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Assessing knowledge-based resources in a utility company: Identify and prioritise the balancing factors

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  • Kayakutlu, Gülgün
  • Büyüközkan, Gülçin

Abstract

Confidence in the future of an enterprise success is only possible by balancing the resources and the expectations. The increase in knowledge-based resources request new assessment models. This study aims to demonstrate the divergence in value of the knowledge resources for different role players. Thus, knowledge management strategies can be reviewed as to support the future of the company. The case study is performed in a Turkish utility company, where, the role players have comparable influences on the future of the business. An integrated Delphi and fuzzy Analytic Hierarchy Process (AHP) based framework is used in analysis which also helps prioritising the balancing factors according to the different role players. Achievements in the case study led for a mind-shift of considering the accordance of the sustainability and the resource balancing goals for the utility sector.

Suggested Citation

  • Kayakutlu, Gülgün & Büyüközkan, Gülçin, 2008. "Assessing knowledge-based resources in a utility company: Identify and prioritise the balancing factors," Energy, Elsevier, vol. 33(7), pages 1027-1037.
    • Handle: RePEc:eee:energy:v:33:y:2008:i:7:p:1027-1037
    DOI: 10.1016/j.energy.2008.01.006
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    1. Alireza ANVARI & Gholam-Abbas ALIPOURIAN & Rohollah MOGHIMI & Leila BAKTASH, 2011. "Analysis of Knowledge Management within Five Key Areas," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 1(6), pages 1-24, October.
    2. Somsuk, Nisakorn & Laosirihongthong, Tritos, 2014. "A fuzzy AHP to prioritize enabling factors for strategic management of university business incubators: Resource-based view," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 198-210.
    3. Lee, Amy H.I. & Chen, Hsing Hung & Chen, Silu, 2015. "Suitable organization forms for knowledge management to attain sustainable competitive advantage in the renewable energy industry," Energy, Elsevier, vol. 89(C), pages 1057-1064.
    4. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    5. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    6. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    7. Alipour, M. & Alighaleh, S. & Hafezi, R. & Omranievardi, M., 2017. "A new hybrid decision framework for prioritizing funding allocation to Iran's energy sector," Energy, Elsevier, vol. 121(C), pages 388-402.

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