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Considering the substantial benefits derived from the use of Building Information Modeling (BIM) in construction projects, governments and its related sectors have introduced mandatory policies requiring the use of BIM. However, little is known about the impact of mandatory policies on BIM-based project performance. Therefore, the purpose of this paper is to provide a systematical understanding on the impact of policy interventions on the implementation practice of innovative technologies.

This paper utilizes the propensity score matching and difference in differences (PSM-DID) method to investigate the impact of policy interventions on BIM-based project performance. Using the panel data collected from 2015 to 2021 in the Hong Kong construction industry, this paper explores the impact of the first mandatory BIM policy on the BIM-based project performance of three key stakeholders.

The subjective BIM performance and BIM return on investment (ROI) have significantly improved after implementing the mandatory BIM policy. The promotion effect of mandatory BIM policy on BIM-based project performance gradually increases over time. Moreover, the promotion effect of mandatory BIM policy on BIM performance shows significant heterogeneity for different stakeholders and organizations of different sizes.

This study examined the impact of policy interventions on BIM-based project performance. The research findings can provide a holistic understanding of the potential implications of innovative mandatory policy in performance improvement and offer some constructive suggestions to policymakers and industry practitioners to promote the penetration of BIM in the construction industry.

Neglecting to wear a safety helmet can result in serious injuries at construction sites, but the cause of such unsafe behavior has not been fully understood. Therefore, the purpose of this paper is to provide a means of systematically understanding on the causes of non-helmet use behaviors at construction sites.

This paper utilizes the system dynamics (SD) modeling to portray the construction system works at project, management and individual levels to understand the relative importance of safety climate and productivity pressures. A real-time helmet use behavior tracking system (the Eye on Project (EOP)) is developed to provide an objective record of helmet use practices. Using the data collected from the EOP, the proposed SD model can be calibrated to simulate the influence of safety climate and productivity pressures on the non-helmet use behaviors of construction workers.

The data collected from 91 responses through the questionnaire survey were utilized to develop the SD model, which consists of two balancing loops and two reinforced loops. The mean absolute percentage error is further used to evaluate the model. The results show that a positive safety climate significantly reduced the rate of non-helmet use behavior.

This study divided the primary contributors of non-helmet use behavior into three levels for the SD model development. The SD model can be used to develop policies for mitigating helmet misuse, which in turn improves the safety performance of construction sites.

The purpose of this paper is to explore the coordination mechanism of cost sharing for green food production and marketing between a food producer and a supplier who both contribute to the sales of green food.

This paper first develops demand functions for both a food supplier and a producer, considering their influence on green degree of food and associated consumers’ acceptances. Then, cost-sharing contracts-based game models are proposed. At last, regarding to optimal supply chain profits and green performance, the proposed contracts and the non-coordination situation are compared and tested by a real case.

When green cost is only shared by one side, the cost-sharing contracts cannot optimally coordinate the food supply chain, but it can improve profits for both the supplier and producer. When consumers’ sensitivity to the green degree of food increases, a mutual cost-sharing contract will bring more profits for both the supplier and producer than those under the non-coordination mode in a decentralized supply chain situation. A real case verifies the conclusions.

The models are in complete information, and the market demand is assumed to be linear to sales price. Mutual cost sharing is only for material processing and food production, which can be extended to include sharing for sales cost. Coordination ideas on the proposed contracts development and solutions for optimal decisions can be applied in the other industries.

The study shows that coordination between a supplier and a producer is needed to improve the food supply chain’s green performance.

This paper first extends the existing profit functions by considering the green efforts of both a supplier and a producer as well as their effects on green degree of products and consumers’ acceptances to the green degree.

The purpose of this study is to investigate the sealing performance of S-CO₂ dry gas seals (DGSs) by considering the effects of pressure-induced deformation, thermal deformation and coupling deformation.

A hydrodynamic lubrication flow model of S-CO₂ DGS was established, and the model was solved using the finite difference and finite element methods. The pressure-induced deformation and thermal deformation of the sealing ring, as well as the sealing performance under the effects of pressure-induced deformation, thermal deformation and coupling deformation, were obtained.

The deformation of the sealing ring is mainly thermal deformation. The influence of pressure-induced deformation on leakage and gas film stiffness is greater than that of thermal deformation and coupling deformation. However, thermal deformation has a greater impact on friction torque and minimum film thickness than pressure-induced deformation and coupling deformation. The influence of deformations on sealing performance is important.

