Exploring Inter-Relationships between Events to Identify Strategic Technological Competencies: A Combined Approach
Commenced in January 2007
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Edition: International
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Exploring Inter-Relationships between Events to Identify Strategic Technological Competencies: A Combined Approach

Authors: Cláudio Santos, Madalena Araújo, Nuno Correia

Abstract:

The inherent complexity in nowadays- business environments is forcing organizations to be attentive to the dynamics in several fronts. Therefore, the management of technological innovation is continually faced with uncertainty about the future. These issues lead to a need for a systemic perspective, able to analyze the consequences of interactions between different factors. The field of technology foresight has proposed methods and tools to deal with this broader perspective. In an attempt to provide a method to analyze the complex interactions between events in several areas, departing from the identification of the most strategic competencies, this paper presents a methodology based on the Delphi method and Quality Function Deployment. This methodology is applied in a sheet metal processing equipment manufacturer, as a case study.

Keywords: Competencies, Delphi Method, Quality Function Deployment, Technology Foresight.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070735

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References:


[1] Ford, D., Develop your Technology Strategy. Long Range Planning, 1988. 21(5): p. 85-95.
[2] Chiesa, V. and R. Mazini, Towards a framework for dynamic technology strategy. Technology Analysis & Strategic Management, 1998. 10(1): p. 111-129.
[3] Burgelman, R.A., C.M. Christensen, and S.C. Wheelwright, Strategic management of technology and innovation, ed. I. Edition. Vol. 4th Edition. 2004: McGraw Hill/Irwin.
[4] Fusfeld, A.R., How to put technology into corporate planning. Technology Review, 1978. 80(6): p. 51-55.
[5] Prahalad and G. Hamel, The core competence of the corporation. Harvard Business Review, 1990. 68(3): p. 79-91.
[6] Makridakis, S., Forecasting: its role and value for planning and strategy. International Journal of Forecasting, 1996. 12(4): p. 513-537.
[7] Group, T.F.A.M.W., Technology futures analysis: Toward integration of the field and new methods. Technological Forecasting and Social Change, 2004. 71(3): p. 287-303.
[8] Porter, A.L., Technology foresight: types and methods. Int. J. of Foresight and Innovation Policy, 2010. 6(1/2/3): p. 36-45.
[9] UNIDO, Technology foresight manual - in Organization and Methods. 2005, United Nations Industrial Develpment Organization: Vienna. p. 260.
[10] Vecchiato, R. and C. Roveda, Strategic foresight in corporate organizations: Handling the effect and response uncertainty of technology and social drivers of change. Technological Forecasting and Social Change, 2010. 77(9): p. 1527-1539.
[11] Salo, A. and K. Cuhls, Technology foresightÔÇöpast and future. Journal of Forecasting, 2003. 22(2-3): p. 79-82.
[12] Carlson, L.W., Using technology foresight to create business value. Research-Technology Management, 2004. 47(5): p. 51-60.
[13] Coates, V., et al., On the Future of Technological Forecasting. Technological Forecasting and Social Change, 2001. 67(1): p. 1-17.
[14] Reger, G., Technology Foresight in Companies: From an Indicator to a Network and Process Perspective. Technology Analysis & Strategic Management, 2001. 13(4): p. 533-553.
[15] Centidamar, D., R. Phaal, and D. Probert, Technology Management: activities and tools. 2010: Palgrave Macmillan. 350.
[16] Halsius, F. and C. Löchen, Assessing technological opportunities and threats: an introduction to technology forecasting, in Department of Business Administration and Social Science, Division of Industrial Marketing. 2001, Lulea University of Technology: Stockholm.
[17] Mishra, S., S.G. Deshmukh, and P. Vrat, Matching of technological forecasting technique to a technology. Technological Forecasting and Social Change, 2002. 69(1): p. 1-27.
[18] Council, R.T.E. (2002) Strategies in Technology Forecasting and Roadmapping. Project Support Memorandum.
[19] Martino, J.P., A review of selected recent advances in technological forecasting. Technological Forecasting and Social Change, 2003. 70(8): p. 719-733.
[20] Popper, R., How are foresight methods selected? Foresight, 2008. 10(6): p. 62-89.
[21] Anderson, T.R., T.U. Daim, and J. Kim, Technology forecasting for wireless communication. Technovation, 2008. 28(9): p. 602-614.
[22] Chiesa, V., R&D strategy and organization: managing technical change in dynamic environments, ed. I.C. Press. 2001, London: Imperial College Press.
[23] Porter, M.E., Competitive Advantage. 1985, New York: The Free Press.
[24] Hax, A.C. and N.S. Majluf, The Strategic Concept and Process: A Pragmatic Approach. 1991: Prentice Hall, Englewood Cliffs.
[25] Wernerfelt, B., A resource-based view of the firm. Strategic Management Journal, 1984. 5(2): p. 171-180.
[26] Marino, K., Developing Consensus on Firm Competencies and Capabilities. The Academy of Management Executive (1993), 1996. 10(3): p. 40-51.
