar] [CrossRef]
  112. Alfes, K.; Shantz, A.D.; Ritz, A. A Multilevel Examination of the Relationship between Role Overload and Employee Subjective Health: The Buffering Effect of Support Climates. Hum. Resour. Manag. 2018, 57, 659–673. [Google Scholar] [CrossRef]
  113. Matthews, R.A.; Winkel, D.E.; Wayne, J.H. A Longitudinal Examination of Role Overload and Work–Family Conflict: The Mediating Role of Interdomain Transitions. J. Organ. Behav. 2014, 35, 72–91. [Google Scholar] [CrossRef]
  114. Peters, L.H.; O’Connor, E.J. Situational Constraints and Work Outcomes: The Influences Of a Frequently Overlooked Construct. Acad. Manag. Rev. 1980, 5, 391–397. [Google Scholar] [CrossRef]
  115. Wang, F.; Ding, H. Core Self-Evaluation and Work Engagement: Employee Strengths Use as a Mediator and Role Overload as a Moderator. Curr. Psychol. 2024, 43, 17614–17624. [Google Scholar] [CrossRef]
  116. Ding, H.; Yu, E.; Liu, J. Professional Commitment Matters! Linking Employee Strengths Use to Organizational Citizenship Behavior. Curr. Psychol. 2024, 43, 4505–4515. [Google Scholar] [CrossRef]
  117. Mulki, J.P.; Jaramillo, F.; Locander, W.B. Emotional Exhaustion and Organizational Deviance: Can the Right Job and a Leader’s Style Make a Difference? J. Bus. Res. 2006, 59, 1222–1230. [Google Scholar] [CrossRef]
  118. Ding, H.; Ye, Y.; Yu, E. Humble Leadership and Follower Strengths Use: Leader-Member Exchange as a Mediator and Role Overload as a Moderator. J. Psychol. Afr. 2023, 33, 578–584. [Google Scholar] [CrossRef]
  119. Quade, M.J.; Perry, S.J.; Hunter, E.M. Boundary Conditions of Ethical Leadership: Exploring Supervisor-Induced and Job Hindrance Stress as Potential Inhibitors. J. Bus. Ethics 2019, 158, 1165–1184. [Google Scholar] [CrossRef]
  120. Mostafa, A.M.S.; Farley, S.; Zaharie, M. Examining the Boundaries of Ethical Leadership: The Harmful Effect of Co-Worker Social Undermining on Disengagement and Employee Attitudes. J. Bus. Ethics 2021, 174, 355–368. [Google Scholar] [CrossRef]
  121. Sherf, E.N.; Parke, M.R.; Isaakyan, S. Distinguishing Voice and Silence at Work: Unique Relationships with Perceived Impact, Psychological Safety, and Burnout. Acad. Manag. J. 2021, 64, 114–148. [Google Scholar] [CrossRef]
  122. Mansour, S.; Tremblay, D.-G. How Can We Decrease Burnout and Safety Workaround Behaviors in Health Care Organizations? The Role of Psychosocial Safety Climate. Pers. Rev. 2019, 48, 528–550. [Google Scholar] [CrossRef]
  123. Dollard, M.F.; Bakker, A.B. Psychosocial Safety Climate as a Precursor to Conducive Work Environments, Psychological Health Problems, and Employee Engagement. J. Occup. Organ. Psychol. 2010, 83, 579–599. [Google Scholar] [CrossRef]
  124. Kacmar, K.M.; Andrews, M.C.; Valle, M.; Tillman, C.J.; Clifton, C. The Interactive Effects of Role Overload and Resilience on Family-Work Enrichment and Associated Outcomes. J. Soc. Psychol. 2020, 160, 688–701. [Google Scholar] [CrossRef] [PubMed]
  125. Berberoglu, A. Impact of Organizational Climate on Organizational Commitment and Perceived Organizational Performance: Empirical Evidence from Public Hospitals. BMC Health Serv. Res. 2018, 18, 399. [Google Scholar] [CrossRef]
