Decision Support for Team Staffing: A Probabilistic Approach for Multilevel Fit

Jochen Malinowski

feb. de 2012 · ibidem-Verlag / ibidem Press

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How can the selection of individuals to configure teams be improved with the help of information technology? Due to organizational trends, team-based work structures gain importance and increase the demand for staffing highly effective teams. However, existing human resource management systems have often not yet been adapted to support HR decision makers in this task and IS support for team staffing is rather scarce. Existing systems only consider whether a person has the required technical skills and abilities for a job. Those systems (1) are not able to capture the latent aspects that typically underlie personnel selection decisions, (2) do not consider candidate preferences and (3) especially neglect to consider the match between the person and the team members in terms of interpersonal compatibility.This book presents a decision support system based on an automated recommendation approach for providing a pre-selection of candidates that fit best with a specific job and with future team members. The system contributes to literature by proposing an IS-supported approach for the selection of individuals for teams and to practice by offering time and cost savings for HR professionals.

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Dr. Jochen Malinowski submitted his dissertation thesis at the Institute of Information Systems, School of Business and Economics at Goethe University in Frankfurt, Germany. He holds a Master in Information Systems from Essen University in Germany and has worked as IT consultant for several years, with a focus on IT Business Alignment. His current research interests are in the area of Human Resource Management, E-Recruiting and Team Staffing. His research has been published in various international conferences and journals.