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Guided by the conservation of resources theory, this study aims to present a comprehensive framework examining leadership, Guanxi, work-family conflict and work engagement. It specifically explores how group-level transformational leadership influences individual-level Guanxi and work-family conflict and how these factors, in turn, impact work engagement.

The study surveyed 473 teachers in the Klang Valley, Malaysia, and used hierarchical linear modelling.

The results reveal that transformational leadership directly enhances non-work relationships, reduces work-family conflict and indirectly predicts increased work engagement. This indirect influence occurs through the mediation of Guanxi and the work-family conflict. Notably, while stronger Guanxi is associated with greater work engagement in the professional sphere, it does not necessarily mitigate the work-family conflict in the personal domain.

These findings provide valuable insights into maintaining and enhancing work engagement by implementing transformational leadership through more effective channels, such as Guanxi and work-family conflict management.

The study examines the potential moderating effects of repeating purchase cues and product knowledge on the relationship between the varying consistency of the review set and causal attribution. This study also investigates how causal attribution correlates with the perceived misleadingness of the review set.

A scenario-based experiment was conducted with 170 participants to explore the relationship between the consistency of the review set and causal attribution and how repeating purchase cues and product knowledge moderates this relationship.

Findings suggest that inconsistent review sets lead to more product (vs reviewer) attribution than consistent review sets. The repeating purchase cues mitigate the negative relationship between the consistency of the review set and product attribution, whereas product knowledge mitigates the positive relationship between the consistency of the review set and reviewer attribution. Furthermore, the results indicate that high product attribution and low reviewer attribution are associated with low perceived misleadingness.

This study is novel because it examines the moderating effects of repeating purchase cues and product knowledge on the relationship between the consistency of the review set and causal attribution. It adds to the literature by shedding light on the causal attribution process underlying the formation of perceived misleadingness of online reviews. The findings of this study provide valuable insights for managers on how to enhance the positive effects of consistent review sets and mitigate the negative effects of inconsistent review sets.

Social media provides a convenient way to popularise first aid knowledge amongst the general public. So far, little is known about the factors influencing individuals’ adoption of first aid knowledge on social media. Drawing on the information adoption model (IAM), this study investigates the joint effects of cognitive factors (e.g. perceived information usefulness (PIU)), affective factors (e.g. arousal (AR)) and social factors (e.g. descriptive norms (DN)) on first aid knowledge adoption (KA) and examines their antecedent cues from the perspective of information characteristics.

The data were collected from 375 social media users, and the structural equation model was adopted to analyse the results.

The results indicate that PIU, AR and DN all have positive direct effects on first aid KA. Additionally, the study highlights the positive synergistic effect of AR and PIU. Furthermore, the study suggests that AR is determined by message vividness (MV) and emotional tone (ET), whilst DN are determined by peer endorsement (PEE) and expert endorsement (EXE).

Our research is groundbreaking as it delves into the adoption of first aid knowledge through social media, thus pushing the boundaries of existing information adoption literature. Additionally, our study enhances the IAM by incorporating emotional and social elements and provides valuable insights for promoting the spread of first aid knowledge via social media.

Based on the collective agentic perspective of social cognitive theory and supplemented by social support theory, this study aims to investigate how the entrepreneurial collective efficacy of entrepreneurial teams impacts team effectiveness. Specifically, this study hypothesizes that entrepreneurial collective efficacy is a critical factor affecting effectiveness through the mechanism of instrumental support to varying extents, depending on team size.

The hypotheses were tested on a Chinese sample of new venture teams (N teams = 81; N individuals = 335). A multisource questionnaire that included questions for team leaders and other team decision makers was designed. The data on entrepreneurial collective efficacy (six items) and instrumental support (four items) comprised the aggregate responses from all team members; the data on team effectiveness (seven items) was reported by team leaders.

The findings indicate that entrepreneurial collective efficacy is positively associated with team effectiveness through instrumental support, especially in small teams.

This study makes important contributions to the research related to exploring in uncertain environments (entrepreneurship) how (instrumental support) entrepreneurial collective efficacy impacts team effectiveness, as well as more particularly under what conditions (team size), all within the specific context of collectivistic cultures (China).

As the scale of mega transportation infrastructure projects (MTIs) continues to expand, the complexity of engineering construction sharply increases and decision-making sustainability faces severe challenges. Decision-making for mega transportation infrastructure projects unveils the knowledge-intensive characteristic, requiring collaborative decisions by cross-domain decision-makers. However, the exploration of heterogeneous knowledge fusion-driven decision-making problems is limited. This study aims to improve the deficiencies of existing decision-making by constructing a knowledge fusion-driven multi-attribute group decision model under fuzzy context to improve the sustainability of MTIs decision-making.

This study utilizes intuitionistic fuzzy information to handle uncertain information; calculates decision-makers and indicators weights by hesitation, fuzziness and intuitionistic fuzzy entropy; applies the intuitionistic fuzzy weighted averaging (IFWA) operator to fuse knowledge and uses consensus to measure the level of knowledge fusion. Finally, a calculation example is given to verify the rationality and effectiveness of the model.

This research finally constructs a two-level decision model driven by knowledge fusion, which alleviates the uncertainty and fuzziness of decision knowledge, promotes knowledge fusion among cross-domain decision-makers and can be effectively applied in practical applications.

This study provides an effective decision-making model for mega transportation infrastructure projects and guides policymakers.

This paper aims to propose a bed and breakfast (B&B) recommendation method that takes into account review timeliness and user preferences to help consumers choose the most satisfactory B&B.

This paper proposes a B&B ranking method based on improved intuitionistic fuzzy sets. First, text mining and cluster analysis are combined to identify the concerns of consumers and construct an attribute set. Second, an attribute-level-based text sentiment analysis is established. The authors propose an improved intuitionistic fuzzy set, which is more in line with the actual situation of sentiment analysis of online reviews. Next, subjective-objective combinatorial assignments are applied, considering the consumers’ preferences. Finally, the vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) algorithm, based on the improved score function, is advised to evaluate B&Bs.

A case study is presented to illustrate the use of the proposed method. Comparative analysis with other multi-attribute decision-making (MADM) methods proves the effectiveness and superiority of the VIKOR algorithm based on the improved intuitionistic fuzzy sets proposed in this paper.

Proposing a B&B recommendation method that takes into account review timeliness and user customization is the innovation of this paper. In this approach, the authors propose improved intuitionistic fuzzy sets. Compared with the traditional intuitionistic fuzzy set, the improved intuitionistic fuzzy set increases the abstention membership, which is more in line with the actual situation of attribute-level sentiment analysis of online reviews.

With the help of a quasi-natural experiment on Chinese policies, this study aims to understand the actual contribution of Smart City (SC) policies to the development of information and communications technology (ICT) in different cities. It also discusses the social and digital differences that such policies may generate, with a particular focus on the potential for exacerbating urban inequalities.

To achieve this, the study employs a principal component analysis (PCA) to develop an ICT development indicator system. It then employs a difference-in-differences (DID) model to analyze panel data from 209 Chinese cities over the period from 2007 to 2019, examining the impact of SC policies on ICT development across various urban settings.

Our findings show that SC policies have significantly contributed to the enhancement of ICT development, especially in ICT usage. However, SC policies may inadvertently reinforce developmental disparities among cities. Compared to less developed areas, the benefits of SC policies are more pronounced in economically booming cities. This is likely due to the agglomeration of the ICT industry and the strong allure of developed urban centers for high-caliber talent.

This study contributes to the related literature by explaining the role of SC policies in driving ICT development and by focusing on the often-overlooked impact of SC policies on urban inequality. These findings can provide guidance to policymakers on the need to recognize and address existing urban inequalities.

This study aims to seek to understand counterproductive knowledge behaviour (CKB) in higher education institutions (HEIs) by integrating knowledge hiding (KHi) and lack of knowledge sharing (LKS).

The current research uses a hybrid conceptual review combining the bibliometric study and conceptual review of 47 articles. The bibliometric analysis aimed to identify research maps, and the conceptual review sought to understand the current development of research fields.

The bibliometric analysis highlights essential summaries, such as the pioneering authors, seminal papers and conceptual maps. However, knowledge hoarding as a dimension of LKS appears in the niche theme. The conceptual analysis indicates three groups of factors contributing to KHi and LKS. Moreover, the study highlights the causal relation between both KHi as well as LKS and faculty member performance while proposing remedies derived from integrating the social exchange theory (SET) and conservation of resource (COR) theory.

The present study provides an integrated image of KHi and LKS in the HEI context, as well as its potential remedies by integrating SET and COR. The basis of this study is a literature review; thus, future studies are recommended to empirically explore the integration of KHi and LKS within the HEI context.

This research provides an overview for HEI policymakers to re-examine the critical role of institutional research as one of the considerations for evaluating and developing policies. Specifically, policymakers can reflect on all policy directions to determine whether there are any symptoms of CKB in the institutions. Moreover, stakeholders can find out the reason behind the non-optimal performance of faculty members regarding CKB and any mitigating factors.

Understanding CKB is crucial in managing HEI. This research provides a comprehensive image of KHi and LKS within HEI, especially in a collectivist culture.

The research aims to provide a nuanced understanding of the complex social, psychological and organizational factors that serve as the foundation driving academics' knowledge-sharing behavior (KSB) within an academic enclave.

A cross-sectional research design using the partial least squares structural equation modeling (PLS-SEM) approach was employed to examine the determinants of personality traits among tertiary academics in Malaysia in relation to their KSB. To this end, a self-administered survey was distributed to a sample group of 526 respondents.

It is evident that conscientiousness and agreeableness are the personality traits that play a significant role in promoting KSB among academics in higher learning institutions (HLIs). These personality traits are positively linked with academics' willingness to transfer and receive knowledge. In contrast, the personality trait of openness to experience does not significantly influence KSB.

This study has employed a four-item measurement for evaluating the three distinct personality traits. Despite employing a brief measurement tool, the study has demonstrated significant reliability and validity, particularly in terms of convergent and discriminant validity.

The present study has revealed that conscientiousness in academics is intimately linked with their KSB, which is of paramount importance in the output-based education system. Notably, agreeableness among academics also conveys a positive effect on knowledge sharing (KS) in HLIs, as it cultivates trust and helpfulness among individuals and facilitates the exchange of valuable tacit knowledge.

This research explores the relationship between personality traits and KSB among Malaysian academics in HLIs. The study adopts the theories of planned behavior (TPB) and social capital theory (SCT) as theoretical ground, providing a nuanced understanding of the underlying motivations and mechanisms driving academics' knowledge-sharing behavior within the unique socio-cultural context of Southeast Asia.

The purpose of this study is to determine the moderating effect of group affiliation (GA) while examining the relationship of corporate governance (CG) with firm performance (FP) and firm risk-taking (FRT).

The study employed a sample of 100 non-financial firms, selected randomly from the top 500 companies listed on the Bombay Stock Exchange (BSE) based on their market capitalisation for 2013–2022. The random effects and fixed effect models are employed for the analysis. Furthermore, the generalised estimating equations (GEE) population-averaged model is used for added robustness.

The results reveal that while strong CG improves FP, GA modifies the effect of CG on FP. Both GA and CG have beneficial effects, but their synergy is insignificant. However, in the context of CG and FRT, the study unveils that a strong CG is associated with a reduction in FRT, and this relationship is more pronounced for standalone firms.

To the best of the authors' knowledge, the present study is a maiden attempt to investigate the moderating effect of GA while examining the relationship of CG with FP and FRT.