چکیده:
To guide their organizations toward greater success, organizational strategy designers determine organizational strategies in accordance with the three common stages in strategic management (formulation, implementation, and evaluation). Accuracy in data extraction, for the purpose of mapping the current and desired states with the help of experts and end-users, is an important issue that leads to strategic planning aimed at achieving desired results. Stakeholders may, in this method (due to lack of awareness or different understanding of the questions), provide incorrect answers to questions. Or, due to high workload and deeming these questions unimportant, they may select options carelessly or not select any option at all. Therefore, to investigate these cases, novel solutions and data mining algorithms can be used in this field. This is done by exploring the questionnaires of similar organizations and extracting the rules and knowledge inherent in them, thereby reaching a criterion regarding the connection between different sectors in the field of strategic planning. As a method for performing this task, suspicious responses can be extracted based on the current state criterion, and by examining the responses of the relevant individuals, results can be achieved. In this article, while describing the foundations of strategic management and data mining, association rules are also explained, and subsequently, using association rules and conducting tests, the manner of formulating organizational strategies via the association rule method is described.
خلاصه ماشینی:
The Role of Association Rule-Based Data Mining in Strategic Management (Refer to the page image) From page 001-47 Date of Submission: 68/21/11 Date of Acceptance: 78/2/2 Dr. Mohsen Rasoulian 1 Abul Qasim Sharayei 2 Mohammad Baqer Fathi Gohardani 3 Abstract: In order to guide their organizations toward achieving greater successes, organizational strategy designers proceed to determine organizational strategies in accordance with the three common stages in strategic management (formulation, implementation, and evaluation).
Keywords: Strategic management 1, Data mining 2, Association rule 3, Frequent Item set 4, Confidence Factor 5 Introduction: Strategic management, using the latest research, experiences, and case analyses, provides the ground for strengthening insight, knowledge, and appropriate skills to face today's world, which is changing with a different pace than in the past, and in order to update and realize the strategic management process, the following considerations are taken into account.
3. By putting together the 281 obtained rules (Appendix 1), one can reach the strategy map or the same strategy formulation to achieve the goal, which is reducing the gap between the desired state and the existing state; the results are mentioned in Tables 5 and 6: Table 5- Software gap analysis and extraction of solutions (strategies) (Refer to the page image) Finally, the data related to 4000 questionnaires were entered into the relevant software, from which 281 rules were extracted with a confidence coefficient higher than 5%.
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