How to cite this paper
Ghassemi, A & Amalnick, M. (2018). NPD project portfolio selection using reinvestment strategy in competitive environment.International Journal of Industrial Engineering Computations , 9(1), 47-62.
Refrences
Abbassi, M., Ashrafi, M., & Sharifi Tashnizi, E. (2014). Selecting balanced portfolios of R&D projects with interdependencies: A cross-entropy based methodology. Technovation, 34(1), 54–63.
Ahari, S. G., Ghaffari-Nasab, N., Makui, A., & Ghodsypour, S. H. (2011). A portfolio selection using fuzzy analytic hierarchy process: A case study of Iranian pharmaceutical industry. International Journal of Industrial Engineering Computations, 2(2), 225–236.
Archer, N., & Ghasemzadeh, F. (1999). An integrated framework for project portfolio selection. International Journal of Project Management, 17(4), 207–216.
Bardhan, I., Bagchi, S., & Sougstad, R. (2004, January). A real options approach for prioritization of a portfolio of information technology projects: a case study of a utility company. In System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on (pp. 11-pp). IEEE.
Beheshti Pour, B., Noori, S., & Hosnavi Atashgah, R. (2013). Project selection problem under uncertainty: An application of utility theory and chance constrained programming to a real case. International Journal of Industrial Engineering Computations, 4(3), 373–386.
Belenky, A. S. (2012). A Boolean programming problem of choosing an optimal portfolio of projects and optimal schedules for them by reinvesting within the portfolio the profit from project implementation. Applied Mathematics Letters, 25(10), 1279–1284.
Bhaskaran, S. R., & Ramachandran, K. (2011). Managing technology selection and development risk in competitive environments. Production and Operations Management, 20(4), 541–555.
Bitman, W., & Sharif, N. (2008). A conceptual framework for ranking R&D projects. IEEE Transactions on Engineering Management, 55(2), 267–278.
Boone, J. (2001). Intensity of competition and the incentive to innovate. International Journal of Industrial Organization, 19(5), 705–726.
Brandão, L. E., & Dyer, J. S. (2011). Valuing real options projects with correlated uncertainties. Journal of Real Options, 1(1), 18-32.
Canbolat, P. G., Golany, B., Mund, I., & Rothblum, U. G. (2012). A Stochastic Competitive R&D Race Where “Winner Takes All.” Operations Research, 60(3), 700–715.
Carazo, A. F., Gómez, T., Molina, J., Hernández-Díaz, A. G., Guerrero, F. M., & Caballero, R. (2010). Solving a comprehensive model for multiobjective project portfolio selection. Computers and Operations Research, 37(4), 630–639.
Carlsson, C., Fullér, R., Heikkilä, M., & Majlender, P. (2007). A fuzzy approach to R&D project portfolio selection. International Journal of Approximate Reasoning, 44(2), 93–105.
Chao, R. O., & Kavadias, S. (2008). A theoretical framework for managing the new product development portfolio: When and how to use strategic buckets. Management Science, 54(5), 907–921.
Clark, R. E. (1989). Current progress and future directions for research in instructional technology. Educational Technology Research and Development, 37(1), 57–66.
Coffin, M. A., & Taylor III, B. W. (1996). Multiple criteria R&D project selection and scheduling using fuzzy logic. Computers & Operations Research, 23(3), 207–220.
Dutra, C. C., Ribeiro, J. L. D., & De Carvalho, M. M. (2014). An economic-probabilistic model for project selection and prioritization. International Journal of Project Management, 32(6), 1042–1055.
Eilat, H., Golany, B., & Shtub, A. (2006). Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology. European Journal of Operational Research, 172(3), 1018–1039.
Etro, F. (2007). Competition, innovation, and antitrust: A theory of market leaders and its policy implications. Berlin ; New York: Springer.
García-Melón, M., Poveda-Bautista, R., & Del Valle M., J. L. (2015). Using the strategic relative alignment index for the selection of portfolio projects application to a public Venezuelan Power Corporation. International Journal of Production Economics, 170, 54–66.
Gemici-Ozkan, B., Wu, S. D., Linderoth, J. T., & Moore, J. E. (2010). OR PRACTICE—R&D Project Portfolio Analysis for the Semiconductor Industry. Operations Research, 58(6), 1548–1563.
Gerchak, Y., & Parlar, M. (1999). Allocating resources to research and development projects in a competitive environment. Iie Transactions, 31(9), 827–834.
