Designing a strategic foresight framework for defensive technologies in the field of air defense using interpretive structural modeling

Document Type : Original Article

Authors

1 PhD. in Future Studies of Imam Khomeini International University and Faculty member of Command aand Staff University

2 Associate Prof. of Imam Khomeini International University

3 Assistant Prof. in AJA Command and Staff University

4 Assistant Prof. of Imam Khomeini International University

Abstract

This paper aimed to study the frameworks, models and patterns of foresight and strategic foresight in different organizations, and by using the opinions of experts, trying to synthesize the steps, components and stages of strategic foresight of technology in the field of air defense of the Islamic Republic of Iran, and introduce a appropriate framework in this field. For this purpose, by using an interpretive structural modeling method, the opinion of 25 experts was received, and within seven steps of ISM method, each of the stages of the strategic foresight framework of air defense technologies were sorted. According to the output of interpretive structural models, The pre-foresight step includes Five levels and thirteen steps, the specifying inputs step includes nine levels and seventeen steps, the foresight step includes five levels and eleven steps, the output step includes two levels and seven steps and the step of developing strategies includes four levels and ten steps.  Finally, the strategic foresight framework of technology in army air defense of the Islamic Republic of Iran was designed and developed and using the calculation of the power of influence and the degree of dependency, "effective, connective, independent and dependent" stages were determined at each step.

Keywords


  • Amsteus, M. (2008). Managerial foresight: concept and measurement. foresight.‏
  • Amsteus, Martin. (2011). Managerial Foresight and Firm Performance, doctoral dissertation. School of business and economics. Linnaeus University Press.
  • Andriopoulos, C., & Gotsi, M. (2006). Probing the future: Mobilising foresight in multiple-product innovation firms. Futures38(1), 50-66.‏
  • Battistella, C. & Alberto, F. (2010). The Organization for Corporate Foresight: A Multiple Case Study in the Telecommunication Industry, POMS 21st Annual Conference, Vancouver, Canada.
  • Bolanos, R., Fontela, E., Nenelares, A., Pastor, P. (2005). Using Interpretive Structural Modelling in Strategic Decision-Making Groups, Management Decision, 43(6): 877-895.
  • Daheim, C. & Uerz, G. (2008). Corporate foresight in Europe: from trendbased logics to open foresight, Technology Analysis and Strategic Management, 20(3): 321-336.
  • Gaspar, T. (2015). Strategia Sapiens–strategic foresight in a new perspective. Foresight, 17(5): 405-426.
  • Iden, J., Methlie, L. B., & Christensen, G. E. (2017). The nature of strategic foresight research: A systematic literature review. Technological Forecasting and Social Change116, 87-97.‏
  • Kousa, T. (2012). the Evolution of Strategic Foresight: Navigating Public Policy Making, GOWER.
  • Kunc, M., & O'brien, F. A. (2017). Exploring the development of a methodology for scenario use: Combining scenario and resource mapping approaches. Technological Forecasting and Social Change124, 150-159.
  • Kuosa, T. (2011). Different approaches of pattern management and strategic intelligence. Technological Forecasting and Social Change78(3), 458-467.‏
  • Martin, B. R. (1995). Foresight in science and technology. Technology analysis & strategic management7(2), 139-168.‏
  • Miles, I. (2012). Dynamic foresight evaluation. Foresight-The journal of future studies, strategic thinking and policy14(1), 69-81.‏
  • Miles, I., Harper, J. C., Georghiou, L., Keenan, M., & Popper, R. (2008). The many faces of foresight. The handbook of technology foresight: Concepts and practice, 3-23.‏
  • Paliokaite, A. (2012). The relationship between organisational foresight and product innovation in small and medium sized enterprises. 8th International Ph. D. School on National Systems of Innovation and Economic Development.‏
  • Paliokaitė, A., & Pačėsa, N. (2015). The relationship between organisational foresight and organisational ambidexterity. Technological Forecasting and Social Change101, 165-181.‏
  • Paliokate, A. (2013). The Relationship between Organizational Foresight and Organizational Ambidexterity, doctoral dissertation, ISM university of management and economics, Vilnius.
  • Reger, G. (2001). Technology Foresight in Companies: From an Indicator to a Network and Process Perspective, Technology Analysis & Strategic Management, 13(4): 533-553.
  • Riedy, C. (2009). The influence of futures work on public policy and sustainability. Foresight, 11(5): 40-56.
  • Roherbeck, R., Hans Georg, G. (2011). Corporate Foresight: Its Three Roles in Enhancing the Innovation Capacity of a Firm, Technological Forecasting & Social Change, (78): 231–243.
  • Rohrbeck, R. (2007). Technology Scouting-a case study on the Deutsche Telekom Laboratories. In ISPIM-Asia Conference.‏
  • Rohrbeck, R. (2008). Strategic foresight in multinational enterprises: building a best-practice framework from case studies.
  • Rohrbeck, R. (2011). Corporate Foresight, Contributions to Management Science, Springer-Verlag Berlin Heidelberg.
  • Saritas, O., Taymaz, E., & Tumer, T. (2007). Vision 2023: Turkey's national Technology Foresight Program: A contextualist analysis and discussion. Technological Forecasting and Social Change74(8), 1374-1393.‏
  • Silva, M. (2015). A systematic review of Foresight in Project Management literature. Procedia Computer Science64, 792-799.‏