  126. Huang, Q.; Wang, Y.; Yuan, K.; Liu, H. How Role Overload Affects Physical and Psychological Health of Low-Ranking Government Employees at Different Ages: The Mediating Role of Burnout. Saf. Health Work. 2022, 13, 207–212. [Google Scholar] [CrossRef]
  127. Pecino, V.; Mañas, M.A.; Díaz-Fúnez, P.A.; Aguilar-Parra, J.M.; Padilla-Góngora, D.; López-Liria, R. Organisational Climate, Role Stress, and Public Employees’ Job Satisfaction. Int. J. Environ. Res. Public Health 2019, 16, 1792. [Google Scholar] [CrossRef]
  128. Green, A.E.; Albanese, B.J.; Shapiro, N.M.; Aarons, G.A. The Roles of Individual and Organizational Factors in Burnout among Community-Based Mental Health Service Providers. Psychol. Serv. 2014, 11, 41–49. [Google Scholar] [CrossRef] [PubMed]
  129. Chen, S.-C.; Chiang, Y.-H.; Huang, Y.-J. Exploring the Psychological Mechanisms Linking Work-Related Factors with Work–Family Conflict and Work–Family Facilitation among Taiwanese Nurses. Int. J. Hum. Resour. Manag. 2017, 28, 581–602. [Google Scholar] [CrossRef]
  130. Lewis, H.S.; Cunningham, C.J.L. Linking Nurse Leadership and Work Characteristics to Nurse Burnout and Engagement. Nurs. Res. 2016, 65, 13. [Google Scholar] [CrossRef]
  131. Bakker, A.B.; Demerouti, E.; Euwema, M.C. Job Resources Buffer the Impact of Job Demands on Burnout. J. Occup. Health Psychol. 2005, 10, 170–180. [Google Scholar] [CrossRef]
  132. Schaufeli, W.B. Engaging Leadership in the Job Demands-Resources Model. Career Dev. Int. 2015, 20, 446–463. [Google Scholar] [CrossRef]
  133. Kohnen, D.; De Witte, H.; Schaufeli, W.B.; Dello, S.; Bruyneel, L.; Sermeus, W. Engaging Leadership and Nurse Well-Being: The Role of the Work Environment and Work Motivation—A Cross-Sectional Study. Hum. Resour. Health 2024, 22, 8. [Google Scholar] [CrossRef] [PubMed]
  134. Azar, S.; Alolayyan, M.N.; Alyahya, M. Exploring the Intentions of Hospital Managers to Use Evidence-Based Management in Decision-Making Process. Int. J. Healthc. Manag. 2023. [Google Scholar] [CrossRef]
  135. Hijazi, R. The Moderating Effect of Knowledge-Sharing on Learning Organisation and Quality Improvement Practices. Bus. Process Manag. J. 2023, 29, 1810–1837. [Google Scholar] [CrossRef]
  136. Aljuhmani, H.Y.; Emeagwali, O.L.; Ababneh, B. Revisiting the Miles and Snow Typology of Organizational Strategy: Uncovering Interrelationships between Strategic Decision-Making and Public Organizational Performance. Int. Rev. Public Adm. 2021, 26, 209–229. [Google Scholar] [CrossRef]
  137. Sekaran, U.; Bougie, R. Research Methods for Business: A Skill-Building Approach, 7th ed.; John Wiley & Sons: Chichester, UK, 2016; ISBN 978-1-119-26684-6. [Google Scholar]
  138. Aljuhmani, H.Y.; Elrehail, H.; Bayram, P.; Samarah, T. Linking Social Media Marketing Efforts with Customer Brand Engagement in Driving Brand Loyalty. Asia Pac. J. Mark. Logist. 2023, 35, 1719–1738. [Google Scholar] [CrossRef]
  139. Brislin, R.W. The Wording and Translation of Research Instruments. In Field Methods in Cross-Cultural Research; Cross-Cultural Research and Methodology Series; Sage Publications, Inc.: Thousand Oaks, CA, USA, 1986; Volume 8, pp. 137–164. ISBN 978-0-8039-2549-6. [Google Scholar]
  140. Demerouti, E.; Bakker, A.B.; Vardakou, I.; Kantas, A. The Convergent Validity of Two Burnout Instruments. Eur. J. Psychol. Assess. 2003, 19, 12. [Google Scholar] [CrossRef]
