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The Asian Media & Mass Communication Conference 2010 Osaka, Japan independent. Considering the interdependent relation among factors, another decision making approach, analytic network process (ANP), can be applied to handle such problems. Moreover, AHP ignores the fuzziness of executives’ judgment during the decision-making process. We suggest that follow-up researchers could analyze this topic with the concept of fuzzy sets. References Balachandra, R. (1984). Critical signals for making Go/NoGo decisions in new product development. Journal of Product Innovation Management, 1, 92-100. Benson, B., Sage, A. P., and Cook, G. (1993). Emerging technology-evaluation methodology: With application to micro-electromechanical systems. IEEE Transactions on Engineering Management, 40, 114-123. Cebeci, U. (2009). Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard. Expert Systems with Applications, 36, 8900-8909. Chang, D. R., and Cho, H. (2008). Organizational memory influences new product success. Journal of Business <strong>Research</strong>, 61, 13-23. Chang, W. C., Tung, Y. C., Huang, C. H., and Yang, M. C. (2008). Performance improvement after implementing the balanced scorecard: A large hospital’s experience in Taiwan. Total Quality Management, 19(11), 1143-1154. Chen, M. Y., Huang, M. J., and Cheng, Y. C. (2009). Measuring knowledge management performance using a competitive perspective: An empirical study. Expert Systems with Applications, 36, 8449-8459. Cooper, R. G. (2001). Winning at new products: A accelerating the process from idea to launch (3rd ed.). MA: Perseus. Eilat, H., Golany, B., and Shtub, A. (2008). R&D project evaluation: An integrated DEA and balanced scorecard approach. Omega, 36, 895-912. Hubbard, G. (2009). Measuring organizational performance: Beyond the triple bottom line. Business Strategy and the Environment, 18, 177-191. Kaplan, R. S., and Norton, D. P. (1992). The balanced scorecard: Measures that drive performance. Harvard Business Review, 70, 71-79. Kaplan, R. S., and Norton, D. P. (1996). Using the balanced scorecard as a strategic management system. Harvard Business Review, 74, 75-85. Lee, A. H. I., Chen, W. C., and Chang, C. J. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications, 34, 96-107. Liao, S. H., Hsieh, C. L., and Huang, S. P. (2008). Mining product maps for new product development. Expert Systems with Applications, 34, 50-62. Liao, S. K., and Chang, K. L. (2009a). Selecting key capabilities of TV-shopping companies applying analytic network process. Asia Pacific Journal of Marketing and Logistics, 21(1), 161-173. Liao, S. K., and Chang, K. L. (2009b). Measure performance of hospitals using analytic network process (ANP). International Journal of Business Performance and Supply Chain Modelling, 1(2/3), 129-143. Liao and Chang (2010). Measuring the managerial performance of TV companies. Journal of Information and Optimization Sciences, 31(3), 603-623. McPhail, R., Herington, C., and Guilding, C. (2008). Human resource managers’ perceptions of the applications and merit of the balanced scorecard in hotels. International Journal of Hospitality Management, 27, 623-631. 525
The Asian Media & Mass Communication Conference 2010 Osaka, Japan Oh, Y., Suh, E. H., Hong, J., and Hwang, H. (2009). A feasibility test model for new telecom service development using MCDM method: A case study of video telephone service in Korea. Expert Systems with Applications, 36, 6375-6388. Ozer, M. (2005). Factors which influence decision making in new product evaluation. European Journal of Operational <strong>Research</strong>, 163, 784-801. Saaty, T. L. (1980). The analytic hierarchy process. NY: McGraw-Hill. Tseng, M. L. (2010). Implementation and performance evaluation using the fuzzy network balanced scorecard. Computers & Education, 55, 188-201. Wang, W. P. (2009). Evaluating new product development performance by fuzzy linguistic computing. Expert Systems with Applications, 36, 9759-9766. Wu, H. Y., Tzeng, G. H., and Chen, Y. H. (2009). A fuzzy MCDM approach for evaluating banking performance based on balanced scorecard. Expert Systems with Applications, 36, 10135-10147. Yüksel, İ., and Dağdeviren, M. (2010). Using the fuzzy analytic network process (ANP) for balanced scorecard (BSC): A case study for a manufacturing firm. Expert Systems with Applications, 37, 1270-1278. 526
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