کاربرد نقشه استراتژی شناختی فازی در تعیین مسیر موفقیت سازمان
محورهای موضوعی : مدیریت بازرگانی
جواد صوفیابادی
1
,
بهاره کلاهی
2
,
چنگیز والمحمدی
3
,
محمد مهدی موحدی
4
1 - دانش آموخته کارشناسی ارشد، گروه مدیریت صنعتی، واحدفیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران
2 - دانش آموخته کارشناسی ارشد، گروه مدیریت دولتی، دانشگاه شاهد، تهران، ایران
3 - استادیار، گروه مدیریت فناوری اطلاعات، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران
4 - استادیار، گروه مدیریت صنعتی، واحد فیروزکوه، دانشگاه آزاد اسلامی، تهران، ایران
کلید واژه: تئوری فازی, کارت امتیازی متوازن, نقشه شناختی فازی, نقشه استراتژی,
چکیده مقاله :
هدف تحقیق حاضر تعیین مسیر موفقیت شرکت پارس خودرو با استفاده از نقشه استراتژی شناختی فازی و تحلیل نظرات 6 نفر از خبرگان دفتر استراتژی پارس خودرو می باشد. تحقیق حاضر بر اساس هدف در زمره پژوهش های کاربردی و توسعه ای و بر اساس چگونگی به دست آوردن داده ها در دو گروه تحقیقات آزمایشی قرار می گیرد. روش تحقیق به کارگرفته شده مبتنی بر بهره مندی از مفاهیم نوین تحقیق در عملیات (متدولوژی سیستم های نرم) می باشد .در این پژوهش از قابلیت های نقشه استراتژی شناختی فازی بهره داری شده است تا علاوه بر رفع محدودیت های کارت امتیازی متوازن، شبیه سازی استراتژیک نیز بررسی شود. نتایج به دست آمده نشان می دهد، شرکت پارس خودرو می تواند با تاکید بر جهت گیری های تعالی روزانه فرآیندهای عملیاتی و توسعه محصولات مبتنی بر پلتفرم های محدود و نوآور در مسیر موفقیت حرکت نماید و به چشم انداز خود نائل گردد. با استفاده از ساختار ارائه شده در این پژوهش، مدیران سازمان ها قادر خواهند بود با بهره مندی از قابلیت های مقایسه رفتارهای استراتژیک، برنامه عملیاتی سازمان خود را یکپارچه نموده و به موازات دست یابی به کارایی فرآیندها در مسیر تعالی و بهره وری حرکت نمایند.
The main purpose of this study is to determine the success path of Pars Khodro Company using Fuzzy Cognitive Map technique and analyzing the views of six experts of this company. Based on the objective of the research this research can be considered as an applied and developmental research. And from the viewpoint, of collecting data, it is in line with the experimental research. The research method is based on the utilization of the new concepts in operation research (soft systems methodology). In order to simultaneously remove the constraints of balance scorecard (BSC) approach and study the strategic simulation, we utilized the capabilities of fuzzy cognitive map. The obtained results reveal that the surveyed company through accentuating upon the excellence of daily operational processes and the development of products based on the limited and innovative platforms would be able to move towards excellence and achieving its vision. Based on the proposed framework in this research study, managers of the Iranian companies would be able through leveraging the capabilities of strategic behaviors comparison to integrate their operational plans. This way, as they increase the efficiency of their processes, they can continue the journey towards excellence
- Abdelkabir, C., Abdellah, A. O., & Bouayad, B. (2012). Application of Ecograibse Method for Controlling Logistic Performance: Case of a Moroccan Clothing Company. International Journal of Business, Humanities and Technology (IJBHT), 2(2), 26-35.
- Alizadeh, S., & Ghazanfari, M. (2009). Learning FCM by Chaotic Simulated Annealing. Chaos, Solitons & Fractals, 41(3), 1182-1190.
- Alizadeh, S., Ghazanfari, M., & Fathian, M. (2008). Using Data Mining for Learning and Clustering FCM. International Journal of Computational Intelligence, 4(2), 118-125.
- Alizadeh, S., Ghazanfari, M., & Fathian, M. (2009). Learning FCM by Data Mining in a Purchase System. International Journal of Industrial Engineering & Production Research. 20(1/2), 11-20.
