How to cite this paper
Karaveg, C., Thawesaengskulthai, N & Chandrachai, A. (2015). A combined technique using SEM and TOPSIS for the commercialization capability of R & D project evaluation.Decision Science Letters , 4(3), 379-396.
Refrences
Agostino, D., Arena, M., Azzone, G., Molin, M. D., & Masella, C. (2012). Developing a performance measurement system for public research centres. Journal of Business Science and Applied Management, 7(1).
Amini, M., & Bienstock, C. C. (2014). Corporate sustainability: an integrative definition and framework to evaluate corporate practice and guide academic research. Journal of Cleaner Production, 1-8.
Anooj, P. K. (2013). Implementing Decision Tree Fuzzy Rules in Clinical Decision Support System after Comparing with Fuzzy Based and Neural Network Based Systems. Paper presented at the International Conference on IT Convergence and Security (ICITCS), Macao.
Apperson, C., Arefzadeh, F., Dinsmore, A., Grabowski, R., May, D., Morandi, K., . . . Jr., K. P. W. (2005). Project selection for technology investment. Systems and Information Engineering Design Symposium, 2005 IEEE
Banwet, D., & Deshmukh, S. (2008). Evaluating performance of national R & D organizations using integrated DEA-AHP technique. International journal of productivity and performance management, 57(5), 370-388.
Boyack, K. W., & Rahal, N. (2005). Evaluation of Laboratory Directed Research and Development investment areas at Sandia. Technological Forecasting & Social Change(72), 1122–1136. doi: 10.1016/j.techfore.2004.09.007
Büyük?zkan, G., & Cifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39, 3000-3011.
Byers, T. H., Dorf, R. C., & Nelson, A. J. (2011). Technology ventures : from idea to enterprise. New York: McGraw-Hill.
Callen, J. L., Gavious, I., & Segal, D. (2010). The complementary relationship between financial and non-financial information in the biotechnology industry and the degree of investor sophistication. Journal of Contemporary Accounting & Economics(6), 61–76. doi: 10.1016/j.jcae.2010.09.001
Cardinaels, E., M.G., P., & Veen-Dirks. (2010). Financial versus non-financial information: The impact of information organization and presentation in a Balanced Scorecard. Accounting, Organizations and Society(35), 565–578. doi: 10.1016/j.aos.2010.05.003
Chiesa, V., Frattini, F., Lazzarotti, V., & Manzini, R. (2009). Performance measurement of research and development activities. European Journal of Innovation Management, 12(1), 25-61. doi: 10.1108/14601060910928166
Coccia, M. (2003). Metrics of R & D Performance and Management of Public Research Labs. IEEE.
Collan, M., & Luukka, P. (2013). Evaluating R & D Projects as Investments by Using an Overall Ranking from Four New Fuzzy Similarity Measure Based TOPSIS Variants. Fuzzy Systems, IEEE Transactions, pp(99).
Frederick, H. H., & Kuratko, D. F. (2010). Entrepreneurship (2nd ed.). Sydney: 2nd Asia-Pacific Edition.
Gangurde, S. R., & Akarte, M. M. (2013). Customer preference oriented product design using AHP-modified TOPSIS approach. Benchmarking: An International Journal of Business Science and Applied Management, 20(4), 549-564.
Gemünden, H. G., Salomo, S., & H?lzle, K. (2007). Role Models for Radical Innovations in Times of Open Innovation. Creativity and Innovation Management, 16(4), 408-421. doi: 10.1111/j.1467-8691.2007.00451.x
Graettinger, C. P., Garcia-Miller, S., Siviy, J., Syckle, P. J. V., & Schenk, R. J. (2002). Using the Technology Readiness Levels Scale to Support Technology Management in the DoD & apos; s ATD/STO Environments (A Findings and Recommendations Report Conducted for Army CECOM)
Han, S. Y., & Bae, S. J. (2014). Internalization of R & D outsourcing: An empirical study. International Journal of Production Economics. 105, 58–73.
