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Explore how the degree of humanization affects user misconduct, and provide effective misconduct prevention measures for the wide application of artificial intelligence in the future.

Based on the “Uncanny Valley theory”, three experiments were conducted to explore the relationship between the degree of humanization of service machines and user misbehavior, and to analyze the mediating role of cognitive resistance and the moderating role of social class.

There is a U-shaped relationship between the degree of humanization of service machines and user misbehavior; Social class not only regulates the main effect of anthropomorphism on misbehavior, but also regulates the intermediary effect of anthropomorphism on cognitive resistance, thus affecting misbehavior.

The design of the service robot can be from the user’s point of view, combined with the user’s social class, match different user types, and provide the same preferences as the user’s humanoid service robot.

This study is an important reference value for enterprises and governments to provide intelligent services in public places. It can prevent the robot from being vandalized and also provide users with a comfortable human-computer interaction experience, expanding the positive effects of providing smart services by government and enterprises.

This study avoids and reduces users' misbehavior towards intelligent service robots, improves users' satisfaction in using service robots, and avoids service robots being damaged, resulting in waste of government, enterprise and social resources.

From the perspective of product factors to identify the inducing factors of improper behavior, from the perspective of social class of users to analyze the moderating effect of humanization degree and user improper behavior.

Customer misbehavior has a negative impact on frontline employees. However, the underlying mechanisms from customer misbehavior to employees’ negative outcomes need to be further unfolded and examined. This study aims to propose that employees’ affective rumination and problem-solving pondering could be the explanatory processes of customer misbehavior influencing employee attitudes in which coworker support could be a moderator.

A mixed-method approach was designed to test this study’s predictions. Study 1 conducted a scenario-based experiment among 215 full-time hospitality employees, and Study 2 used a two-wave, longitudinal survey of 305 participants.

The results demonstrate the impact of customer misbehavior on work–family conflict and withdrawal behaviors. The mediating role of affective rumination is supported and coworker support moderates the processes.

Customer misbehavior leads to negative outcomes among frontline employees both at work and family domains. Hotel managers should help frontline employees to cope with customer misbehavior by avoiding negative affective spillover and providing support properly.

The studies have unfolded the processes of affective rumination and problem-solving pondering through which customer misbehavior influences work–family conflict and withdrawal behaviors among frontline employees. The surprising findings that coworker support magnified the negative effects have also been discussed.

Ad hoc mobile networks are commonplace in every aspect of our everyday life. They become essential in many industries and have uses in logistics, science and the military. However, because they operate mostly in open spaces, they are exposed to a variety of dangers. The purpose of this study is to introduce a novel method for detecting the MAC layer misbehavior.

The proposed novel approach is based on exponential smoothing for throughput prediction to address this MAC layer misbehavior. The real and expected throughput are processed using an exponential smoothing algorithm to identify this attack, and if these metrics exhibit a trending pattern, an alarm is then sent.

The effect of the IEEE 802.11 MAC layer misbehavior on throughput was examined using the NS-2 network simulator, as well as the approval of our novel strategy. The authors have found that a smoothing factor value that is near to 0 provides a very accurate throughput forecast that takes into consideration the recent history of the updated values of the real value. As for the smoothing factor values that are near to 1, they are used to identify MAC layer misbehavior.

According to the authors’ modest knowledge, this new scheme has not been proposed in the state of the art for the detection of greedy behavior in mobile ad hoc networks.

Once established, a strong reputation is not indestructible. To protect this intangible asset, the process of reputation damage needs to be explained. Drawing on the irresponsibility and crisis communication literature, this study seeks to better understand this process. Specifically, this study aims to show how moral anger and distrust mediate the relationship between the awareness of an irresponsible incident and organisational reputation.

This study examined the proposed conceptual model in the empirical context of retailers bending the law. A large survey (n = 991) on consumer responses to retailers’ misbehaviour was used to collect data. The hypotheses were tested using Hayes’ PROCESS macro.

The study revealed that the mere awareness of corporate misbehaviour is not enough to directly harm accumulated positive information about a firm. Discrete emotions of moral anger and distrust fully mediate the effects of knowledge about wrongdoing. The irresponsibility appraisal is a moderator of this process that substantially changes the impacts of misbehaviour on organisational reputation.

By demonstrating how moral anger and distrust mediate the effects of misbehaviour awareness and identifying a boundary condition, this study advances our understanding of how corporate wrongdoing affects organisational reputation.

This study aims to outline the role of causal attributions in consumer responses to irresponsible corporate behaviour. Specifically, this paper presents a moderated mediation model that explains how four types of perceived motives behind an irresponsible action shape corporate blame and word-of-mouth recommendations.

To test the hypotheses, the study uses data from a large survey assessing consumer reactions to a real case of corporate socially irresponsible behaviour in the banking industry.

The findings show that market-, unethicality- and rogue employee-driven attributions increase corporate blame and subsequently make people more likely to spread negative comments regarding the culprit. The difficult situation of a bank, as a perceived reason for wrongdoing, does not reduce the blame attributed to the irresponsible organisation.

The literature offers little information on the attributions people make following egregious corporate behaviour; however, such cognitions can play an important role in stakeholders’ reactions to wrongdoing. This study therefore extends the understanding of how irresponsibility attributions affect consumers’ responses to misbehaviour. Given the empirical context, the findings might be particularly important for communication and bank managers.

Customer-to-customer (C2C) interactions substantially affect the overall service experience. This study attempts to provide a better and deeper understanding of C2C interactions during the customer journey in the banking industry. The study aims to investigate the complexities of these interactions and to detect their outcomes and further implications in banking services.

This study used a sequential mixed-method approach. Firstly, semi-structured interviews were conducted to identify the components of C2C interactions during the customer journey. Subsequently, thematic analysis was performed to categorize the data and extract relevant components. Secondly, structural equation modeling was used to investigate the role of C2C interactions in behavioral outcomes.

The findings reveal that during the customer journey, C2C interactions plays a key role by providing information, managing queuing behavior, providing resources, and addressing issues related to other customers’ misbehavior. Additionally, C2C interactions have a positive direct effect on the customer experience, satisfaction, and loyalty. Customer experience, in turn, affects customer satisfaction and loyalty.

This study highlights the need for academic scholars to prioritize customers’ interaction during the customer journey in financial services, addressing a gap between industry directions and academic research in customer experience. Also, the findings help service providers develop effective strategies to enhance the customer experience by focusing on C2C interactions during the customer journey.

This study aims to investigate the impact of perceived subtle and overt discrimination on employees’ emotional exhaustion, along with potential mitigating factors such as social support, organizational inclusion and religiosity.

The research is based on a sample of 359 Muslim employees working in US restaurants. The data are analyzed using fuzzy-set Qualitative Comparative Techniques.

The results reveal that high/low emotional exhaustion in tourism and hospitality sector is triggered by multiple combinations of high/low levels of subtle and overt discrimination, family and friends support and religiosity. Such findings hold important implications to both theory and practice.

By using fuzzy-set Qualitative Comparative Analysis, this research stands out from studies on discrimination that use conventional statistical methods. It proposes several solutions leading to a single outcome (high/low emotional exhaustion). This new approach contributes to the advancement of theory in this context.

This study shows that there is no single best solution for high/low emotional exhaustion. Stated differently, multiple solutions provide several ways for firms to mitigate employees’ emotional exhaustion.

Religious discrimination in workplaces is increasing at an alarming rate, particularly in customer facing roles, such as the tourism and hospitality industry. This is having detrimental effects on employees from minority groups, often leading to excessive levels of emotional exhaustion. Nonetheless, the extant literature has somewhat understated the consequences of this issue, creating a void that needs to be fulfilled. This study addresses this gap.

The purpose of this paper is to systematically analyze the literature around regulatory compliance and market manipulation in capital markets through the use of bibliometrics and propose future research directions. Under the domain of capital markets, this theme is a niche area of research where greater academic investigations are required. Most of the research is fragmented and limited to a few conventional aspects only. To address this gap, this study engages in a large-scale systematic literature review approach to collect and analyze the research corpus in the post-2000 era.

The big data corpus comprising research articles has been extracted from the scientific Scopus database and analyzed using the VoSviewer application. The literature around the subject has been presented using bibliometrics to give useful insights on the most popular research work and articles, top contributing journals, authors, institutions and countries leading to identification of gaps and potential research areas.

Based on the review, this study concludes that, even in an era of global market integration and disruptive technological advancements, many important aspects of this subject remain significantly underexplored. Over the past two decades, research has lagged behind the evolution of capital market crime and market regulations. Finally, based on the findings, the study suggests important future research directions as well as a few research questions. This includes market manipulation, market regulations and new-age technologies, all of which could be very useful to researchers in this field and generate key inputs for stock market regulators.

The limitation of this research is that it is based on Scopus database so the possibility of omission of some literature cannot be completely ruled out. More advanced machine learning techniques could be applied to decode the finer aspects of the studies undertaken so far.

Increased integration among global markets, fast-paced technological disruptions and complexity of financial crimes in stock markets have put immense pressure on market regulators. As economies and equity markets evolve, good research investigations can aid in a better understanding of market manipulation and regulatory compliance. The proposed research directions will be very useful to researchers in this field as well as generate key inputs for stock market regulators to deal with market misbehavior.

This study has adopted a period-wise broad-based scientific approach to identify some of the most pertinent gaps in the subject and has proposed practical areas of study to strengthen the literature in the said field.

The purpose of this study is to provide evidence to support an emerging theory that interpersonal conflict is the primary cause of workplace stress among a self-selected sample of Irish construction managers.

Eighteen construction managers working in Ireland were recruited for this study. Using semi-structured interviews and interpretative phenomenological analysis as the research methodology, the causes of their workplace stress were investigated.

Participants reported that the principal cause of their workplace stress was high levels of interpersonal conflict between colleagues. The effects of this interpersonal conflict included avoidance behaviour, ill health, absences from the workplace and loss of productivity issues. Deadlines, penalty clauses, lack of appreciation, cliques, costs, communication, temporary contracts and delays were also reported stressors.

A limitation of the study is the small sample of 18 construction managers and the limited geographical area.

The social implications of this study could be to clearly identify that interpersonal conflict may be under reported in the construction industry, and there is a possibility that it is being misclassified as other workplace behaviours such as bullying, harassment and workplace violence. If this is so, this could aid future researchers in addressing this challenging workplace behaviour.

The current consensus in the literature is that the three main causes of workplace stress are bullying, harassment and violence. However, the role and importance of interpersonal conflict as reported in this study, with the exception of North America and China, is not reflected in the wider health and safety research literature. In addition, interpersonal conflict and its reluctance to be reported is largely absent from construction safety research. The findings of this study may be explained if the workplace stress research community is currently misclassifying interpersonal conflict as a manifestation of bullying, harassment or violence. If this is the case, interpersonal conflict needs further research. This is to establish if this cause of construction-related workplace stress needs to be reconsidered as a standalone phenomenon in the wider family of challenging workplace behaviours.

Tourism and hospitality employment have long faced widely recognised challenges with regard to employment, its workforce and the workplace environment, issues that have been addressed by generations of policymakers and practitioners without evident success or solution. These wicked problems are frequently characterised by inherent paradoxes and, therefore, accepting the tenets of paradox theory provides the basis for recognising the need to accept contradictions as a reality which a search for solutions will not resolve. This chapter presents six examples of wicked problems in tourism and hospitality employment, which are underpinned by paradoxes as proxies for the much wider range of intractable problems that beset policy-making and practice in this vital area of tourism and hospitality. The chapter concludes by suggesting ways in which wicked problems can be accommodated, and stakeholders can learn to understand and live with paradoxes.