- Alizadeh, S., Ghazanfari, M., Jafari, M., & Hooshmand, S. (2007). Learning FCM by Tabu Search. International Journal of Computer Science, 2(2), 142-149.
- Atefi, M. R. (2011). Implementation Achievement of Attaching Strategy to Operate to Achieve Competitive Advantage. Tehran: Nab, (In Persian).
- Bafandeh Zendeh, A. R. (2009). Designing a Fuzzy Expert System to Design Organizational Structure. Productivity Management (Beyond Management), 9, 103-128, (In Persian).
- Barnabè, F. (2011). A “System Dynamics-Based Balanced Scorecard” to Support Strategic Decision Making: Insights from a Case Study. International Journal of Productivity and Performance Management, 60(5), 446-473.
- Beckenholdt, P. A. (2011). An Executive Scorecard: Evaluating a CEO’s Performance Using the Balanced Scorecard and Stakeholder Theory Approach. Dissertation Doctor of Management, University of Maryland University College.
- Bianchi, C., & Montemaggiore, G. B. (2008). Enhancing Strategy Design and Planning in Public Utilities Through “Dynamic” Balanced Scorecards: Insights from a Project in a City Water Company. System Dynamics Review, 24(2), 175-213.
- Biloslavo, R., & Dolinšek, S. (2010). Scenario Planning for Climate Strategies Development by Integrating Group Delphi, AHP and Dynamic Fuzzy Cognitive Maps. Foresight, 12(2), 38-48.
- Borrie, D., Isnandar, S., & Ozveren, C. S. (2006). The Use of Fuzzy Cognitive Agents to Simulate Trading Patterns within the Liberalised UK Electricity Market. Universities Power Engineering Conference.
- Bueno, S., & Salmeron, J. L. (2008). Fuzzy Modeling Enterprise Resource Planning Tool Selection. Computer Standards & Interfaces, 30(3), 137-147.
- Christensen, D. A. (2008). The Impact of Balanced Scorecard Usage on Organization Performance. PhD Thesis. Minnesota: University of Minnesota.
- DeBusk, G. K. (2004). An Examination of Organizational Performance Measurement System Utilization. PhD Thesis. Virginia Polytechnic Institute and State University.
- Fernandes, K. J., Raja, V., & Whalley, A. (2006). Lessons from Implementing the Balanced Scorecard in a Small and Medium Size Manufacturing Organization. Technovation, 26(5), 623-634.
- Ghazanfari, M., & Alizadeh, S. (2008). Learning Fcm with Simulated Annealing. Vienna: Simulated Annealing.
- Ghazanfari, M., Alizadeh, S., Fathian, M., & Koulouriotis, D. E. (2007). Comparing Simulated Annealing and Genetic Algorithm in Learning FCM. Mathematics and Computation, 192(1), 56-68.
- Glykas, M. (2012). Performance Measurement Scenarios with Fuzzy Cognitive Strategic Maps. International Journal of Information Management, 32(2), 182-195.
- Glykas, M. (2012). Performance Measurement Scenarios with Fuzzy Cognitive Strategic Maps. International Journal of Information Management, 32(2), 182-195.
- Glykas, M. (2012). Fuzzy Cognitive Strategic Maps in Business Process Performance Measurement. Expert Systems with Applications.
- Glykas, M. (2012). Performance Measurement Scenarios with Fuzzy Cognitive Strategic Maps. International Journal of Information Management, 32(2), 182-195.
- Glykas, M. (2010). Fuzzy Cognitive Maps: Advances in theory, methodologies, Tools and Applications.
- Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A Framework for Supply Chain Performance Measurement. International Journal of Production Economics, 87(3), 333-347.
- Heimdahl, L. (2010). Implementing Balanced Scorecard and Strategy Map to Enhance Employee Engagement and Improve Performance. Master's Thesis. Scholastica: Duluth, The College of St.
- Iranzadeh, S., Bagheri, D., & Azarkasb, A. (2011). Presentation the Tree Model of Fuzzy Evaluation to Evaluate the Employee Performance Evaluation Systems and Selection of Appropriate Evaluation System for Islamic Azad University of Azarbaijan. Productivity Management (Beyond Management), 17, 53-89, (In Persian).
- Khaki, Gh. R. (2011). Research Methodology with Thesis Approach. Tehran: Baztab, (In Persian).
