Abstract
People are often very enthused by the idea of innovation and new product development. This is quite understandable. After all, the prospect of creating something new, taking it from inception all the way through the supermarket shelf and then hearing that satisfying “beep” as the barcode flashes past the laser scanner to register a sale at the checkout, would surely warm the coldest heart. Unfortunately, the reality of new product development is rather different from this.
References
Allenby, G. M., Rossi, P. E., & McCulloch, R. E. (2005). Hierarchical Bayes models: A practitioners guide. Available at SSRN: http://ssrn.com/abstract=655541 or https://doi.org/10.2139/ssrn.655541
Breiman, L., Friedman, J., Stone, C. J., & Olshen, R. A. (1993). Classification and regression trees. New York: Chapman & Hall.
Cabanac, M. (2009). The Fifth Influence: or, The Dialectics of Pleasure, pp. 22–23. iUniverse.com
Chandon, P., Morwitz, V. G., & Reinartz, W. J. (2005). Do Intentions really predict behavior? Self-generated validity effects in survey research. Journal of Marketing, 69, 1–14.
Chomsky, N. (1967). A review of B.F. Skinner’s Verbal Behavior. In L. A. Jakobovits & M. S. Miron (Eds.), Readings in the psychology of language (pp. 142–143). New York: Prentice Hall.
Crocker, C., & Thomson, D. M. H. (2014). Anchored scaling in best–worst experiments: A process for facilitating comparison of conceptual profiles. Food Quality & Preference, 33, 37–53.
de Graaf, C. (2018). Sensory science: The bridge between food and health. In Presented at Eurosense 2018 – A sense of taste. Eighth European Conference on Sensory and Consumer Research, Verona.
Evans, J., & Stanovich, K. E. (2013). Dual-process theories of higher cognition: Advancing the debate. Perspectives on Psychological Science, 8(3), 223–241.
Feldman, J. M., & Lynch, J. G., Jr. (1988). Self-generated validity and other effects of measurement on belief, attitude, intention and behavior. Journal of Applied Psychology, 73(3), 421–435.
Feldman-Barrett, L. (2016). Navigating the science of emotion. In H. Meiselman (Ed.), Emotion measurement (pp. 31–63). Cambridge: Woodhead.
Feldman-Barrett, L. (2017). How emotions are made: The secret life of the brain. New York: Houghton, Mifflin, Harcourt.
Jacobs, M. (2016). Down with BASES. https://miscmagazine.com/down-with-bases/
Juster, F. T. (1966). Consumer buying intentions and purchase probability: An experiment in survey design. Journal of the American Statistical Association, 61, 658–696.
Kahneman, D. (2011). Thinking fast and slow. New York: Farrar, Straus & Giroux.
MMR Research Worldwide. (2019). Archive data (with permission).
Morwitz, V. G. (2001). Methods of forecasting from intentions data. In J. S. Armstrong (Ed.), Principles of forecasting: A handbook for researchers and practitioners (pp. 34–56). Boston: Kluwer Academic Publishers.
Nielsen. (2009). Winning with innovation: An introduction to BASES. http://www.faculty.msb.edu/homak/homahelpsite/
Nielsen. (2014a). Nielsen Breakthrough Innovation Report (June 2014 – US edition).
Nielsen. (2014b). Nielsen Breakthrough Innovation Report (South East Asia – 1st edition).
Nielsen. (2016). Nielsen’s innovation forecasting achieves industry first. http://sites.nielsen.com/newscenter/nielsens-innovation-forecasting-achieves-industry-first/
Nielsen. (2019). Innovate for growth. http://www.nielsen.com/us/en/solutions/product-development.html
O’Reilly, L. (2014). 3 in 4 FMCG launches fail within a year. Marketing Week (UK).
Risen, E., & Risen, L. (2008). The use of intent scale translations to predict purchase interest. http://www.biotrak.com/wp-content/uploads/2011/11/Intent-Scale-White-Paper.pdf
Sawtooth Software Inc. (2017). The CBC System for Choice-Based Conjoint Analysis. (https://www.sawtoothsoftware.com/download/techpap/cbctech.pdf)
Silk, A. J., & Urban, G. L. (1978). Pre-test-market evaluation of new packaged goods: A model and measurement methodology. Journal of Marketing Research, 15(2), 171–191.
Stafford-Clark, D. (1965). What Freud really said. New York: Schocken Books.
Thomson, D. M. H. (2016). Emotions and conceptualisations. In H. Meiselman (Ed.), Emotion measurement (pp. 239–272). Cambridge: Woodhead.
Thomson, D. M. H., & Coates, T. (2018). Recent developments in conceptual profiling. In G. Ares & P. Varela (Eds.), Methods in consumer research (Volume 1): New approaches to classic methods (pp. 310–319). Cambridge: Woodhead.
Thomson, D. M. H., & Crocker, C. (2014). Development and evaluation of measurement tools for conceptual profiling of unbranded products. Food Quality and Preference, 33, 1–13.
Wherry, J. (2006). Simulated test marketing: Its evolution and current state in the industry’, MIT Sloan Business School [Online]. Available at http://dspace.mit.edu/bitstream/handle/1721.1/37225/85813336.pdf?sequence=1
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this entry
Cite this entry
Thomson, D.M.H. (2020). Predicting Purchase and Consumption of New Products. In: Meiselman, H. (eds) Handbook of Eating and Drinking. Springer, Cham. https://doi.org/10.1007/978-3-030-14504-0_137
Download citation
DOI: https://doi.org/10.1007/978-3-030-14504-0_137
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-14503-3
Online ISBN: 978-3-030-14504-0
eBook Packages: Behavioral Science and PsychologyReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences