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This study aims to investigate the influential factors driving customer-oriented constructive deviance (COCD) within the context of the tourism and hospitality industry. Specifically, the authors explore the role of moral emotions as mediators and moral disengagement as a moderator.

In Study 1, the participant pool consisted of 259 frontline service employees hailing from a diverse selection of 54 four- and five-star hotels. Study 2 took an alternative approach, using a scenario-based experiment with 212 participants.

The results reported that organizational injustice toward customers is positively related to other-condemning emotions and leads to COCD. The results also reported that perceived customer citizenship behavior (CCB) positively relates to other-praising emotions, resulting in constructive deviance from customer-oriented. Moreover, these findings support moral emotions and moral disengagement interactions.

This paper shows that an organization’s injustice of external parties, such as customers, may provide important information that employees use to shape their moral emotions (e.g. other condemning emotions) and behavior toward the organization (e.g. COCD). Furthermore, this study confirms that perceived customer citizenship behavior contributes to COCD through other-praising emotions.

Consumers frequently use electronic payments (e-payment) as their first step into formal financial services. The advancement of information and communication technology, on the other hand, has resulted in several achievements for human civilization, altering people’s lives, behaviors and societal measures. This study’s main aim is to investigate issues and identify the factors that are likely to influence customers’ acceptance of implementing e-payment in the Kingdom of Bahrain.

A quantitative research approach was adopted to test the influence of e-payment data security, trust, ease of use, usefulness and accessibility on customers’ acceptance of the service. A questionnaire survey was electronically administered to a purposive sample, and 531 responses were returned, achieving the required sample size for the study. Descriptive statistics analysis was used to ascertain data validity and consistency, and regression analysis was used to test the model’s hypotheses.

The findings of this study demonstrated a high influence of the mentioned factors on the e-payment acceptance of the customers in the Kingdom of Bahrain. The main recommendations are to increase the adoption of e-payment; focus highly on the security factor in e-payment adoption; create a trustworthy e-payment service; strive to make the e-payment services more user-friendly; increase the longevity of the e-payment services by focusing on usefulness; and make e-payment services more accessible.

This study’s potential contribution is to identify the factors that influence e-payment acceptance by customers in Bahrain and draw attention to issues to be considered in adopting new e-payment services.

This paper aims to explore the determinants causing fake information proliferation on social media platforms and the challenges to control the diffusion of fake news phenomena.

The authors applied the systematic review methodology to conduct a synthetic analysis of 37 articles published in peer-reviewed journals retrieved from 13 scholarly databases.

The findings of the study displayed that dissatisfaction, behavior modifications, trending practices to viral fake stories, natural inclination toward negativity and political purposes were the key determinants that led individuals to believe in fake news shared on digital media. The study also identified challenges being faced by people to control the spread of fake news on social networking websites. Key challenges included individual autonomy, the fast-paced social media ecosystem, fake accounts on social media, cutting-edge technologies, disparities and lack of media literacy.

The study has theoretical contributions through valuable addition to the body of existing literature and practical implications for policymakers to construct such policies that might prove successful antidote to stop the fake news cancer spreading everywhere via digital media. The study has also offered a framework to stop the diffusion of fake news.

This study aims to examine the constructs of job satisfaction and organizational commitment (OC) as the determinants of customer-perceived service quality in higher education context. It also explores the role of OC in mediating the dynamics of the relationship.

It applied the cross-sectional, ex post facto survey method to acquire data from 1,776 respondents at Aden University. Two sets of questionnaires on job satisfaction, OC and perceived service quality were filled out by 296 academic staff and 1,480 students. Data were analyzed using structural equation modeling.

The results showed that job satisfaction exercised a significant positive effect on OC and students’ perception of service quality (i.e. the quality of lectures delivered in class that shaped their learning experiences). OC also significantly affected students’ perception of service quality and partially mediated the effect of job satisfaction on perceived service quality.

The current research only investigated the outcomes of job satisfaction and did not cover critical antecedents of job satisfaction, such as employee training and development, rewards and benefits and the like. Its outcomes have important implications for managing the link between organizational practices and customers perception of service quality in higher education context.

The results have accentuated the importance of universities’ ensuring and increasing faculty’s job satisfaction and commitment if they seek to enhance students’ perception of service quality. Universities can do so by improving their organizational practices, which are expected to result in faculty well-being and improved working conditions.

The results have contributed new insights into the current understanding of the dynamics between and among job satisfaction, OC and customers’ perceptions of service quality. It has demonstrated how OC is shaped by job satisfaction and can influence the quality of services rendered by employees if they are happy and satisfied with the organization.

The purpose of this study is to examine how employees’ deference to leader authority may induce their unethical pro-organizational behavior (UPB) and whether this translation is more likely to materialize in the presence of two personal factors (dispositional greed and proactive personality) and two organizational factors (workplace status and job rotation).

The empirical assessment of the research hypotheses relies on quantitative survey data collected among 350 Canadian-based employees who work in the healthcare sector. The statistical analyses include hierarchical moderated regression.

The role of deference to leader authority in stimulating UPB is greater when employees (1) have a natural disposition to always want more, (2) enjoy initiative taking, (3) believe that they have a great deal of prestige in the organization and (4) operate in an organizational environment in which job rotation across different departments is encouraged.

The results inform managers about the risk that employees’ willingness to obey organizational authorities unconditionally might escalate into negative behaviors that can cause harm to both the organization and employees in the long run, as well as the personal and organizational circumstances in which this escalation is more likely to occur.

This study extends extant research by investigating the conditional effects of an unexplored determinant of UPB, namely, a personal desire to defer to organizational leaders.

Drawing on the theory of planned behavior, this study aims to conduct an empirical investigation on whether and how psychological and motivational factors (i.e. attitudes, subjective norms and perceived behavioral control) affect actual purchase behavior. It does so through the lens of boycott intention and gender differences in the context of boycott campaigns.

Focusing on the South Korean boycott campaign against Japanese companies, this study employs a structural equation model using survey data from 571 South Korean consumers to test the hypotheses.

While the three psychological and motivational factors inhibit all three dimensions of actual purchase behavior (i.e. purchase frequency, number of items purchased and purchase amount) through increased boycott intention, perceived behavioral control of boycotts directly curb South Korean consumers from purchasing Japanese products. Additionally, the effect of boycott intention on overall actual purchase behavior is stronger for men than for women, suggesting a moderating role of gender.

To mitigate the devastating impact of unexpected consumers' boycott campaigns, this study advises that global brand management and attractive online channels are essential while considering the differential impact of gender.

By conceptualizing three dimensions of actual purchase behavior capturing behavioral changes before and after a boycott, this study highlights the linkages between psychological and motivational factors, intentions and behaviors. Additionally, this study attempts to clarify the previously conflicting evidence on gender's role in boycott campaigns while taking a culture-inclusive psychologies approach to gender.

The purpose of this study is to identify the relationship between artificial intelligence (AI) and fake news detection. It also intended to explore the negative effects of fake news on society and to find out trending techniques for fake news detection.

“Preferred Reporting Items for the Systematic Review and Meta-Analysis” were applied as a research methodology for conducting the study. Twenty-five peer-reviewed, most relevant core studies were included to carry out a systematic literature review.

Findings illustrated that AI has a strong positive relationship with the detection of fake news. The study displayed that fake news caused emotional problems, threats to important institutions of the state and a bad impact on culture. Results of the study also revealed that big data analytics, fact-checking websites, automatic detection tools and digital literacy proved fruitful in identifying fake news.

The study offers theoretical implications for the researchers to further explore the area of AI in relation to fake news detection. It also provides managerial implications for educationists, IT experts and policymakers. This study is an important benchmark to control the generation and dissemination of fake news on social media platforms.

This study aims to investigate tourists’ attitudes and intentions regarding the usage of Chat Generative Pre-trained Transformer (ChatGPT) for accessing tourism information. Furthermore, by integrating the perceived risks associated with ChatGPT and the theory of planned behavior (TPB), this research examines the impact of three types of perceived risks, such as privacy risk, accuracy risk and overreliance risk, on tourists’ behavioral intention.

Data were gathered for this study by using two online survey platforms, thus resulting in a sample of 536 respondents. The online survey questionnaire assessed tourists’ perceived risks, attitude, subjective norm, perceived behavioral control, behavioral intention and demographic information related to their usage of ChatGPT.

The structural equation modeling analysis revealed that tourists express concerns about the associated risks of using ChatGPT to search for tourism information, specifically privacy risk, accuracy risk and overreliance risk. It was found that perceived risks significantly influence tourists’ attitude and intention toward the usage of ChatGPT, which is consistent with the hypotheses proposed in previous literature regarding tourists’ perceived risks of ChatGPT.

This work is a preliminary empirical study that assesses tourists’ behavioral intention toward the use of ChatGPT in the field of tourism. Previous research has remained at the hypothetical level, speculating about the impact of ChatGPT on the tourism industry. This study investigates the behavioral intention of tourists who have used ChatGPT to search for travel information. Furthermore, this study provides evidence based on the outcome of this research and offers theoretical foundations for the sustainable development of generative AI in the tourism domain. This study has limitations in that it primarily focused on exploring the risks associated with ChatGPT and did not extensively investigate its range of benefits.

First, to address privacy concerns that pose significant challenges for chatbots various measures, such as data encryption, secure storage and obtaining user consent, are crucial. Second, despite concerns and uncertainties, the introduction of ChatGPT holds promising prospects for the tourism industry. By offering personalized recommendations and enhancing operational efficiency, ChatGPT has the potential to revolutionize travel experiences. Finally, recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises.

Recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises. As their interest in adopting ChatGPT grows, increased investments and resources will be dedicated to developing and implementing ChatGPT solutions. This enhancement may involve creating customized ChatGPT solutions and actively engaging in training and development programs to empower employees in effectively using ChatGPT’s capabilities. Such initiatives can contribute to improved customer service and overall operations within the tourism industry.

This study integrates TPB with perceived risks in ChatGPT, thus providing empirical evidence. It highlights the importance of considering perceived risks in tourists’ intentions and contributes to the sustainable development of generative AI in tourism. As such, it provides valuable insights for practitioners and policymakers.

本研究旨在调查游客对使用ChatGPT获取旅游信息的态度和意向。此外, 通过将与ChatGPT相关的感知风险与计划行为理论（TPB）相结合, 本研究探讨了三种感知风险（隐私风险、准确性风险和过度依赖风险）对游客行为意向的影响。

本研究通过两个在线调查平台收集了536名受访者的数据。在线调查问卷评估了游客对ChatGPT使用的感知风险、态度、主观规范、感知行为控制、行为意向以及与其使用ChatGPT相关的人口统计信息。

结构方程建模分析显示, 游客对使用ChatGPT搜索旅游信息的相关风险表示关切, 特别是隐私风险、准确性风险和过度依赖风险。发现感知风险显著影响游客对使用ChatGPT的态度和意向, 与先前有关游客对ChatGPT感知风险的文献中提出的假设一致。

本研究将TPB与ChatGPT中的感知风险相结合, 提供了实证证据。它强调了在考虑游客意向时考虑感知风险的重要性, 并为旅游中生成AI的可持续发展提供了贡献。因此, 它为从业者和政策制定者提供了宝贵的见解。

This study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI) and corporate sustainable development (CSD) in diverse Pakistani organizations.

This study employs a comprehensive research methodology involving advanced statistical techniques, such as confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. These methods are instrumental in exploring the complex interrelationships between SKM, GI, moderating factors and CSD.

This research generates significant findings and actively contributes to sustainable development. The following sections (Sections 4 and 5) delve into the specific findings and in-depth discussions, shedding light on how industry regulation, organizational sustainability priorities, workplace culture collaboration and alignment between green culture and knowledge management practices influence the relationships between SKM, GI and CSD. These findings provide valuable insights for the research community and organizations striving for sustainability.

The study’s findings have practical implications for organizations seeking to enhance their sustainability efforts and embrace a socially and environmentally conscious approach to organizational growth.

This study contributes to the literature on sustainable practices and organizational development. Researchers and business people can learn a lot from it because it uses advanced econometric models in new ways and focuses on the link between knowledge management, GI and sustainable corporate development.

Spoken service language is critical for service experiences and human welfare in many service settings. However, little is known about how spoken service language can enhance customer well-being in transformative service contexts. This paper explores spoken service language and well-being for customers experiencing vulnerability in a transformative service context, informed by an empirical account of the human welfare service of residential aged care.

Situated within transformative service research (TSR), this study was guided by a theoretical framework of service language and adopts a strengths-based approach to customer experiences of vulnerability. A qualitative multiple case study methodology was applied to explore carers’ perspectives on spoken service language and well-being from three residential aged care homes in Australia.

The findings demonstrate five spoken service language practices and four principles of spoken service language for well-being that co-create customer well-being and support the alleviation of customer experiences of vulnerability. Conceptualised as transformative spoken service language, the spoken service language practices and principles collectively recognise, support and leverage residents’ capabilities and uplift customer well-being, by enacting a process of mattering highly salient to transformative service contexts.

This study is the first to conceptualise how employee spoken service language can be used to support customer well-being and enhance transformative value for customers experiencing vulnerability to align with the goals of TSR. Practically, the study advocates for a greater awareness and more considered use of transformative spoken service language in human welfare and other transformative service contexts.