Linked to innovation: Shaping an innovative climate through network intentionality and educators’ social network position

This study investigates whether educators’ cognitive and structural social capital is associated with perceptions of innovative climate in charter schools. We explore a new concept to assess educators’ cognitive social capital, namely network intentionality, meaning the extent to which an educator is intentional in connecting and interacting with others. We hypothesize that network intentionality (cognitive social capital) is related to the extent to which educators perceive their school’s climate to be innovative, but that this relationship is dependent on the educator’s position in their school’s social network (structural social capital). Findings suggest that the relationship between cognitive social capital and perceptions of innovative climate is partly mediated by structural social capital. In other words, those educators with high network intentionality, as evidenced by an orientation towards connecting others, also perceive the school’s climate as being more innovative, partly because this strong network intentionality is associated with more out-going relational activity. This work provides unique insights into the factors that may be associated with teacher collaboration in successful charter schools serving traditionally underserved populations, and suggests ideas for schools wishing to support teacher collaboration and innovation.     

Using PowerPoint Animations to Teach Operations Management Techniques and Concepts

This article examines the value of using complex animated PowerPoint presentations to teach operations management techniques and concepts. To provide context, literature covering the use of PowerPoint animations in business education is briefly reviewed. The specific animations employed in this study are identified and their expected benefits to students and faculty are discussed. Evidence of their perceived value to students and faculty is then presented.     

Selection procedures in sports: Improving predictions of athletes’ future performance

The selection of athletes has been a central topic in sports sciences for decades. Yet, little consideration has been given to the theoretical underpinnings and predictive validity of the procedures. In this paper, we evaluate current selection procedures in sports given what we know from the selection psychology literature. We contrast the popular clinical method (predictions based on overall impressions of experts) with the actuarial approach (predictions based on pre-defined decision rules), and we discuss why the latter approach often leads to superior performance predictions. Furthermore, we discuss the “signs” and the “samples” approaches. Taking the prevailing signs approach, athletes’ technical-, tactical-, physical-, and psychological skills are often assessed separately in controlled settings. However, for predicting later sport performance, taking samples of athletes’ behaviours in their sports environment may result in more valid assessments. We discuss the possible advantages and implications of making selection procedures in sports more actuarial and sample-based.