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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.

A research framework that explains adoption intention in students with regard to brain–computer interface (BCI) games in the learning context was proposed and empirically examined.

In this study, an approach integrating the decomposed theory of planned behavior, perceived playfulness, risk and the task–technology fit (TTF) concept was used to assess data collected using a post-experiment questionnaire from a student sample in Taiwan. The research model was tested using the partial least-squares structural equation modeling (PLS-SEM) technique.

Attitude, subjective norms and TTF were shown to impact intention to play the BCI game significantly, while perceived behavioral control did not show a significant impact. The influence of superiors and peers was found to positively predict subjective norms. With the exception of perceived ease of use, all of the proposed antecedents were found to impact attitude toward BCI games. Technology facilitating conditions and BCI technology characteristics were shown to positively determine perceived behavior control and TTF, respectively. However, the other proposed factors did not significantly influence the latter two dependents.

This research contributes to the nascent literature on BCI games in the context of learning by highlighting the influence of belief-related psychological factors on user acceptance of BCI games. Moreover, this study highlights the important, respective influences of perceived playfulness, risk and TTF on users' perceptions of a game, body monitoring and technology implementation, each of which is known to influence willingness to play.

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.

Mobile e-commerce has brought convenience to consumers. But for goods such as shoes, mobile e-commerce has failed to provide the same experience as consumers would have in physical stores, and that also causes problems for online merchants, such as high return rates. As a result, the augmented reality (AR) virtual shoe-try-on function appeared. The way that AR virtual shoe-try-on study different from other AR virtual try-on studies is that AR virtual shoe-try-on study only satisfies consumers' visual experience and consumers cannot judge whether the shoes are comfort or not. Whether consumers would accept AR virtual try-on function to help them make purchase decision due to the visual experience provided by AR virtual try-on function is worth discussion. Measuring users' perceptions and preferences can help companies design AR shoe-trying functions and provide services more cost-effectively.

To promote the continuous use and better development of such mobile e-commerce based on the technology acceptance model (TAM), this study explored the influencing factors for users' intentions to continue using the AR virtual shoe-try-on function, including the perceived usefulness, perceived ease of use, system quality, perceived playfulness and attitude.

The results of this study showed that TAM is a powerful theoretical tool of the new technology in mobile e-commerce and that the system quality and perceived playfulness also have a positive impact on the original variables of TAM. System quality and perceived playfulness are important predictors of users' continuance intentions to use the AR virtual shoe-try-on function.

The main contribution of this study to model iteration and theoretical update is to verify the applicability of the TAM in the AR shoe-try-on function and to expand TAM model with system quality and perceived playfulness. The authors' results will help shoe enterprises win users' recognition through AR shoe-try-on function and improve users' continuance intention of use.

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.

The usefulness of technology for managing projects in the construction industry is indisputable. The potential utility of immersive technologies (ImTs), including virtual and augmented reality, has recently received significant attention. However, the construction industry, especially in developing countries, lags on the implementation of technology generally and ImTs specifically. Forecasting the potential successful ImTs acceptance at the individual level is essential to strategic planning. The study's objective was to develop and test a conceptual model of factors influencing ImTs acceptance at the individual level in the construction industry.

A survey of construction management-level professionals in South Africa was undertaken. The study extended two complementary models, the technology acceptance model (TAM) and the theory of planned behavior (TPB), to analyze behavior towards technology acceptance using structural equation modelling.

Results indicated that attitude significantly influenced the intention to use ImTs and perceived usefulness (PU) positively and significantly predicted the intention to use and usage attitude (UA). Further, the effects of perceived enjoyment (PEn) on UA, and social norms (SNs) and perceived behavioral control (PBC) on intention to use were positive and significant. Perceived ease of use (PEU) had negative and non-significant effects on intention to use and UA. By explaining 82% of the variance, the study established that the proposed model successfully evaluates how management-level professionals in the construction industry accept ImTs.

The study provides valuable insight into the acceptance of ImTs from the perspective of management-level stakeholders in the South African construction industry. It offers fundamental direction to create a general theory on integrating ImTs in construction.

This study systematically surveyed the intention to accept ImTs in the South African construction industry using an extension of the TAM and TPB models.

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.