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| Author: | Zandi, F. Tavana, M. |
| Title: | A hybrid fuzzy real option analysis and group ordinal approach for knowledge management strategy assessment |
| Journal: | Knowledge management research & practice
2010 : SEP, VOL. 8:3, p. 216-228 |
| Index terms: | knowledge management strategy investment options decision making models case studies multinational companies semiconductor industry manufacturing |
| Freeterms: | fuzzy logic |
| Language: | eng |
| Abstract: | Organizations are searching for more efficient and effective ways to improve organizational productivity through investing in knowledge management (KM) initiatives. This paper proposes a framework to assess KM investment opportunities (herein as: inv-oppts). In strategic investment assessment, precise and crisp information is basically irreplaceable. Yet, the information on future inv-oppts. in the real world is often imprecise or ambiguous. To the end, the optimal KM strategy and the best time to implement the strategy is determined by a novel objective decision-making model. This paper's contribution is fourfold: 1. it addresses the gaps in KM literature on the effective and efficient assessment of KM investment opportunities, 2. it offers a comprehensive and systematic framework combining real option analysis with a group ordinal approach to assess KM investment strategies, 3. it considers fuzzy logic and fuzzy sets to represent ambiguous, uncertain or imprecise information, 4. it uses a real world case study from a multinational semiconductor company with offices located in the USA, Malaysia and Singapore to show the applicability of the proposed framework and to express the efficacy of the procedures and algorithms. |
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