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A Heuristic Based Conceptual Framework for Product Innovation

Authors: Amalia Suzianti


This research elaborates decision models for product innovation in the early phases, focusing on one of the most widely implemented method in marketing research: conjoint analysis and the related conjoint-based models with special focus on heuristics programming techniques for the development of optimal product innovation. The concept, potential, requirements and limitations of conjoint analysis and its conjoint-based heuristics successors are analysed and the development of conceptual framework of Genetic Algorithm (GA) as one of the most widely implemented heuristic methods for developing product innovations are discussed.

Keywords: Product Innovation, Conjoint Analysis, Heuristic Model, Genetic Algorithm

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[1] AARTS, E., KORST, J., VAN LAARHOVEN, P. ÔÇ×Simulated Annealing, in: Local Search in Combinatorial Optimisation", Aarts and Lenstra Edition, John Wiley & Sons, 1997, pp. 91-120.
[2] ALBERS, S., GASSMANN, O. ÔÇ×Technologie- und Innovationsmanagement". in: Handbuch Technologie- und Innovationsmanagement: Strategie - Umsetzung - Controlling, 2005, Vol. 1, p. 3-22.
[3] ALEXOUDA, G., PAPARRIZOS, K. "A Genetic Algorithm Approach to the Product Line Design Problem Using The Seller-s Return Criterion: An Extensive Comparative Computational Study", in 2001 European Journal of Operation Research, Vol.134 (1), pp.165-178.
[4] ALLEN, F., KARJALAINEN, R. ."Using Genetic Algorithms to Find Technical Trading Rules", in 1999 Journal of Financial Economics, Vol. 51, pp. 245-271.
[5] ANDERSSON, J. " Multiobjective Optimization in Engineering Design, Linköping Studies" in 2001 Science and Technology, No.675.
[6] ATUAHENE-GIMA, K." An Exploratory Analysis of the Impact of Market Orientation on New Product Performance - A Contingency Approach", in 1995 Journal of Product Innovation Management, Vol.12 (4), pp. 275-293.
[7] ATUAHENE-GIMA, K. "Market Orientation and Innovation", in 1996Journal of Business Research, Vol.35 (1), pp.93-103.
[8] BALAKRISHNAN, P.V., JACOB, V.S. (1995). Triangulation in decision support systems: algorithms for product design, in Decision Support Systems, Vol.14, pp. 313-327.
[9] BALAKRISHNAN, P.V., JACOB, V.S. "Genetic Algorithms for Product Design", in 1996 Management Science, Vol. 42 (8), pp.1105- 1117.
[10] BALAKRISHNAN, P.V., GUPTA, R., JACOB, V.S. "Development of Hybrid Genetic Algorithms for Product Line Designs" , in 2004 IEEE Transactions on Systems,Man and Cybernetics, Vol. 34 (1), pp.468-483.
[11] BALAKRISHNAN, P.V., GUPTA, R., JACOB, V.S. "An investigation of mating and population maintenance strategies in hybrid genetic heuristics for product line designs", in 2006 Computers and Operations Research, Vol.33, pp.639-659.
[12] BELLONI, A., FREUND, R.M., et al."Optimizing Product Line Design: Efficient Methods and Comparisons", Working Paper OR 373-05, MIT Operation Research Center, February 2005.
[13] BELLONI, A., FREUND, R.M., et al. ÔÇ×Optimizing Product Line Design: Efficient Methods and Comparisons", Working Paper OR 373-05, 2nd Revision, MIT Operation Research Center, December 2007.
[14] CALANTONE, R.J., GARCIA, R., DROGE, C. "The Effects of Environmental Turbulence on New Product Development Strategy Planning", in 2003 Journal of Product Innovation Management, Vol.20 (2), pp.90-103.
[15] COOPER, R. G., KLEINSCHMIDT, E. J. ÔÇ×Winning Businesses in Product Development: The Critical Success Factors", in 1996 Research Technology Management, Vol.39 (4), pp.18-29.
[16] DAMANPOUR, F., GOPALAKRISHNAN, S. "The Dynamics of the Adoption of Product and Process Innovations in Organizations", in: 2001Journal of Management Studies, Vol.38 (1), pp.45-65.
[17] DODGSON, M. "The Management of Technological Innovation - An International and Strategic Approach", Oxford University Press, Oxford, 2000.
