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“Social hesitancy” is a reluctance by people to purchase products, or engage in activities, that may benefit themselves and society. This paper aims to review and assess a visual marketing approach to this significant social marketing problem.

The authors use data visualization technology as an informational tool, visual sentiment analysis as a social text mining tool and Latent Dirichlet Allocation visual (LDAvis) modelling as a topic modelling tool to measure, assess and address social attitudes inherent in hesitancy. The paper’s hypothesis is that these technologies can help society understand the reasons for, and barriers to, hesitancy, and that visual marketing is an extremely effective approach to the hesitancy problem.

Using extensive vaccination data and results from the COVID-19 pandemic, the authors found that the visual marketing technologies were successful informational and motivational tools for social hesitancy.

Hesitancy is a social marketing concern that can have an impact on product or service promotional and motivational campaigns during a crisis. The LDA visual model, for example, can quantitatively extract and measure the social attitudes of people and identify and segment these people based on their feelings. These tools can be valuable to social marketers by helping to establish strategies for any product or service exhibiting hesitant consumer behaviour.

Using advanced visual technology, the paper contributes to social hesitancy by addressing the following question: does a visual marketing approach help social marketers understand the underlying reasons for, and help to mitigate, social hesitancy?

Human resource analytics (HRA) has recently received attention. However, its literature remains unknown and scattered due to both limited conceptual lenses and limited classification. So, this study is conducted to provide a comprehensive research analysis in this field.

Accordingly, 107 HRA studies, which were collected according to the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) in the last 14 years (2010–2023), were analyzed in the first using the theory-context-characteristics-methods step to examine the evolution of HRA research. The study also develops a conceptual framework based on socio-technical system theory that shows the antecedents and outcomes of HRA adoption. In the second step, fuzzy Delphi and fuzzy step-wise weight assessment ratio analysis techniques were used to validate and refine the antecedents and outcomes obtained from the first step in such a way that experts’ opinions can be used and the existing knowledge body can be expanded.

In total, 30 antecedents and outcomes were confirmed based on the consensus of experts. Senior management support was identified as the most important antecedent and achieving organizational strategic outcomes as the most important outcomes of HRA adoption.

The study maps the current state of HRA studies, identifies directions for future studies by providing a state-of-the-art review of theories, antecedents, outcomes, contexts and methodologies and proposes a framework for HR managers and professionals to apply.

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.

A critical factor to the success of IPOs is investor demand, which can be observed from the IPO subscription pattern. Therefore, the objective of this study is to review the studies on the demand of IPOs, including empirical and theoretical literature, due to the substantial growth of IPOs over the last two decades.

This study extracted secondary data regarding IPO demand published from 1988 to 2022 from the Scopus database. We conducted a meta-literature review for qualitative and quantitative methods on the resulting 284 articles using citation analysis (Harzing’s Publish or Perish and VOS viewer software) and content analysis.

The findings revealed significant elements of the literature, including countries, institutions, journals, authors, articles and topics. Based on the IPO literature review and analyses, this paper developed future research questions to facilitate an extension of the research. Additionally, this paper developed a dual perspective of the present state of IPO research. First, it asserts that the demand for IPOs is not limited to certain countries, jurisdictions or vintages. Second, there are very few studies on demand for IPOs available despite IPOs’ economic worth.

To the best of the authors’ knowledge, this is the first study of its kind to present an empirical evaluation of demand for IPOs using inclusive mapping.

The purpose of this study is to investigate the combined effect of gender, trust, leadership style and team integration on entrepreneurial team performance. Through an integrated analysis of gender composition and team processes, we enhance the understanding of the drivers of new venture teams’ performance.

We use data collected from multi-player startup simulations involving 52 teams of masters-level students across two countries. We used the fsQCA methodology to perform a configurational analysis of different team composition and processes. This innovative application of the methodology allows us to identify new combinations of gender diversity and team processes that improve team performance.

Teams with higher proportions of women who shared leadership were more profitable in several configurations, demonstrating the importance of the relationship between gender and leadership models on performance. Shared leadership resulted in high levels of trust and sense of control, which increased team effectiveness and performance. We found that combining trust with shared leadership consistently resulted in successful positive outcomes, although not all successful teams included these attributes.