  141. Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.-Y.; Podsakoff, N.P. Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. J. Appl. Psychol. 2003, 88, 879–903. [Google Scholar] [CrossRef]
  142. Chang, S.-J.; van Witteloostuijn, A.; Eden, L. From the Editors: Common Method Variance in International Business Research. J. Int. Bus. Stud. 2010, 41, 178–184. [Google Scholar] [CrossRef]
  143. Harman, H.H. Modern Factor Analysis, 3rd ed.; Revised; University of Chicago Press: Chicago, IL, USA, 1976; ISBN 978-0-226-31652-9. [Google Scholar]
  144. Hair, J.; Hult, G.T.M.; Ringle, C.M.; Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed.; SAGE Publications, Inc.: Los Angeles, CA, USA, 2017; ISBN 978-1-4833-7744-5. [Google Scholar]
  145. Richter, N.F.; Sinkovics, R.R.; Ringle, C.M.; Schlägel, C. A Critical Look at the Use of SEM in International Business Research. Int. Mark. Rev. 2016, 33, 376–404. [Google Scholar] [CrossRef]
  146. Anderson, J.C.; Gerbing, D.W. Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychol. Bull. 1988, 103, 411–423. [Google Scholar] [CrossRef]
  147. Samarah, T.; Bayram, P.; Aljuhmani, H.Y.; Elrehail, H. The Role of Brand Interactivity and Involvement in Driving Social Media Consumer Brand Engagement and Brand Loyalty: The Mediating Effect of Brand Trust. J. Res. Interact. Mark. 2022, 16, 648–664. [Google Scholar] [CrossRef]
  148. Hair, J.F.; Howard, M.C.; Nitzl, C. Assessing Measurement Model Quality in PLS-SEM Using Confirmatory Composite Analysis. J. Bus. Res. 2020, 109, 101–110. [Google Scholar] [CrossRef]
  149. Shmueli, G.; Ray, S.; Velasquez Estrada, J.M.; Chatla, S.B. The Elephant in the Room: Predictive Performance of PLS Models. J. Bus. Res. 2016, 69, 4552–4564. [Google Scholar] [CrossRef]
  150. Hair, J.F.; Risher, J.J.; Sarstedt, M.; Ringle, C.M. When to Use and How to Report the Results of PLS-SEM. Eur. Bus. Rev. 2019, 31, 2–24. [Google Scholar] [CrossRef]
  151. Hair, J.F.; Sarstedt, M.; Hopkins, L.; Kuppelwieser, V.G. Partial Least Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool in Business Research. Eur. Bus. Rev. 2014, 26, 106–121. [Google Scholar] [CrossRef]
  152. Dijkstra, T.K.; Henseler, J. Consistent Partial Least Squares Path Modeling. MIS Q. 2015, 39, 297–316. [Google Scholar] [CrossRef]
  153. Fornell, C.; Larcker, D.F. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
  154. Henseler, J.; Ringle, C.M.; Sarstedt, M. A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. J. Acad. Mark. Sci. 2015, 43, 115–135. [Google Scholar] [CrossRef]
  155. Kline, R.B. Principles and Practice of Structural Equation Modeling, 4th ed.; The Guilford Press: New York, NY, USA, 2015; ISBN 978-1-4625-2334-4. [Google Scholar]
  156. Ringle, C.M.; Wende, S.; Becker, J.-M. SmartPLS 4; SmartPLS GmbH: Oststeinbek, Germany, 2022. [Google Scholar]
  157. Streukens, S.; Leroi-Werelds, S. Bootstrapping and PLS-SEM: A Step-by-Step Guide to Get More out of Your Bootstrap Results. Eur. Manag. J. 2016, 34, 618–632. [Google Scholar] [CrossRef]
  158. Aljuhmani, H.Y.; Ababneh, B.; Emeagwali, L.; Elrehail, H. Strategic Stances and Organizational Performance: Are Strategic Performance Measurement Systems the Missing Link? Asia-Pac. J. Bus. Adm. 2024, 16, 282–306. [Google Scholar] [CrossRef]
