Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Clarification and Evaluation of the Effectiveness of Company Strategies using a Combined BSC and FAHP Model

Document Type : Original Article

Authors
A. Anvari 1
R. Moghimi 2
A. Anvari 3
1 Assistant Professor, Department of Management, Faculty of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran.
2 Department of Management, Faculty of Humanities, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran.
3 MSc in Industrial Engineering, Faculty of Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran.
10.47176/TDASS.2020.102
Abstract
Today, one of the crucial challenges faced by organizations is the effectiveness of organizational strategies and their evaluation. Therefore, the accuracy in examining options and selecting strategies that guide the organization towards its goals is a determinant of organizational success or failure. In this research, the Balanced Scorecard model, along with the fuzzy analytic hierarchy process and structural equation modeling, is employed to evaluate the effectiveness of strategies in a petrochemical company from financial, customer and market, internal process, and growth and learning perspectives. The main objective is to clarify the effectiveness of strategies in the petrochemical company in terms of financial, customer, internal process, and growth and learning perspectives. The research population consists of experts from the petrochemical company. Accordingly, samples of 70 and 10 experts were selected for surveying. The data collection tool was a questionnaire. The results indicate that the Balanced Scorecard has a positive impact on the strategies of the petrochemical company in all four perspectives, with financial indicators, customer and market indicators, internal process indicators, and growth and learning indicators being of greater importance, respectively.
Keywords
Strategy Effectiveness
Financial Perspective
Customer and Market Perspective
Internal Process Perspective
Growth and Learning Perspective
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Transactions on Data Analysis in Social Science
Volume 2, Issue 2
Spring 2020
Pages 102-111

  • Receive Date 02 March 2020
  • Revise Date 19 May 2020
  • Accept Date 16 June 2020