Search Results (32)

This paper examines how the identification of climate risks relates to the declared scope of disclosures under the ESRS E1 standard, growing regulatory pressure, and potential inconsistencies between internal risk assessment and external reporting. It introduces a composite measure, the Climate Reporting Readiness Index (CRRI), which combines three elements: risk identification, declared disclosures, and the consistency between them. The study is methodological in scope and aims to propose a generalizable measurement framework. The results show a statistically significant negative association between the extent of risk identification and the scope of declared disclosures, indicating that broader internal recognition of climate risks does not necessarily translate into broader declared reporting. Differences between identified risks and disclosures are also observed, suggesting that reported information does not fully correspond to the scope of identified risks. Transition risks are identified more frequently than physical risks. Analysis of specific disclosures shows that the identification of transition risks is associated with a lower probability of declaring information on transition plans and policies, while no robust statistically significant relationship is found between physical risks and disclosures of financial effects. The findings highlight the practical need to strengthen the alignment between internal climate risk identification processes and external ESRS E1 disclosure practices, as these processes may remain partially disconnected in organizational practice. The proposed index provides a diagnostic tool for companies seeking to improve reporting processes, regulators monitoring preparedness for ESRS E1 implementation, and stakeholders assessing the credibility and maturity of climate-related disclosures. Full article

The increasing digitalization of industrial ecosystems under the Industrial Revolution 4.0 has intensified the demand for fast, reliable, and inclusive broadband connectivity. The expansion of 5G technology led by data-driven services addresses the growing demand for high-capacity, low-latency communication through Fixed Wireless Access (FWA) as a cost-effective broadband solution. FWA is a wireless broadband access technology that provides high-speed connectivity to fixed locations using 5G New Radio (NR) infrastructure instead of physical fiber networks, while reducing deployment time and infrastructure investment. This review examines the technical challenges, economic business implications, and comparative performance of 5G FWA relative to other broadband technologies. It also examines the implementation of Enhanced Telecom Operations Map (eTOM) in several telecommunication network functions. The analysis indicates that successful 5G FWA implementation requires not only technical optimization, but also the adaption of standardized, scalable, and AI-driven network management practices. Emphasis is placed on the role of the eTOM as a structured framework for aligning technical, operational, and organizational processes in FWA deployment. This review highlights how eTOM can support readiness assessment, process harmonization, and lifecycle management to ensure consistent and efficient service delivery. This study provides a comprehensive reference for researchers and industry stakeholders in developing sustainable and future-ready 5G FWA networks. Full article

Leading agribusiness firms are pivotal to modernizing agricultural supply chains, yet evidence on how digital transformation translates into high-quality development remains fragmented. Using a 2024 sample of 30 Chinese national agribusiness leaders and the technology–organization–environment (TOE) framework, we integrate grey relational analysis with DEMATEL to quantify interdependencies among conditions, and combine fuzzy-set QCA with necessary condition analysis to identify both configurational pathways and binding constraints. The results of the analysis indicate that high-quality development rarely stems from a single driver; it emerges from complementary bundles linking digital technologies and R&D investment with organizational readiness (e.g., talent and governance) under supportive external conditions (e.g., policy incentives and market pressure). The findings provide a configurational explanation of digital upgrading in agribusiness and inform differentiated digital strategies for managers and policymakers. Full article