[18] FILIPPINI, R., SALMASO, L., TESSAROLO, P. "Product Development Time Performance: Investigating the Effect of Interactions between Drivers", in 2001 Journal of Product Innovation Management, Vol.21 (3), pp.199-214.
[19] GARCIA, R. "Uses of Agent-based Modeling in Innovation / New Product Development Research", in: 2005 Journal of Product Innovation Management, Vol. 22, pp. 380-398.
[20] GOLDBERG, D.E.. "Genetic Algorithms in Search, Optimization and Machine Learning", Massachusetts, 1989.
[21] GOLDBERG, D.E. " The Design of Innovation: Lessons from Genetic Algorithms, Lessons for the Real World", in: 2000 Technological Forecasting and Social Change, Vol.64, pp. 7-12.
[22] GOLDBERG, D.E. (2002). "The Design of Innovation: Lessons from and for Competent Genetic Algorithms", Massachusetts.
[23] GREEN, P.E., CARROLL, J.D., GOLDBERG, S.M. "A General Approach to Product Design Optimization via Conjoint Analysis", in: 1981, Journal of Marketing, Vol.45 (1), pp. 17-37.
[24] GREEN, P.E., KRIEGER, A.M. (1985). "Models and Heuristics for Product Line Selection", in: 1985 Marketing Science, Vol. 4 (1), pp. 1- 19.
[25] GREEN, P.E., KRIEGER, A.M. " A Consumer-based Approach to designing Product Line Extensions," in 1987Journal of Product Innovation Management, Vol.4, pp.21-32.
[26] GREEN, P.E., KRIEGER, A.M. ÔÇ×A Simple Heuristics for Selecting ÔÇÿgood- Products in Conjoint Analysis", in 1987 Application of Management Science, Vol.5, pp.131-153.
[27] GREEN, P.E., KRIEGER, A.M "Conjoint Analysis with Product- Positioning Applications", in: Handbooks in OR and MS, J. Eliashberg and G.L.Lilien (Eds), Elsevier Science B.V, 1993Vol. 5, pp. 467-515.
[28] GRUCA, T.S., KLEMZ, B.R. "Optimal New Product Positioning: A Genetic Algorithm Approach", in 2003 European Journal of Operational Research, Vol. 146, pp.621-633.
[29] JIAO, J., ZHANG, Y., WANG, Y. ÔÇ× A Heuristic Genetic Algorithm for Product Portfolio Planning", in 2007 Computers & Operations Research, Vol.34, pp.1777-1799.
[30] LIN, S.-J., DR. WEI, C.-C. (2005). ÔÇ×Using Genetic Algorithm to Facilitate Time-Cost Optimization in Product Development". In 2005 Journal of American Academy of Business, Vol. 7, pp. 168-175.
[31] LOUVIERE, J., HENSHER, D., SWAIT, J. "Conjoint Preference Elicitation Methods in the Broader Context of Random Utility Theory Preference Elicitation Methods". In: GUSTAFSSON, A., HERRMANN, A., HUBER, F. (Hrsg), Conjoint Measurement - Methods and Applications, Berlin, 2000, pp. 279-318.
[32] LUCE, R.D, TUKEY, J.W. "Simultaneous Conjoint Measurement: A New Type of Fundamental Measurement", in 1964 Journal of Mathematical Psychology, Vol.1, pp.1-27.
[33] MC.FADDEN, D. "Conditional Logit Analysis of qualitative choice behaviour," in Zarembka P., Frontier of Economics, Academic Press, New York, 1974 pp.105-142.
[34] MC.FADDEN, D. "The Choice Theory Approach to Market Research", in 1986 Marketing Science, Vol.5 (4), pp.275-297.
[35] METAXIOTIS, K., PSARRAS, J. "The contribution of neural networks and genetic algorithms to business decision support - Academic myth or practical solution", in 2004 Management Decision, Vol.42 (2), pp.229- 242.
[36] MITSUO, G., RUNWEI, C. "Genetic Algorithms and Engineering Design", New York, 1997.
[37] MITSUO, G., RUNWEI, C. "Genetic Algorithms and Engineering Optimisation", New York, 2000.
[38] STEINER, W., HRUSCHKA, H. "Genetic Algorithms for product design: how well do they really work?" , in 2003 International Journal of Market Research, Vol.45, Quarter 2.
[39] ZUFRYDEN, F. S. "A Conjoint-Measurement-Based Approach for Optimal New Product Design and Market Segmentation", in Schocker, A.D.(ed.), Analytic Approaches to Product and Market Planning, Cambridge, MA, 1977 pp.100-114.
[40] ZUFRYDEN, F. S. "A Zero-One Integer Programming Model for Market Segmentation and Product Positioning", in1979Journal of the Operational Research Society, Vol.30 (1), pp.63-76.
[41] ZHOU, K.Z., YIM, C.K., TSE, D.K. "The Effects of Strategic Orientations on Technology and Market-Based Breakthrough Innovations", in 2005 Journal of Marketing, Vol.69 (2), pp.42-60.