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This study aimed to illustrate the conditions under which cultural diversity enhances workgroup creativity. It does so by investigating the impact of ethnic diversity on workgroup creativity through the mediating mechanisms of cognitive diversity and information elaboration, while also exploring the role of inclusive leadership in this process.

Multi-source data was collected from a sample of 338 employees nested within 56 workgroups across three distinct organizations. Conditional process analysis was used to empirically test the proposed hypotheses.

The results show that ethnic diversity, a surface-level cultural attribute, contributed to diversity in deep-level cognitive resources, and that workgroups were able to capitalize on these variations in deep-level cognitive resources to enhance their creativity when they engaged in the elaboration of task-relevant information. Results also demonstrated that the effective management of workgroup processes through inclusive leadership helped materialize the performance-promoting effects of cultural diversity. Overall, the findings support the notion that cultural diversity is indeed beneficial to workgroups.

Prior research has typically examined cultural diversity in workgroups from the perspective of either surface-level or deep-level cultural attributes, leading to conflicting findings. Our study takes a multifaceted approach to cultural diversity and its influence on workgroup creativity, offering a more nuanced understanding. Additionally, by integrating the concept of inclusive leadership, a relatively new conceptualization of leadership specifically relevant to diverse workgroups, we clarified strategies for fostering positive workgroup performance.

This study aims to explore the effects of expertise diversity on project efficiency and creativity in health-care project teams.

This study analyzes hierarchical linear models using multi-source data from 50 project teams in a large health-care organization in the USA. This data set includes self-reported survey responses from 274 team members and human resource information for all 515 members across the 50 teams. Expertise diversity is operationalized by professional diversity and positional diversity reflecting two dimensions, domain and level, of the concept of expertise.

This study reveals that professional diversity is negatively related to project efficiency and project creativity, whereas positional diversity is positively related to project efficiency.

Successfully managing a project team of experts within a limited time frame is a challenge for organizations. This study advances the understanding of the double-edged sword effect of expertise diversity on project teams, focusing on professional and positional diversity. It provides important insights for human resource development in terms of the composition of project teams regarding members’ expertise.

This study aims to address the challenge many organizational leaders face in fostering workforce cohesion. Focusing on the context of sports club volunteering, this study investigates how leaders can enhance group cohesion among volunteers. The study findings provide valuable insights applicable across various work settings.

Through a multilevel design, this study examined the role of autonomy–supportive and structuring leadership in shaping social and task cohesion within volunteer teams at the group level. In total, 557 volunteers nested within 52 nonprofit sports clubs situated in the Flemish region of Belgium were involved in this study, providing a robust foundation for our analysis.

This research revealed that regular volunteers form “true groups”, exhibiting substantial between-group variance in social and task cohesion and a strong within-group consensus. Additionally, the findings underscored the significance of autonomy–supportive leadership in fostering cohesion, demonstrating a positive relation with social and task cohesion at the group level.

This study demonstrates that volunteer teams, like work teams in the for-profit sector, actively engage in interpersonal exchanges within their organization, which help shape their collective sense of unity and alignment with common objectives. Leaders can enhance these interactions by fostering an autonomy–supportive environment where members feel empowered to share their perspectives and ideas. Additionally, the findings suggest that the nature of the task and the specific context can influence which leadership style is most effective, with the provision of structure also playing a role. With these insights, leaders in diverse organizational settings can effectively nurture the development of cohesive groups.

Following counterarguments from previous studies, overwhelming evidence from meta-analyses shows that supply-chain integration (SCI) is not universally associated with improved performance. This study aims to clarify all the mechanisms purported to reach the combined effects of SCI dimensions.

In this study, the authors first conducted a literature review and identified the effects of different individual SCI dimensions and their interactions and mediation, or arcs of integration, as reported by past studies. Data from a survey of 348 firms were analyzed using multiple regressions, structural equation modeling and latent class analysis.

The results showed that the positive independent associations between SCI dimensions and operational performance change as they interact. Larger combinational effects were found in a second-order SCI construct and a mediation model. Smaller effects and fewer significant paths (and even negative signs) were also found. This shows that more SCI is not always better. Finally, configurational effects varied: the latent class analysis showed that a more inward (internal integration) gestalt performed better for some firms.

