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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.

The objective of this research is to measure Chinese students' progress in gaining new vocabulary in Spanish at the B1 level after using the serious video game Guadalingo.

A group of 30 Chinese students participated in an experiment, in which 16 of them played Guadalingo; the other 14 were used as the control group. The experimental group played five lessons of the video game in a period of 10 days. Before and after the lessons, students were tested on their knowledge of the vocabulary from these units.

Results have shown that the use of Guadalingo helped these students to enhance their knowledge of the target vocabulary by 17.40% after the completion of the missions.

Based on our result, the use of video games seems to be a suitable and great support to the foreign language classroom, and the use of Guadalingo could be considered a valuable tool for this purpose.

This paper aims to explore the impact of flexible human resource management system (FHRMS) on employee innovation performance in Chinese context. The boundary conditions of employability and organizational identity are also discussed.

This study is based on 322 questionnaire survey from employees in China. The questionnaires were collected at two time points. This study used the method of multi-level linear model analysis for empirical test.

This study has three conclusions. First, FHRMS have a significant positive impact on employee innovation performance, with employability playing a mediating role. Second, organizational identity plays a moderating role between employability and employee innovation performance. Third, organizational identity moderates the mediating effect of a human source management systems on employee innovation performance through employability.

The results are helpful to open the “black box” of the influence of FHRMS on employees’ individual innovation performance. This study provides a reference for enterprises to establish flexible human source management system to improve employee innovation performance.

Discussion of the 2016 electorate has centered on two poles: results of public opinion and voter surveys that attempt to tease out whether racial, cultural, or economic grievances were the prime drivers behind the Trump vote and analyses that tie major shifts in the political economy to consequential shifts in the voting behavior of certain demographic and geographic groups. Both approaches render invisible a major development since the 1970s that has been transforming the political, social, and economic landscape of wide swaths of people who do not reside in major urban areas or their prosperous suburban rings: the emergence and consolidation of the carceral state. This chapter sketches out some key contours of the carceral state that have been transforming the polity and economy for poor and working-class people, with a particular focus on rural areas and the declining Rust Belt. It is meant as a correction to the stilted portrait of these groups that congealed in the aftermath of the 2016 election, thanks to their pivotal contribution to Trump's victory. This chapter is not an alternative causal explanation that identifies the carceral state as the key factor in the 2016 election. Rather, it is a call to aggressively widen the analytical lens of studies of the carceral state, which have tended to focus on communities of color in urban areas.

The extant literature mainly focuses on the antecedents and outcomes of envy at the individual level. Workgroups have become ideal units for research on envy given the ubiquitous teamwork in organizations. This study aims to examine whether, how and when envy climate can influence group performance.

The authors analyzed data collected in three waves from a sample of 72 groups with 475 team members in full-service hotels in China.

Envy climate was negatively associated with group performance via intragroup relationship conflict. Furthermore, competitive climate moderated the effect of envy climate on intragroup relationship conflict and the indirect effect of envy climate on group performance through intragroup relationship conflict.

The present research offers organizations valuable insights into how to minimize the climate of envy and competition within a group and relieve the relationship conflict that may damage group performance.

Drawing on a social functional perspective of emotions, this study enriches the envy research by conceptualizing envy climate as a collective perception and clarifying its effect on group performance. The authors extend the understanding of envy climate by showing how a climate of envy embedded in a group influences group performance and also explain when group members may be more likely to act in a destructive way to respond to such a climate.

Practical wisdom from Chinese classical traditions is still an enlightening resource for contemporary management. Based in traditional Chinese perspectives, this paper aims to explore the influence of ethical leadership and social capital on customer relationship.

The authors conduct a survey of senior executives in 215 Chinese companies. Structural model testing and hierarchical regressions are used to analyze the data.

The empirical analysis affirms the authors' hypotheses that both ethical leadership and social capital have significant influence on customer relationship.

The results imply that traditional Chinese perspectives on contemporary management research have a potentially important impact.

