Marketing Strategy Evaluation by Integrating Dynamic Systems Modeling and Network Data Envelopment Analysis

Document Type: Research Paper


1 Department of Business Management, Yazd University, Yazd, Iran

2 Department of Business Management, Yazd University, Yazd , Iran


Nowadays, the service industries play an essential role in the economic development of countries, and among the various fields of insurance, life insurance is of particular importance because it covers its cover directly to humans. Increased competition in the insurance industry has led managers to seek marketing strategies that, in addition to increasing insurance sales, reduce costs and gain competitive advantage. Therefore, the purpose of this study was to develop appropriate marketing strategies in the form of scenario-based strategic planning in the life insurance market of Mellat Insurance Company. For this purpose, system dynamics and network data envelopment analysis tools have been used. In order to formulate marketing strategies, the causal-loop diagram and then the flow-stock diagram were simulated for scenario-based strategic planning. Then the operation was performed for different scenarios and the simulated results were put as input to the data envelopment analysis model and based on the obtained results, the best and most efficient scenario was selected. It should be noted that in this study, different scenarios play the role of marketing models and strategies, and their performance has been analyzed.


Arasa, R., and K'Obonyo, P. (2012). The Relationship between Strategic Planning and Firm Performance. International Journal of Humanities and Social Science, Vol 22. No 2, pp: 201-213.

Forrester, J.W. (1961). Industrial dynamics. New York: John Wiley & Sons, Inc.

Franco, D. (2005). Insurance dynamics: managing information flows. The 23rd International Conference of the System Dynamics Society. Boston USA.

Fukuyama, H.(2017). Modelling bank performance: A network DEA approach. european journal of operational research ,259 (2), pp: 721-732‏.

Jalali Nayini, SGH. Mahdavimozde, M. and Noralizade, H. (2012). Analysis of the effect of cancellation of entry monopoly on performance Iranian Insurance Companies. Insurance Research, Vol 110, No 2, pp: 25-51.

Mashayekhi, AN. Azar, A. and Zangoyinezhad, A. (2014). Dynamic model presentation to reduce the average time paid by insurance companies. Journal of Business Research, Issue 71, pp: 95-117.

Momeni, M. Safari, H. Rostami, M. Mostafayi, A. and soleimani damane, R. (2017). Design of an overlay radial network data envelopment analysis model for Performance evaluation. Quarterly Journal of Management Studies (Improvement), No 26, pp: 1-23.

Mosedeghrad, AM. (2015). Generalities of Organization and Health Management, Dibagaran Publications, Tehran.

Noraeimotlagh,S. Lotfi, F. Mohajerzadeh, Z. Abolghasemgorji, H. and Omranikho, H. (2016). Factors Determining Demand for Life Insurance in Selected Countries. Health Management,Vol 63, No 19, pp: 9-20.

Pishbahar, A. Ferdodi, R. and Haiati, B.(2017). Formulate and prioritize marketing strategies for dairy products Pegah Azarbaijan East Company: Application of Dynamics Analysis Approach Hierarchically. Agricultural Economics, Vol 11. No 4, pp: 1-19.

Reshnevadi, Y. Abtahi, SA. and Saramiforoshi, A. (2017). Dynamic Modeling of Life Insurance Situation in Iran with Approach System dynamics. Insurance Research, Vol 128, Issue 4, pp: 43-64.

Roosta, A. Venus, D. Ebrahimi, A. (2019) Marketing Management, Publications of the Organization for the Study and Compilation of University Humanities Books (Semat), 21.

Schwenker, B. Wulf, T. (2013). Scenario-based Strategic Planning: Developing Strategies in an Uncertain World, Springer Fachmedien Wiesbaden.

Yazdani, H. and Nohpishe, N. (2016). Scenario-Based Strategic Planning (Case Study: Sabin Economics Group Company). 4th International Strategic Management Conference. University of tehran, pp: 489-512.