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Cross-docking is a supply chain distribution and logistics strategy for which less-than-truckload shipments are consolidated into full-truckload shipments. Goods are stored up to a maximum of 24 hours in a cross-docking terminal. In this chapter, we build on the literature review by Ladier and Alpan (2016), who reviewed cross-docking research and conducted interviews with cross-docking managers to find research gaps and provide recommendations for future research. We conduct a systematic literature review, following the framework by Ladier and Alpan (2016), on cross-docking literature from 2015 up to 2020. We focus on papers that consider the intersection of research and industry, e.g., case studies or studies presenting real-world data. We investigate whether the research has changed according to the recommendations of Ladier and Alpan (2016). Additionally, we examine the adoption of Industry 4.0 practices in cross-docking research, e.g., related to features of the physical internet, the Internet of Things and cyber-physical systems in cross-docking methodologies or case studies. We conclude that only small adaptations have been done based on the recommendations of Ladier and Alpan (2016), but we see growing attention for Industry 4.0 concepts in cross-docking, especially for physical internet hubs.

“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

Purpose – This chapter explores how select “evidence-based” police scholars act as gatekeepers to research opportunities, in Canada, thus impeding critical research that pertains to Black communities.

Methodology/Approach – Using the critical race method of counter-storytelling, the following narrative demonstrates how race and racism may play a role in the collection and dissemination of research that examines racial bias in Canadian policing. This methodology aims to refute the notion of critical objectivity, which is often used to promote the principles of evidence-based policing (EBP).

Findings – Findings suggest that through various powers and levels within both the policing and academic community, a select number of scholars have influence over Canadian policing research that explores racial bias and discrimination. As such, research that may help to develop effective and efficient policing programs to address racial bias, is thwarted.

Originality – No Canadian study explores anti-racist training programs or evaluates their effectiveness. This chapter demonstrates that this may be the result of gatekeeping. The following chapter provides insight into how this is done within EBP circles.

This study aims to initiate an investigation into the drop-out rate from building information modelling (BIM) courses.

During 2017-2018, BIM courses (16 weeks) have been developed as active learning modules. Peer instruction was used to engage students and improve the overall student’s performance. Students’ activity data were captured and analysed based on study groups and suggested study module completion dates.

By mapping students’ activity data against suggested completion date at various assessment milestones revealed a possible degradation of motivation throughout the course which, in turn, may have been a possible cause of drop-out.

This paper presents ongoing research and a preliminary understanding about peer instruction effectiveness in BIM-related subjects as high intensity courses. It investigates whether a student’s active participation can improve their motivation to acquire a subject’s learning outcomes and reduce the drop-out.

The peer instruction methodology that is used here is quite universal and can be successfully applied to various other subjects to increase the student’s involvement in the course.

Results are drawn based on students’ involvement at the high intensity course and show the gradual increase of a learner’s motivation once they get continuous support from fellow learners and a teacher.