AN INTEGRATED INTERPRETIVE STRUCTURAL MODELING–FUZZY ANALYTIC NETWORK PROCESS–BENEFITS, OPPORTUNITIES, COSTS AND RISKS MODEL FOR SELECTING TECHNOLOGIES

Amy H. I. Lee (), He-Yau Kang () and Chao-Cheng Chang ()
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Amy H. I. Lee: Department of Technology Management and Department of Industrial Management, Chung Hua University, No. 707, Sec. 2, WuFu Rd., Hsinchu 300, Taiwan
He-Yau Kang: Department of Industrial Engineering and Management, National Chin-Yi University of Technology, 35, Lane 215, Sec. 1, Chung San Rd, Taiping, Taichung 411, Taiwan
Chao-Cheng Chang: Department of Industrial Engineering and Management, National Chin-Yi University of Technology, 35, Lane 215, Sec. 1, Chung San Rd, Taiping, Taichung 411, Taiwan

International Journal of Information Technology & Decision Making (IJITDM), 2011, vol. 10, issue 05, 843-871

Abstract: Technology evaluation has been increasingly important because of the pressing needs of new product introduction in a competitive global market. To select the most appropriate technology, a firm needs to have a robust technology evaluation framework to evaluate several technology candidates based on multiple criteria and evaluated by multiple experts. Thus, this paper presents an integrated model for evaluating various technologies for New Product Development (NPD). A network that takes into account the benefits, opportunities, costs, and risks (BOCR) aspects of different technologies is constructed first, and interpretive structural modeling (ISM) is applied next to determine the interrelationships among the factors. Finally, fuzzy analytic network process (FANP) is used to facilitate the evaluation process of decision makers under an uncertain environment with interrelated factors. The proposed model is applied in a flat panel manufacturer in selecting the most suitable panel technology.

Keywords: Interpretive structural modeling (ISM); fuzzy analytic network process (FANP); benefits; opportunities; costs; and risks (BOCR); technology selection; flat panel; 22E46; 53C35; 57S20 (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (4)

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DOI: 10.1142/S0219622011004592

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