Ghapanchi, A. H., Tavana, M., Khakbaz, M. H., & Low, G. (2012). A methodology for selecting portfolios of projects with interactions and under uncertainty. International Journal of Project Management, 30(7), 791–803.
Ghasemzadeh, F., & Archer, N. P. (2000). Project portfolio selection through decision support. Decision Support Systems, 29(1), 73–88.
Golany, B., & Rothblum, U. G. (2008). Optimal investment in development projects. Operations Research Letters, 36(6), 657–661.
Green, J., & Scotchmer, S. (1995). On the division of profit in sequential innovation. The RAND Journal of Economics, 26(1), 20–33.
GZ. (1991). Optimal sequencing and resource allocation in R&D projects. Management Science, 37(2), 140–156.
Hassanzadeh, F., Nemati, H., & Sun, M. (2014). Robust optimization for interactive multiobjective programming with imprecise information applied to R&D project portfolio selection. European Journal of Operational Research, 238(1), 41–53.
Iamratanakul, S., Patanakul, P., & Milosevic, D. (2008). Project portfolio selection: From past to present. 2008 4th IEEE International Conference on Management of Innovation and Technology, 287–292.
Imai, J., & Watanabe, T. (2006). The Investment Game under Uncertainty : An Analysis of Equilibrium Values in the Presence of First or Second Mover Advantage. In Science (p. 151). World Scientific.
Jafarzadeh, M., Tareghian, H. R., Rahbarnia, F., & Ghanbari, R. (2015). Optimal selection of project portfolios using reinvestment strategy within a flexible time horizon. European Journal of Operational Research, 243(2), 658–664.
Jelassi, M. M. (1999). On closed-form solutions of a resource allocation problem in parallel funding of R & D projects. Retrieved from http://www.ie.bilkent.edu.tr/~mustafap/pubs/resource_parallel.ps
Kang, D. (2005). Corporate Distress and Restructuring Policy of Korean Small and Medium-sized Enterprises: Role of Credit Guarantee Scheme, (July).
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.
Kettunen, J., Grushka-Cockayne, Y., Degraeve, Z., & De Reyck, B. (2015). New product development flexibility in a competitive environment. European Journal of Operational Research, 244(3), 892–904.
Khalili-Damghani, K., Sadi-Nezhad, S., Lotfi, F. H., & Tavana, M. (2013). A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection. Information Sciences, 220, 442–462.
Krishnan, V., & Ulrich, K. T. (2001). Product development decisions: A review of the literature. Management Science, 47(1), 1–21.
Liesiö, J., Mild, P., & Salo, A. (2007). Preference programming for robust portfolio modeling and project selection. European Journal of Operational Research, 181(3), 1488–1505.
Liesiö, J., Mild, P., & Salo, A. (2008). Robust portfolio modeling with incomplete cost information and project interdependencies. European Journal of Operational Research, 190(3), 679–695.
Liesiö, J., & Salo, A. (2012). Scenario-based portfolio selection of investment projects with incomplete probability and utility information. European Journal of Operational Research, 217(1), 162–172.
Lin, P., & Zhou, W. (2013). The effects of competition on the R&D portfolios of multiproduct firms. International Journal of Industrial Organization, 31(1), 83–91.
Loch, C. H., & Kavadias, S. (2008). Managing new product development: An evolutionary. Handbook of New Product Development Management.
Lunn, J., & Martin, S. (1986). Market structure, firm structure, and research and development. Quarterly Review of Economics and Business, 26(1), 31-44.
Mavrotas, G., & Pechak, O. (2013). The trichotomic approach for dealing with uncertainty in project portfolio selection: Combining MCDA, mathematical programming and Monte Carlo simulation. International Journal of Multicriteria Decision Making, 3(1), 79–96.
Medaglia, A. L., Graves, S. B., & Ringuest, J. L. (2007). A multiobjective evolutionary approach for linearly constrained project selection under uncertainty. European Journal of Operational Research, 179(3), 869–894.
Mehrez, A., & Sinuany-Stern, Z. (1983). Resource allocation to interrelated risky projects using a multiattribute utility function. Management Science, 29(4), 430–439.
Meskendahl, S. (2010). The influence of business strategy on project portfolio management and its success - A conceptual framework. International Journal of Project Management, 28(8), 807–817. http://doi.org/10.1016/j.ijproman.2010.06.007
Mitchell, S., Mitchell, S., Consulting, S. M., & Dunning, I. (2011). PuLP: A Linear Programming Toolkit for Python. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4985
Mohanty, R. P., Agarwal, R., Choudhury, a. K., & Tiwari, M. K. (2005). A fuzzy ANP-based approach to R&D project selection: A case study. International Journal of Production Research, 43(24), 5199–5216.
Pendharkar, P. C. (2014). A decision-making framework for justifying a portfolio of IT projects. International Journal of Project Management, 32(4), 625–639.
Rajabi Asadabadi, M. (2014). A hybrid QFD-based approach in addressing supplier selection problem in product improvement process. International Journal of Industrial Engineering Computations, 5(4), 543–560.
Salo, A., Keisler, J., & Morton, A. (2011). An Invitation to Portfolio Decision Analysis (pp. 3–27). http://doi.org/10.1007/978-1-4419-9943-6_1
Shakhsi-Niaei, M., Torabi, S. A., & Iranmanesh, S. H. (2011). A comprehensive framework for project selection problem under uncertainty and real-world constraints. Computers and Industrial Engineering, 61(1), 226–237.
Shenhar, A. J., Dvir, D., Levy, O., & Maltz, A. C. (2001). Project success: A multidimensional strategic concept. Long Range Planning, 34(6), 699–725.
Solak, S., Clarke, J. P. B., Johnson, E. L., & Barnes, E. R. (2010). Optimization of R&D project portfolios under endogenous uncertainty. European Journal of Operational Research, 207(1), 420–433.
Souza, G. C. (2004). Product introduction decisions in a duopoly. European Journal of Operational Research, 152(3), 745–757.
Vilkkumaa, E., Liesiö, J., & Salo, A. (2014). Optimal strategies for selecting project portfolios using uncertain value estimates. European Journal of Operational Research, 233(3), 772–783.
Wang, B., & Song, Y. (2016). Reinvestment strategy-based project portfolio selection and scheduling with time-dependent budget limit considering time value of capital (pp. 373–381). Springer, Berlin, Heidelberg. http://doi.org/10.1007/978-3-662-49370-0_39
Wang, J., & Hwang, W. L. (2007). A fuzzy set approach for R&D portfolio selection using a real options valuation model. Omega, 35(3), 247–257.
Wang, J., & Yang, C. Y. (2012). Flexibility planning for managing R&D projects under risk. International Journal of Production Economics, 135(2), 823–831.
Wei, C. C., & Chang, H. W. (2011). A new approach for selecting portfolio of new product development projects. Expert Systems with Applications, 38(1), 429–434.
Xiang, H., & Yang, Z. (2015). Investment timing and capital structure with loan guarantees. Finance Research Letters, 13, 179–187.
Ahari, S. G., Ghaffari-Nasab, N., Makui, A., & Ghodsypour, S. H. (2011). A portfolio selection using fuzzy analytic hierarchy process: A case study of Iranian pharmaceutical industry. International Journal of Industrial Engineering Computations, 2(2), 225–236.
Archer, N., & Ghasemzadeh, F. (1999). An integrated framework for project portfolio selection. International Journal of Project Management, 17(4), 207–216.
Bardhan, I., Bagchi, S., & Sougstad, R. (2004, January). A real options approach for prioritization of a portfolio of information technology projects: a case study of a utility company. In System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on (pp. 11-pp). IEEE.
Beheshti Pour, B., Noori, S., & Hosnavi Atashgah, R. (2013). Project selection problem under uncertainty: An application of utility theory and chance constrained programming to a real case. International Journal of Industrial Engineering Computations, 4(3), 373–386.
Belenky, A. S. (2012). A Boolean programming problem of choosing an optimal portfolio of projects and optimal schedules for them by reinvesting within the portfolio the profit from project implementation. Applied Mathematics Letters, 25(10), 1279–1284.
Bhaskaran, S. R., & Ramachandran, K. (2011). Managing technology selection and development risk in competitive environments. Production and Operations Management, 20(4), 541–555.
Bitman, W., & Sharif, N. (2008). A conceptual framework for ranking R&D projects. IEEE Transactions on Engineering Management, 55(2), 267–278.
Boone, J. (2001). Intensity of competition and the incentive to innovate. International Journal of Industrial Organization, 19(5), 705–726.
Brandão, L. E., & Dyer, J. S. (2011). Valuing real options projects with correlated uncertainties. Journal of Real Options, 1(1), 18-32.
Canbolat, P. G., Golany, B., Mund, I., & Rothblum, U. G. (2012). A Stochastic Competitive R&D Race Where “Winner Takes All.” Operations Research, 60(3), 700–715.
