A Fuzzy ANP-SWOT Approach for Analyzing the IT Problems Based on Capabilities in Iran

Document Type : Case Study


1 Department of Industrial Engineering, Faculty of Engineering, Kharazmi University

2 Ms.c, Department of Industrial Engineering, Payame Noor University (PNU), Tehran, Iran


Determining strategy, as a very effective tool for policy (and especially science and technology policy), helps governments to be able in the challenges such as globalization and increased competition, and have an appropriate respond in the world today. Although some scattered researches about strategy determining have been conducted in Iran, the purpose of them is to recognize the future of IT and determine a framework for strategy determining. This paper examines the situation of Iran in IT. First, according to the techniques of the strategy formulation, the most important internal and external factors have been identified, then using matrix strengths, weaknesses, opportunities and threats, the organizational strategies have been developed. Fuzzy ANP Methods were used for quantitative analysis. The results were calculated using the Expert Choice Software. Statistical community of this study will be including the experts in the field collected among 400 experts. According to the results, the best strategy for implementation ST Strategy. Therefore, some strategies should be considered such as: Explicit decisions to expand or change of research program, selecting an independent organization as trustee of futures studies projects, explicit decisions to expand or change of research program, definition and implementation of future studies for appropriate infrastructure.


Main Subjects

arkow. I. L., 2014, The involvement of middle management in strategy development -Development and implementation of a foresight-based approach, Technological Forecasting and Social Change 28, In Press, Corrected Proof, doi:10.1016/j.techfore.2013.12.002. 
Dincer. O., 2004, Strategy Management and Organization Policy, Istanbul: Beta Publication.
Gaoa. T., Guptaa. A., Gulpinarb. N. and Zhu. Y., 2015, Optimal hedging strategy for risk management on a network, Journal of Financial Stability, Vol. 16, pp. 31–44. 
Granell. X., 2015, A strategic approach to adopt ICT: from using information and communication technology to making use of information and technology to communicate, Multilingual Information Management Information, Technology and Translators, pp. 45–59. 
Gratton. L., HopeHailey. V., Stiles. P. and Truss. C., 1999, Linking individual performance to business strategy: The people process model, Human Resource Management, Vol. 38, pp. 17-31. 
Kahraman. C., Ertay, T. and Buyukozkan. G., 2006, A fuzzy optimization model for QFD planning process using analytic network approach, European Journal of Operational Research, Vol. 171, pp. 390-411. 
Kangas. J., Kurtila. M., Kajanus. M. and Kangas. A., 2003, Evaluating the management strategies of a forestland estatethe SOS approach, Journal of Environmental Management, Vol. 69, pp. 349-358. 
Kaviani. M. A. and Abbasi. M., 2014, Analyzing the operations strategies of manufacturing firms using a hybrid Grey DEA approach – A case of Fars Cement Companies in Iran, International Journal of Supply and Operations Management, Volume 1(3), pp. 371-391. 
Keenan. M. 2002, Identifying emerging generic technologies at the national level: the UK experience. Journal of Forecasting. 
Keenan. M., 2003, Technology Foresight: An Introduction, Technology Foresight for Organizers, Ankara, Turkey; pp. 8-12. 
Krejcie. R. and Morgan. D., 1970, Determining sample size for research activities, Educational and Psychological Measurement, Vol. 30, pp. 607-610. 
LengnickHall. C. and LengnickHall. M., 1998, Strategic human resources management: a review of the literature and a proposed typology, Academy of Management Review, Vol. 13, pp. 70-454.
Mahdavi. I, Fazlollahtabar. H., Paydar. M. M and Heidarzade. A., 2008, Applying Multi-Criteria Decision Methods and SWOT Factors to Analyze the Role of Information Technology in Industry Development in Iran, Journal of Applied Sciences, Vol. 8(17), pp. 2983-2990.  DOI: 10.3923/jas.2008.2983.2990   
Manteghi. M., Abdi. B., Tofigh. A. A., 2011, Technological Vision in Automotive Industry and Presenting a Model for the Iranian Automotive Industry, International Journal of Automotive Engineering, Vol. 1 (3), pp. 197-205. 
Nyiri. L., 2003, Foresight as a policy-making tool, Technology Foresight for Organizers, Unido text book. 
Rodriguez. J. M. and Ventura. J., 2003, Human resource management systems and organizational performance: an analysis of the Spanish manufacturing industry, International Journal of Human Resource Management, Vol. 14 (7), pp. 1206-1226. 
Safari. E., Babakhani. M., Sadjadi. J., Shahanaghi. K. and Naboureh. K., 2014, Determining strategy of pricing for a web service with different QoS levels and reservation level constraint, Applied Mathematical Modelling, In Press, Corrected Proof, doi:10.1016/j.apm.2014.11.054.
Saniee. M., 2015, Role of ICT in Sustainable Urban Development by Using Model SWOT, International journal of Advanced Biological and Biomedical Research, Vol. 3(1), pp. 82-86.  
Santos. M., Santos. D. M., Filho. L. F., Coehlo. G. M. and Zackiewicz. M., 2004, Adding Value to Information in the Process of Promoting Technological Innovation: an approach Implemented by the Center for Management and Strategic Study on Science, Technology and Innovation in Brazil. Center for Management and Strategic Study (CGEE) and University of Companies (UNICAMP).  
Xie. S. L., 2013, National strategy for digital records: Comparing the approaches of Canada and China, International Journal of Information Management, Vol. 33 (4), pp. 697–701. 
Yaghoubi-Farani. A., Gholinia. J. M and Movahedi. R., 2011, Analyzing Strengths, Weaknesses, Opportunities, and Threats of Rural ICT Development in Iran's Villages, International Journal of Agricultural Science, Research and Technology, Vol. 1(1), pp. 17-26.
Yuksel. E. and Dagdeviren. M., 2007, Using the analytic network process in a SWOT analysis: A case study for a textile firm, Information Science, Vol. 177, pp. 3364-3382.