Adaptive Idea Screening Using Consumers

References

• Bäck T., Schutz M. Intelligent mutation rate control in canonical genetic algorithms. Proc. Internat. Sympos. Methodologies for Intelligent Systems (1996) (Springer-Verlag)158–167Google Scholar
• Bertsekas D.Dynamic Programming and Optimal Control (1995) (Athena Scientific, Belmont, MA) Google Scholar
• Bradlow E., Wainer H. Some statistical and logical considerations when rescoring tests. Statistica Sinica (1998) 8:713–728Google Scholar
• Cook R. D., Nachtsheim C. J. A comparison of algorithms for constructing exact D-optimal designs. Technometrics (1980) 22(August):315–324Crossref, Google Scholar
• Cui D., Curry D. Prediction in marketing using the support vector machine. Marketing Sci. (2005) 24(4):595–615Link, Google Scholar
• Dahan E., Hauser J. R., Weitz B., Wensley R. Product development—Managing a dispersed process. Handbook of Marketing (2001a) (Sage Publications Inc., Thousand Oaks, CA) Google Scholar
• Dahan E., Hauser J. R. The virtual customer. J. Product Innovation Management (2001b) 19(5):332–354Crossref, Google Scholar
• Danaher P. J., Hardie B. G. S. Bacon with your eggs? Applications of a new bivariate beta-binomial distribution. Amer. Statistician (2005) 59(November):4Google Scholar
• De Bono E.Lateral Thinking: A Textbook of Creativity (1970) (Ward Lock Educational, London, UK) Google Scholar
• De Bono E.Six Thinking Hats (1985) (Little, Brown, Boston, MA) Google Scholar
• Dennis A. R., Valacich J. S. Computer brainstorms: More heads are better than one. J. Appl. Psych. (1993) 78(4):531–537Crossref, Google Scholar
• Evgeniou T., Boussios C., Zacharia G. Generalized robust conjoint estimation. Marketing Sci. (2005) 24(3):415–429Link, Google Scholar
• Federov V. V., Studden W. J., Klimko E. M.Theory of Optimal Experiments (1972) (Academic Press, New York) . Translated and edited by W. J. Studden and E. M. KlimkoGoogle Scholar
• Fogarty T., Kaufmann M. Varying the probability of mutation in the genetic algorithm. Proc. 3rd Internat. Conf. Genetic Algorithms (1989) (Morgan Kaufmann Publishers Inc., San Francisco, CA) 104–109Google Scholar
• Forbes Why companies need your ideas—How they’re tapping customers to develop new products. (2005) February 14):78–86Google Scholar
• Gallupe B. R., Bastianutti L. M., Cooper W. H. Unblocking Brainstorms. J. Appl. Psych. (1991) 76(1):137–142Crossref, Google Scholar
• Gallupe B. R., Dennis A. R., Cooper W. H., Valacich J. S., Bastianutti L. M., Nunamaker J. F. Electronic brainstorming and group size. Acad. Management J. (1992) 35(2):350–369Crossref, Google Scholar
• Gelman A. B., Carlin J. S., Stern H. S., Rubin D. B.Bayesian Data Analysis (1995) (Chapman & Hall/CRC, New York) Crossref, Google Scholar
• Goldberg D. E.Genetic Algorithms in Search, Optimization, and Machine Learning (1989) (Addison Wesley, Reading, MA) Google Scholar
• Goldenberg J., Mazursky D.Creativity in Product Innovation (2002) (Cambridge University Press, Cambridge, UK) Crossref, Google Scholar
• Goldenberg J., Lehmann D. R., Mazursky D. The idea itself and the circumstances of its emergence as predictors of new product success. Management Sci. (2001) 47(1):69–84Link, Google Scholar
• Goldenberg J., Mazursky D., Solomon S. Toward identifying the inventive templates of new products: A channeled ideation approach. J. Marketing Res. (1999a) 36(May):200–210Crossref, Google Scholar
• Goldenberg J., Mazursky D., Solomon S. Creativity templates: Towards identifying the fundamental schemes of quality advertisements. Marketing Sci. (1999b) 18(3):333–351Link, Google Scholar
• Gordon W. J. J.Synectics: The Development of Creative Capacity (1969) (Collier-Macmillan, London, UK) Google Scholar
• Hauser J. R., Toubia O. The impact of utility balance and endogeneity in conjoint analysis. Marketing Sci. (2005) 24(3):498–507Link, Google Scholar
• Hauser J. R., Tellis G., Griffin A. Research on innovation: A review and agenda for Marketing Science. Marketing Sci. (2006) 25(6Google Scholar
• Hesser J., Männer R. Towards an optimal mutation probability in genetic algorithms. Proc. 1st Parrallel Problem Solving from Nature (1991) (Springer, London, UK) 23–32Google Scholar
• Hesser J., Männer R. Investigation of the m-heuristic for optimal mutation probabilities. Proc. 2nd Parrallel Problem Solving from Nature (1992) (Elsevier, Amsterdam, The Netherlands) 115–124Google Scholar
• Kuhfeld W. F., Tobias R. D., Garratt M. Efficient experimental design with marketing research applications. J. Marketing Res. (1994) s31(November):545–557Crossref, Google Scholar
• Mitchell M.An Introduction to Genetic Algorithms (1996) (MIT Press, Cambridge, MA) Google Scholar
• Nunamaker J. F., Applegate L. M., Konsynski B. R. Facilitating group creativity: Experience with a group decision support system. J. Management Inform. Systems (1987) 3(4):5–19Crossref, Google Scholar
• Osborn A. F.Applied Imagination (1957) rev. ed.(Scribner, New York) Google Scholar
• Ozer M. What do we know about new product idea selection. (2005) . Working paper, Center for Innovation in Management Studies, City University of Hong Kong, Hong KongGoogle Scholar
• Prince G. M.The Practice of Creativity; A Manual for Dynamic Group Problem Solving (1970) (Harper & Row, New York) Google Scholar
• Randall T., Terwiesch C., Ulrich K. T. User design of customized products. Marketing Sci. (2006) 26(2):268–280Link, Google Scholar
• The Economist The rise of the creative consumer—The future of innovation. (2005) March 12Google Scholar
• Toubia O. Idea generation, creativity, and incentives. Marketing Sci. (2006) 25(5):411–425Link, Google Scholar
• Urban G. L., Hauser J. R.Design and Marketing of New Products (1993) (Prentice Hall, Upper Saddle River, Englewood Cliffs, NJ) Google Scholar
• Valacich J. S., Dennis A. R., Connolly T. Idea generation in computer-based groups: A new ending to an old story. Organ. Behav. Human Decision Processes (1994) 57:448–467Crossref, Google Scholar
• Von Hippel E. “Sticky information” and the locus of problem solving: Implications for innovation. Management Sci. (1994) 40(4):429–439Link, Google Scholar
• Von Hippel E. Economics of product development by users: The impact of “sticky” local information. Management Sci. (1998) 44(5):629–644Link, Google Scholar