  159. Falk, R.F.; Miller, N.B. A Primer for Soft Modeling; University of Akron Press: Akron, OH, USA, 1992; ISBN 978-0-9622628-4-5. [Google Scholar]
  160. Neiroukh, S.; Aljuhmani, H.Y.; Alnajdawi, S. In the Era of Emerging Technologies: Discovering the Impact of Artificial Intelligence Capabilities on Timely Decision-Making and Business Performance. In Proceedings of the 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), Manama, Bahrain, 28–29 January 2024; pp. 1–6. [Google Scholar]
  161. Al-Geitany, S.; Aljuhmani, H.Y.; Emeagwali, O.L.; Nasr, E. Consumer Behavior in the Post-COVID-19 Era: The Impact of Perceived Interactivity on Behavioral Intention in the Context of Virtual Conferences. Sustainability 2023, 15, 8600. [Google Scholar] [CrossRef]
  162. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; L. Erlbaum Associates: Hillsdale, NJ, USA, 1988; ISBN 978-1-134-74270-7. [Google Scholar]
  163. Henseler, J.; Fassott, G. Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures. In Handbook of Partial Least Squares: Concepts, Methods and Applications; Esposito Vinzi, V., Chin, W.W., Henseler, J., Wang, H., Eds.; Springer Handbooks of Computational Statistics; Springer: Berlin/Heidelberg, Germany, 2010; pp. 713–735. ISBN 978-3-540-32827-8. [Google Scholar]
  164. Christensen-Salem, A.; Walumbwa, F.O.; Babalola, M.T.; Guo, L.; Misati, E. A Multilevel Analysis of the Relationship between Ethical Leadership and Ostracism: The Roles of Relational Climate, Employee Mindfulness, and Work Unit Structure. J. Bus. Ethics 2021, 171, 619–638. [Google Scholar] [CrossRef]
  165. Schaufeli, W.B. Applying the Job Demands-Resources Model: A ‘How to’ Guide to Measuring and Tackling Work Engagement and Burnout. Organ. Dyn. 2017, 46, 120–132. [Google Scholar] [CrossRef]
  166. Baka, Ł.; Ścigała, D.; Grala, K. Not All Demands Are Exhausted for Healthcare Workers. A Cross-Lagged Study on the Buffering Effect of Leadership Resources. Sustainability 2021, 13, 10623. [Google Scholar] [CrossRef]
Figure 1. Research model.
Figure 1. Research model.
Behavsci 14 00490 g001
Figure 2. Structural model results.
Figure 2. Structural model results.
Behavsci 14 00490 g002
Figure 3. Interaction effect of role overload in the relationship between ethical leadership and job burnout.
Figure 3. Interaction effect of role overload in the relationship between ethical leadership and job burnout.
Behavsci 14 00490 g003
Figure 4. Interaction effect of role overload in the relationship between organizational climate and job burnout.
Figure 4. Interaction effect of role overload in the relationship between organizational climate and job burnout.
Behavsci 14 00490 g004
Table 1. Characteristics of the participants.
Table 1. Characteristics of the participants.
Demographic ProfileCharacteristicFrequencyPercentage of Respondents
GenderMale16161.9%
Female9938.1%
Marital statusSingle8331.9%
Married17768.1%
Education LevelBachelor16864.6%
Diploma or below6525.0%
Postgraduate2710.4%
ExperienceBetween 10 and 15 years5922.7%
More than 15 years 7428.5%
Between 5 and less than 10 years6324.2%
Below 5 years6424.6%
PositionAdministrative staff3413.1%
Medical professionals22686.9%
Total260100.0%
Table 2. Reliability and validity of the measurement model.
Table 2. Reliability and validity of the measurement model.
