Collaborative information technology moderation in dynamic teamwork with team member departure
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The objective of this dissertation study is to provide the theoretical foundation for collaborative information technology moderation on team performance and give empirical evidence to support this relationship. The model provided in this study is supported by analytical proofs for the proposed hypotheses to define relationships among constructs in this research including departure (reduction in the number of team members), collaborative information technology functionality, transactive memory strength, and team performance. This research offers a theory that utilizes transactive memory systems (TMS) to examine the departure problem. The main research question is: Can collaborative information technologies (CIT) alleviate negative effects of departure? The theory in this study is structured around the indicators of TMS: specialization, coordination, and credibility. Findings showed that CIT functionality level plays a role in enhancing the group performance. This role is not direct but instead, is a moderation effect that alleviates the negative departure impact. In absence of departure, CIT impact can be confusing as it can be either positive or negative. My analytical results explain why information systems literature has had conflicting arguments on the role of technology. I propose that particular dynamic events and incidents, such as employee departure, help us understand the impact of CIT more clearly. Moreover, I employ transactive memory theory to explain how individuals develop and exchange knowledge in a group and how skills and knowledge can be lost due to departure. I also explain why and how team performance benefits from CIT when departure occurs.