Which are the Most Effective Measures for Improving Employees’ Security Compliance?

Employees’ compliance behavior with information security policies has been extensively researched yet. In particular, many studies identified and explained measures that increase employees’ security compliance such as trainings and controls. Although the identification and explanation of these measures is valuable for managers, these findings are insufficient. Since managers need to balance limited resources, they need to be able to prioritize and invest in the most effective measures for improving employees’ security compliance. Therefore, to complement extant research, we survey 332 employees in an organization that has established 15 security measures. Our results provide managers with a quantitative assessment of these 15 security measures. Furthermore, we discuss its implications and provide five specific recommendations for managers. Besides, results may also be valuable for theorists because they show which types of security trainings are perceived by employees to be more effective than others

The Effect of Recommender Systems on Users’ Situation Awareness and Actions

Many organizations are implementing recommender systems with the expectation to influence users’ actions. However, research has shown that poorly designed recommender systems may be counterproductive. For instance, if a recommender system provides too many recommendations, users cannot focus on relevant recommendations anymore. To tackle this challenge, recommender systems need to be balanced and adjusted to the processes in which they shall support users. Only designed correctly, recommender systems may influence users’ situation awareness and, ultimately, enable them to perform informed actions. Research has shown that users’ situation awareness depends on users’ elaboration. Therefore, we draw on the Elaboration Likelihood Model to conceptualize recommendation velocity and recommendation faithfulness as two variables that influence users’ situation awareness. Furthermore, since research identified process automation as a major antecedent of situation awareness, we conceptualize process automation as a third influencing variable. Finally, we develop a conceptual research model and outline our next steps

Designing an Analytics Platform for Professional Sports Teams

Professional sports is an area with huge economical and societal impact. However, so far it has received rather little attention by information systems research. Therefore, we design an Analytics Platform for Professional Sports Teams. We introduce Sports Analytics as an interdisciplinary research field and establish a design science research project. As part of this project, we first explore three professional sports teams and theorize meta-requirements for our platform. Second, we propose design principles that indicate how the proposed meta-requirements may be addressed. Third, we develop a prototypical web application that indicates how the proposed design principles may be instantiated. Finally, we evaluate the application with two professional sports teams and a global software vendor. As part of this evaluation, we focus on relevance and feasibility of the proposed Analytics Platform for Professional Sports Teams. We conclude this article by discussing its implications

The Effect of User Adaptation on the Effective Use of Enterprise Systems

Most of the cost of information system implementation projects is attributable to the post-adoption phase. Thus, an effective use of the implemented system is necessary to justify the expense. It has been theorized that user adaptation can help to increase the level of effective use of a system. Changes to an enterprise system or to the individual’s tasks with an enterprise system are likely to trigger user adaptation. Yet the effect of user adaptation on effective use of an enterprise system is still widely unknown. We conducted a longitudinal case study to explore the phenomenon and develop a research model to measure the effect of user adaptation on the effective use of an enterprise system. The extension of the nomological network of the concept of effective use by an integration of the effect of user adaptation on effective use will be the main contribution of our research