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By integrating insights from cognitive style literature and person-environment fit theory, our study aims to explore which type of entrepreneurs are more inclined to initiate humor behaviors, the circumstances under which such behaviors are more likely to be employed within entrepreneurial teams and the specific benefits of humor behaviors for initiators.

This paper analyzes humor behaviors in entrepreneurial teams through a three-wave time-lagged field survey of 227 entrepreneurs in China.

We find that entrepreneurs with higher creating style are more likely to exhibit humor, making them more popular within entrepreneurial teams. Additionally, the positive relationship is amplified in the presence of high levels of conflict.

Previous studies provide substantial evidence of the positive effects of humor behaviors on their recipients in the workplace; however, there has been limited focus on the antecedents of humor behaviors and the benefits for the humor initiators. Our study addresses the gaps by providing empirical evidence that creating style of entrepreneurs may promote humor behaviors, particularly in the context of conflicts within entrepreneurial teams, and such behaviors could elevate entrepreneurs’ social acceptance within teams.

There is a clear gap in the literature regarding the factors that determine social conductivity (extent of interactions) in project relationships. This study aims to use social capital theory to answer the research question – What factors determine social conductivity in project relationships?

In the study, the authors use fuzzy synthetic evaluation based on the findings from a survey of 203 project practitioners to quantify the impacts of three principal components of factors determining social conductivity in project relationships.

The study findings reveal the structural, relational and cognitive dimensions of project social capital are all significant (impact levels exceeding 3.50) for determining social conductivity in project relationships. However, the study’s main finding reveals – issues relating to the cognitive dimension of project social capital are the most critical factors determining social conductivity in project relationships (a criticality index of 4.326).

This study provides evidence of varieties of ways social capital can boost the conductivity of project relationships.

The key contributions of this study are linked to the manner in which project social capital determines social conductivity in project relationships. The findings add to previous research by extending the dimensions of the factors that increase social conductivity from relational project social capital to include two new dimensions (the cognitive and structural dimensions of project social capital).

The present study undertakes an extensive review of the causes of service failures in artificial intelligence (AI) technology literature.

A hybrid review has been employed which includes descriptive analysis, and bibliometric analysis with content analysis of the literature approach to synthesizing existing research on a certain topic. The study has followed the SPAR-4-SLR protocol as outlined by Paul et al. (2021). The search period encompasses the progression of service failure in AI from 2001 to 2023.

From identified theories, theoretical implications are derived, and thematic maps direct future research on topics such as data mining, smart factories, and among others. The key themes are being proposed incorporates technological elements, ethical deliberations, and cooperative endeavours.

This research study makes a valuable contribution to understanding and reducing service defects in AI by providing insights that can inform future investigations and practical implementations. Six key future research directions are derived from the thematic and cluster discussions presented in the content analysis.

The purpose of this study is to explore the potential impact of Industry 5.0 on businesses and management by integrating advanced technologies to develop smart cities (Society 5.0) and digital value chains, leading to Innovation 5.0 and triple bottom line sustainability. We propose an Organization Value Chain 5.0 model to describe the ecosystem interactions that leverage organizational innovative behavior through knowledge management.

Using a systematic literature review methodology, we conducted a comprehensive analysis of 968 Industry 5.0 articles, 297 Innovation 5.0 articles and 510 Society 5.0 articles from the WOS and Scopus databases. This analysis supports the development of our conceptual model.

This allowed us to propose the conceptual model for the new notion of Organization Value Chain 5.0 and its ecosystem components.

This study provides a detailed analysis of Industry 5.0, its technological elements and its relevance to creating Society 5.0, smart cities and digitalized value chains. It highlights the importance of stakeholder engagement and integration for effective digital industrial transformation.

Recent studies suggested that owner dynamic capabilities (ODCs) enabling public owners of megaprojects to activate, orchestrate and reorganize resources to uncertainties were beneficial to improving the project resilience of megaprojects. However, most of them pay insufficient attention to the specific context of long cycles and deep uncertainty in megaprojects, neglecting the causal complexity that different dimensions of ODCs and learning mechanisms interact with each other in terms of enhancing project resilience. Therefore, this study aims to systematically unveil the complex causality among ODCs, learning mechanisms and project resilience of megaprojects.

This study introduces a configurational perspective to explore how multi-dimensional ODCs combine to improve project resilience in megaprojects along with different organizational learning mechanisms and learning orientations. Based on 330 ODC events in 19 construction megaprojects, a multi-temporal crisp-set qualitative comparative analysis method is adopted to extract configurations of ODCs for project resilience improvement and unveil their evolution features over the whole megaproject lifecycle.

Six configurations are identified for improving project resilience in megaprojects, including cognition-dominant, cognition-deficient, transformation-dominant, innovation-driven, value-co-creation and exploitative-transformation configurations. The results also indicate that distinct megaproject stages appeal to corresponding ODC configurations for project resilience improvement under unique uncertain contexts.

This study not only makes theoretical contributions to the literature on dynamic capability and project resilience in the megaproject management field but also provides useful practical guidance for public owners of megaprojects to better utilize ODCs for project resilience improvement.

The purpose of the study is to demonstrate the influences of three dimensions of social capital (the structural, relational and cognitive dimensions) on five situated learning processes (institutionalization, socialization, knowledge articulation, experience accumulation and knowledge reuse) in projects.

Drawing on a cross sectional survey, data were drawn from 203 construction professionals in Ghana who have hands-on experience in managing projects. Partial least square structural equation modeling was used to conduct both confirmatory factor analysis and path analysis of the structural model of the relationship between these two constructs.

In relation to the research questions, all three dimensions of social capital have effects of the situating learning processes. However, the research’s key finding is that the relational dimension of social capital exerts much influence on the situated learning processes in projects, with the structural and cognitive dimensions of social capital exerting medium and small effects, respectively.

The study’s key finding implies that – addressing the “relational” conditioners that moderate project participants’ behaviour in social relationships is critical for increasing situated learning activity in projects. These must, however, be complemented by both structural and cognitive factors.

The research findings expand existing frontiers of knowledge by addressing the gap in the literature on the lack of practical demonstration of the influences exerted by the various dimensions of social capital on a situated learning activity in projects.