Background: Health literacy is increasingly recognized as an essential determinant of health, readiness, and safety in the military, especially as health systems become more digitalized. However, evidence on general and digital health literacy in the armed forces remains limited. This study examined levels of general health literacy and digital health literacy among Lithuanian soldiers and explored their associations with sociodemographic, service-related, and health characteristics. Methods: A cross-sectional survey was conducted among 603 military personnel serving in the national armed forces. General and digital health literacy were measured with HLS19-Q12 and HLS19-DIGI. Data on sociodemographic and military characteristics, self-rated health, and self-reported long-term illnesses were collected. Descriptive statistics, correlation analyses, and multivariable regression models were used to analyze the data. Results: The sample was predominantly male (81.9%) with a mean age of 39.08 years (SD = 8.89). The mean general health literacy score was 80.1 (SD = 19.17), whereas the mean digital health literacy score was 67.81 (SD = 30.05). Overall, 45.0% of soldiers had excellent general health literacy, and 12.0% had inadequate general health literacy; 42.1% had excellent digital health literacy, and 35% had inadequate digital health literacy. Higher levels of health literacy were positively associated with better self-rated health and social status. No statistically significant associations were found between health literacy and gender, age, education, length of service, type of military service, and self-reported long-term health complaints. Conclusions: Military personnel in this study displayed relatively high general health literacy, yet digital health literacy was lower and more unevenly distributed, indicating a potential vulnerability for health outcomes as access to information, communication, and care increasingly relies on digital platforms. Given the cross-sectional design, causal inferences cannot be drawn. Military health services may build on existing health literacy strengths while considering strategies to address digital health literacy gaps (e.g., targeted training, tailored support, and user-friendly digital solutions, including service design), acknowledging that feasibility and implementation depend on organizational context and resources. Full article

Non-profit organizations (NPOs) are crucial for building equitable and thriving communities. The majority of NPOs are small, community-based organizations that serve local needs. Despite their significance, NPOs often lack the resources to manage cybersecurity effectively, and information about them is usually found in nonacademic or practitioner sources rather than in the academic literature. The recent surge in cyberattacks on NPOs underscores the urgent need for investment in cybersecurity readiness. The absence of robust safeguards and cybersecurity preparedness not only exposes NPOs to risks and vulnerabilities but also erodes trust and diminishes the value donors and volunteers place on them. Through this systematic literature review (SLR) mapping framework, the existing work on cyber threat assessment and mitigation is leveraged to make a framework and data collection plan to address the significant cybersecurity vulnerabilities faced by NPOs. The research aims to offer actionable guidance that NPOs can implement within their resource constraints to enhance their cybersecurity posture. This systematic literature review (SLR) adheres to PRISMA 2020 guidelines to examine the state of cybersecurity readiness in NPOs. The initial 4650 records were examined on 6 March 2025. We excluded studies that did not answer our research questions and did not discuss the cybersecurity readiness in NPOs. The quality of the selected studies was assessed on the basis of methodology, clarity, completeness, and transparency, resulting in the final number of 23 included studies. Further, 37 studies were added investigating papers that referenced relevant studies or that were referenced by the relevant studies. Results were synthesized through quantitative topic analysis and qualitative analysis to identify key themes and patterns. This study makes the following contributions: (i) identify and synthesize the top cybersecurity risks for NPOs, their service impacts, and mitigation methods; (ii) summarize affordable cybersecurity practices, with an emphasis on employee training and sector-specific knowledge gaps; (iii) analyze organizational and contextual factors (e.g., geography, budget, IT skills, cyber insurance, vendor dependencies) that shape cybersecurity readiness; and (iv) review and integrate existing assessment and resilience frameworks applicable to NPOs. Full article

Background: Although evidence-based practice is widely promoted in nursing, direct care nurses remain underrepresented in research activities. This study aimed to assess nurses’ attitudes toward research, their perceptions of the organizational research environment, and their levels of involvement, as well as identify key barriers and facilitators to engagement within a comprehensive healthcare system. This study also explored how racial and ethnic diversity within the nursing workforce may shape research engagement and contribute new perspectives to the field. Methods: A cross-sectional electronic survey was administered to registered nurses across 10 hospitals in a Northeast U.S. health system. The survey instrument assessed research attitudes, environment, involvement (past, present, future), and demographics. Descriptive and inferential statistics, including matched-pairs t-tests, were used to analyze responses. Results: Of 7655 invited nurses, 1094 responses were analyzed. Respondents were predominantly female (88.5%), White (56.8%), and employed full-time (87.1%) as clinical staff nurses (77.3%). While 54.8% had completed a formal research course (mainly within the past 1–3 years), informal research and statistics training were uncommon (17.4% and 5.4%, respectively). Nurses reported highly positive attitudes toward research (composite M = 2.15, SD = 0.51), especially its role in guiding practice, professional growth, and education. However, actual involvement was low. The most common current activities included practice change based on research (20.7%) and participation in committees (18.8%). Anticipated future engagement increased substantially, particularly in collaboration (+21.3%), committee participation (+20.6%), and IRB submission (+18.2%). The research environment was perceived as under-resourced, particularly in terms of protected time, funding, and mentorship. Statistically significant gaps were observed between perceived present and desired future supports (p < 0.01 for all 15 items). The Research Awareness Index revealed high rates of uncertainty about available resources (e.g., 66.1% did not know if internal funding existed). Conclusions: Nurses demonstrate strong positive attitudes and a desire to engage in research, including more advanced roles. Yet structural and informational barriers, particularly a lack of protected time, mentorship, and awareness of existing supports, limit participation. Investments in infrastructure, communication, and accessible development pathways are needed to translate nurses’ readiness into active research engagement. Implications: Institutions should prioritize making research support more visible and navigable while investing in mentorship, protected time, and user-friendly infrastructure. Addressing both facets will empower a highly motivated nursing workforce to engage in and lead practice-relevant research. Full article

This study presents a novel and interpretable, deployment-ready framework for predicting cybersecurity incidents through item-level behavioral, cognitive, and dispositional indicators. Based on survey data from 453 professionals across countries and sectors, we developed 72 logistic regression models across twelve self-reported incident outcomes—from account lockouts to full device compromise—within six analytically stratified layers (Education, IT, Hungary, UK, USA, and full sample). Drawing on five theoretically grounded domains—cybersecurity behavior, digital literacy, personality traits, risk rationalization, and work–life boundary blurring—our models preserve the full granularity of individual responses rather than relying on aggregated scores, offering rare transparency and interpretability for real-world applications. This approach reveals how stratified models, despite smaller sample sizes, often outperform general ones by capturing behavioral and contextual specificity. Moderately prevalent outcomes (e.g., suspicious logins, multiple mild incidents) yielded the most robust predictions, while rare-event models, though occasionally high in “Area Under the Receiver Operating Characteristic Curve” (AUC), suffered from overfitting under cross-validation. Beyond model construction, we introduce threshold calibration and fairness-aware integration of demographic variables, enabling ethically grounded deployment in diverse organizational contexts. By unifying theoretical depth, item-level precision, multilayer stratification, and operational guidance, this study establishes a scalable blueprint for human-centric cybersecurity. It bridges the gap between behavioral science and risk analytics, offering the tools and insights needed to detect, predict, and mitigate user-level threats in increasingly blurred digital environments. Full article