- Kaplan, R. S., & Norton, D. P. (1992). The Balanced Score Card: Measures that Drive Performance. Harvard Business Review70, 1, 71-79.
- Kaplan, R. S., & Norton, D. P. (1993). Putting the Balanced Scorecard to Work. The Performance Measurement, Management and Appraisal Sourcebook, 66-79.
- Kaplan, R. S., & Norton, D. P. (1996). Linking the Balanced Scorecard to Strategy. California Banagement Review, 39(1).
- Kaplan, R. S., & Norton, D. P. (2001). The Strategy Focused Organization: How Balanced Scorecard Companies Thrive in the New Business Environment. Harvard Business Press.
- Kaplan, R. S., & Norton, D. P. (2004). The Strategy Map: Guide to Aligning Intangible Assets. Strategy & Leadership, 32(5), 10-17.
- Kaplan, R. S., & Norton, D. P. (2008). The Execution Premium: Linking Strategy to Operations for Competitive Advantage. Harvard Business Press.
- Kaplan, R., & Norton, D. P.(2006). Alignment: Using the Balanced Scorecard to Create Corporate Synergies. Harvard Business Press.
- Kaplan. R. Norton. D (2000). The Strategy-Focused Organization: How Balanced Scorecard Companies Thrive in the New Business Environment. Harvard Business Review Press.
- Kardaras, D., & Karakostas, B. (1999). The Use of Ffuzzy Cognitive Maps to Simulate the Information Systems Strategic Planning Process. Information and Software Technology, 41(4), 197-210.
- Neely, A., & Bourne, M. (2000). Why Measurement Initiatives Fail. Measuring Business Excellence, 4(4), 3-7.
- Nørreklit, H. S. O. (2000). The Balance on the Balanced Scorecard Acritical Analysis of Some of its Assumptions. Management Accounting Research, 11(1), 65-88.
- Nezhad Irani, F., & Azizi, K. (2013). Investigating the Impact of Value Engineering on the Organizational Performance Case Study: Water and Wastewater Administration of West Azarbaijan Province. Productivity Management (Beyond Management), 25, 81-106, (In Persian).
- Parmenter, D. (2010). Key Performance Indicators (KPI): Developing, Implementing, and Using Winning KPIs. John Wiley & Sons.
- Rodriguez, A. B. (2008). A Framework to Align Strategy, Improvement Performance, and Customer Satisfaction Using an Integration of Six Sigma and Balanced Scorecard, ProQuest.
- Taghizadeghan Koluje, A. (2008). Application of Fuzzy Perceptual Mapping Method in Mobile Payment System. Master's Thesis, Tehran: Imam Hossein University, (In Persian).
- Taticchi, P., Tonelli, F., & Cagnazzo, L. (2010). Performance Measurement and Management: a Literature Review and a Research Agenda. Measuring Business Excellence, 14(1), 4-18.
- Tsadiras, A. K. (2003). Using Fuzzy Cognitive Maps for E-Commerce Strategic Planning. 9th Panhellenic Conf. on Informatics.
- Valmohammadi, Ch., & Servati, A. (2011). Performance Measurement System Implementation Using Balanced Scorecard and Statistical Methods. International Journal of Productivity and Performance Management, 60(5), 493-511.
- Xirogiannis, G., & Glykas, M. (2004). Fuzzy Cognitive Maps in Business Analysis and Performance-Driven Change. Engineering Management, 51(3), 334-351.
- Xirogiannis, G., Chytas, P., Glykas, M., & Valiris, G. (2008). Intelligent Impact Assessment of HRM to the Shareholder Value. Expert Systems with Applications, 35(4), 2017-2031.
- Zadeh, L. A. (1973). Outline of a New Approach to the Analysis of Complex Systems and Decision Processes. Systems, Man and Cybernetics, 1, 28-44.
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- Abdelkabir, C., Abdellah, A. O., & Bouayad, B. (2012). Application of Ecograibse Method for Controlling Logistic Performance: Case of a Moroccan Clothing Company. International Journal of Business, Humanities and Technology (IJBHT), 2(2), 26-35.
- Alizadeh, S., & Ghazanfari, M. (2009). Learning FCM by Chaotic Simulated Annealing. Chaos, Solitons & Fractals, 41(3), 1182-1190.
