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Knowledge Groups: A Model for Creating Synergy Across the Public Sector

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Abstract

Private sector lays a strong emphasis on acquiring knowledge, because in today’s world, it is knowledge that is the primary source of sustained profitability. Public sector organizations also need to be learning organizations. However, they are constrained by a number of factors. This paper discusses different models for knowledge sharing, but finds them inadequate for the public sector. It then develops a model of Knowledge Groups that creates synergy across the public sector by formally gathering professionals from different and even competing public sector organizations for a clearly defined and mutually valued goal. The paper also identifies risks that may lead to the failure of Knowledge Groups. It concludes by presenting a case study on Energy Management and analyzes the dynamics of interaction between Group members for formulating guidelines and standards on the subject.

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Notes

  1. Private sector is not entirely excluded, but the Group is primarily meant for the public sector.

  2. A vertically integrated utility in Pakistan, that generates most of the electricity and distributes it to domestic, commercial and industrial consumers though its distribution companies.

  3. National Energy Conservation Center under Ministry of Environment.

References

  • Andersen, A., & World Bank. (1996). World Bank knowledge management concept paper: A practical approach.

  • Argyris, C., & Schon, D. (1978). Organisational learning. London: Addison-Wesley.

    Google Scholar 

  • Baird, L., & Griffin, D. (2006). Adaptability and responsiveness: the case for dynamic learning. Organizational Dynamics, 35(4), 372–383. doi:10.1016/j.orgdyn.2006.08.002.

    Article  Google Scholar 

  • Berger, P. L., & Luckmann, T. (1971). The social construction of reality: A treatise in the sociology of knowledge. New York: Insington.

    Google Scholar 

  • Cross, R., & Thomas, R. J. (2008). How top talent uses networks and where rising stars get trapped. Organizational Dynamics, 37(2), 165–180. doi:10.1016/j.orgdyn.2008.02.001.

    Article  Google Scholar 

  • Cross, R., Parker, A., Prusak, L., & Borgatti, S. P. (2001). Knowing what we know: supporting knowledge creation and sharing in social networks. Organizational Dynamics, 30(2), 100–120. doi:10.1016/S0090-2616(01)00046-8.

    Article  Google Scholar 

  • David, P. A., & Foray, D. (2003). Economic fundamentals of the knowledge society. Policy Futures in Education, 1(1), 20–49.

    Article  Google Scholar 

  • Drucker, P. F. (1994). Post-capitalist society. Oxford: Butterworth-Heinemann.

    Google Scholar 

  • Dunford, R. (2000). Key challenges in the search for the effective management of knowledge in management consulting firms. Journal of Knowledge Management, 4(4), 295–302.

    Article  Google Scholar 

  • Evers, H.-D., & Menkhoff, T. (2002). Selling expert knowledge: The role of consultants in Singapore’s new economy. ZEF—Discussion Papers on Development Policy No. 55. Bonn: Center for Development Research, University of Bonn.

    Google Scholar 

  • Gilson, C., Dunleavy, P., & Tinkler, J. (2009). Organizational learning in government sector organizations: Literature review. London: LSE Policy Group.

    Google Scholar 

  • Heusinkveld, S., & Benders, J. (2005). Contested commodification: consultancies and their struggle with new concept development. Human Relations, 58(3), 283–310.

    Article  Google Scholar 

  • Hofstede, G. (1993). Cultural constraints in management theories. The Executive, 7(1), 81–94.

    Google Scholar 

  • Kim, S., & Lee, H. (2006). The impact of organizational context and information technology on employee knowledge-sharing capabilities. Public Administration Review, 66(3), 370–385.

    Article  Google Scholar 

  • King, K., & Mcgrath, S. (2000). Becoming a knowledge bank? The World Bank’s emerging approach to knowledge, partnership and development in the time of globalisation. Edinburgh: Centre of African Studies, University of Edinburgh.

    Google Scholar 

  • Leeuw, F. L., Rist, R. C., & Sonnichsen, R. C. (1994). Can governments learn?: comparative perspectives on evaluation and organizational learning. Comparative policy analysis series. New Brunswick: Transaction.

    Google Scholar 

  • Ley, T., Ulbrich, A., Scheir, P., Lindstaedt, S. N., Kump, B., & Albert, D. (2008). Modeling competencies for supporting work-integrated learning in knowledge work. Journal of Knowledge Management, 12(6), 31–47. doi:10.1108/13673270810913603.

    Article  Google Scholar 

  • Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3–42.

    Article  Google Scholar 

  • National Audit Office. (2009). Helping government learn. London: The Stationary Office.

    Google Scholar 

  • Pedler, M., Burgoyne, J., & Boydell, T. (1991). The learning company: A strategy for sustainable development. London: McGraw-Hill.

    Google Scholar 

  • Quinn, J. B. (1992). Intelligent enterprise: a knowledge and service based paradigm for industry. New York: Free Press.

    Google Scholar 

  • Raza, A., Kausar, A. R., & Paul, D. (2007). The social management of embodied knowledge in a knowledge community. Journal of Knowledge Management, 11(5), 45–54. doi:10.1108/13673270710819799.

    Article  Google Scholar 

  • Senge, P. (1990). The fifth discipline: The art and science of learning organization. New York: Doubleday.

    Google Scholar 

  • Sturdy, A., Schwarz, M., & Spicer, A. (2006). Guess who’s coming to dinner? Structures and uses of liminality in strategic management consultancy. Human Relations, 59(7), 929–960.

    Article  Google Scholar 

  • Taminiau, Y., Smit, W., & De Lange, A. (2009). Innovation in management consulting firms through informal knowledge sharing. Journal of Knowledge Management, 13(1), 42–55. doi:10.1108/13673270910931152.

    Article  Google Scholar 

  • UNESCO. (2000). Development and international cooperation in the twenty-first century: the role of information technology in the context of a knowledge-based global economy. New York: United Nations Economic and Social Council.

    Google Scholar 

  • Verhoest, K., Bouckaert, G., & Peters, B. G. (2007). Janus-faced reorganization: specialization and coordination in four OECD countries in the period 1980 2005. International Review of Administrative Sciences, 73(3), 325–348. doi:10.1177/0020852307081144.

    Article  Google Scholar 

  • Von Krogh, G., Ichijo, K., & Nonaka, I. (2000). Enabling knowledge creation. Oxford: Oxford University Press.

    Google Scholar 

  • World Bank. (1998). World development report: Knowledge for development. Oxford: Oxford University Press.

    Google Scholar 

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Acknowledgements

The author would like to gratefully acknowledge the contribution of Mr. Khalid Farooq, ex-Deputy Auditor General, who first introduced him to the concept.

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Correspondence to Iram A. Khan.

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I am grateful to two anonymous reviewers for their valuable comments on an earlier draft of the paper.

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Khan, I.A. Knowledge Groups: A Model for Creating Synergy Across the Public Sector. Public Organ Rev 10, 139–152 (2010). https://doi.org/10.1007/s11115-009-0101-z

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