Some variables that could affect operations performance were missing from the models, and this paper did not specify the directions of relationships among the five performance dimensions. The authors are aware of cumulative models, but they are not within the scope of this paper. In addition, this study did not consider other sociocultural factors that may influence different dimensions of SCI.

This study shows SCI dimensions play different roles. Therefore, it is needed to theorize the distinct roles of internal and external integration and how they somehow compensate or substitute for each other. The results suggest that future studies need to reexamine the universal predictions especially from resource-based, resource-advantage and relational views. SCIs are not inimitable and rare resources for all firms. Furthermore, implementing SCI does not guarantee resource and relational advantages for all firms.

In this paper, we ask: how do individual factors affect individuals’ intentions of adopting fast payment systems (FPS)? We examine the role of financial literacy and beliefs about cash as individual-related variables that complement the technology acceptance model (TAM) in explaining the individuals’ intention to adopt financial innovations.

We surveyed consumers in 11 Latin American countries to measure relevant variables. By applying structural equation modeling, we extended the TAM. We demonstrated that financial literacy and beliefs about cash contribute to developing a fine-grained understanding of what stimulates individuals’ adoption of financial innovations like FPS.

Our results support the claim that individuals with higher levels of financial literacy exhibit a higher intention to adopt FPS through the mediation role of beliefs about cash, perceived usefulness, perceived ease of use and attitude.

To improve FPS’s acceptance probability, designers must add highly usable platforms. However, it could be more important to increase the perceived usefulness of FPS as the system competes directly with traditional payment methods such as cash. If individuals exhibit strong positive beliefs about cash, their attitudes and intentions of adopting FPS will decrease. In addition, policymakers and designers may modify beliefs about cash individuals exhibit by identifying and intervening in their determinants (e.g. financial literacy).

Besides technology-related factors, we demonstrate that beliefs about alternative technologies (e.g. cash) influence the intention to adopt financial innovations like FPS.

The purpose of this paper is to test the impact of selected characteristics of jobseekers on employers’ decisions regarding potential hires (direct and probabilistic signals). The main focus of the study is to test the impact of jobseekers’ participation in selected active labour market programmes on employers’ hiring decisions for three positions: unskilled worker, skilled worker and administrative employee. Other characteristics tested include age, gender, presence of children in the household, state of health, experience of short- and long-term unemployment and indebtedness.

This study analyses data from a representative survey of employers with five or more employees in the Czech Republic. The survey was conducted in December 2020 using stratified random sampling, combining online questionnaires and personal interviews. The study includes 1,040 employers and uses the factorial survey experiment (FSE) design.

The results of the FSE suggest that the perceived positive impact of completing one of the activation programmes depends on the position for which the candidate is being recruited. While for the unskilled job category, the completion of any of the tested schemes (training, subsidised jobs or public works) had a positive effect; for the skilled job category, only the training and subsidised jobs schemes had a positive effect; and for the administrative job category, public works programme even had a negative effect.

A somewhat limiting factor in the context of this study seems to be the definitions of the positions tested (unskilled and skilled workers and administrative staff). The decision-making of the respondents was somewhat restricted by such broadly defined categories. Typically, studies with FSE designs have a focus on a specific sector of the economy, which allows for a better definition of the positions or jobs under test. The relationship between position and the impact of individual characteristics is clearly a matter for further research.

The results of the study confirm that completion of the activation programme, as well as other candidate characteristics, constitute differentiating signals for employers that influence their hiring decisions. At the same time, there is evidence that the training programme and the subsidised jobs programme are effective in terms of increasing participants’ chances of employment.

The demand side should be included in the evaluation of activation policies. The design of the FSE provides an appropriate way to test the impact of activation measures on the decision-making of employers.

To plan the future university campus, campus executives need decision-making support from theory and practice. Matching the static campus (supply) with the dynamic (demand) - while safeguarding spatial quality and sustainability - requires management information from similar organizations. This study presents an evidence-based briefing approach to support decision-makers of individual universities with management information when making decisions for their future campus.

