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The purpose of this study is to develop a framework for the perceived intelligence of VAs and explore the mechanisms of different dimensions of the perceived intelligence of VAs on users’ exploration intention (UEI) and how these antecedents can collectively result in the highest level of UEI.

An online survey on Amazon Mechanical Turk is employed. The model is tested utilizing the structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approach from the collected data of VA users (N = 244).

According to the SEM outcomes, perceptual, cognitive, emotional and social intelligence have different mechanisms on UEI. Findings from the fsQCA reinforce the SEM results and provide the configurations that enhanced UEI.

This study extends the conceptual framework of perceived intelligence and enriches the literature on anthropomorphism and users’ exploration. These findings also provide insightful suggestions for practitioners regarding the design of VA products.

This paper aims to examine whether information technology (IT) managers’ virtual listening, as rated by their high-tech employees, affected turnover behaviour beyond a new constellation of variables, some of which have never been researched as antecedents of turnover behaviour, particularly during a pandemic or crisis. Namely, the main aim, among others, is to answer the research question: does IT employees’ perception of the quality of their supervisors’ virtual listening in the pandemic and crisis era, when employees and managers work remotely, will negatively affect turnover behaviour? If yes, in which constellation of antecedents the virtual listening effecting on turnover behaviour?

Logistic regression analysis was conducted to test the hypotheses via SPSS 26 and PROCESS (Model 6). The variance inflation factor was calculated to test multicollinearity. Interaction was tested using the Hayes and Preacher PROCESS macro model. The researchers also used the J-N technique test (Johnson–Neyman via process). The supplemental analysis used also PROCESS MACRO (IBM Corp., Armonk, NY, USA, 2023) Model 4 and Bootstrap test.

The findings show that perceptions of supervisors’ virtual listening quality as rated by their employees moderated the relationship between organisational deviance as a type of organisational misbehaviour (OMB) and turnover behaviour and had the strongest effect on turnover behaviour beyond other key predictors (organisational deviance as a type of misbehaviour, turnover intention, job satisfaction, embeddedness and alternatives in the labour market). Alternatives to current work moderated the association between the perception of managers’ virtual listening behaviour as rated by their employees and turnover behaviour. Specifically, when alternatives in the labour market were high or medium, the perceived quality of managers’ virtual listening reduced turnover behaviour. Finally, the perception of the IT employees supervisors’ virtual listening moderated the relationship between organisational deviance and turnover intention among high-tech employees.

Evaluating supervisor listening in the high-tech firm may have value in terms of its relationship to outcomes such as retaining employees, turnover intention and especially turnover behaviour. The effect on turnover behaviour and of that new constellation of antecedents on turnover behaviour when people work remotely was not researched yet and important for the post COVID-19 era. Additionally, in contrast to most studies of turnover, this study also focus on the positive aspects of turnover and especially turnover behaviour to organisations in general and especially to high-tech firm and not just the negative aspect as was researched until now. Another contribution is the finding that when employees perceived their managers’ virtual listening quality as high, the effect of deviance as a type of OMB on turnover behaviour was positive. Namely, the listening as a moderator and turnover assisted in making the organisation cleaner from inappropriate behaviour. Additionally, when alternatives in the labour market are high or medium, perceived quality of virtual listening of managers as rated by their employees can reduce turnover behaviour. This virtual listening–turnover relationship and the moderator of alternatives to current work had not previously been found in the turnover literature and this is also significant a contribution to the turnover and withdrawal literature.

This study aims to clarify identity building and authenticity management in human brand research, focusing on inside operators managing corporate accounts on social media. Conventional human brand research analyzes online influencers, and there is a research gap in whether these previous findings apply to corporate accounts.

Using netnography and interview data, this study analyzes Japanese corporate accounts on Twitter.

A corporate account’s identity is constructed under the influence of not only the brand but also the actual inside operator, called naka-no-hito, and other accounts that interact on social media. Corporate accounts are able to exhibit humanistic passion through the inside operator’s personality and maintain a distance from commerciality – to manage their authenticity. These activities attract general and other corporate and media accounts, and interactions with them re-create promotion effects.

This study observed that corporate accounts’ authenticity is not a trade-off between passion and commercial transparency but a compatibility achieved by coordinating interests among actors, together with the presence of inside operators.

The study aims to look at the link between horizontal violence (HV) and organizational culture aspects. Bullying and hostility including intergroup conflict are referred to as HV. HV is a significant issue that is encountered in various professions. The different cultural typologies of group, developmental, hierarchical and rational culture have been addressed in this study. Additionally, it is identified that the prevalence of HV in organizations with different cultural dimensions.

Using a non-probability multistage sampling strategy, a quantitative method was used and questionnaires were circulated to collect data from the information technology sector. The data were analyzed using multiple regression analysis.

The findings demonstrated that HV has a positive and substantial association with the group and developmental culture, whereas HV has a negative link with hierarchical and rational culture.

These results provide a valuable tool for human resource managers and policymakers in promoting a healthy work environment and employee interpersonal collaboration, which will improve the organization’s overall performance.

This study is a novel work exploring the HV among employees in technological firms, and also combining the concepts of HV and organizational culture and also assists future researchers in many folds.

Research on the effects of feedback frequency has reported mixed findings. To tackle this problem, the current study focuses on specific feedback signs (i.e. negative feedback). By integrating the face management theory and attribution theory, this study examined the mediating effect of trust in supervisors and the moderating effect of employee-attributed performance promotion motives for negative feedback.

A field study with 176 participants and two supplemental experiments with 143 and 100 participants, respectively, were conducted to test the theoretical model.

Results revealed that the frequency of supervisory negative feedback negatively influenced employees’ trust in supervisors, which in turn influenced employees’ perceptions of feedback utility and learning performance. These indirect effects can be alleviated when employees have high degrees of performance promotion attribution for supervisor motives.

This research extends feedback research by integrating feedback frequency with a specific sign of feedback and revealing a moderated mediation effect of the negative feedback frequency.

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.

Career adaptability is emerging as an important research area in today's uncertain, volatile world of work created by the COVID-19 pandemic. The present study focuses on career adaptability research post-COVID-19 by scientifically capturing the literature evolution, hotspots and future trends using bibliometric analysis.

The Scopus database, due to its vast and quality literature, was used to search the papers from the period 2020 to 2023. Bibliometric data were extracted and analyzed from the relevant literature. For further scientific mapping, VOSviewer and Biblioshiny software tools were used.

Findings of the analysis suggest a positive research trend related to career adaptability research post-Covid. Keyword analysis revealed noteworthy clusters and important themes. Bibliometric visual networks regarding authors, sources, citations, future themes, etc. are also presented from the 441 analyzed publications with comprehensive interpretation.

The literature for carrying out the bibliometric analysis was confined to the Scopus database. Other databases in combination with different software can be used for future niche research. From the analysis, future research avenues and practical interventions are presented which have significant implications for future researchers, career counselors and managers.

The study summarizes the recent literature on career adaptability in the aftermath of the pandemic and makes a novel contribution to the existing literature. A reliable study has been provided by the authors using the scientific bibliometric technique. The study highlights emerging research trends post the pandemic. The results are concluded with further suggestions which can guide future research related to the topic.

Supervisory abuse is a form of destructive leadership. Research has continued to document many deleterious consequences associated with such improper behavior at work. This study further extends its consequences by testing a model linking abusive supervision to job apathy through a climate of fear.

This study drew on affective events theory in investigating the role of the climate of fear in instances where casual workers perceive abuse in commercial banks. A three-wave and three-week time lag approach was adopted for data collection from 245 casual workers in southeastern Nigeria.

Results from partial least squares structural equation modeling supported the model by showing that abusive supervision had a direct positive relationship with the climate of fear and job apathy, while the climate of fear related positively to job apathy. Results also revealed that the climate of fear partially mediated the relationship between abusive supervision and job apathy.

Managers can be trained to become more supportive and less abusive to address the problem of abusive supervision. Furthermore, casual workers are encouraged to report any abuse from their manager to higher authorities inside or outside their workplace.

This study sheds new insights and advances the abusive supervision literature by investigating the climate of fear as the underlying mechanism.

Social media has played a pivotal role in polarizing views on Russia–Ukraine conflict. The effects of polarization in online interactions have been extensively studied in many contexts. This research aims to examine how multiple social media sources may act as an integrator of information and act as a platform for depolarizing behaviors.

This study analyzes the communications of 6,662 tweets related to the sanctions imposed on Russia by using textual analytics and predictive modeling.

The research findings reveal that the tweeting behavior of netizens was depolarized because of information from multiple social media sources. However, the influx of information from non-organizational sources such as trending topics and discussions has a depolarizing impact on the user’s pre-established attitude.

For policymakers, conflict mediators and observers, and members of society in general, there is a need for (1) continuous and consistent communication throughout the crisis, (2) transparency in the information being communicated and (3) public awareness of the polarized and conflicting information being provided from multiple actors that may be biased in the claims being made about the conflict crisis.

While previous research has examined Russia–Ukraine conflict from a variety of perspectives, this is the first study to examine how social media might be used to reduce attitude polarization during times of conflict.

The purpose of this study is to review cyberbullying incidents among students in higher education institutions (HEIs). Cyberbullying has become a threat to students' wellbeing as it penetrates one life due to the pervasive availability of digital technologies.

Through a bibliometric analysis, this study analyzes 361 journal publications from the Web of Science (WoS) based on bibliographic coupling and co-word analysis.

Significant themes were found related to cyberbullying in HEIs, particularly related to the impact and determinants of cyberbullying on students. Bibliographic coupling produces three clusters on the current research fronts, while co-word analysis produces four clusters on the prediction of future trends. Implications of this phenomenon warrant comprehensive intervention by the HEIs management to dampen its impact on students' wellbeing. Findings would enhance the fundamental understanding through science mapping on the prevalent and potential incidence of cyberbullying.

Crucial insights will benefit the government, HEIs’ management, educators, scholars, policymakers and parents to overcome this dreadful phenomenon of cyberbullying. Several managerial interventions and mitigation strategies are proposed to reduce and control the occurrence of cyberbullying.

This study presents a bibliometric review to uncover the knowledge structure of cyberbullying studies in HEIs.