OBJECTIVE This article presents a model for predicting complex collaborative processes as they arise in one-of-a-kind problem-solving situations to predict performance outcomes. The goal is to outline a set of key processes and their interrelationship and to describe how these can be used to predict collaboration processes embedded within problem-solving contexts. BACKGROUND Teams are increas...

Self-directed work teams (SDWTs) often result from reengineering and process innovation efforts as well as recent movements to `downsize', or ` ̄atten' organizations. Information systems (IS) departments have not been insulated from these trends. In spite of the rising interest in these teams, little is known about them in knowledge work settings like IS. Past research in blue-collar contexts su...

Partially distributed global teams form an important work structure in software development projects. However, little is known about the challenges such team structures create in supporting team members' motivation and maintaining member job satisfaction. This study investigates the effects of leader delegation, task significance and trust between local and distributed members of a team on team...

Dispersed, cross-functional development teams—a particular type of virtual team—confront a wide range of knowledge-based challenges in their dispersed work. Encompassing diverse sources of task-relevant knowledge, such teams present rich opportunities for exchanging and combining knowledge—activities at the heart of an organization’s ability to innovate (Grant 1996; Schumpeter 1934). Yet empiri...

Work organization and team membership is highly complex for modern workers. Teams are often dynamic as personnel change during a project. Dynamic team members have to be actively recruited and personnel changes make it harder for participants to retain group focus. Workers are often members of multiple groups. Though prior work has identified the prevalence of multi-teaming and dynamic teams, i...

This work continues our former study on extracting service process models from location data. We extend our former work for teams of professionals working in the process. A model for the teams is required in our analytics for the optimization of team based processes.