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Currently, many studies have shown an increasing interest in owner-dynamic capabilities (ODCs). Existing studies mainly focus on the dynamic capability basis and capability development within the owner organization, whereas they rarely analyze the capability mobilization within the network of participants in megaprojects. Therefore, this study aims to explain the interaction and evolution of the mobilization strategies of ODCs and the cooperative strategies of other participants.

This study develops a tripartite evolutionary game model to analyze the evolutionarily stable strategy of the owner, the reciprocal participants and the general participants. Results are numerically simulated with a validation case. The asymptotic stability of multiple group strategies is discussed under the replicator dynamic system.

This study suggests that resource complementarity significantly reduces the difficulty of mobilization. Moreover, these strategies are only effective with sufficient ODCs. The results indicate that reciprocal participants are more sensitive to the change in resource complementarity.

This study provides strategic guidance for mobilizing ODCs in megaprojects to better embrace uncertainty and stress, contributing to the dynamic capability literature with an evolutionary game approach. And new insight for the study of reciprocity preference in megaprojects is also provided.

Megaproject supply chains involve multiple layers of stakeholders, leading to complex relationships and risks. The role of social interactions within these networks is unexplored. Therefore, an analysis of construction supply chain risk management from the perspective of social networks is essential to identify related stakeholders, their relationships and the social network risk factors.

About 65 risk factors, identified from literature and interviews, informed the development of a questionnaire for the study. Online questionnaires administered in Ghana and South Africa produced 120 valid responses. Feedback from the responses was ranked and assessed to determine the overall social network risk levels using the Normalised Mean and Fuzzy synthesis analysis methods.

About 24 risk factors were identified and classified into six groups: Client/Consultant-related, Community-related, Government-related, Industry Perception-related, Supplier-related and Stakeholder Opportunism. The top five social network risks identified include bribery, supplier monopoly, incomplete design teams, poor communication and lack of collaboration.

The study provides detailed evaluations of social network risks in Africa, and the findings will help in developing strategies to mitigate supply chain disruptions caused by these challenges.

This study contributes to the literature on supply chain risk management by offering context-specific insights into the social network perspective of megaprojects in Africa, which differs from those in developed countries.

The purpose of this study is to examine the effect of technical skills, soft skills and social mobility skills on the perceived employability of Malaysian undergraduates in energy-focused universities. This study also aims to investigate the moderating effects of academic performance on such relationships.

To accomplish these objectives, this study employed partial least squares-structural equation modelling (PLS-SEM) to analyse data obtained from 247 Malaysian undergraduates from public and private energy-focused universities across Malaysia. The Human Capital Theory served as the overarching theoretical framework for the study.

The study reveals that even if an undergraduate has stellar grades, they will not help him/her to land a job if they lack basic technical and computing skills. This study also indicates that undergraduates’ current academic performance affects their perceived employability despite already possessing the necessary soft skills. Along with academic performance, social mobility skills can be a determining factor in how graduates see their own employability. This is because social mobility has a significant impact on graduates’ chances of finding gainful employment.

This study provides insights into how technical skills, soft skills and social mobility skills influence the perceived employability of Malaysian undergraduates, especially in energy-focused universities, and the role of various parties involved. These parties, such as higher education institutions, are the key players that can initiate strategies to enhance specific skills and steer a public conversation towards a more methodical strategy for boosting graduates’ employability for future employment. This research also sheds light on how to better prepare for emerging job opportunities in the energy sector.

The study examines the effect of technical skills, soft skills and social mobility skills on the perceived employability of Malaysian undergraduates in energy-focused universities for future employment among Malaysia’s universities’ graduates. By providing a multidisciplinary viewpoint, this study paves the way for future research partnerships among experts in higher education, researchers in related fields and career researchers.

Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention approach to handling innovation-induced conflicts that may hinder smooth implementation of big data technology in project teams.

This study uses constructs from conflict theory, and team power relations to develop an explanatory framework. The study proceeded to formulate theoretical hypotheses from task-conflict, process-conflict, relationship and team power conflict. The hypotheses were tested using Partial Least Square Structural Equation Model (PLS-SEM) to understand key preventive measures that can encourage conflict prevention in project teams when implementing big data technology.

Results from the structural model validated six out of seven theoretical hypotheses and identified Relationship Conflict Prevention as the most important factor for promoting smooth implementation of Big Data Analytics technology in project teams. This is followed by power-conflict prevention, prevention of task disputes and prevention of Process conflicts respectively. Results also show that relationship and power conflicts interact on the one hand, while task and relationship conflict prevention also interact on the other hand, thus, suggesting the prevention of one of the conflicts could minimise the outbreak of the other.

The study has been conducted within the context of big data adoption in a project-based work environment and the need to prevent innovation-induced conflicts in teams. Similarly, the research participants examined are stakeholders within UK projected-based organisations.

The study urges organisations wishing to embrace big data innovation to evolve a multipronged approach for facilitating smooth implementation through prevention of conflicts among project frontlines. This study urges organisations to anticipate both subtle and overt frictions that can undermine relationships and team dynamics, effective task performance, derail processes and create unhealthy rivalry that undermines cooperation and collaboration in the team.

The study also addresses the uncertainty and disruption that big data technology presents to employees in teams and explore conflict prevention measure which can be used to mitigate such in project teams.

The study proposes a Structural Model for establishing conflict prevention strategies in project teams through a multidimensional framework that combines constructs like team power conflict, process, relationship and task conflicts; to encourage Big Data implementation.

Value, also known as co-creation, is recognized as the outcome of collaborative efforts between both parties. However, knowledge is currently limited regarding the motivations and mechanisms driving customers to engage in co-production and value co-creation. Therefore, the current study aims to investigate co-production in enhancing value co-creation. Previous research has predominantly explored the linear effects of commitment and asset specificity on co-production. To expand on this foundation, our study goes a step further by including the potential quadratic effects of commitment and asset specificity on co-production. Although moderate levels of commitment and asset specificity may enhance co-production, higher levels are implied to possibly impede it. Considering that co-production requires collaboration between customers and service employees, this study includes the characteristics of service employees, such as self-monitoring and self-efficacy, identifying their moderating roles in aiding active co-production and ultimately enhancing the value co-creation.

We employed linear, nonlinear and hierarchical moderated regression analysis to test our hypotheses.

Our findings provide evidence for the positive linear effects and negative quadratic effects between commitment, asset specificity and co-production. The inverted-U relationships suggest an existing optimal commitment and asset specificity that maximize co-production. Results also suggest that co-production influences value co-creation and self-efficacy and self-monitoring positively moderates the relationship between co-production and value co-creation.

By applying the core provisions of S-D logic, this study contributes to marketing literature by analyzing the dyadic process of co-production. Dyadic data collection from both customers and service employees provides a comprehensive understanding of the co-production process, allowing academics to recognize service employees’ self-efficacy and self-monitoring that contribute to effective co-production and value co-creation in service processes.

In the context of Industry 4.0, intelligent construction technologies (ICT) represented by information technology and networking will undoubtedly provide new impetus to the development of the prefabricated building supply chain (PBSC), but they will also bring various potential risks. So far, there is a large lack of research on the comprehensive consideration of the risks associated with the intelligent transformation of PBSC based on the information sharing perspective, and the critical risks and interactions are still unclear, making it difficult to identify efficient risk mitigation strategies. Therefore, this paper aims to reveal the interactions between stakeholders and clarify the critical risk nodes and interactions in information sharing of PBSC (IS-PBSC), and propose targeted risk mitigation strategies.

Firstly, this paper creatively delineates the risks and critical stakeholders of IS-PBSC. Secondly, Data is collected through questionnaires to understand the degree of risks impact. Thirdly, with the help of NetMiner 4 software, social network analysis is conducted and IS-PBSC risk network is established to reveal critical risk nodes and interactions. Finally, further targeted discussion of critical risk nodes, the effectiveness and reasonableness of the risk mitigation strategies are proposed and verified through NetMiner 4 software simulation.

The results show that the critical risks cover the entire process of information sharing, with the lack of information management norms and other information assurance-related risks accounting for the largest proportion. In addition, the government dominates in risk control, followed by other stakeholders. The implementation of risk mitigation strategies is effective, with the overall network density reduced by 41.15% and network cohesion reduced by 24%.

In the context of Industry 4.0, ICT represented by information technology and networking will undoubtedly provide new impetus to the development of the PBSC, but they will also bring various potential risks. So far, there is a large lack of research on the comprehensive consideration of the risks associated with the intelligent transformation of PBSC based on the information sharing perspective, and the critical risks and interactions are still unclear, making it difficult to identify efficient risk mitigation strategies.

Based on the results of risk network visualization analysis, this paper proposes an ICT-based IS-PBSC mechanism that promotes the development of the integration of ICT and PBSC while safeguarding the benefits of various stakeholders.

Based on the job-demands resources (JD-R) model and the self-determination theory (SDT), this paper aims to explore team empowerment (TEMP) as a mediating mechanism through which team climate (TC) marked by innovativeness, cohesion and trust and knowledge management (KM) in teams.

Using a convenience sampling method, data were gathered from 246 employees of Tunisian knowledge-intensive firms (KIFs) and involved within 69 R&D teams. The partial least square-structural equation modeling approach through SMART PLS 3.2 software was used to evaluate the constructs’ psychometric properties and hypotheses. The mediating effect in the model was evaluated through the non-parametric bootstrapping method.

Results highlight that TC marked by innovativeness, cohesion and trust represents a key team contextual antecedent promoting TEMP and KM in teams. In turn, TEMP, as a critical intrinsic task motivation factor, is revealed as a driver of KM practices. This research demonstrates that TEMP partially mediates the relationship between TC and KM in teams.

This study pioneers the examination of TEMP’s mediating role between a TC marked by innovativeness, trust and cohesion and KM. By applying insights from the JD-R model and SDT to team-level dynamics, it uniquely positions TEMP as an intrinsic motivational factor explaining the mechanism through which the contextual resources provided by a supportive TC promote KM practices. It provides practical insights for KIFs’ managers through highlighting how intrinsically motivated teams of knowledge workers, empowered by a cohesive, innovative and trust-based TC, can effectively navigate the challenges inherent in knowledge-intensive teamwork, leading to enhanced KM practices.

Political factors play a crucial role in China's initial public offering (IPO) market due to its distinctive institutional context (i.e. “economic decentralization” and “political centralization”). Given the significant level of IPO underpricing in China, we examine the impact of local political uncertainty (measured by prefecture-level city official turnover rate) on IPO underpricing.

Using 2,259 IPOs of A-share listed companies from 2001 to 2019, we employ a structural equation model (SEM) to examine the channel (voluntarily lower the issuance price vs aftermarket trading) through which political uncertainty affects IPO underpricing. We check the robustness of the results using bootstrap tests, adopting alternative proxies for political uncertainty and IPO underpricing and employing subsample analysis.

Local official turnover-induced political uncertainty increases IPO underpricing by IPO firms voluntarily reducing the issuance price rather than by affecting investor sentiment in aftermarket trading. These relations are stronger in firms with pre-IPO political connections. The effect of political uncertainty on IPO underpricing is also contingent upon the industry and the growth phase of an IPO firm, more pronounced in politically sensitive industries and firms listed on the growth enterprise market board.

Local government officials in China usually have a short tenure and Chinese firms witness significantly severe IPO underpricing. By introducing the SEM model in studying China IPO underpricing, this study identifies the channel through which local government official turnover to political uncertainty on IPO underpricing.

Due to the close connection between urban cluster and carbon emissions (CEs) but a lack of study on it of the construction industry, this paper aims to explore the relationship between the polycentric spatial structure (PSS) of the urban clusters and CEs of the construction industry (CECI).

This research uses panel data of 10 Chinese urban clusters from 2006–2021, calculates their PSSs in the aspects of economy and employment and adopts a panel regression model to explore the effect of the spatiotemporal characteristics of the PSSs on the CECI.

First, the CECI in 10 Chinese urban clusters showed a rising trend in general, and the CECI in the Yangtze River Delta (YRD) was much higher than those in the rest of urban clusters. Second, both Shandong Peninsula (SP) and Guangdong-Fujian-Zhejiang (GFZ) exhibited high degrees of polycentric characteristics, while Beijing-Tianjin-Hebei (BTH) showed weaker degrees. Third, the results demonstrated that the polycentric development of urban clusters did not help reduce the CECI but rather promote the CE. The polycentric index, considering the linear distance from the main center to sub center, had a more significant impact on the CECI.

Previous studies have investigated the impact of urban spatial structure (USS) on CEs; however, few of them have studied in the field of construction industry. Moreover, most research of CEs have concentrated at the national and provincial levels, with fewer studies on urban clusters. This paper contributes to this knowledge by investigating how the PSS of urban cluster influence the CECI.

The research examines how the principle of Dharma can be included in the Indian National Education Policy (NEP) 2020. The study seeks to know how Dharma as an educational framework can be infused with contemporary education to promote moral and ethical development as well as intellectual growth among students in India.

This research uses qualitative analysis of NEP 2020 documents and literature related to Indian Knowledge Systems (IKS) and the concept of Dharma. It analyses the philosophical bases behind NEP including traditional texts like Vedas, Upanishads, among others. Moreover, this study also evaluates how current Dharma teachings are implemented into curriculum by assessing its present status of incorporation as a part of Indian Knowledge System.

This research has found that national educational reforms have considered many traditional Indian beliefs and values, but they have not done enough when it comes to incorporating Indian Knowledge System and the concept of Dharma into practice through the curriculum. The paper advocates for a system that is grounded on morals, thus blending the current learning standards with cultural heritage. These findings call for continuous endeavouring in order to embed ethical and moral dimensions of Dharma across all levels within India’s education systems.

The integration of Dharma and IKS in education can enhance the development of well-rounded individuals who are not only intellectually competent but also ethically and morally grounded. This strong foundation of Dharma will also act as a personal and professional guide. Educators and policymakers can use these insights to design curricula that promote holistic growth, aligning with both global educational standards and cultural values.

This paper examines the philosophical and ethical foundation of NEP 2020 instead of only considering its pedagogical and skill-enhancement characteristics, thereby giving a fresh viewpoint. It contributes to the discussion on educational reforms in India by highlighting how present educational needs should be linked with traditional values. The research shows that the concept of dharma can help learners develop holistically so that they can meet present-day problems without losing touch with timeless morals.