[27] Walsh, S.T. and J.D. Linton, The Competence Pyramid: A Framework for Identifying and Analyzing Firm and Industry Competence. Technology Analysis & Strategic Management, 2001. 13(2): p. 165 - 177.
[28] Chiesa, V., E. Giglioli, and R. Manzini, R&D Corporate Planning: Selecting the Core Technological Competencies. Technology, Analysis and Strategic Management, 1999. 11: p. 255-279.
[29] Fink, A., et al., The future scorecard: combining external and internal scenarios to create strategic foresight. Management Decision, 2005. 43(3): p. 360-381.
[30] Battistella, C. and A.F. De Toni, A methodology of technological foresight: A proposal and field study. Technological Forecasting and Social Change, 2011. 78(6): p. 1029-1048.
[31] Walsh, S.T. and J.D. Linton, The Strategy-Technology Firm Fit Audit: A guide to opportunity assessment and selection. Technological Forecasting and Social Change, 2011. 78(2): p. 199-216.
[32] Linstone, H.A. and M. Turoff, The Delphi method: techniques and applications. 2002: Addison-Wesley.
[33] Rowe, G., G. Wright, and F. Bolger, Delphi: A reevaluation of research and theory. Technological Forecasting and Social Change, 1991. 39(3): p. 235-251.
[34] Linstone, H.A. and M. Turoff, Delphi: A brief look backward and forward. Technological Forecasting and Social Change, 2011. 78(9): p. 1712-1719.
[35] Kameoka, A., Y. Yokoo, and T. Kuwahara, A challenge of integrating technology foresight and assessment in industrial strategy development and policymaking. Technological Forecasting and Social Change, 2004. 71(6): p. 579-598.
[36] Nowack, M., J. Endrikat, and E. Guenther, Review of Delphi-based scenario studies: Quality and design considerations. Technological Forecasting and Social Change, 2011. 78(9): p. 1603-1615.
[37] Ba├▒uls, V.A. and M. Turoff, Scenario construction via Delphi and crossimpact analysis. Technological Forecasting and Social Change, 2011. 78(9): p. 1579-1602.
[38] Tseng, F.-M., A.-C. Cheng, and Y.-N. Peng, Assessing market penetration combining scenario analysis, Delphi, and the technological substitution model: The case of the OLED TV market. Technological Forecasting and Social Change, 2009. 76(7): p. 897-909.
[39] Turoff, M., The design of a policy Delphi. Technological Forecasting and Social Change, 1970. 2(2): p. 149-171.
[40] Tapio, P., Disaggregative policy Delphi: Using cluster analysis as a tool for systematic scenario formation. Technological Forecasting and Social Change, 2003. 70(1): p. 83-101.
[41] Gordon, T. and A. Pease, RT Delphi: An efficient, "round-less" almost real time Delphi method. Technological Forecasting and Social Change, 2006. 73(4): p. 321-333.
[42] Gnatzy, T., et al., Validating an innovative real-time Delphi approach - A methodological comparison between real-time and conventional Delphi studies. Technological Forecasting and Social Change, 2011. 78(9): p. 1681-1694.
[43] Chih-Hung, H., et al. The comparison of online Delphi and real-time Delphi. in Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET '11:. 2011.
[44] Rowe, G. and G. Wright, The Delphi technique as a forecasting tool: issues and analysis. International Journal of Forecasting, 1999. 15(4): p. 353-375.
[45] Chakravarti, A.K., et al., Modified Delphi Methodology for Technology Forecasting Case Study of Electronics and Information Technology in India. Technological Forecasting and Social Change, 1998. 58(1-2): p. 155-165.
[46] Shin, T., Using Delphi for a Long-Range Technology Forecasting, and Assessing Directions of Future R&D Activities The Korean Exercise. Technological Forecasting and Social Change, 1998. 58(1-2): p. 125- 154.
[47] Andersen, P.D., et al., Sensor foresightÔÇötechnology and market. Technovation, 2004. 24(4): p. 311-320.
[48] Czaplicka-Kolarz, K., K. Stańczyk, and K. Kapusta, Technology foresight for a vision of energy sector development in Poland till 2030. Delphi survey as an element of technology foresighting. Technological Forecasting and Social Change, 2009. 76(3): p. 327-338.
[49] von der Gracht, H.A. and I.-L. Darkow, Scenarios for the logistics services industry: A Delphi-based analysis for 2025. International Journal of Production Economics, 2010. 127(1): p. 46-59.
[50] Linz, M., Scenarios for the aviation industry: A Delphi-based analysis for 2025. Journal of Air Transport Management, 2012. 22(0): p. 28-35.
[51] Schuckmann, S.W., et al., Analysis of factors influencing the development of transport infrastructure until the year 2030 ÔÇö A Delphi based scenario study. Technological Forecasting and Social Change, 2012. 79(8): p. 1373-1387.
[52] Phaal, R., C.J.P. Farrukh, and D.R. Probert, Technology management tools: concept, development and application. Technovation, 2006. 26(3): p. 336-344.
[53] Giffinger, R. and H. Gudrun, Smart cities ranking: an effective instrument for the positioning of the cities? ACE: Architecture, City and Environment, 2010. 4(12): p. 7-26.
[54] Lee, J.H., R. Phaal, and S.-H. Lee, An integrated service-devicetechnology roadmap for smart city development. Technological Forecasting and Social Change, 2013. 80(2): p. 286-306.
[55] Gordon, T., Cross-Impact Method. 1994, United Nations University Millennium Project.