FactorsIndicatorsOuter LoadingsVIFCronbach Alpha ValuesRhoACRAVE
Ethical Leadership0.9550.9580.9610.714
EL10.7711.677
EL20.8021.512
EL30.7991.444
EL40.8681.594
EL50.9081.478
EL60.8481.562
EL70.8982.227
EL80.8562.424
EL90.8552.012
EL100.8352.316
Organizational Climate0.9280.9310.9400.636
OC10.9142.472
OC20.7052.023
OC30.7802.669
OC40.7832.019
OC50.9042.319
OC60.9312.186
OC70.9092.719
OC80.8202.006
OC90.8672.338
OC100.9202.735
OC110.8442.008
Job Burnout 0.8510.8880.8820.522
JB10.7551.586
JB20.7981.568
JB30.8251.854
JB40.7791.717
JB50.7151.461
JB60.8681.376
Role Overload0.8650.8750.8940.589
RO10.7622.091
RO20.8312.957
RO30.7192.990
RO40.7911.870
RO50.7511.587
RO60.8351.592
RO70.8681.947
RO80.8521.726
RO90.7452.141
RO100.7681.282
RO110.8342.622
RO120.7611.616
RO130.7042.406
Table 3. Discriminant validity of constructs.
Table 3. Discriminant validity of constructs.
Factors1234
1. Ethical leadership0.8450.2790.1740.757
2. Job burnout−0.2670.7230.6540.226
3. Role overload−0.1250.6090.6990.164
4. Organizational climate0.712−0.212−0.0620.797
Note: Values in bold and italic denote the square of each variable’s AVE, where the lower values denote the surpassed intercorrelations and the upper-level values denote the HTMT values.
Table 4. Results of structural model hypotheses testing.
Table 4. Results of structural model hypotheses testing.
PathHypothesisStandardized Path Coefficientst-ValuesConfidence IntervalsDecision
Lower
2.5%
Upper
97.5%
Direct effects
Ethical leadership → job burnoutH1−0.286 *2.497−0.508−0.060Supported
Ethical leadership → organizational climateH20.677 ***21.8510.6210.742Supported
Organizational climate → job burnoutH3−0.144 *2.132−0.285−0.017Supported
Indirect effect
EL → (OC) → JBH4−0.097 *2.099−0.197−0.012Supported
Interaction effects
EL_X_RO → job burnoutH5a0.218 *2.5390.0270.374Supported
OC_X_RO → job burnoutH5b−0.165 *2.055−0.303−0.025Supported
Note: In our study, EL_X_RO represents the interaction between ethical leadership and role overload, while OC_X_RO represents the interaction between organizational climate and role overload. Significance levels are denoted as follows: * indicates statistical significance at p < 0.050 and *** indicates statistical significance at p < 0.001.
Table 5. Strength of moderating effects.
Table 5. Strength of moderating effects.
Moderating VariableR2F2Effect Size
IncludedExcluded
Role overload0.4270.0750.614Strong
Note: In our study, R2_included represents the coefficient of determination (R2) of the model with the moderator (role overload), and R2_excluded represents the R2 of the model without the moderator.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Al’Ararah, K.; Çağlar, D.; Aljuhmani, H.Y. Mitigating Job Burnout in Jordanian Public Healthcare: The Interplay between Ethical Leadership, Organizational Climate, and Role Overload. Behav. Sci. 2024, 14, 490. https://doi.org/10.3390/bs14060490

AMA Style

Al’Ararah K, Çağlar D, Aljuhmani HY. Mitigating Job Burnout in Jordanian Public Healthcare: The Interplay between Ethical Leadership, Organizational Climate, and Role Overload. Behavioral Sciences. 2024; 14(6):490. https://doi.org/10.3390/bs14060490

Chicago/Turabian Style

Al’Ararah, Kayed, Dilber Çağlar, and Hasan Yousef Aljuhmani. 2024. "Mitigating Job Burnout in Jordanian Public Healthcare: The Interplay between Ethical Leadership, Organizational Climate, and Role Overload" Behavioral Sciences 14, no. 6: 490. https://doi.org/10.3390/bs14060490

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop