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The purpose of this article is to propose an overall framework for brand community formation that separates antecedents that lead to the formation of a brand community from those outcomes that are associated with established communities.

The authors approached this review through an interdisciplinary literature review that delineated psychological, structural and behavioral processes that underline the formation of the brand community, often illustrated by contemporary cases in the sport industry.

The findings outline 18 different constructs, categorized in three overarching dimensions, separating structural, behavioral and psychological constructs. The authors posit these 18 constructs are at the heart of brand community formation. These constructs provide managers with a guide to inform their efforts to form a new brand community.

It is emphasized that brand community formation is a complex process that is paradoxical in nature and requires organizations to balance a non-interventionist approach that would allow for consumer empowerment, with a pro-active approach that creates conditions for a successful brand community formation process.

The gender composition of teams remains an important yet complex element in unlocking the success of collaboration and performance in the metaverse. In this study, the authors examined the collaborations of same- and mixed-gender dyads to investigate how gender composition influences perceptions of the dyadic collaboration process and outcomes at both the individual and team levels in the metaverse.

Drawing on expectation states theory and social role theory, the authors hypothesized differences between dyads of different gender compositions. A blocked design was utilized where 432 subjects were randomly assigned to teams of different gender compositions: 101 male dyads, 59 female dyads and 56 mixed-gender dyads. Survey responses were collected after the experiment.

Multilevel multigroup analyses reveal that at the team level, male dyads took on the we-impress manifestation to increase satisfaction with the team solution. In contrast, female and mixed-gender dyads adopted the we-work-hard-on-task philosophy to increase satisfaction with the team solution. At the individual level, impression management is the key factor associated with trust in same-gender dyads but not in mixed-gender dyads.

As one of the pioneering works on gender effects in the metaverse, our findings shed light on two fronts in virtual dyadic collaborations. First, the authors offer a theoretically grounded and gendered perspective by investigating male, female and mixed-gender dyads in the metaverse. Second, the study advances team-based theory and deepens the understanding of gender effects at both the individual and team levels (multilevel) in a virtual collaboration environment.

Competitiveness is an individual difference variable that incorporates factors generally associated with the desire to excel in comparison to others and the enjoyment of competition. There is still much debate on whether it is helpful or harmful, which may stem from the scattered ways in which it is studied. Thereby, this study aims to properly synthesize the literature concerning the prevailing correlates, underlying theory and frequent applications of competitiveness and to set forth an outline of domains in need of further research and exploration.

The authors do so by using two methods of analysis on a representative sample of 546 peer-reviewed publications.

The authors find that competitiveness research has and will continue to grow expeditiously, but its complexity and cloudiness have not yet been attenuated.

The study uncovers opportunities for pertinent future research on competitiveness to grow more productively and collaboratively by highlighting salient works and identifying the fragmentations that have led the literature into a state of disarray.

Positive experiences with working from home (WFH) during the Corona pandemic (COVID-19) have motivated many employees to continue WFH after the pandemic. However, factors influencing employees' WFH intentions against the backdrop of experiences during pandemic-induced enforced working from home (EWFH) are heterogeneous. This study investigates factors linked to information technology (IT) professionals' WFH intentions.

This mixed-methods study with 92 IT professionals examines the effects of seven predictors for IT professionals' WFH intentions. The predictors are categorized according to the trichotomy of (1) characteristics of the worker, (2) characteristics of the workspace and (3) the work context. Structural equation modeling is used to analyze the quantitative survey data. In addition, IT professionals' responses to six open questions in which they reflect on past experiences and envision future work are examined.

Quantitative results suggest that characteristics of the worker, such as segmentation preference, are influencing WFH intentions stronger than characteristics of the workspace or the work context. Furthermore, perceived productivity during EWFH and gender significantly predict WFH intentions. Contextualizing these quantitative insights, the qualitative data provides a rich yet heterogeneous list of factors why IT professionals prefer (not) to work from home.

Reasons influencing WFH intentions vary due to individual preferences and constraints. Therefore, a differentiated organizational approach is recommended for designing future work arrangements. In addition, the findings suggest that team contracts to formalize working patterns, e.g. to agree on the needed number of physical meetings, can be helpful levers to reduce the complexity of future work that is most likely a mix of WFH and office arrangements.

This study extends literature reflecting on COVID-19-induced changes, specifically the emerging debate about why employees want to continue WFH. It is crucial for researchers and practitioners to understand which factors influence IT professionals' WFH intentions and how they impact the design and implementation of future hybrid work arrangements.

This paper aims to provide researchers and practitioners with a consumer-focused alternative for considering the integration of artificial intelligence (AI) into services.

The paper reviews and critiques the most popular frameworks for addressing AI in service. It offers an alternative approach, one grounded in social psychology and leveraging influential concepts from management and human–computer interaction.

The frameworks that dominate discourse on this topic (e.g. Huang and Rust, 2018) are fixated on assessing technology-determined feasibility rather than consumer-granted permissibility (CGP). Proposed is an alternative framework consisting of three barriers to CGP (experiential, motivational and definitional) and three responses (communicate, motivate and recreate).

The implication of this research is that consistent with most modern marketing thought, researchers and practitioners should approach service design from the perspective of customer experience, and that the exercise of classifying service occupation tasks in terms of questionably conceived AI intelligences should be avoided.

Indicative of originality, this paper offers an approach to considering AI in services that is nearly the polar opposite of that widely advocated by e.g., Huang et al., (2019); Huang and Rust (2018, 2021a, 2021b, 2022b). Indicative of value is that their highly cited paradigm is optimized for predicting the rate at which AI will take over service tasks/occupations, a niche topic compared to the mainstream challenge of integrating AI into service offerings.