Background: The U.S. Medicare Annual Wellness Visit (AWV) offers a structured opportunity for cognitive screening and personalized prevention planning among older adults. Yet, implementation of AWVs, particularly for individuals with cognitive impairment, remains inconsistent across primary care or other diverse care settings. Methods: We conducted a scoping review using the Consolidated Framework for Implementation Research (CFIR) to explore multilevel factors influencing the implementation of the Medicare AWV’s cognitive screening component, with a focus on how these processes support the detection and management of cognitive impairment among older adults. We searched four databases and screened peer-reviewed studies published between 2011 and March 2025. Searches were conducted in Ovid MEDLINE, PubMed, EBSCOhost, and CINAHL databases. The initial search was completed on 3 January 2024 and updated monthly through 30 March 2025. All retrieved citations were imported into EndNote 21, where duplicates were removed. We screened titles and abstracts for relevance using the predefined inclusion criteria. Full-text articles were then reviewed and scored as either relevant (1) or not relevant (0). Discrepancies were resolved through consensus discussions. To assess the methodological quality of the included studies, we used the Joanna Briggs Institute critical appraisal tools appropriate to each study design. These tools evaluate rigor, trustworthiness, relevance, and risk of bias. We extracted the following data from each included study: Author(s), year, title, and journal; Study type and design; Data collection methods and setting; Sample size and population characteristics; Outcome measures; Intervention details (AWV delivery context); and Reported facilitators, barriers, and outcomes related to AWV implementation. The first two authors independently coded and synthesized all relevant data using a table created in Microsoft Excel. The CFIR guided our data analysis, thematizing our findings into facilitators and barriers across its five domains, viz: (1) Intervention Characteristics, (2) Outer Setting, (3) Inner Setting, (4) Characteristics of Individuals, and (5) Implementation Process. Results: Among 19 included studies, most used quantitative designs and secondary data. Our CFIR-based synthesis revealed that AWV implementation is shaped by interdependent factors across five domains. Key facilitators included AWV adaptability, Electronic Health Record (EHR) integration, team-based workflows, policy alignment (e.g., Accountable Care Organization participation), and provider confidence. Barriers included vague Centers for Medicare and Medicaid Services (CMS) guidance, limited reimbursement, staffing shortages, workflow misalignment, and provider discomfort with cognitive screening. Implementation strategies were often poorly defined or inconsistently applied. Conclusions: Effective AWV delivery for older adults with cognitive impairment requires more than sound policy and intervention design; it demands organizational readiness, structured implementation, and engaged providers. Tailored training, leadership support, and integrated infrastructure are essential. These insights are relevant not only for U.S. Medicare but also for global efforts to integrate dementia-sensitive care into primary health systems. Our study has a few limitations that should be acknowledged. First, our scoping review synthesized findings predominantly from quantitative studies, with only two mixed-method studies and no studies using strictly qualitative methodologies. Second, few studies disaggregated findings by race, ethnicity, or geography, reducing our ability to assess equity-related outcomes. Moreover, few studies provided sufficient detail on the specific cognitive screening instruments used or on the scope and delivery of educational materials for patients and caregivers, limiting generalizability and implementation insights. Third, grey literature and non-peer-reviewed sources were not included. Fourth, although CFIR provided a comprehensive analytic structure, some studies did not explicitly fit in with our implementation frameworks, which required subjective mapping of findings to CFIR domains and may have introduced classification bias. Additionally, although our review did not quantitatively stratify findings by year, we observed that studies from more recent years were more likely to emphasize implementation facilitators (e.g., use of templates, workflow integration), whereas earlier studies often highlighted systemic barriers such as time constraints and provider unfamiliarity with AWV components. Finally, while our review focused specifically on AWV implementation in the United States, we recognize the value of comparative analysis with international contexts. This work was supported by a grant from the National Institute on Aging, National Institutes of Health (Grant No. 1R01AG083102-01; PIs: Tzeng, Kuo, & Raji). Full article

Current learning and development approaches often struggle to capture dynamic individual capabilities, particularly the skills they acquire informally every day on the job. This dynamic creates a significant gap between what traditional models think people know and their actual performance, leading to an incomplete and often outdated understanding of how ready the workforce truly is, which can hinder organizational adaptability in rapidly evolving environments. This paper proposes a novel dynamic learner-state ecosystem—an AI-driven solution designed to bridge this gap. Our approach leverages specialized AI agents, orchestrated via the Model Context Protocol (MCP), to continuously track and evolve an individual’s multi-dimensional state (e.g., mastery, confidence, context, and decay). The seamless integration of in-workflow performance data will transform daily work activities into granular and actionable data points through AI-powered dynamic xAPI generation into Learning Record Stores (LRSs). This system enables continuous, authentic performance-based assessment, precise skill gap identification, and highly personalized interventions. The significance of this ecosystem lies in its ability to provide a real-time understanding of everyone’s capabilities, enabling more accurate workforce planning for the future and cultivating a workforce that is continuously learning and adapting. It ultimately helps to transform learning from a disconnected, occasional event into an integrated and responsive part of everyday work. Full article