For the proposed evidence-based briefing approach, the continuous Designing an Accommodation Strategy (DAS) framework is used in a mixed-method research design to evaluate the past to plan for the future. Five campus themes and three campus models (solid, liquid, and gas) are introduced to describe the development and diversification of university campuses and their impact across different university building types. Based on this theoretical framework, first, qualitative interview data are analyzed to understand which standards campus managers expect; second, a quantitative project database is used to demonstrate what is actually realized.

The findings demonstrate that remote working and online education will become more common. Academic workplaces and learning environments are more adaptive to changes than laboratory spaces. The analyses reveal different effective space use strategies to meet the current demand: they include space-efficient mixed-use buildings, and mono-functional generic educational and office spaces. These results show that operationalized evidence-based briefing can help design the future campus.

The study adds knowledge during a critical (post-COVID) period when decision-makers need evidence from others to adapt their campus management strategies to hybrid and sustainable ambitions.

The main objective of this research is to exploratorily analyse different factors that influence the decision of the senior population (+50 years) to engage in entrepreneurship activities in a group of Latin American countries. This study considers the motivations for entrepreneurship (opportunity and necessity) and the level of development of the countries.

The authors used data from the Global Entrepreneurship Monitor (GEM) with a sample of 22,139 observations of senior individuals in seven Latin American countries surveyed between 2013 and 2017. The authors also used the Human Development Index to capture the relevance of the level of development. The authors employed a multilevel logistic regression model to test the study hypotheses.

The study results show that individual factors such as personal income, education and occupation have a significant influence on the probability of entrepreneurship of senior individuals. Related to contextual factors, the level of human development of a country has a negative influence mainly on opportunity-based entrepreneurs.

Because of the rapidly ageing population in Latin America, understanding senior entrepreneurs and their motivations is very relevant not only in terms of theoretical development but also for policy and practical implications, primarily those related to labour markets and social protection.

Prior research on user-generated content (UGC) contributions has primarily focused on self-centered or other-centered motives, paying limited attention to the concept of enlightened self-interest, in which both motives coexist in a single organism. Additionally, the factors influencing enlightened self-interest and their effects in different circumstances are yet to be explored. Drawing on theoretical lenses rooted in the switching barriers perspective and stimulus–organism–response framework, this study posits that dedication-based switching barriers (community–member relationship quality, member–member relationship quality, and content attractiveness) positively relate to enlightened self-interest, whereas constraint-based switching barriers (switching costs) moderate the relationship between dedication-based switching barriers and enlightened self-interest in social media communities (SMCs). Members' enlightened self-interest in turn influences both the creation and co-creation of UGC.

This study comprised two quantitative studies: an online survey-based study (Study 1) and an online scenario-based experiment (Study 2). Study 1 surveyed 613 respondents, while Study 2 included 749 participants. Both studies employed structural equation modeling and bootstrapping techniques for analysis.

The findings indicate that dedication-based switching barriers positively affect users' enlightened self-interest, which in turn is positively associated with UGC creation and co-creation. Switching costs moderate the relationship between relationship quality (community–member and member–member) and enlightened self-interest.

This study complements the current understanding of how the association between dedication- and constraint-based switching barriers and users' enlightened self-interests influence user-generated contributions.

This study aims to perform the bibliometric analysis of the customer engagement (CE) literature, highlights the major research themes and classifies the subdomains. The study also identifies antecedents and consequences, as well as dimension evolution, and suggests future research directions.

This study used a comprehensive bibliometric approach using Scopus data from 2002 to January 2024. Advanced analytical techniques, including bibliometric and cocitation analysis using R and bibexcel, were used. In addition, machine learning (ML)-based Latent Dirichlet Allocation (LDA) was used to extract latent themes.

This study reveals the domain’s past trend and present research scenario. The thematic analysis of CE is classified into three phases. Document cocitation analysis provided four broad clusters: conceptualization and operationalization, value creation through engagement, building relationships with brands and engagement-social media interface. The antecedents and consequences are categorized and presented along with the evolution of the multidimensional nature of CE.

This study adds to the literature in two key ways. First, the entire scholarly production has been compiled into one frame. Second, multiple methods were used to unravel citation, cocitation and textual data. Furthermore, ML-based LDA was used to extract latent themes from clusters and future research directions were proposed.