Search Results (437)

Artificial intelligence (AI) is reshaping customer service, with AI-powered chatbots serving as a critical component in delivering continuous support across sales, marketing, and service domains, thereby enhancing operational efficiency. However, consumer engagement remains suboptimal, as many users favor human interaction due to concerns regarding chatbots’ ability to address complex issues and their perceived lack of empathy, which subsequently reduces satisfaction and sustainable usage. This study examines the determinants of user attitude and identifies factors influencing sustainable chatbot use. Utilizing survey data from 735 Chinese university students who have engaged with AI-powered chatbots, the analysis reveals that four key motivational categories: utilitarian (information acquisition), hedonic (enjoyment and time passing), technology (media appeal), and social (social presence and interaction) significantly influence user attitude toward chatbot services. Conversely, privacy invasion exerts a negative impact on user attitude, suggesting that while chatbots provide certain benefits, privacy issues can significantly undermine user satisfaction. Moreover, the findings suggest that user attitude serves as a pivotal determinant in fostering both user stickiness and sustainable usage of chatbot services. This study advances prior U&G-, TAM-, and ECM-based research by applying these frameworks to AI-powered chatbots in business communication, refining the U&G model with four specific motivations, integrating perceived privacy invasion to bridge gratification theory with risk perception, and directly linking user motivations to business outcomes such as attitude and stickiness. This study underscores that optimizing chatbot functionalities to enhance user gratification while mitigating privacy risks can substantially improve user satisfaction and stickiness, offering valuable implications for businesses aiming to enhance customer loyalty through AI-powered services. Full article

This study examines Chinese hotel employees’ understanding of customer relationship management (CRM) practices, with a focus on loyalty programme behaviour (LPB). Specifically, it investigates how three factors—loyalty programme (LP) awareness, LP knowledge, and LP concerns—shape employees’ intentions to implement loyalty programme practices (LPP) in the hospitality industry. A quantitative research design was adopted to test the proposed hypotheses. Data was collected through a self-administered survey of 893 Chinese hotel employees. To evaluate the proposed hypotheses, path analysis was performed using SPSS Statistics 24 and Mplus 7.4. The findings reveal that LP awareness and LP knowledge are both positively associated with employees’ intentions to implement loyalty programme practices, whereas LP concerns showed no significant effect. Moreover, employees’ intentions were positively linked to loyalty programme behaviour and served as a mediator between awareness, knowledge, and behavioural outcomes. Theoretical insights and practical applications are also addressed. Full article

Burial location and concepts of belonging are deeply interconnected. This article explores the biblical narrative of Jacob’s death and burial in the final chapters of the book of Genesis, with a focus on this relationship. The analysis engages in dialogue with Osman Balkan’s recent research on Turkish Muslims in Europe, examining factors influencing burial decisions, including the choice between repatriation to countries of origin and local burial. Key themes relevant to the biblical narrative include tensions with the host society, its authorities, and customs, the complex interplay of factors in end-of-life decisions, and the role of burial location as a means of anchoring future generations. In particular, the concept of the dead as an ‘anchor’ provides a useful framework for understanding the contrasting burial wishes of Jacob and his son Joseph. Additionally, considering Joseph as an undertaker adds nuance to his struggle to balance loyalty to local Egyptian customs with his father’s request to be buried among his ancestors in Canaan. Full article

This study explores how AI chatbot experiences on travel websites influence consumer engagement, with satisfaction from using AI chatbots as a mediating factor. Grounded in the Stimulus-Organism-Response (S-O-R) framework, the research shifts the focus from utilitarian models to examine how chatbot attributes—e.g., ease of use, information quality, security, anthropomorphism, and omnipresence—affect satisfaction of using AI chatbots and subsequent consumer engagement behaviours. Survey data from 519 Portuguese travellers were analysed using partial least squares structural equation modelling (PLS-SEM). The study contributes to theory by (1) demonstrating S-O-R’s advantages over utilitarian models in capturing relational and emotional dimensions of AI interactions, (2) identifying satisfaction with using AI chatbots as a pivotal mediator between AI chatbot experience and consumer engagement, and (3) revealing generational disparities in drivers of engagement. Notably, satisfaction strongly influences engagement for Generation X, while direct experience matters more for Generation Z. Millennials exhibit a distinct preference for hybrid human–AI service handoffs. The practical implications include prioritizing natural language processing for ease of use, implementing generational customization (e.g., gamification for Gen Z, reliability assurances for Gen X), and ensuring seamless human escalation for Millennials. These insights equip travel businesses to design AI chatbots that foster long-term loyalty and competitive differentiation. Full article

Customers’ repurchase intention is a key driver of sustained profitability for companies. However, the influencing factors of customers’ repurchase intention and their direct mechanisms of action are not yet clear. This study empirically examines the relationships among intrinsic quality, perceptual quality, brand equity, customer satisfaction, online word-of-mouth, and customers’ repurchase intention using a structural equation model. A customer repurchase intention model is constructed with customer satisfaction as the mediating variable and online word-of-mouth as the moderating variable. The empirical results show that intrinsic quality, perceptual quality, and brand equity have a significant impact on customer satisfaction. Notably, intrinsic quality exerts an indirect effect on customers’ repurchase intention primarily through customer satisfaction, with no significant direct impact, while perceptual quality and brand equity have significant direct effects on repurchase intention. Customer satisfaction plays a partial mediating role between intrinsic quality, perceptual quality, brand equity, and repurchase intention. Online word-of-mouth has a significant moderating effect on the relationship between customer satisfaction and customers’ repurchase intention. These findings provide actionable insights for smartphone enterprises to optimize product development, brand management, and online reputation strategies, thereby enhancing customer loyalty and market competitiveness. Full article

Sustainability has become a key focus in the hospitality industry, with travelers increasingly seeking accommodations with strong environmental commitments. As part of this trend, many hotels are adopting green marketing strategies to improve their brand image and appeal to eco-conscious consumers. However, the challenge lies in ensuring that these strategies are perceived as genuine rather than as “greenwashing,” which undermines their effectiveness and harms the brand’s credibility. This study examines the impact of green marketing strategies on the brand image of 5-star hotels in Lima, Peru. A survey of 206 hotel clients reveals that the implementation of green marketing positively influences the perceived benefits, corporate image, trust, and loyalty associated with these establishments. The results highlight that younger generations, particularly Millennials and Generation Z, are more likely to value sustainability initiatives, making them an important target for hotels seeking to enhance their brand image through eco-friendly practices. The findings suggest that effective communication of sustainable practices and transparency are essential to avoid greenwashing and build customer loyalty. This research contributes to the limited knowledge on green marketing in the Peruvian hotel sector and provides insights for both hotel managers and researchers on the importance of integrating genuine sustainability efforts into their marketing strategies. Full article

This research proposes an adaptation of the quality–loyalty model in which affective commitment is integrated as a key factor in the proposed framework. The study presented a comprehensive framework encompassing 11 hypotheses formulated from an extensive literature review. Empirical data collected from 679 environmentally conscious consumers predominantly residing in Vietnam’s three principal urban centers were employed to evaluate these hypotheses. The assessment was executed utilizing the partial least squares structural equation modeling technique. The results of this research authenticate the appropriateness of the integrated model in studying green consumption, verify the critical role of affective commitment in the newly introduced model, and identify the high impact of affective commitment on green loyalty intention and green purchase behavior. This research also shows that other factors of the quality–loyalty model have significant influences on affective commitment and green loyalty intention. Moreover, this study signifies the crucial role of green perceived quality in fostering affective commitment and green loyalty intention. Green perceived quality was identified as a key factor influencing green loyalty intention and played a crucial role in encouraging customers to purchase environmentally friendly products. Full article

This study dives into what drives people to use AR filters in the catering industry, focusing on the Hong Kong market. The main idea is to determine how “perceived value” shapes users’ intentions to engage with these filters. To do this, the research combines concepts from two popular models—the extended Technology Acceptance Model (TAM) and the Satisfaction–Loyalty Model (SLM)—to understand what influences perceived value. The survey data were then analyzed with Structural Equation Modeling (SEM) to see how perceived usefulness, enjoyment, satisfaction, and value connect to users’ intentions. The results showed that “perceived value” is a big deal—the main factor driving whether people want to use AR filters. Things like how useful or enjoyable the filters are and how satisfied users feel all play a role in shaping this perceived value. These findings are gold for marketing teams and AR developers, especially in the catering world. Combining TAM and the Satisfaction–Loyalty Model offers a fresh perspective on how AR technology influences consumer behavior. On top of that, it gives practical advice for businesses looking to make the most of AR filters in their marketing and customer experience strategies. Full article

