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This study aims to assess the direct impact of workplace hazing and the indirect impact via moral disengagement on organizational deviance behavior and negative word-of-mouth (WOM) communication in the hospitality industry of Pakistan. This research also addresses the significance of psychological (resilience) and social factors (friendship prevalence) as moderators of the relationship between workplace hazing and moral disengagement.

Using a multirespondent strategy, the data was collected from 319 newcomers employed in the Pakistani hospitality industry and analyzed using structural equation modeling.

The results reveal that workplace hazing increases moral disengagement, organizational deviance and negative WOM communication. Moreover, various psychological factors can significantly decrease and mediate the negative influence of workplace hazing on moral disengagement.

The managers should explicitly and formally handle the workplace hazing issues like harassment and bullying to build a positive working environment for newcomers.

This study addresses a gap in determining the significance of workplace hazing and its impact on moral disengagement, organizational deviance and negative WOM communication. Also, this study contributes to the literature by examining either social or psychological factors that play an important role in dampening the negative impact of workplace hazing.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

Researchers have paid little attention to elucidating how customer-perceived innovative apparel attributes are linked to brand reputation and consumer buying behaviors. This study intends to bridge that gap by providing empirical evidence on the effects of product novelty, product difference and product inimitability on brand reputation and behavioral intentions in the context of garment purchasing. We also investigate the moderating effects of self-congruity and value consciousness on the attribute‒brand reputation linkages, as well as their immediate influence on the domain variables.

The proposed model was estimated using data from a web-based survey of 299 female apparel customers. Structural equation modeling was employed to test the relationships between variables.

The results indicate that product novelty, product inimitability, self-congruity and value consciousness significantly influence brand reputation. The results also demonstrate that self-congruity, value consciousness and brand reputation have direct effects on behavioral intention, while self-congruity and value consciousness appear to moderate the relationship between innovative product attributes and brand reputation.

This study is the first to present a conceptual model that systematically encompasses product innovation, brand perceptions and behavioral links in the field of women's clothing. The findings have important implications for both academics and practitioners in the field of fashion marketing.

This study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.

A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.

The results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.

The primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.

Understanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.

The study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.

This research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.

This study aims to focus on how smartphone addiction impacts young consumer behavior related to mobile technology (i.e. the compulsive app downloading tendency). After a thorough literature review and following the risk and protective factors framework, this study explores factors that could mitigate its effects (resilience, family harmony, perceived social support and social capital).

The study used the covariance-based structural equation modeling approach to analyze data collected from 275 Generation Z (Gen Z) smartphone users in Spain.

Results suggest that resilience is a critical factor in preventing smartphone addiction, and smartphone addiction boosts the compulsive app downloading tendency, a relevant downside for younger Gen Z consumers.

Through the lens of the risk and protective factors framework, this study focuses on protective factors to prevent smartphone addiction and its negative side effects on app consumption. It also offers evidence of younger consumers’ vulnerability to smartphone addiction, not because of the device itself but because of app-consumption-related behaviors.

The objective of this research is to explore the relationship between person-organization fit and employee well-being in the context of uncertainty across three Central European countries: Lithuania, Slovakia and Hungary.

This study employed a survey-based approach to gather primary data from Lithuania, Slovakia and Hungary, resulting in a total of 1,140 respondents. The survey utilized a structured questionnaire designed with a five-point Likert scale. The questionnaire consisted of three main sections: person-organization fit, employee well-being and demographic information. Person-organization fit was assessed through a 3-item scale, while employee well-being was evaluated using an 18-item scale that included 3 dimensions: life well-being, workplace well-being and psychological well-being. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the survey data.

The findings of the study reveal significant positive relationships between person-organization fit and three dimensions of employee well-being – life well-being, workplace well-being and psychological well-being – in three Central European countries: Lithuania, Slovakia and Hungary. Notably, there were discernible differences between Hungary and Lithuania, as well as between Slovakia and Lithuania. Conversely, no significant distinctions were observed between Hungary and Slovakia in relation to these variables.

This research has the potential to shed light on how the alignment between individual values and organizational values impacts employee well-being, particularly within the context of volatile periods such as the COVID-19 pandemic. This understanding can guide organizations in fostering a work environment that supports employees. Furthermore, the results of this study create the prospect of providing actionable guidance to organizations aiming to strengthen their approaches for enhancing employee well-being across dimensions such as life well-being, workplace well-being and psychological well-being.

Through a theoretical lens of psychological ownership, this study aims to investigate how technology mindfulness may stimulate metaverse tourism users’ feelings of individual psychological ownership, aesthetic value and conversational value, which in turn fosters intention to engage in prosocial behaviors.

The study used a scenario-based survey that allowed U.S.-based participants to create their own avatars and imagine using their avatars to explore heritage sites in the metaverse. Structural equality modeling was applied for data analysis.

The results from 357 valid responses indicate that technology mindfulness arouses tourists’ individual psychological ownership, aesthetic value, conversational value and prosocial behavioral intentions. The moderating role of biospheric value orientation on willingness to donate and intention to volunteer is investigated.

The research sheds light on the significance of technology mindfulness, conversational value and psychological ownership perspectives in the metaverse, which have been previously overlooked. The authors used a scenario-based survey for mental stimulation due to current metaverse technology limitations.

The study is one of the first to explore the possibility of encouraging prosocial behaviors using metaverse-facilitated technology. The research offers guidelines to engage hospitality and tourism customers in the metaverse that can blend their virtual experiences into the real world.

This study represents one of the pioneering efforts to gain an in-depth understanding of the application of metaverse in triggering prosocial behavior toward heritage sites, explained via a technology mindfulness-driven model with a psychological ownership perspective.

The COVID-19 crisis has sped up digital transformation and technologies by several years. Customers have dramatically shifted to online channels, and businesses have quickly responded by offering additional canals for online shopping and payment. Customers have also been exhibiting greater preferences for contactless payments, and mobile banking has therefore become a norm in both developed and developing countries. This study aims to understand the antecedents of mobile banking actual usage in an early adoption stage setting (i.e. Morocco) through a comprehensive conceptual model combining the unified theory of acceptance and use of technology, the DeLone and McLean IS success model and additional constructs extracted from extent literature. The moderating effects of age, gender and education are also examined and analyzed using multigroup analysis.

Based on data collected from 616 Moroccan users, the authors empirically tested the proposed conceptual model using structural equation modeling.

First, consumer M-banking actual usage has a significant effect on customer satisfaction and attitudinal loyalty; at the same time, attitudinal loyalty was significantly influenced by customer satisfaction. Second, while M-banking actual usage was significantly influenced by effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, service quality, trust, attitude and perceived security, the results show no significant impact of system quality and information quality. Third, the relationship between M-banking actual usage and its antecedents was significantly moderated by age, gender and education.

The findings help bank practitioners to understand the importance of meeting customers’ needs and expectations as a prerequisite in enhancing actual usage, satisfaction and attitudinal loyalty. More importantly, the authors emphasize the need for demographically oriented strategies to target different demographic segments of customers.

The study bridges a gap in M-banking literature by offering a thorough understanding of consumers’ mobile banking use during the pandemic. The findings provide evidence of the applicability of the conceptual model proposed in this research. Furthermore, the reflection of the moderating effects of gender, age and education emphasizes the mobile banking usage disparities among dissimilar demographic segments.

Vision, audition, olfactory, tactile and taste are five important senses that human uses to interact with the real world. As facing more and more complex environments, a sensing system is essential for intelligent robots with various types of sensors. To mimic human-like abilities, sensors similar to human perception capabilities are indispensable. However, most research only concentrated on analyzing literature on single-modal sensors and their robotics application.

This study presents a systematic review of five bioinspired senses, especially considering a brief introduction of multimodal sensing applications and predicting current trends and future directions of this field, which may have continuous enlightenments.

This review shows that bioinspired sensors can enable robots to better understand the environment, and multiple sensor combinations can support the robot’s ability to behave intelligently.

The review starts with a brief survey of the biological sensing mechanisms of the five senses, which are followed by their bioinspired electronic counterparts. Their applications in the robots are then reviewed as another emphasis, covering the main application scopes of localization and navigation, objection identification, dexterous manipulation, compliant interaction and so on. Finally, the trends, difficulties and challenges of this research were discussed to help guide future research on intelligent robot sensors.