- Alizadeh, S., Ghazanfari, M., & Fathian, M. (2008). Using Data Mining for Learning and Clustering FCM. International Journal of Computational Intelligence, 4(2), 118-125.
- Alizadeh, S., Ghazanfari, M., & Fathian, M. (2009). Learning FCM by Data Mining in a Purchase System. International Journal of Industrial Engineering & Production Research. 20(1/2), 11-20.
- Alizadeh, S., Ghazanfari, M., Jafari, M., & Hooshmand, S. (2007). Learning FCM by Tabu Search. International Journal of Computer Science, 2(2), 142-149.
- Atefi, M. R. (2011). Implementation Achievement of Attaching Strategy to Operate to Achieve Competitive Advantage. Tehran: Nab, (In Persian).
- Bafandeh Zendeh, A. R. (2009). Designing a Fuzzy Expert System to Design Organizational Structure. Productivity Management (Beyond Management), 9, 103-128, (In Persian).
- Barnabè, F. (2011). A “System Dynamics-Based Balanced Scorecard” to Support Strategic Decision Making: Insights from a Case Study. International Journal of Productivity and Performance Management, 60(5), 446-473.
- Beckenholdt, P. A. (2011). An Executive Scorecard: Evaluating a CEO’s Performance Using the Balanced Scorecard and Stakeholder Theory Approach. Dissertation Doctor of Management, University of Maryland University College.
- Bianchi, C., & Montemaggiore, G. B. (2008). Enhancing Strategy Design and Planning in Public Utilities Through “Dynamic” Balanced Scorecards: Insights from a Project in a City Water Company. System Dynamics Review, 24(2), 175-213.
- Biloslavo, R., & Dolinšek, S. (2010). Scenario Planning for Climate Strategies Development by Integrating Group Delphi, AHP and Dynamic Fuzzy Cognitive Maps. Foresight, 12(2), 38-48.
- Borrie, D., Isnandar, S., & Ozveren, C. S. (2006). The Use of Fuzzy Cognitive Agents to Simulate Trading Patterns within the Liberalised UK Electricity Market. Universities Power Engineering Conference.
- Bueno, S., & Salmeron, J. L. (2008). Fuzzy Modeling Enterprise Resource Planning Tool Selection. Computer Standards & Interfaces, 30(3), 137-147.
- Christensen, D. A. (2008). The Impact of Balanced Scorecard Usage on Organization Performance. PhD Thesis. Minnesota: University of Minnesota.
- DeBusk, G. K. (2004). An Examination of Organizational Performance Measurement System Utilization. PhD Thesis. Virginia Polytechnic Institute and State University.
- Fernandes, K. J., Raja, V., & Whalley, A. (2006). Lessons from Implementing the Balanced Scorecard in a Small and Medium Size Manufacturing Organization. Technovation, 26(5), 623-634.
- Ghazanfari, M., & Alizadeh, S. (2008). Learning Fcm with Simulated Annealing. Vienna: Simulated Annealing.
- Ghazanfari, M., Alizadeh, S., Fathian, M., & Koulouriotis, D. E. (2007). Comparing Simulated Annealing and Genetic Algorithm in Learning FCM. Mathematics and Computation, 192(1), 56-68.
- Glykas, M. (2012). Performance Measurement Scenarios with Fuzzy Cognitive Strategic Maps. International Journal of Information Management, 32(2), 182-195.
- Glykas, M. (2012). Performance Measurement Scenarios with Fuzzy Cognitive Strategic Maps. International Journal of Information Management, 32(2), 182-195.
- Glykas, M. (2012). Fuzzy Cognitive Strategic Maps in Business Process Performance Measurement. Expert Systems with Applications.
- Glykas, M. (2012). Performance Measurement Scenarios with Fuzzy Cognitive Strategic Maps. International Journal of Information Management, 32(2), 182-195.
- Glykas, M. (2010). Fuzzy Cognitive Maps: Advances in theory, methodologies, Tools and Applications.
- Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A Framework for Supply Chain Performance Measurement. International Journal of Production Economics, 87(3), 333-347.
- Heimdahl, L. (2010). Implementing Balanced Scorecard and Strategy Map to Enhance Employee Engagement and Improve Performance. Master's Thesis. Scholastica: Duluth, The College of St.