Herath, H. S. B., & Bremser, W. G. (2005). Real-option valuation of research and development investments: Implications for performance measurement. Managerial Auditing Journal, 20(1), 55-72. doi: 10.1108/02686900510570704
Jungwook, B., Yunbae, K., Byungchul, L., Bodum, C., & Chanmin, P. (2009). Analysis of the Factors to Affect Technology Transfer Fee in the Intellectual Property Management Paper presented at the Management of Engineering & Technology, 2009. PICMET 2009., Portland, OR.
Karimi, M., Moztarzadeh, F., Pakzad, A., Beynaghi, A., & Mozafari, M. (2012). Application of Fuzzy TOPSIS for Group Decision making in Evaluating Financial Risk Management. Paper presented at the International Conference on Innovation, Management and Technology Research (ICIMTR2012), 21-22 May, 2012, Malacca, Malaysia.
Kulatunga, U., Amaratunga, D., & Haigh, R. (2007). Performance measurement in the construction research and development. International journal of productivity and performance management, 56(8), 673-688. doi: 10.1108/17410400710832994
Kulatunga, U., Amaratunga, D., & Haigh, R. (2011). Structured approach to measure performance in construction research and development Performance measurement system development. International journal of productivity and performance management, 60(3), 289-310. doi: 10.1108/17410401111112005
Kwak, Y. H., & Dixon, C. K. (2008). Risk management framework for pharmaceutical research and development projects. International Journal of Managing Projects in Business, 1(4), 552-565. doi: 10.1108/17538370810906255
Lazzarotti, V., RaffaellaManzini, & LucaMari. (2011). A modelforR & Dperformancemeasurement. Int. J.ProductionEconomics(134), 212-223. doi: 10.1016/j.ijpe.2011.06.018
Liang, W.-Y. (2003). The analytic hierarchy process in project evaluation: An R & D case study in Taiwan. Benchmarking: An International Journal of Business Science and Applied Management, 10(5), 445 - 456.
Liao, C. H., Tseng, M. L., Lin, Y. H., & Ho, P. L. (2007). The Synergetic Impact of Manufacturing Strategy Development on Operations-Based Non-Financial Performance. Paper presented at the Industrial Engineering and Engineering Management, Singapore.
Liberatore, M. J. (1987). An extension of the analytic hierarchy process for industrial R & D project selection and resource allocation. Engineering Management, IEEE Transactions on Feb. 1987, 34(1), 12 - 18.
Lin, C.-T., & Tsai, M.-C. (2008). Location choice for direct foreign investment in new hospitals in China by using ANP and TOPSIS. Quality & Quantity, 44(2), 375-390
Liu, W., & Shi, C. (2009). Research on Scientific Research Capability Evaluation Model of National defense University Based on TOPSIS. Paper presented at the Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on 11-13 Dec. 2009, Wuhan.
Miller, K., McAdam, R., Moffett, S., & Brennan, M. (2011). An exploratory study of retaining and maintaining knowledge in university technology transfer processes. International Journal of Entrepreneurial Behaviour & Research, 17(6), 663-684. doi: 10.1108/13552551111174729
Mohanty, R., Agarwal, R., Choudhury, A., & Tiwari, M. (2005). A fuzzy ANP-based approach to R & D project selection: a case study. International Journal of Production Research, 43(24), 5199-5216.
Mu, J., & Benedetto, C. A. D. (2011). Strategic orientations and new product commercialization: mediator, Moderator, and interplay. R & D Management, 41(4), 337-359.
Nigro, G. L., Morreale, A., & Enea, G. (2014). Open innovation: A real option to restore value to the biopharmaceutical R & D. International Journal of Production Economics, 149, 183–193.
parsaeia, M., shahrakib, A., & shahgholianc, K. (2014). Selecting the best responsive option to unexpected orders at the time of capacity-shortage using multi criteria decision models. Decision Science Letters, 3, 375-390.
Paun, F. (2011). Demand Readiness Level as equilibrium tool for the hybridization between Technology Push and Market Pull Approaches.
Plewa, C., Korff, N., & Baaken, T. (2013). University–industry linkage evolution: an empirical investigation of relational success factors. R & D Management, 43(4), 365-380.