Carazo, A. F., Gómez, T., Molina, J., Hernández-Díaz, A. G., Guerrero, F. M., & Caballero, R. (2010). Solving a comprehensive model for multiobjective project portfolio selection. Computers and Operations Research, 37(4), 630–639.
Carlsson, C., Fullér, R., Heikkilä, M., & Majlender, P. (2007). A fuzzy approach to R&D project portfolio selection. International Journal of Approximate Reasoning, 44(2), 93–105.
Chao, R. O., & Kavadias, S. (2008). A theoretical framework for managing the new product development portfolio: When and how to use strategic buckets. Management Science, 54(5), 907–921.
Clark, R. E. (1989). Current progress and future directions for research in instructional technology. Educational Technology Research and Development, 37(1), 57–66.
Coffin, M. A., & Taylor III, B. W. (1996). Multiple criteria R&D project selection and scheduling using fuzzy logic. Computers & Operations Research, 23(3), 207–220.
Dutra, C. C., Ribeiro, J. L. D., & De Carvalho, M. M. (2014). An economic-probabilistic model for project selection and prioritization. International Journal of Project Management, 32(6), 1042–1055.
Eilat, H., Golany, B., & Shtub, A. (2006). Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology. European Journal of Operational Research, 172(3), 1018–1039.
Etro, F. (2007). Competition, innovation, and antitrust: A theory of market leaders and its policy implications. Berlin ; New York: Springer.
García-Melón, M., Poveda-Bautista, R., & Del Valle M., J. L. (2015). Using the strategic relative alignment index for the selection of portfolio projects application to a public Venezuelan Power Corporation. International Journal of Production Economics, 170, 54–66.
Gemici-Ozkan, B., Wu, S. D., Linderoth, J. T., & Moore, J. E. (2010). OR PRACTICE—R&D Project Portfolio Analysis for the Semiconductor Industry. Operations Research, 58(6), 1548–1563.
Gerchak, Y., & Parlar, M. (1999). Allocating resources to research and development projects in a competitive environment. Iie Transactions, 31(9), 827–834.
Ghapanchi, A. H., Tavana, M., Khakbaz, M. H., & Low, G. (2012). A methodology for selecting portfolios of projects with interactions and under uncertainty. International Journal of Project Management, 30(7), 791–803.
Ghasemzadeh, F., & Archer, N. P. (2000). Project portfolio selection through decision support. Decision Support Systems, 29(1), 73–88.
Golany, B., & Rothblum, U. G. (2008). Optimal investment in development projects. Operations Research Letters, 36(6), 657–661.
Green, J., & Scotchmer, S. (1995). On the division of profit in sequential innovation. The RAND Journal of Economics, 26(1), 20–33.
GZ. (1991). Optimal sequencing and resource allocation in R&D projects. Management Science, 37(2), 140–156.
Hassanzadeh, F., Nemati, H., & Sun, M. (2014). Robust optimization for interactive multiobjective programming with imprecise information applied to R&D project portfolio selection. European Journal of Operational Research, 238(1), 41–53.
Iamratanakul, S., Patanakul, P., & Milosevic, D. (2008). Project portfolio selection: From past to present. 2008 4th IEEE International Conference on Management of Innovation and Technology, 287–292.
Imai, J., & Watanabe, T. (2006). The Investment Game under Uncertainty : An Analysis of Equilibrium Values in the Presence of First or Second Mover Advantage. In Science (p. 151). World Scientific.
Jafarzadeh, M., Tareghian, H. R., Rahbarnia, F., & Ghanbari, R. (2015). Optimal selection of project portfolios using reinvestment strategy within a flexible time horizon. European Journal of Operational Research, 243(2), 658–664.
Jelassi, M. M. (1999). On closed-form solutions of a resource allocation problem in parallel funding of R & D projects. Retrieved from http://www.ie.bilkent.edu.tr/~mustafap/pubs/resource_parallel.ps
Kang, D. (2005). Corporate Distress and Restructuring Policy of Korean Small and Medium-sized Enterprises: Role of Credit Guarantee Scheme, (July).
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.
Kettunen, J., Grushka-Cockayne, Y., Degraeve, Z., & De Reyck, B. (2015). New product development flexibility in a competitive environment. European Journal of Operational Research, 244(3), 892–904.
Khalili-Damghani, K., Sadi-Nezhad, S., Lotfi, F. H., & Tavana, M. (2013). A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection. Information Sciences, 220, 442–462.
Krishnan, V., & Ulrich, K. T. (2001). Product development decisions: A review of the literature. Management Science, 47(1), 1–21.