The sealing performance of S-CO₂ DGSs was analyzed considering the effect of pressure-induced deformation, thermal deformation and coupling deformation, which can provide a theoretical basis for S-CO₂ DGS optimization design.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2023-0120/

This paper aims to investigate whether close auditor-client relationships affect audit quality over the tenure of the audit partner and the potential role of partner rotation in mitigating this effect.

Using the Chinese mandatory audit partner rotation setting, the authors identify the existence of a close auditor-client relationship if the audit partner tenure with a client is larger than the audit firm tenure with that client. The sample period (1998–2009) is divided into voluntary and mandatory rotation periods when examining the effects of audit partner tenure on audit quality for the normal and close auditor-client relationship subsamples, respectively. The authors also conduct a propensity score matching analysis to address a selection issue.

The paper finds that under the voluntary partner rotation regime, audit quality decreases with audit partner tenure for the subsample with close auditor-client relationships, whereas this effect is not shown in the normal relationship subsample. However, audit quality no longer declines with audit partner tenure under the mandatory partner rotation regime.

This is the first study that directly examines the effect of audit partner tenure on audit quality associated with close auditor-client relationships under the voluntary and mandatory partner rotation regimes.

The purpose of this paper is to investigate the strategic profiles and differences across globally leading business schools.

This paper used the concepts of strategic group identity and domain consensus to examine the differences across the business schools. Cluster analysis is applied to identify strategic groups among 82 global schools from the USA, Canada, Europe, Asia and Australia.

Ten strategic groups – essentially similar strategic “clusters” – are identified by the clustering analysis. The results demonstrate that the groups do have different resource and reputation profiles.

Future research can improve the research base by collecting data on financial variables such as endowments, providing metrics by which a school's efficiency can be assessed, or collecting longitudinal data. Furthermore, a form of cognitive strategic mapping could be achieved through survey and interview mechanisms in order to highlight the perspectives of deans and senior managers of business schools.

This research contributes to the literature in two aspects. First, this research provides a clear mapping of the strategic “bands” across globally branded business schools. The results are highly timely in today's debate about the nature and future of business schools. Second, this research demonstrates that strategic group theory can be applied in the business school context.

Using panel data of 11324 firms in China from 1996 to 1999, the study finds that FDI tends to generate positive technology spillovers to domestic firms within the same industry, but adversely affect productivity of domestic firms in other industries. It is also found that both the positive and the adverse effects are more significant at the local than the national level. Evidence from China thus suggests that FDI technology spillovers are in favor of domestic firms within the same industry rather than domestic firms in other industries, and are most likely to affect domestic firms within the same locality. The finding has significant implications for the study of the interaction between MNEs and local firms in emerging markets.

The purpose of this paper is to provide a short review of tourism forecasting literature and general summary of the trends and developments in tourism forecasting and point out directions for future research in the next 75 years.

This is a general literature overview.

Key trends are identified for next 75 years.

First overview in tourism forecasting that provides foresight on long-term future trends (over next 75 years).

This research aims to explore the nature of Chinese students' mental health information needs and to identify the online resources they use to meet those needs.

Data was collected from three Chinese research-oriented universities using semi-structured interviews and a survey. Twenty-five university students with varied backgrounds were selected for semi-structured interviews to explore the triggers and nature of their needs. Then, printed and online questionnaires were distributed to undergraduate and postgraduate students and 541 valid responses were processed for descriptive statistical analysis and variance analysis.

The following findings were incurred. First, the triggers of university students' mental health information needs mainly are mental health being in the news, personal interest in gaining mental health knowledge, mental health issues, required formal learning and preparation for mental health counselling. Second, eleven types of information are used, with an emphasis on employment pressure, study stress and self-understanding. Third, mental health information needs differ with mental health status and some social-demographic factors (including gender, urban or rural origin and educational stage). Fourth, information needs can be characterized as dynamic; complex and diverse but concentrated on a few types; ambiguous and hard for participants to define; private; stigmatized; self-dependent and substitutable. Fifth, Internet sources used to meet such needs are mainly search engines, Question and Answer platforms, public social media platforms. Finally, a model of mental health information needs was built based on the above findings to map the whole process from what triggers a need, to the content and characteristics of information need, and online resources used to meet those needs.

The paper provides suggestions for university mental health services in developing more tailored knowledge contents via effective delivery methods to meet diverse needs of student groups.

This research is novel in using empirical data to build a holistic model that captures the context and the nature of mental health information needs of university students.