- Iranzadeh, S., Bagheri, D., & Azarkasb, A. (2011). Presentation the Tree Model of Fuzzy Evaluation to Evaluate the Employee Performance Evaluation Systems and Selection of Appropriate Evaluation System for Islamic Azad University of Azarbaijan. Productivity Management (Beyond Management), 17, 53-89, (In Persian).
- Khaki, Gh. R. (2011). Research Methodology with Thesis Approach. Tehran: Baztab, (In Persian).
- Kaplan, R. S., & Norton, D. P. (1992). The Balanced Score Card: Measures that Drive Performance. Harvard Business Review70, 1, 71-79.
- Kaplan, R. S., & Norton, D. P. (1993). Putting the Balanced Scorecard to Work. The Performance Measurement, Management and Appraisal Sourcebook, 66-79.
- Kaplan, R. S., & Norton, D. P. (1996). Linking the Balanced Scorecard to Strategy. California Banagement Review, 39(1).
- Kaplan, R. S., & Norton, D. P. (2001). The Strategy Focused Organization: How Balanced Scorecard Companies Thrive in the New Business Environment. Harvard Business Press.
- Kaplan, R. S., & Norton, D. P. (2004). The Strategy Map: Guide to Aligning Intangible Assets. Strategy & Leadership, 32(5), 10-17.
- Kaplan, R. S., & Norton, D. P. (2008). The Execution Premium: Linking Strategy to Operations for Competitive Advantage. Harvard Business Press.
- Kaplan, R., & Norton, D. P.(2006). Alignment: Using the Balanced Scorecard to Create Corporate Synergies. Harvard Business Press.
- Kaplan. R. Norton. D (2000). The Strategy-Focused Organization: How Balanced Scorecard Companies Thrive in the New Business Environment. Harvard Business Review Press.
- Kardaras, D., & Karakostas, B. (1999). The Use of Ffuzzy Cognitive Maps to Simulate the Information Systems Strategic Planning Process. Information and Software Technology, 41(4), 197-210.
- Neely, A., & Bourne, M. (2000). Why Measurement Initiatives Fail. Measuring Business Excellence, 4(4), 3-7.
- Nørreklit, H. S. O. (2000). The Balance on the Balanced Scorecard Acritical Analysis of Some of its Assumptions. Management Accounting Research, 11(1), 65-88.
- Nezhad Irani, F., & Azizi, K. (2013). Investigating the Impact of Value Engineering on the Organizational Performance Case Study: Water and Wastewater Administration of West Azarbaijan Province. Productivity Management (Beyond Management), 25, 81-106, (In Persian).
- Parmenter, D. (2010). Key Performance Indicators (KPI): Developing, Implementing, and Using Winning KPIs. John Wiley & Sons.
- Rodriguez, A. B. (2008). A Framework to Align Strategy, Improvement Performance, and Customer Satisfaction Using an Integration of Six Sigma and Balanced Scorecard, ProQuest.
- Taghizadeghan Koluje, A. (2008). Application of Fuzzy Perceptual Mapping Method in Mobile Payment System. Master's Thesis, Tehran: Imam Hossein University, (In Persian).
- Taticchi, P., Tonelli, F., & Cagnazzo, L. (2010). Performance Measurement and Management: a Literature Review and a Research Agenda. Measuring Business Excellence, 14(1), 4-18.
- Tsadiras, A. K. (2003). Using Fuzzy Cognitive Maps for E-Commerce Strategic Planning. 9th Panhellenic Conf. on Informatics.
- Valmohammadi, Ch., & Servati, A. (2011). Performance Measurement System Implementation Using Balanced Scorecard and Statistical Methods. International Journal of Productivity and Performance Management, 60(5), 493-511.
- Xirogiannis, G., & Glykas, M. (2004). Fuzzy Cognitive Maps in Business Analysis and Performance-Driven Change. Engineering Management, 51(3), 334-351.
- Xirogiannis, G., Chytas, P., Glykas, M., & Valiris, G. (2008). Intelligent Impact Assessment of HRM to the Shareholder Value. Expert Systems with Applications, 35(4), 2017-2031.
- Zadeh, L. A. (1973). Outline of a New Approach to the Analysis of Complex Systems and Decision Processes. Systems, Man and Cybernetics, 1, 28-44.