Scenario planning of knowledge management strategies in knowledge-based companies

Document Type : Research Paper

Author

Assistant Professor, Department of Management and Accounting, University of Hormozgan , Bandar Abbas, Iran.

Abstract

The basis of competition in knowledge-based companies is based on knowledge, and the company that can manage this category correctly and choose the right strategy for it will be the final winner of the competition. Therefore, in this research, an attempt has been made to formulate possible scenarios and, as a result, appropriate strategies, by forecasting factors and components affecting knowledge management strategies in knowledge-based companies. This research is applied in terms of purpose, and in terms of method, it is survey type and exploratory. The statistical population of this research was made up of 97 managers and experts in 46 knowledge-based companies located in Shiraz Chemical Industries Technology Town and which according to the type and stages of the research, 13-person, 6-person and 6-person teams were selected in a judgmental manner. In the first stage, 7 factors of organizational culture strategy, technology strategy, organizational strategy, structure strategy, organizational resources, knowledge management and environment were identified . Then, 20 Component were identified in the form of these factors and by reusing the subject literature. Then, using the Delphi method, the identified components were approved by a team of 13 experts. In the second stage, in order to determine the mutual effects, factors and components were included in 2 separate questionnaires and a team of 6 experts completed them. One of these questionnaires was developed for use in MICMAC analysis and the other for use in Scenario Wizard software. The results of the scenario wizard software presented 4 acceptable (strong) scenarios, among which 3 optimistic, pessimistic and most likely scenarios were analyzed and the results of the corresponding scenarios were presented in 7 factors.

Keywords

Main Subjects

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Volume 16, Issue 3 - Serial Number 33
September 2022
Pages 151-190
  • Receive Date: 06 November 2022
  • Revise Date: 28 December 2022
  • Accept Date: 16 January 2023