It may also be valuable for Chinese firms to incorporate classical traditions into their daily practice: to enhance ethical leadership and obtain more social capital.

This study is a modest step towards an integration of traditional perspectives into research on the role of ethical leadership, and social capital, in maintaining good customer relationship in China.

The purpose of this study is to quantify the supply chain flexibility for an Indian soap manufacturing firm and to measure its performance. The authors made an attempt to find key strategic and operational decision-making dimensions for developing effective supply chain flexibility environment.

The authors have extracted 11 supply chain flexibility dimensions through extensive literature review. The authors used a decision-making trial and evaluation laboratory (DEMATEL) to make causal analysis and prioritizing the dimensions. After DEMATEL analysis three major supply chain flexibility dimensions that seem to have significant amount of influence on supply chain performance of the firms were retained for further consideration. The authors have developed an excel-based template for quantitative assessment of flexibility performance indicators.

This study provides key enablers for the successful implementation of flexibility concepts in Indian soap manufacturing firms and gives a view how to measure the performance through designing template based on real data. This template can be used in other firms also by simply modifying the key attributes.

A flexibility index has been defined here with the purpose of assessing the level of flexibility vis-a-vis what is desired and is meant to be evaluated from time to time, to assess if the firm is improving its flexibility or not. The index assumes importance in view of the fact that it has been prepared based on feedbacks of both the upper and the lower management people of the firm engaged in policymaking and operations.

This study aims to identify the responses required to repair political trust in Tunisia and the differences between two key stakeholder groups, namely, politicians and voters.

A sequential mixed method study was adopted using two data sources: semi-structured interviews conducted with citizens and politicians; and media data from TV political talk shows. Data was collected over a three-year period following several key events that affected trust.

New responses were identified to repair political trust, and these were categorized using a trust repair framework. In addition to short- and long-term responses, a new category, swift response, was identified to resolve immediate political uncertainty. The role of the trustor (i.e. voters) in actively restoring trust was identified for the first time.

This study focussed on trust repair responses suggested by voters and politicians and not necessarily responses that were implemented by government or political parties during the period of study. The effectiveness of the suggested responses in repairing trust was not evaluated.

Identification of the responses required to repair trust with voters, how these differ over time, and according to different trust violations will help Tunisian politicians rebuild trust more effectively during election and non-election periods. Notably, differences highlighted between the responses suggested by voters and politicians suggest that politicians may not understand how to repair voter trust.

Contrary to previous studies that assume a trustor (the voter) is a passive observer, this research identified the proactive role that citizens play in the trust repair process.

In recent years, there has been growing interest in the use of stainless steel (SS) in reinforced concrete (RC) structures due to its distinctive corrosion resistance and excellent mechanical properties. To ensure effective synergy between SS and concrete, it is necessary to develop a time-saving approach to accurately determine the ultimate bond strength τ_u between the two materials in RC structures.

Three robust machine learning (ML) models, including support vector regression (SVR), random forest (RF) and extreme gradient boosting (XGBoost), are employed to predict τ_u between ribbed SS and concrete. Model hyperparameters are fine-tuned using Bayesian optimization (BO) with 10-fold cross-validation. The interpretable techniques including partial dependence plots (PDPs) and Shapley additive explanation (SHAP) are also utilized to figure out the relationship between input features and output for the best model.

Among the three ML models, BO-XGBoost exhibits the strongest generalization and highest accuracy in estimating τ_u. According to SHAP value-based feature importance, compressive strength of concrete f_c emerges as the most prominent feature, followed by concrete cover thickness c, while the embedment length to diameter ratio l/d, and the diameter d for SS are deemed less important features. Properly increasing c and f_c can enhance τ_u between ribbed SS and concrete.

An online graphical user interface (GUI) has been developed based on BO-XGBoost to estimate τ_u. This tool can be utilized in structural design of RC structures with ribbed SS as reinforcement.