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The aim of the research is to reveal the role of internal motivations in the mechanism driving corporate social responsibility (CSR) strategy in construction corporations. A framework was constructed based on neo-institutional theory, and measurement scales were developed through interviews. Questionnaire surveys and hierarchical regression analysis were carried out to verify the framework in a sample of huge Chinese construction corporations. The results reveal the mediating and moderating roles of ethical leadership, managerial moral motivation, and managerial autonomy in driving CSR strategy, which will enrich the application of neo-institutional theory in future CSR research. Furthermore, this study developed indicators, scales, and analytical frameworks with full consideration of the theoretical generality and the industrial particularity of Chinese construction corporations, which deepened the understanding of the driving mechanism of CSR strategy in the construction industry.The findings have practical implications for HCCCs in terms of developing CSR strategy and ultimately improving their CSR performance.

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Purpose Many higher education institutions are investigating the possibility of developing predictive student success models that use different sources of data available to identify students that might be at risk of failing a course or program. The purpose of this paper is to review the methodological components related to the predictive models that have been developed or currently implemented in learning analytics applications in higher education. Design/methodology/approach Literature review was completed in three stages. First, the authors conducted searches and collected related full-text documents using various search terms and keywords. Second, they developed inclusion and exclusion criteria to identify the most relevant citations for the purpose of the current review. Third, they reviewed each document from the final compiled bibliography and focused on identifying information that was needed to answer the research questions Findings In this review, the authors identify methodological strengths and weaknesses of current predictive learning analytics applications and provide the most up-to-date recommendations on predictive model development, use and evaluation. The review results can inform important future areas of research that could strengthen the development of predictive learning analytics for the purpose of generating valuable feedback to students to help them succeed in higher education. Originality/value This review provides an overview of the methodological considerations for researchers and practitioners who are planning to develop or currently in the process of developing predictive student success models in the context of higher education.

PurposeThe declining attractiveness of construction industry to the new-generation onsite construction professionals (OCPs) in China can be the result of insufficient supply of what they desire at work. There is a lack of studies that make clear the work values of this cohort and the fit between their work value preferences and job supplies. Therefore, the purpose of this study is to address this issue.Design/methodology/approachThis study focused on Chinese new-generation OCPs. Work values and job supplies were measured by two rounds of questionnaire surveys. Factor analysis was implemented to identify work value types. Paired samples t-test, independent samples t-test and one-way ANOVA were performed to figure out work value preferences and degree of supplies–values (S-V) fit and compare them across subgroups.FindingsIntrinsic, “good time”, work-team-related, altruistic/prestigious and extrinsic work value types were identified. Chinese new-generation OCPs most valued work-team-related and intrinsic work aspects, while significant insufficient supply was relevant to intrinsic, extrinsic and “good time” aspects. Work value preferences and S-V fit showed significant differences among subgroups of gender, growth background, work rank and project type.Practical implicationsThe results provide insights for construction companies to practice work-value-based human resource management toward new-generation OCPs and make targeted measures to address the misfit between supplies and values experienced by these OCPs.Originality/valueThis study for the first time examined work values of Chinese new-generation OCPs. It opens a new perspective for research based on S-V fit theory that focused on industry level. The effects of demographic and professional variables on the work values and the degree of S-V fit were revealed. This study thus contributes to the extant literature of work values and S-V fit.