A novel MCDM combining DEMATEL technique for technology evaluation

This research aims to propose a hybrid process concerning the complex interactive relationship between different economic and industrial prospects towards a more effective evaluation on new technology. To achieve this purpose, the integration of the Decision Making Trial and Evaluation Laboratory (DEMATEL) technique and the analytic network process (ANP) is employed to construct a technology evaluation model regarding the economic and industrial prospects. The emerging organic light emitting diode (OLED) display technology is used as a case in order to verify the applicability of proposed a novel hybrid MCDM method for the technology evaluation. The result of this hybrid process can help top managers of technology-based companies or policy makers of governments to more objectively and effectively determine future research and development direction.

[1]  Şenol Erdoğmuş,et al.  Evaluating high-tech alternatives by using analytic network process with BOCR and multiactors , 2005 .

[2]  Mary Tripsas,et al.  Thinking About Technology: Applying a Cognitive Lens to Technical Change , 2008 .

[3]  Ami Arbel,et al.  A decision framework for evaluating vacuum pumping technology , 1986 .

[4]  Albert N. Link,et al.  An analysis of policy initiatives to promote strategic research partnerships , 2002 .

[5]  Larry Willmore,et al.  Technological Imports and Technological Effort: An Analysis of Their Determinants in Brazilian Firms , 1991 .

[6]  M. Lange,et al.  Patent indicators for the technology life cycle development , 2007 .

[7]  Gwo-Hshiung Tzeng,et al.  Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL , 2007, Expert Syst. Appl..

[8]  Matthew J. Liberatore,et al.  Expert Support Systems for New Product Development Decision Making: A Modeling Framework and Applications , 1995 .

[9]  Paul C. Ivey,et al.  An R&D options selection model for investment decisions , 2005 .

[10]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[11]  Wm. E. Souder,et al.  A filter system for technology evaluation and selection , 1993 .

[12]  S. Weingart,et al.  Acquiring Advanced Technology: Decision-making Strategies at Twelve Medical Centers , 1993, International Journal of Technology Assessment in Health Care.

[13]  Thomas L. Saaty,et al.  An Analytic Network Process Model for Financial-Crisis Forecasting , 2004 .

[14]  A. Gabus,et al.  Perceptions of the world problematique: communication procedure, communicating with those bearing collective responsibility , 1973 .

[15]  G. Tzeng,et al.  Reconfiguring the innovation policy portfolios for Taiwan's SIP Mall industry , 2007 .

[16]  H. Aras,et al.  Evaluation of alternative fuels for residential heating in Turkey using analytic network process (ANP) with group decision-making , 2006 .

[17]  Tzeng Gwo-Hshiung,et al.  Application of multicriteria decision making to the evaluation of new energy system development in Taiwan , 1992 .

[18]  Mike Gregory,et al.  Industrial concerns in technology selection , 1997, Innovation in Technology Management. The Key to Global Leadership. PICMET '97.

[19]  M. Torkkeli,et al.  The contribution of technology selection to core competencies , 2002 .

[20]  Charles Baden-Fuller,et al.  Lessons from the Celltech Case: Balancing Knowledge Exploration and Exploitation in Organizational Renewal , 1999 .

[21]  Yong-Gil Lee,et al.  Selecting the key research areas in nano-technology field using technology cluster analysis: A case study based on National R&D Programs in South Korea , 2007 .

[22]  T. Khalil,et al.  Management of Technology: The Key to Competitiveness and Wealth Creation , 2012 .

[23]  Robert Phaal,et al.  From theory to practice: challenges in operationalising a technology selection framework , 2006 .

[24]  Gwo-Hshiung Tzeng,et al.  Combined MCDM techniques for exploring stock selection based on Gordon model , 2009, Expert Syst. Appl..

[25]  Holger Ernst,et al.  The Use of Patent Data for Technological Forecasting: The Diffusion of CNC-Technology in the Machine Tool Industry , 1997 .

[26]  Gwo-Hshiung Tzeng,et al.  Building an effective safety management system for airlines , 2008 .

[27]  Markku Tuominen,et al.  A framework for group decision support systems: An application in the evaluation of information technology for logistics firms , 2006 .

[28]  K B Clark,et al.  What strategy can do for technology. The five rules of technology leadership. , 1989, Harvard business review.

[29]  Pin-Yu Chu,et al.  A fuzzy AHP application in government-sponsored R&D project selection☆ , 2008 .

[30]  Wei-Wen Wu,et al.  Choosing knowledge management strategies by using a combined ANP and DEMATEL approach , 2008, Expert Syst. Appl..

[31]  T. L. Saaty,et al.  Decision making with dependence and feedback , 2001 .

[32]  Daniel A. Levinthal,et al.  Demand Heterogeneity and Technology Evolution: Implications for Product and Process Innovation , 2001, Manag. Sci..

[33]  Gwo-Hshiung Tzeng,et al.  A value-created system of science (technology) park by using DEMATEL , 2009, Expert Syst. Appl..

[34]  Joseph Sarkis,et al.  Analyzing organizational project alternatives for agile manufacturing processes: An analytical network approach , 1999 .

[35]  Joseph G. Morone,et al.  Strategic Use of Technology , 1989 .

[36]  John Buchanan,et al.  Dynamic decision problem structuring , 2001 .

[37]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[38]  Gwo-Hshiung Tzeng,et al.  A VIKOR-Based Multiple Criteria Decision Method for Improving Information Security Risk , 2009, Int. J. Inf. Technol. Decis. Mak..