Drawing on the conservation of resources theory, this study aims to explore how individuals’ perceptions of telework effects associate with their adaptive performance by shaping their negative emotional experiences, with perceived leadership effectiveness acting as a critical moderator in this relationship.

A cross-sectional design was used, with data collected from a final sample of 209 teleworkers via an online survey.

The results demonstrated a significant indirect effect of the perceived effects of teleworking on adaptive performance through negative affect. Furthermore, leadership effectiveness moderated the indirect effect, in a way that the indirect effect was only significant for those who had ineffective leaders and moderate effective leaders; therefore, the indirect effect was strengthened for those who had less effective leaders (versus effective leaders).

This study examines the positive link between teleworking perceptions and adaptive performance through the reduction of negative affect, in line with the conservation of resources theory. Moreover, a reduction in negative emotions among employees during telework is associated with enhanced performance. Notably, the study reveals that leadership effectiveness moderates this connection as playing a crucial role in moderating these effects, particularly when leaders are perceived as less effective, offering insights for organizations considering telework strategies.

Agile project teams are self-managing and self-organizing teams, and these two characteristics are pivotal attributes of emergent leadership. Emergent leadership is thus common in agile teams – however, how these (informal) emergent leaders can be identified in teams remains far from understood. The purpose of this research is to uncover techniques that enable top management to identify emergent agile leaders.

We approached six agile teams from four organizations. We employ social network analysis (SNA) and aggregation approaches to identify emergent agile leaders.

We approached six agile teams from four organizations. We employ SNA and aggregation approaches to identify emergent agile leaders.

Seven emergent leaders are identified using the SNA and aggregation approaches. The same leaders are also identified using the KeyPlayer algorithms. One emergent leader is identified from each of the five teams, for a total of five emergent leaders from the five teams. However, two emergent leaders are identified for the remaining sixth team.

Emergent leadership is a relatively new phenomenon where leaders emerge from within teams without having a formal leadership assigned role. A challenge remains as to how such leaders can be identified without any formal leadership status. We contribute by showing how network analysis and aggregation approaches are suitable for the identification of emergent leadership talent within teams. In addition, we help advance leadership research by describing the network behaviors of emergent leaders and offering a way forward to identify more than one emergent leader in a team. We also show some limitations of the approaches used and offer some useful insights.

Employers are increasingly attempting to mitigate subtle but harmful forms of employee rudeness and slights. These include “microaggressions”, “everyday discrimination” and “workplace incivility”, among others. It is unclear which of these various terms is most acceptable for introducing the topic in the workplace. This paper explores human resources (HR) leaders' considerations about the terms and the organisational context that allow for successful implementation.

16 expert interviews were conducted with HR leaders from large organisations in the United Kingdom. Reflexive Thematic Analysis was used to explore interview transcripts.

HR leaders reflected on various terms for subtle slights, largely according to how understandable (coherent) and emotionally resonant (provocative) they appeared. They did not converge on any universally accepted term. Less abstract terms were regarded as most acceptable for a broad audience. There was a view that leaders, often representing dominant groups, would find provocative terms such as microaggressions less acceptable than under-represented groups; the latter would find their experiences of subtle slights validated by terms such as microaggressions. Participants suggested that understanding the need for change was a necessary precursor to participation in training. Compliance-based approaches were considered less helpful. Implications for the design of training initiatives are presented whereby several terms could be used and explained.

This is the first study to gather HR leaders' views on the acceptable terminology for subtle slights. Findings suggest employers may find value in adopting an implementation science approach to introducing diversity initiatives.

The purpose of the study is to examine the factors that influence people's intention to adopt electric vehicles (EVs). The study used an expanded theory of planned behaviour (TPB) along with the addition of perceived trust and consideration of future consequences (CFC).

The study is based on primary data collected from 282 respondents in Punjab through a questionnaire. The collected data were analysed using SPSS 26 and AMOS 24 to perform confirmatory factor analysis and structural equation modelling.

The empirical analysis indicates that attitude, subjective norms and perceived trust have a significant influence on the adoption intention (AI) of EVs.

The implications provide policymakers and marketers with better insights into marketing EVs in the trajectory of sustainable mobility. Marketers should create focussed marketing materials that highlight the environmental ease of use, lower running costs and sophisticated technology of electric automobiles. The limitations of the study provide valuable insights for future researchers.

This is the first study that uses CFC with the TPB model in the context of AI of EVs specifically for the Punjab region.

The purpose of this paper is to narrow the research gap by examining the relationship between new ecological paradigm (NEP), consideration of future consequences (CFC), the intention to buy and the intention to pay a premium in the context of electric car (EC) purchase in India.

This study used a structured questionnaire to measure the variables of the research. The study successfully obtained useable data from a sample of 491 consumers residing in India. The analysis of the variables and their relationships was done using structural equation modelling using SMARTPLS4 software.

The relationship between the values of NEP and CFC was observed in the context of electric cars that has a significant impact on the intention to buy and pay a premium. It also highlights the role of CFC future and CFC immediate on the intention to buy and between NEP and the intention to pay a premium.

The study only covers electric cars, and therefore further testing of these relationships is required in the context of other forms of environmentally friendly transportation. The results are generalizable across the potential consumers of EC but are even more pertinent to higher-income millennial consumers.

Potential buyers of electric cars, having a positive orientation towards the environment and also consideration for future consequence, were observed to have a stronger intention to buy EC. The study finds a way in increasing the intention to buy an EC by catalyzing environmental concern of consumers through CFC future.

This is the first study that has examined the NEP-CFC relationship, and provides evidence that the intention to buy an electric car is not only NEP (environmental concern)-dependent but also considers CFC's future orientation. This study adds the CFC aspect as another important variable regarding the purchase of EC, and proves that environmental concern is not the only moderating factor to buy an EC.