Popaitoon, S., & Siengthai, S. (2014). The moderating effect of human resource management practices on the relationship between knowledge absorptive capacity and project performance in project-oriented companies. Internation journal of project management, 32, 908-920.
Punniyamoorty, M., Mathiyalagan, P., & Lakshmi, G. (2012). A combined application of structural equation modeling (SEM) and analytic hierarchy process (AHP) in supplier selection. Benchmarking: An International Journal, 19(1), 70-92.
Raymond, L., & St-Pierre, J. (2010). R & D as a determinant of innovation in manufacturing SMEs: An attempt at empirical clarification. Technovation, 30(1), 48-56. doi: 10.1016/j.technovation.2009.05.005
Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process (Vol. 4922): RWS publications Pittsburgh.
Salehi, K. (2015). A hybrid fuzzy MCDM approach for project selection problem. Decision Science Letters, 4(1), 109-116.
Seebode, D., Jeanrenaud, S. & Bessant, J. (2012). Managing innovation for sustainability. R & D Management, 42(3), 195-206.
Singh, H., & Kumar, R. (2013). Hybrid methodology for measuring the utilization of advanced manufacturing technologies using AHP and TOPSIS. Benchmarking: An International Journal of Business Science and Applied Management, 20(2), 169-185.
Sohn, S. Y., Joo, Y. G. & Han, H. K. (2007). Structural equqtion model for the evaluation of national funding on R & D project of SMEs in consideration with MBNQA criteria. Evaluation and Program Planning, 30, 10-20.
Somsuk, N., Punnakitikashem, P., & Laosirihongthong, T. (2010). Determining Enabling Factors of University Technology Business Incubation Program: Resource-Based View Theory. Paper presented at the Industrial Engineering and Engineering Management (IEEM), Macao.
Stanley, R., Lillis, K. A., Zuspan, S. J., Lichenstein, R., Ruddy, R. M., Gerardi, M. J., . . . (PECARN), t. P. E. C. A. R. N. (2010). Development and implementation of a performance measure tool in an academic pediatric research network. Contemporary Clinical Trials(31), 429–437. doi: 10.1016/j.cct.2010.05.007
Tan, Y.-t., Shen, L.-y., Langston, C., & Liu, Y. (2010). Construction project selection using fuzzy TOPSIS approach. Journal of Modelling in Management, 5(3), 302-315.
Teece, D. J. (2010). Forward Integration and Innovation: Transaction Costs and Beyond. Journal of Retailing 86(3), 277-283.
Tidd, J., & Besssant, J. (2009). Managing Innovation. Chichester: Johm Wiley & Sons Ltd.
Thailand National science technology and innovation policy office.(2013). Review of the Thailand competitiveness. Retrieved September, 2013, from http://www.sti.or.th
United States Department of Energy. (2011.). Technology Readiness Assessment Guide (DOE G 413.3-4).
Vandaele, N. J., & Decouttere, C, J. (2013). Sustainable R & D portfolio assessment. Decision Support Systems, 54(4), 1521–1532.
Verbano, C., & Nosella, A. (2010). Addressing R & D investment decisions: a cross analysis of R & amp;D project selection methods. European Journal of Innovation Management, 13(3), 355-379. doi: 10.1108/14601061011060166
Wang, K., Wang, C. K., & Hu, C. (2005). Analytic hierarchy process with fuzzy scoring in evaluating multidisciplinary R & D projects in China. Engineering Management, IEEE Transactions on, 52(1), 119-129.
Wernerfelt, B. (1984). A resource-based view of the ?rm. . Strategic Management Journal, 5, 171-180.
Yongjian, K., Xinping, L., & Shouqing, W. (2008). Equitable Financial Evaluation Method for Public-Private Partnership Projects. TSINGHUA SCIENCE AND TECHNOLOGY, 13(5), 702-707. doi: 10.1016/S1007-0214(08)70111-1
Yoon, P., & Hwnag, C.-L. (1995). Multiple Attribute Decision Making an Introduction. CA: Sage.