This study explores the relationship between customer satisfaction and loyalty in mobile banking, emphasizing the moderating role of Technology Readiness. As mobile banking becomes increasingly central to financial service delivery, understanding the nuanced drivers of customer loyalty is essential for strategic growth. Drawing from the Technology Readiness Index, this study examines how four dimensions, optimism, innovativeness, discomfort, and insecurity, moderate the satisfaction–loyalty linkage. Data were collected via a structured survey from 258 mobile banking users in the United States, analyzed using partial least squares structural equation modeling (PLS-SEM). Results show that optimism and innovativeness positively moderate this relationship, while discomfort and insecurity act as negative moderators. Practically, this research introduces a segmented approach to mobile banking service design, underscoring the need for differentiated strategies that address varying levels of user readiness. Theoretically, this study addresses a gap in mobile banking literature by shifting the focus from adoption to sustained usage and satisfaction-based loyalty, enriching the discourse on customer behavior in digital finance. Full article

This study investigates the critical determinants of customer retention in casual dining restaurants within the context of the post-pandemic “new normal.” Anchored in service quality and consumer behavior theories, the research examines the influences of food quality, health measures, perceived price, brand image, ambiance, and location on customer decision making. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), data from 336 respondents in the National Capital Region, Philippines were analyzed to assess the relationships among these variables and their effects on restaurant selection and customer retention. The results reveal that food quality (β = 0.698, p < 0.05) exerts the strongest influence on restaurant selection, followed by health measures (β = 0.477, p = 0.001), perceived price (β = 0.378, p < 0.02), and brand image (β = 0.341, p < 0.035). Furthermore, health measures (β = 0.436, p = 0.002) and restaurant selection (β = 0.475, p < 0.05) significantly enhance customer retention, while ambiance and location were not found to be significant predictors. These findings offer theoretical contributions to the service quality and consumer trust literature and provide practical and policy-relevant insights for food establishments adapting to health-driven consumer expectations. The study highlights the need for the strategic integration of safety protocols, pricing value, and brand positioning to foster long-term loyalty and resilience in the evolving food service market. Full article

Sociodemographic aspects influence consumer perception in a food hall. This study evaluates the attributes that determine the gastronomic experience and examines how sociodemographic aspects (age, education level, income, consumption) affect the perception of restaurant attributes, satisfaction, and loyalty. Using a valid sample of 420 participants, exploratory factor analysis and multiple regression were applied. The results show that education level and income significantly affect satisfaction (β = −0.173; p = 0.006 and β = 0.195; p = 0.015, respectively) and loyalty dimensions, including revisit intention (β = −0.179; p = 0.004 and β = 0.269; p = 0.001), recommendation (β = −0.171; p = 0.005 and β = 0.295; p = 0.001), and intention to say positive things (β = −0.120; p = 0.051 and β = 0.215; p = 0.006). Unlike prior studies focused on traditional restaurants, this research offers new empirical evidence within food halls as hybrid gastronomic spaces. The findings provide practical insights for food hall managers and urban tourism developers by emphasizing the importance of segmenting marketing strategies according to education, income, and visit frequency to enhance customer satisfaction, loyalty, and destination attractiveness. Full article

Virtual interactivity in marketing has evolved significantly in recent decades, becoming an essential tool for effectively connecting with consumers in digital environments. Through interactive digital platforms, brands can generate a two-way dialogue with their customers, allowing them to obtain instant feedback and adapt their strategies quickly and effectively. This not only improves but also contributes to strengthening brand love and fostering long-term loyalty. In this context, this research aimed to analyze the effect of virtual interactivity on customer loyalty and WOM through multiple sequential mediation paths, considering the elements of relationship marketing and examining the cognitive (trust–commitment), communicational (communication–conflict management), and experiential (brand love–WOM) mechanisms that operate in digital consumer–brand interactions. A cross-sectional and explanatory study was conducted, considering 417 frequent customers of brands who also follow brands on social media. Participants included women (60.7%) and men (39.3%), ranging in age from 19 to 52 years (M = 30.9 and SD = 6.0). Data were collected using a self-report form on virtual interactivity, relationship marketing, WOW, customer loyalty, and brand love, yielding an appropriate measurement model (α = between 0.791 and 0.908; CR = between 0.791 and 0.916; AVE = between 0.679 and 0.845) which was statistically analyzed using PLS-SEM. The hypotheses confirmed the proposed model, observing the effect of virtual interactivity on important brand factors. This research provides valid results linked to the digital world in banking contexts. Full article

Purpose—This research paper examines the critical factors in customer satisfaction while purchasing fruits and vegetables at farmers’ markets. Design/methodology/approach—This study was conducted using a prepared questionnaire to collect data on a random sample of 235 customers of farmers’ markets in the state of Maharashtra, India. The research was carried out in the year 2023. Seven hypotheses were tested concerning the relationships between the variables of interest. The variables of convenience, variety, quality, price, health and hygiene, and service conditions were used as independent constructs and were proxied by reflective indicators. Customer satisfaction and customer loyalty were treated as an exogenous variable and an endogenous variable, respectively. Structural equation modeling was used to investigate the model relationships and confirm the theoretical model. Findings—The findings validate all the reflective indicators used in the study. The latent variables of convenience, variety, quality, price, health and hygiene, and service conditions positively and significantly affect customer satisfaction, and customer satisfaction positively and significantly affects customer loyalty toward farmers’ markets. The structural equation explains approximately 55% of the variation in customer satisfaction related to convenience, variety, price, quality, health and hygiene, and service conditions. Significance—The study results provide insights into the factors that influence consumer behavior and attitudes toward farmers’ markets. By identifying these predictors, this study can help farmers’ markets and other stakeholders develop effective marketing strategies to attract and retain customers, ultimately promoting sustainable food production and consumption. Additionally, the results can inform policymakers on how to support and promote farmers’ markets as healthy and sustainable food sources. Practical implication—By implementing the practical suggestions derived from the implications of this research, farmers’ markets can optimize customer satisfaction, boost customer loyalty, and reinforce their position as valuable contributors to local communities’ well-being and sustainability. Originality/value—The acceptance of farmers’ markets in India as an alternative shopping destination for fruits and vegetables is gradually increasing. This exploratory study conducted on farmers’ markets examined several factors, including price, in assessing customer satisfaction and farmers’ markets’ effectiveness at positioning themselves as shopping destinations for consumers in India. Full article

This study highlights the importance of managing and analyzing customer reviews to gain a competitive advantage and improve customer experience in the hospitality industry. In this context, a deep learning-based sentiment analysis system of hotel customer reviews is developed to evaluate service quality within the scope of sustainable tourism. The study analyzed 15,522 customer reviews of five-star hotels in Antalya using text mining, topic modelling, and deep learning-based sentiment analysis. The reviews were classified as positive, negative, or neutral. The findings show that Hotel HB2 has the highest performance, with an F1 score of 97.9%. Overall customer satisfaction is 91%, while emotional satisfaction stands at 77%. Key factors, such as cleanliness, food quality, and staff professionalism, were found to play a critical role in customer loyalty. Additionally, this study integrates sustainability-orientated themes by identifying customer feedback related to environmentally friendly practices and sustainable hotel operations. The results provide evidence that customer satisfaction is not only influenced by service quality but also by the perceived environmental and social responsibility of the hotel. Machine learning techniques have emerged as effective tools for analyzing large-scale customer reviews, offering valuable insights to rapidly and accurately capture customers’ emotions, expectations, and perceptions. As a comprehensive application of sentiment analysis and text mining, this research offers hotel managers a practical framework to enhance service quality, foster customer loyalty, and develop sustainability-orientated strategies. This study contributes to the literature by linking AI-driven sentiment analysis with sustainability practices in the tourism sector. Full article

This study explores the link between brand image and Net Promoter Score (NPS) in Iceland’s banking sector using data from three survey waves (2021, 2023, and 2025). While NPS is widely used to track customer loyalty, its relationship with brand image, especially in financial services, remains unclear. Drawing on repeated cross-sectional data (n = 1504), we examine how trust, corporate social responsibility, customer satisfaction, and perceived corruption relate to NPS across three major banks. Results show a consistently strong positive correlation (r > 0.5), with Arion Bank customers showing the highest association (r = 0.68). This suggests that customers with a positive image of the bank are far more likely to recommend it. The findings offer both theoretical and practical value: they reinforce the role of brand image in driving customer advocacy and support a more contextualized use of NPS in brand strategy and customer experience management. Full article