Liesiö, J., Mild, P., & Salo, A. (2007). Preference programming for robust portfolio modeling and project selection. European Journal of Operational Research, 181(3), 1488–1505.
Liesiö, J., Mild, P., & Salo, A. (2008). Robust portfolio modeling with incomplete cost information and project interdependencies. European Journal of Operational Research, 190(3), 679–695.
Liesiö, J., & Salo, A. (2012). Scenario-based portfolio selection of investment projects with incomplete probability and utility information. European Journal of Operational Research, 217(1), 162–172.
Lin, P., & Zhou, W. (2013). The effects of competition on the R&D portfolios of multiproduct firms. International Journal of Industrial Organization, 31(1), 83–91.
Loch, C. H., & Kavadias, S. (2008). Managing new product development: An evolutionary. Handbook of New Product Development Management.
Lunn, J., & Martin, S. (1986). Market structure, firm structure, and research and development. Quarterly Review of Economics and Business, 26(1), 31-44.
Mavrotas, G., & Pechak, O. (2013). The trichotomic approach for dealing with uncertainty in project portfolio selection: Combining MCDA, mathematical programming and Monte Carlo simulation. International Journal of Multicriteria Decision Making, 3(1), 79–96.
Medaglia, A. L., Graves, S. B., & Ringuest, J. L. (2007). A multiobjective evolutionary approach for linearly constrained project selection under uncertainty. European Journal of Operational Research, 179(3), 869–894.
Mehrez, A., & Sinuany-Stern, Z. (1983). Resource allocation to interrelated risky projects using a multiattribute utility function. Management Science, 29(4), 430–439.
Meskendahl, S. (2010). The influence of business strategy on project portfolio management and its success - A conceptual framework. International Journal of Project Management, 28(8), 807–817. http://doi.org/10.1016/j.ijproman.2010.06.007
Mitchell, S., Mitchell, S., Consulting, S. M., & Dunning, I. (2011). PuLP: A Linear Programming Toolkit for Python. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4985
Mohanty, R. P., Agarwal, R., Choudhury, a. K., & Tiwari, M. K. (2005). A fuzzy ANP-based approach to R&D project selection: A case study. International Journal of Production Research, 43(24), 5199–5216.
Pendharkar, P. C. (2014). A decision-making framework for justifying a portfolio of IT projects. International Journal of Project Management, 32(4), 625–639.
Rajabi Asadabadi, M. (2014). A hybrid QFD-based approach in addressing supplier selection problem in product improvement process. International Journal of Industrial Engineering Computations, 5(4), 543–560.
Salo, A., Keisler, J., & Morton, A. (2011). An Invitation to Portfolio Decision Analysis (pp. 3–27). http://doi.org/10.1007/978-1-4419-9943-6_1
Shakhsi-Niaei, M., Torabi, S. A., & Iranmanesh, S. H. (2011). A comprehensive framework for project selection problem under uncertainty and real-world constraints. Computers and Industrial Engineering, 61(1), 226–237.
Shenhar, A. J., Dvir, D., Levy, O., & Maltz, A. C. (2001). Project success: A multidimensional strategic concept. Long Range Planning, 34(6), 699–725.
Solak, S., Clarke, J. P. B., Johnson, E. L., & Barnes, E. R. (2010). Optimization of R&D project portfolios under endogenous uncertainty. European Journal of Operational Research, 207(1), 420–433.
Souza, G. C. (2004). Product introduction decisions in a duopoly. European Journal of Operational Research, 152(3), 745–757.
Vilkkumaa, E., Liesiö, J., & Salo, A. (2014). Optimal strategies for selecting project portfolios using uncertain value estimates. European Journal of Operational Research, 233(3), 772–783.
Wang, B., & Song, Y. (2016). Reinvestment strategy-based project portfolio selection and scheduling with time-dependent budget limit considering time value of capital (pp. 373–381). Springer, Berlin, Heidelberg. http://doi.org/10.1007/978-3-662-49370-0_39
Wang, J., & Hwang, W. L. (2007). A fuzzy set approach for R&D portfolio selection using a real options valuation model. Omega, 35(3), 247–257.
Wang, J., & Yang, C. Y. (2012). Flexibility planning for managing R&D projects under risk. International Journal of Production Economics, 135(2), 823–831.
Wei, C. C., & Chang, H. W. (2011). A new approach for selecting portfolio of new product development projects. Expert Systems with Applications, 38(1), 429–434.
Xiang, H., & Yang, Z. (2015). Investment timing and capital structure with loan guarantees. Finance Research Letters, 13, 179–187.