Background/Objectives: In 2024, Lithuania developed a national lung cancer screening program (the Program), targeting individuals aged 50 to 70 years, regardless of their smoking history, with screenings conducted once every three years. The Program aims not only to actively detect lung nodules (lung cancer) but also to identify clinically significant concomitant findings. The pilot study aimed to evaluate the screening process’s feasibility and organizational efficiency of the screening process, as well as its potential clinical effectiveness. Methods: Three family medicine centers were selected for participation. The Coordinating Center contacted individuals aged 50 to 70 sequentially and invited them to participate, regardless of smoking status. In total, 1014 individuals were prospectively enrolled and underwent low-dose chest computed tomography (LDCT) screening between 26 September 2024 and 14 February 2025. Results: Of the individuals invited, 76.1% agreed to participate. Lung-RADS v2022 category 4 nodules were identified in 1.4% of participants (n = 14), including six smokers and eight non-smokers. Additionally, one participant with a Lung-RADS category 2 nodule was diagnosed with squamous cell carcinoma originating from peripheral lung changes. Newly identified significant incidental findings were detected in 25.9% of participants: 5.1% had pulmonary or mediastinal findings (most commonly emphysema, interstitial lung changes, and bronchiectasis), 18.7% had cardiovascular findings (usually coronary artery calcification, aortic valve calcification, and aorta dilation), and 2.1% had other clinically relevant conditions (e.g., thyroid nodules, diaphragmatic changes). Following assessment by family physicians, 17.6% of all participants were referred to medical specialists, including pulmonologists, cardiologists, and others. Conclusions: This pilot study demonstrated that the Lithuanian lung cancer screening model is feasible, well-organized, and clinically valuable. The findings support the Program’s readiness for broader implementation at the national level. Full article

Change management plays a key role in enhancing sustainable organizational performance in a dynamic global business environment. This study investigates the dimensions of change management (i.e., readiness of change, climate for change, and change processes) in boosting the sustainable performance of higher education institutions (HEIs) through knowledge management and transformational leaderships as mediators. This study employed an explanatory, quantitative, and cross-sectional approach for collecting data from the top management of private HEIs in Malaysia. Structural equation modeling using SmartPLS 4.0 is carried out for data analysis. We find that two dimensions of change management (i.e., climate for change and change processes) have a significantly positive impact on knowledge management, and only climate for change has a significantly positive relation with transformational leadership. The results highlighted that knowledge management mediate between climate for change and change processes and HEI sustainable performance. However, transformational leadership acts as a mediator between the climate for change and HEIs’ sustainable performance. No moderating effect of green teams was found between the mediators and HEI sustainable performance. The research findings have several implications for adopting the change management elements for the enhanced sustainable performance of HEIs and guiding the top management of HEIs, policymakers, and related governmental institutes. Full article

The rapid evolution of artificial intelligence (AI) has significantly transformed industries, positioning the fashion sector as a critical area of study due to its mass production and pressing sustainability challenges. As the world’s largest apparel producer, China faces unique hurdles in terms of integrating AI technologies, highlighting the intersection of technological innovation and sustainability within this industry. In this context, this study aims to provide the initial exploratory correlations between AI adoption and open innovation from apparel manufacturing micro-, small-, and medium-size enterprises (MSMEs) managers’ perspectives, identifying knowledge absorptive capacity (KACAP)’s significant impacts through an integrated and extended TAM-TOE model. We conducted PLS-SEM to empirically validate the antecedents of AI adoption and its consequential effects on KACAP and open innovation by collecting information from 269 of the apparel manufacturing MSMEs’ top managers. The results show that the TAM-TOE structural model explains 60.7% of the variance in AI adoption, 47.4% in KACAP, and 55.4% in open innovation, which suggests that the model has good explanatory capacity, and that all these Q² values indicate a sizeable predictive accuracy threshold. Drawing on the proposed model, the study has identified technological (e.g., perceived usefulness) and environmental factors (e.g., competitive pressure, market uncertainty, and government support and policy) that significantly impact AI adoption, while organizational factors (e.g., organizational readiness) directly impact KACAP, and environmental factors (e.g., competitive pressure, supplier involvement, and market uncertainty) directly impact open innovation. Subsequently, the AI construct is having a significant influence on MSMEs’ open innovation through KACAP. This fills existing theoretical gaps by linking AI technology to organizational innovation processes and demonstrates the mediating influence of KACAP. Also, the proposed model provides a foundation for future research by exploring the intersection of AI and innovation in similar industries. Full article