Yu, T., Zhou, J., Zhao, K., Wang, W., & Wang, W. (2008). Study on Project Experts’ Evaluation Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation. Paper presented at the Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on 20-22 Oct. 2008, Hunan.
Amini, M., & Bienstock, C. C. (2014). Corporate sustainability: an integrative definition and framework to evaluate corporate practice and guide academic research. Journal of Cleaner Production, 1-8.
Anooj, P. K. (2013). Implementing Decision Tree Fuzzy Rules in Clinical Decision Support System after Comparing with Fuzzy Based and Neural Network Based Systems. Paper presented at the International Conference on IT Convergence and Security (ICITCS), Macao.
Apperson, C., Arefzadeh, F., Dinsmore, A., Grabowski, R., May, D., Morandi, K., . . . Jr., K. P. W. (2005). Project selection for technology investment. Systems and Information Engineering Design Symposium, 2005 IEEE
Banwet, D., & Deshmukh, S. (2008). Evaluating performance of national R & D organizations using integrated DEA-AHP technique. International journal of productivity and performance management, 57(5), 370-388.
Boyack, K. W., & Rahal, N. (2005). Evaluation of Laboratory Directed Research and Development investment areas at Sandia. Technological Forecasting & Social Change(72), 1122–1136. doi: 10.1016/j.techfore.2004.09.007
Büyük?zkan, G., & Cifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39, 3000-3011.
Byers, T. H., Dorf, R. C., & Nelson, A. J. (2011). Technology ventures : from idea to enterprise. New York: McGraw-Hill.
Callen, J. L., Gavious, I., & Segal, D. (2010). The complementary relationship between financial and non-financial information in the biotechnology industry and the degree of investor sophistication. Journal of Contemporary Accounting & Economics(6), 61–76. doi: 10.1016/j.jcae.2010.09.001
Cardinaels, E., M.G., P., & Veen-Dirks. (2010). Financial versus non-financial information: The impact of information organization and presentation in a Balanced Scorecard. Accounting, Organizations and Society(35), 565–578. doi: 10.1016/j.aos.2010.05.003
Chiesa, V., Frattini, F., Lazzarotti, V., & Manzini, R. (2009). Performance measurement of research and development activities. European Journal of Innovation Management, 12(1), 25-61. doi: 10.1108/14601060910928166
Coccia, M. (2003). Metrics of R & D Performance and Management of Public Research Labs. IEEE.
Collan, M., & Luukka, P. (2013). Evaluating R & D Projects as Investments by Using an Overall Ranking from Four New Fuzzy Similarity Measure Based TOPSIS Variants. Fuzzy Systems, IEEE Transactions, pp(99).
Frederick, H. H., & Kuratko, D. F. (2010). Entrepreneurship (2nd ed.). Sydney: 2nd Asia-Pacific Edition.
Gangurde, S. R., & Akarte, M. M. (2013). Customer preference oriented product design using AHP-modified TOPSIS approach. Benchmarking: An International Journal of Business Science and Applied Management, 20(4), 549-564.
Gemünden, H. G., Salomo, S., & H?lzle, K. (2007). Role Models for Radical Innovations in Times of Open Innovation. Creativity and Innovation Management, 16(4), 408-421. doi: 10.1111/j.1467-8691.2007.00451.x
Graettinger, C. P., Garcia-Miller, S., Siviy, J., Syckle, P. J. V., & Schenk, R. J. (2002). Using the Technology Readiness Levels Scale to Support Technology Management in the DoD & apos; s ATD/STO Environments (A Findings and Recommendations Report Conducted for Army CECOM)
Han, S. Y., & Bae, S. J. (2014). Internalization of R & D outsourcing: An empirical study. International Journal of Production Economics. 105, 58–73.
Herath, H. S. B., & Bremser, W. G. (2005). Real-option valuation of research and development investments: Implications for performance measurement. Managerial Auditing Journal, 20(1), 55-72. doi: 10.1108/02686900510570704
Jungwook, B., Yunbae, K., Byungchul, L., Bodum, C., & Chanmin, P. (2009). Analysis of the Factors to Affect Technology Transfer Fee in the Intellectual Property Management Paper presented at the Management of Engineering & Technology, 2009. PICMET 2009., Portland, OR.
Karimi, M., Moztarzadeh, F., Pakzad, A., Beynaghi, A., & Mozafari, M. (2012). Application of Fuzzy TOPSIS for Group Decision making in Evaluating Financial Risk Management. Paper presented at the International Conference on Innovation, Management and Technology Research (ICIMTR2012), 21-22 May, 2012, Malacca, Malaysia.
Kulatunga, U., Amaratunga, D., & Haigh, R. (2007). Performance measurement in the construction research and development. International journal of productivity and performance management, 56(8), 673-688. doi: 10.1108/17410400710832994
Kulatunga, U., Amaratunga, D., & Haigh, R. (2011). Structured approach to measure performance in construction research and development Performance measurement system development. International journal of productivity and performance management, 60(3), 289-310. doi: 10.1108/17410401111112005
Kwak, Y. H., & Dixon, C. K. (2008). Risk management framework for pharmaceutical research and development projects. International Journal of Managing Projects in Business, 1(4), 552-565. doi: 10.1108/17538370810906255
Lazzarotti, V., RaffaellaManzini, & LucaMari. (2011). A modelforR & Dperformancemeasurement. Int. J.ProductionEconomics(134), 212-223. doi: 10.1016/j.ijpe.2011.06.018
Liang, W.-Y. (2003). The analytic hierarchy process in project evaluation: An R & D case study in Taiwan. Benchmarking: An International Journal of Business Science and Applied Management, 10(5), 445 - 456.
Liao, C. H., Tseng, M. L., Lin, Y. H., & Ho, P. L. (2007). The Synergetic Impact of Manufacturing Strategy Development on Operations-Based Non-Financial Performance. Paper presented at the Industrial Engineering and Engineering Management, Singapore.
Liberatore, M. J. (1987). An extension of the analytic hierarchy process for industrial R & D project selection and resource allocation. Engineering Management, IEEE Transactions on Feb. 1987, 34(1), 12 - 18.
Lin, C.-T., & Tsai, M.-C. (2008). Location choice for direct foreign investment in new hospitals in China by using ANP and TOPSIS. Quality & Quantity, 44(2), 375-390
Liu, W., & Shi, C. (2009). Research on Scientific Research Capability Evaluation Model of National defense University Based on TOPSIS. Paper presented at the Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on 11-13 Dec. 2009, Wuhan.
Miller, K., McAdam, R., Moffett, S., & Brennan, M. (2011). An exploratory study of retaining and maintaining knowledge in university technology transfer processes. International Journal of Entrepreneurial Behaviour & Research, 17(6), 663-684. doi: 10.1108/13552551111174729
Mohanty, R., Agarwal, R., Choudhury, A., & Tiwari, M. (2005). A fuzzy ANP-based approach to R & D project selection: a case study. International Journal of Production Research, 43(24), 5199-5216.
Mu, J., & Benedetto, C. A. D. (2011). Strategic orientations and new product commercialization: mediator, Moderator, and interplay. R & D Management, 41(4), 337-359.
Nigro, G. L., Morreale, A., & Enea, G. (2014). Open innovation: A real option to restore value to the biopharmaceutical R & D. International Journal of Production Economics, 149, 183–193.
parsaeia, M., shahrakib, A., & shahgholianc, K. (2014). Selecting the best responsive option to unexpected orders at the time of capacity-shortage using multi criteria decision models. Decision Science Letters, 3, 375-390.
Paun, F. (2011). Demand Readiness Level as equilibrium tool for the hybridization between Technology Push and Market Pull Approaches.
Plewa, C., Korff, N., & Baaken, T. (2013). University–industry linkage evolution: an empirical investigation of relational success factors. R & D Management, 43(4), 365-380.
Popaitoon, S., & Siengthai, S. (2014). The moderating effect of human resource management practices on the relationship between knowledge absorptive capacity and project performance in project-oriented companies. Internation journal of project management, 32, 908-920.
Punniyamoorty, M., Mathiyalagan, P., & Lakshmi, G. (2012). A combined application of structural equation modeling (SEM) and analytic hierarchy process (AHP) in supplier selection. Benchmarking: An International Journal, 19(1), 70-92.
Raymond, L., & St-Pierre, J. (2010). R & D as a determinant of innovation in manufacturing SMEs: An attempt at empirical clarification. Technovation, 30(1), 48-56. doi: 10.1016/j.technovation.2009.05.005
Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process (Vol. 4922): RWS publications Pittsburgh.
Salehi, K. (2015). A hybrid fuzzy MCDM approach for project selection problem. Decision Science Letters, 4(1), 109-116.
Seebode, D., Jeanrenaud, S. & Bessant, J. (2012). Managing innovation for sustainability. R & D Management, 42(3), 195-206.
Singh, H., & Kumar, R. (2013). Hybrid methodology for measuring the utilization of advanced manufacturing technologies using AHP and TOPSIS. Benchmarking: An International Journal of Business Science and Applied Management, 20(2), 169-185.
Sohn, S. Y., Joo, Y. G. & Han, H. K. (2007). Structural equqtion model for the evaluation of national funding on R & D project of SMEs in consideration with MBNQA criteria. Evaluation and Program Planning, 30, 10-20.
Somsuk, N., Punnakitikashem, P., & Laosirihongthong, T. (2010). Determining Enabling Factors of University Technology Business Incubation Program: Resource-Based View Theory. Paper presented at the Industrial Engineering and Engineering Management (IEEM), Macao.
Stanley, R., Lillis, K. A., Zuspan, S. J., Lichenstein, R., Ruddy, R. M., Gerardi, M. J., . . . (PECARN), t. P. E. C. A. R. N. (2010). Development and implementation of a performance measure tool in an academic pediatric research network. Contemporary Clinical Trials(31), 429–437. doi: 10.1016/j.cct.2010.05.007
Tan, Y.-t., Shen, L.-y., Langston, C., & Liu, Y. (2010). Construction project selection using fuzzy TOPSIS approach. Journal of Modelling in Management, 5(3), 302-315.
Teece, D. J. (2010). Forward Integration and Innovation: Transaction Costs and Beyond. Journal of Retailing 86(3), 277-283.
Tidd, J., & Besssant, J. (2009). Managing Innovation. Chichester: Johm Wiley & Sons Ltd.
Thailand National science technology and innovation policy office.(2013). Review of the Thailand competitiveness. Retrieved September, 2013, from http://www.sti.or.th
United States Department of Energy. (2011.). Technology Readiness Assessment Guide (DOE G 413.3-4).
Vandaele, N. J., & Decouttere, C, J. (2013). Sustainable R & D portfolio assessment. Decision Support Systems, 54(4), 1521–1532.
Verbano, C., & Nosella, A. (2010). Addressing R & D investment decisions: a cross analysis of R & amp;D project selection methods. European Journal of Innovation Management, 13(3), 355-379. doi: 10.1108/14601061011060166
Wang, K., Wang, C. K., & Hu, C. (2005). Analytic hierarchy process with fuzzy scoring in evaluating multidisciplinary R & D projects in China. Engineering Management, IEEE Transactions on, 52(1), 119-129.
Wernerfelt, B. (1984). A resource-based view of the ?rm. . Strategic Management Journal, 5, 171-180.
Yongjian, K., Xinping, L., & Shouqing, W. (2008). Equitable Financial Evaluation Method for Public-Private Partnership Projects. TSINGHUA SCIENCE AND TECHNOLOGY, 13(5), 702-707. doi: 10.1016/S1007-0214(08)70111-1
Yoon, P., & Hwnag, C.-L. (1995). Multiple Attribute Decision Making an Introduction. CA: Sage.
Yu, T., Zhou, J., Zhao, K., Wang, W., & Wang, W. (2008). Study on Project Experts’ Evaluation Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation. Paper presented at the Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on 20-22 Oct. 2008, Hunan.