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Utilizing transaction cost economics (TCE) theory as the theoretical underpinning, this article aims to describe the costs of interpersonal helping and governing mechanisms that individuals may use to alleviate helping costs.

A theoretical analysis was performed by drawing upon TCE and related research.

Through the lens of TCE, the authors propose the following: First, as the costs of helping increase, interpersonal helping shifts from being triggered by an autonomous motivation to being regulated by contextual contingencies. Second, the helper is likely to utilize reciprocity to mitigate helping costs by acquiring specific assets possessed by the recipient when asset specificity is high. Third, the helper is likely to utilize organizationally sanctioned procedures and rules to mitigate helping costs by eliminating unwanted resource consumptions when outcome uncertainty is high. Finally, the helper is likely to utilize group norms to mitigate helping costs by involving others in helping or discouraging requests for recurrent help when the frequency of helping is high.

From a theoretical standpoint, this article complements previous research that focuses on the dark side of interpersonal helping. Practically, the authors offer several implications that help managers minimize the costs of helping in the organization.

Utilizing a self-regulatory perspective, the authors examine how narcissism influences perceived negative inequity and the downstream effects on self-enhancement motivation and organizational citizenship behaviors (OCBs) over time.

A total of 689 useable three-wave panel data were obtained via Amazon Mechanical Turk during a three-month period. A latent growth curve modeling approach using EQS 6.4 for Windows was employed to test the hypothesized model.

Results illustrate that individuals with higher levels of narcissism perceive higher levels of perceived negative inequity and then form higher levels of self-enhancement motivation, which prompt more OCB directed toward the organization (OCBO) than OCB directed toward individuals (OCBI). When perceived negative inequity increases over time, narcissists experience a faster increase in self-enhancement motivation, which also leads to a faster increase in OCBO compared to the increase in OCBI.

Theoretically, this study provides theoretical and empirical insights into understanding the process through which narcissists' OCBs are motivated. Practically, this study offers several practical recommendations that help managers manage OCBs effectively in the organization.

Due to the dominant use of the singular view of the self-categorization process in the literature, this article seeks to develop a typology, from a dyadic categorization perspective, that describes different types of prejudice and justice in the organization based on one's self-categorization and others' categorization of one's self.

The authors develop a typology by drawing upon social identity, self-categorization and self-consistency theories.

The authors propose the following findings. First, the more an individual self-categorizes as an in-group member regardless of how others categorize the individual, the more likely the individual experiences a particular form of justice. Second, the more an individual self-categorizes as an out-group member regardless of how others categorize the individual, the more likely the individual experiences a particular form of prejudice. Finally, based on the dyadic categorization approach, the authors propose four distinct types of prejudice and justice: communal prejudice, self-induced prejudice, fantasized justice and actualized justice.

The authors advance the literature by providing a dyadic categorization view that helps describe employees' experience of prejudice or justice in the organization. Additionally, this article offers some managerial recommendations that help managers actualize true justice in the organization.

This study seeks to examine the effect of work-related boredom and a perceived lack of external stimulation on benevolent and entitled employees' perceived inequity and discretionary workplace behaviors.

A total of 668 useable three-wave panel data were obtained via Amazon Mechanical Turk during a three-month period. The hypothesized model was tested using a latent growth curve modeling via EQS 6.4 for Windows.

This study finds the following results. First, benevolent employees who experience higher initial work-related boredom report positive inequity. Second, entitled employees who experience higher initial work-related boredom and a perceived lack of external stimulation report negative inequity. Third, increases in work-related boredom and a perceived lack of external stimulation result in a faster increase in entitled employees' perceived negative inequity. Fourth, entitled employees who perceive higher negative inequity at the initial measurement period report higher interpersonal deviance. Finally, increases in entitled employees' perceived negative inequity result in a faster increase in interpersonal deviance.

This study highlights how employees may assess their effort and rewards when experiencing boredom. This study also offers some practical recommendations that help human resource managers manage boredom in the organization effectively.

Given the disruption of the COIVD-19 pandemic in higher education, this study seeks to understand possible changes in students’ ratings and textual reviews of higher education institutions posted on Niche College Rankings (niche.com) prior to and after the COVID-19 pandemic.

This study utilized a text analytics technique to identify the positive and negative keywords of students’ sentiments expressed in their textual reviews provided on niche.com. After identifying the positive and negative sentimental keywords, this study performed ordinal logistic regressions and analyzed the statistical effects of these positive and negative sentimental keywords on the types of student ratings of a higher education institution.

Results from 15,666 online reviews provided by students on niche.com indicate the following. First, eight positive sentimental keywords such as “outstanding” and “love” have a significant impact on students’ positive ratings of a higher education institution prior to COVID-19, whereas eight positive sentimental keywords such as “amazing” and helpful” have a significant impact on students’ positive ratings of a higher education institution after COVID-19. Second, twenty-eight negative sentimental keywords such as “difficult” and “frustrating” have a significant impact on students’ negative ratings of a higher education institution prior to COVID-19, whereas thirty negative sentimental keywords such as “complex” and “hate” have a significant impact on student negative ratings of a higher education institution after COVID-19.

This study is one of the first few studies investigating higher education institution ratings and reviews provided by students. Additionally, this study provides an understanding of student positive and negative sentiments expressed in textual reviews posted prior to and after the COVID-19 pandemic. By doing so, this study provides a basis for future research seeking to understand student textual reviews of higher education institutions. Additionally, this study offers higher education administrators some recommendations that may foster student positive campus experience while minimizing negative sentiments.

This article aims to develop a new theory that can better explain and predict how and when humans interact with commercial robots. To this end, utility maximization theory (UMT) along with four principles and propositions that may guide how human-to-commercial robot interactions are developed.

This article conceptualizes UMT by drawing from social exchange, conservation of resources, and technology-driven theories.

This article proposes UMT, which consists of four guiding principles and propositions. First, it is proposed that the human must invest sufficient resources to initiate a human-to-commercial robot interaction. Second, the human forms an expectation of utility gain maximization once a human-to-commercial robot interaction is initiated. Third, the human severs a human-to-commercial robot interaction if the human is unable to witness maximum utility gain upon the interaction. Finally, once the human severs a human-to-commercial robot interaction, the human seeks to reinvest sufficient resources in another human-to-commercial robot interaction with the same expectation of utility maximization.

This article is one of the few studies that offers a theoretical foundation for understanding the interactions between humans and commercial robots. Additionally, this article provides several managerial implications for managing effective human-to-commercial robot interactions.

This study attempts to fill the research gap by extending sustainability literature and providing empirical evidence that considers sustainability marketing commitment (SMC) as a fundamental attribute of effective marketing strategy that consequently improves tourism service quality, as represented by service attractiveness.

In the current study, data was collected from 313 tourism and hospitality firms. To test the model, this study applied structural equation modeling (SEM) to investigate the relationships among environmental strategy, SMC, supplier trust and service attractiveness in a mediation-moderation setting.

The results indicate that the multiple mediation effects of environmental strategy may indirectly influence tourist attractiveness through SMC and tourism services. The two-way moderating effects reveal that supplier trust and socialization strengthen the service attractiveness development process, while three-way interaction discovered that socialization and supplier trust positively moderate the relationships between tourism services and service attractiveness.

Sustainable strategy is a future trend for tourism business management; however, unknown to most is the role of marketing and environmental strategy in tourism business due to lack of integration with concepts in marketing strategy, with the multidimensionality of tourism services, and with the function of trust and socialization, critically undermining analyses of service attractiveness. This paper combines corporate sustainability and sustainability marketing methods to explore how an environmental strategy can improve tourism services and enhance a destination's attractiveness based on a mediation-moderation mechanism.

This study aims to propose a research model integrating technology acceptance model 3 (TAM3) constructs and human aspects of humanoid service robots (HSRs), measured by the Godspeed questionnaire series and tested across two hotel properties in Japan and the USA.

Potential participants were approached randomly by email invitation. A final sample size of 395 across two hotels, one in Japan and the other in the USA, was obtained, and the data were analysed using structural equation modelling.

The results confirm that perceived usefulness, driven by subjective norms and output quality, and perceived ease of use, driven by perceived enjoyment and absence of anxiety, are the immediate direct determinants of users’ re-patronage intentions for HSRs. Results also showed that users prefer anthropomorphism, perceived intelligence and the safety of an HSR for reusing it.

The findings have practical implications for the hospitality industry, suggesting multiple attributes of an HSRs that managers need to consider before deploying them in their properties.

The current study proposes an integrated model determining factors that affect the re-patronage of HSRs in hotels.