The widespread adoption of digital technologies across various aspects of society has led to the emergence of two highly context-dependent constructs that explain how businesses are getting ready for transformative digital processes: digital readiness and digital transformation (DT). However, assessing the extent to which an organization is ready to succeed in a DT initiative still requires further investigation. This research addresses this gap by working towards a practical definition and model of organizational digital transformation readiness (ODTR). The authors investigate how an organization’s readiness for digital transformation should be conceptualized, assessed, and improved through a systematic literature review. This literature review covered the years 2004 to 2021, as well as articles published until May 2022. The search was conducted in the Web of Science database, as well as in the most important publishers’ databases, resulting in 264 papers on “e-readiness”, 72 articles on “digital transformation”, and 8 articles on “digital transformation readiness”. Based on this, some dimensions emerged as the most prominent for understanding how companies prepare for transformative digital processes, namely technological resources, business processes, management capability, human capability, and corporate culture, which highlights the multidisciplinary nature of ODTR. Furthermore, the literature review showed the similarity between e-readiness and digital readiness, allowing the assessment of an organization’s maturity for digital transformation. The review synthesized the scientific literature on the readiness of organizations for digital transformation, allowing the proposition of an integrative framework to evaluate ODTR. Moreover, it allows the development of insights and recommendations for practices related to successful digital transformation initiatives. As this literature review has limitations related to its scope and search criteria, future studies can provide a broader investigation into how organizations respond to the challenge of DT and their respective readiness to do so in practice. Full article

This study examines the adoption and institutionalization of Green Human Resource Management (Green HRM) in Malaysian SMEs, focusing on the influence of Perceived Organizational Green Readiness (POG) and Perceived External Green Readiness (PEG) on the institutionalization of Green HRM (ING). Utilizing structural equation modeling from a sample of 425 respondents for Malaysian SMEs, the research reveals that POG and PEG significantly predict the Initial adoption of Green HRM (IAG), which mediates their impact on ING. This study also identifies a moderating role of corporate social responsibility (CSR) in the relationship between IAG and ING. Theoretical contributions extend stakeholder theory, the E-Commerce Adoption Model, the Organizational Readiness to Change (ORC) framework, and CSR theory to the Green HRM context. The findings provide practical insights for SMEs on aligning Green HRM with organizational strategies and external factors for effective institutionalization. This research contributes to the understanding of Green HRM processes, emphasizing the importance of initial adoption and the intricate role of CSR in sustainable business practices. Full article

The Fourth Industrial Revolution (IR4) and the COVID-19 pandemic have become triggers for micro, small, and medium enterprises (MSMEs) to conduct digital transformation even though there are many problems that need to be resolved, particularly those related to the readiness of MSMEs in facing digitalization. This study aims to investigate Indonesian MSMEs and identify problems and types of knowledge transfer activities. By involving 101 MSMEs selected using convenience sampling and collected through an online survey, the hypotheses testing shows that the perception of higher drivers for IR4 promoting IR4 readiness is supported, while the perception of higher barriers to IR4 decreasing IR4 readiness is not supported. The problems faced by MSMEs in Indonesia are related to financial, human resources, marketing, operational, administrative, and organizational management. To solve these problems and enhance the readiness for digitalization, knowledge transfer activities from universities to MSMEs are needed. This study provides a theoretical contribution to the strategic management literature to fill the lack of studies on MSMEs’ e-readiness in developing countries and a practical contribution to assist decision-makers in formulating strategies to support MSMEs in facing IR4 and solving internal problems through knowledge transfer activities. Full article