The prosperity of the engineering industry is the main driving force of the country’s economic development, and the smooth operation of engineering enterprises is the premise for ensuring the prosperity of the engineering industry. This study demonstrates the four dimensions of organization, leadership management, employee identification, and employee involvement, discusses the four components involved (Corporate Culture, Paternalistic Leadership, Organizational Commitment, Job Involvement) and studies their interrelationships and mutual influences. A comprehensive literature review not only makes the four components clearer but puts forward eight hypotheses. Prior to the comprehensive survey analysis, a pilot study was conducted for experienced practitioners in the industry and 311 valid questionnaires were collected. Using IBM SPSS and IBM SPSS AMOS software, the questionnaire data were analyzed by constructing a structure equation, and the results show that: (1) corporate culture is positively related to the paternalistic leadership style and organizational commitment; (2) The paternalistic leadership style is positively correlated with the organizational commitment; (3) The organizational commitment and job involvement are positively correlated; (4) Organizational commitment has an intermediary effect between corporate culture and job involvement; (5) There is no positive correlation between corporate culture and paternalistic leadership style, on the one hand, and job involvement, on the other; (6) The intermediary effect of paternalistic leadership is not significant between corporate culture and job involvement.

Purpose: As construction projects grow in complexity, integrating digital technologies with collaborative delivery models is crucial for improving project outcomes. This study explores the interaction mechanisms between integrated project delivery (IPD) and digital management platforms (DMP), addressing how IPD enhances DMP functionality and the moderating role of project complexity (PC). It aims to provide theoretical insights and practical strategies for optimizing digital construction management. Design/methodology/approach: This research employs structural equation modeling (SEM) and multi-level moderation analysis to examine the coupling relationship between IPD and DMP. A survey-based empirical study was conducted, analyzing the mediating roles of information symmetry (IS) and risk-sharing mechanisms (RSM), as well as the moderating effect of PC on these relationships. Findings: The results indicate that IPD significantly enhances DMP performance by improving information transparency and resource integration. IS and RSM partially mediate this relationship, collectively amplifying IPD’s impact on DMP. PC positively moderates the direct effect of IPD on DMP, strengthening collaboration under high complexity. However, it negatively moderates the mediating effect of RSM, suggesting diminishing effectiveness of risk-sharing in complex environments. Originality/value: This study advances theoretical understanding by systematically linking process-driven project delivery with technology-driven platforms. It provides practical insights into optimizing digital collaboration frameworks, refining risk-sharing mechanisms, and adopting complexity-adaptive strategies. The findings contribute to both digital construction management and project delivery efficiency, supporting industry-wide digital transformation.

Purpose: Safety risks on construction sites are dynamic and context-specific, yet formal training often fails to comprehensive address these real-time challenges effectively. As a result, informal safety knowledge transfer (ISKT) among workers plays an increasingly critical role. This study investigates how social integration (SI) among construction workers enhances ISKT and examines the mediating roles of cognitive diversity (CD) and cross-departmental collaboration (CDC) in this process. Design/methodology/approach: A mixed-methods approach was employed, including a survey of 412 construction workers in Shandong Province, China. Structural equation modeling and principal component analysis were used to analyze the relationships between SI, ISKT, CD, and CDC. This method identified direct and indirect effects and the mediating roles of CD and CDC in the SI–ISKT relationship. Findings: The results reveal that SI significantly enhances ISKT by fostering trust, communication, and collaboration among workers. CD facilitates the transformation of tacit safety knowledge, while CDC strengthens the organizational context for knowledge sharing across departments. These mechanisms create an informal safety knowledge network addressing on-site safety risks. CD and CDC act as complementary mediators, with CD dynamically enhancing SI and CDC strengthening ISKT at an organizational level. Originality/value: This study provides a socio-cognitive framework linking SI with ISKT in construction settings. By integrating individual and organizational factors, it offers actionable insights for optimizing safety management systems. The findings highlight the value of leveraging SI, CD, and CDC to foster adaptive and collaborative safety practices, contributing to safer and more efficient construction environments.

Purpose: Megaprojects face evolving and tightly coupled risks that require continuous monitoring, contextual interpretation, and cross-organizational coordination. This study examines how AI–Digital Twin synergy, defined as the integration of AI-enabled analytics with digital twin-based representation and simulation, supports dynamic risk management through a governance-moderated coordination mechanism. It further investigates the mediating roles of risk contextual intelligence and decision adaptiveness, and the moderating role of inter-organizational governance maturity. Design/methodology/approach: A survey-based empirical study used data from 323 professionals involved in megaproject risk management across multiple project types, regions, and organizational roles. Structural equation modeling (SEM) was used to test the hypothesized relationships among AI–Digital Twin synergy, dynamic risk management performance, risk contextual intelligence, decision adaptiveness, and inter-organizational governance maturity. Findings: AI–Digital Twin synergy significantly improves dynamic risk management performance in megaprojects. This effect operates primarily through a strengthened shared understanding of complex risk contexts. Risk contextual intelligence serves as a key mediator, whereas decision adaptiveness does not emerge as an independent mediator. Inter-organizational governance maturity further moderates these relationships by shaping the extent to which AI–Digital Twin synergy translates into dynamic risk management performance. Originality/value: This study advances research on megaproject risk governance by developing and empirically examining a governance-moderated coordination mechanism through which AI–Digital Twin synergy supports dynamic risk management. It reveals how digital capabilities translate into coordinated risk management outcomes in complex inter-organizational environments and offers practical implications for improving risk governance in megaprojects.

Ensuring safety in the engineering and construction sector requires sustained improvement in workers’ on-site practices. Although virtual reality (VR) training has shown promise in enhancin... Practical ApplicationsVirtual reality technologies are increasingly utilized for safety education, yet it is imperative for construction managers to comprehend that high-quality simulations alone d...