Decentralizing knowledge: managing knowledge work in a software engineering firm |
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| Institution: | 1. Department of Innovation Engineering and Management, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden;2. Telia Carrier and Networks and FENIX Research Program, Stockholm School of Economics, Stockholm, Sweden;3. Volvo Car Corporation and FENIX Research Program, Chalmers University of Technology, Gothenburg, Sweden;1. Spatial Dynamics Lab, University College Dublin, Belfield, Dublin 4, Ireland;2. Korea National Industrial Convergence Center, Korea Institute of Industrial Technology, 143 Hanggaul-ro, Sangnok-gu, Ansan-si, Gyeonggi-do, 15588, South Korea;1. Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands;2. Brain Center Rudolf Magnus and Center of Excellence for Rehabilitation Medicine, University Medical Center Utrecht and De Hoogstraat Rehabilitation, Utrecht, The Netherlands;3. Department of Rehabilitation Medicine, Center for Rehabilitation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands;4. Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neurosciences, Maastricht University, Maastricht, The Netherlands;1. Energy Market Regulatory Authority, 06530 Ankara, Turkey;2. Department of Business Administration, Middle East Technical University, 06800 Ankara, Turkey |
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| Abstract: | The present paper outlines the philosophical background as well as a practical case of so-called decentralized management of knowledge work. It is argued that top-down perspectives on knowledge have dominated management initiatives in this area, at the expense of naturally occurring, or emergent work patterns of R&D organization. A model of management based on semiorganized individual knowledge exchange or “brokerage” is proposed as a solution. This alternative is exemplified in a case study from a software engineering firm. The paper proposes a number of principles that may be used to guide the development of similar models elsewhere. |
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