Our findings contribute to renewing the frame of research on new venture team performance that has long revolved around the leadership-cohesion-alignment (LCA) triangle. Although the LCA paradigm certainly improved our understanding of new venture success, it provided only a partial understanding of the organizational and relational context. It offered a restricted view of the sources of cohesion and alignment. We believe that our approach to data analysis based on the fsQCA method allowed us to extend our understanding of the determinants of entrepreneurial team performance.

The purpose of this study is to determine the impact of different diversity criteria (age and gender) on team performance using a business simulation game, where performance is operationalized by market valuation (Tobin’s Q) and profitability (cumulative net income).

The authors collected data of a business simulation game at a German public university (128 student groups and 645 individuals). Using multiple linear regression models, they investigated the impact of the different diversity criteria on team performance.

The authors found no significant effects of gender diversity on market valuation and profitability. However, the results of this study indicate a positive relationship between age diversity and both performance variables.

This paper contributes to the debate on the relationship between diversity and team performance by using data from a business simulation game. This study adds value by considering different diversity factors, objective performance indicators and the endogeneity of team formation (the seminar leaders randomly assign students to teams) which has not been applied in similar studies yet. Because of the setting of a simulated business game, the results could also be applied to the real economy where we observe working teams every day.

Strategic human capital analytics (SHCA) has proven to be promising for improved organizational performance; however, research remains unclear about its influence on new venture performance. Building on the dynamic capabilities view (DCV), this study investigates the relationship between SHCA and new venture performance via generative capabilities with the moderating role of dual nationality founding members.

A quantitative research study has been carried out. Data was collected via a survey form from 313 founding members of new tech ventures and analyzed using Hayes process macro model.

Research results show that the generative capability mediates the linkages between SHCA and new venture performance. Whereas, the dual nationality of a founding member strengthens the linkages between SHCA and generative capability due to their diverse perspective, larger networks, cognitive flexibility, and resilience, which are important for generative capabilities and SHCA.

The originality of these results lies in the exploration of the linkages between dual nationality and generative capability, as well as the special elements, such as diverse perspectives, larger networks, cognitive flexibility, and resilience, which are highlighted as possible advantages of dual nationality in the context of SHCA and new venture performance.

This paper aims to comprehensively investigate the multifaceted realm of Initial Coin Offerings (ICOs), delving into their unique characteristics, analyzing their far-reaching influence, and uncovering broader implications within the ever-evolving financial landscape. By addressing the research gap concerning the impact of team diversity on ICO success, we contribute nuanced insights to the existing discourse. Through meticulous data collection and econometric modeling, our purpose is to unravel the intricate dynamics at play, offering valuable perspectives on the transformative role of ICOs and the potential significance of team diversity in shaping their outcomes.

To explore the impact of team diversity on the success of Initial Coin Offerings (ICOs), we compiled a comprehensive database comprising 3,082 profiles and 309 projects from LinkedIn, ICOBench, and Coindesk. This dataset facilitated the creation of diverse variables for our econometric model, enabling a nuanced analysis of interactions and dynamics in the context of our research question. Through this methodical approach, we aim to contribute valuable insights into the role of team diversity in shaping the outcomes of ICO campaigns.

Our analysis of 3,082 profiles and 309 projects sheds light on the intricate dynamics of Initial Coin Offerings (ICOs). Team diversity emerges as a pivotal factor, significantly impacting the success of ICO campaigns. The econometric model, enriched with variables derived from our extensive dataset, reveals nuanced interactions. Teams characterized by diverse profiles exhibit a tangible influence on campaign outcomes, underscoring the importance of inclusivity in shaping the transformative potential of ICOs. These findings contribute valuable insights into the evolving landscape of financial innovation, emphasizing the role of diverse teams in navigating the complexities of decentralized, inclusive investment paradigms.

This study contributes to the evolving discourse on Initial Coin Offerings (ICOs) by pioneering an exploration into the uncharted territory of team diversity and its impact on campaign success. While previous research has delved into ICO performance and success variables, our focus on team diversity as a critical determinant presents a novel perspective. By methodically assembling a substantial dataset and applying an intricate econometric model, we offer a unique lens through which to understand the nuanced interplay of diverse teams in shaping the outcomes of ICOs. This fills a significant research gap and provides valuable insights into the multifaceted dynamics of contemporary financial innovation.