Abstract
The elderly people fraction is rapidly increasing in the industrialized countries. The average life expectancy for many Europeans is now over 80, and by 2,020 around 25% of the population will be over 65. It is known that with ageing the behavior changes and body condition starts to diminish. Hence, the urge for new products and services that meet the target group’s needs, requirements, inspirations, and comfort is essential and promising for potential producers. As a result, it is a critical issue for market researchers to adjust their methods and techniques to those markets. The main focus of the paper is to suggest a new approach for measuring the preference of elders. The new approach can be used for designing products and services. It is based on well-known preference analysis methods (i.e., a combination of conjoint analysis and quality function deployment as with Baier 1998 or Pullman et al. 2002). The various approaches are discussed and implemented on elders. The development of a new mobile phone for elders is used as a demonstration and validation sample.
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References
Abu Assab, S., & Baier, D. (2010). Designing products using quality function deployment and conjoint analysis: A comparison in a market for elderly people, Studies in Classification, Data Analysis, and Knowledge Organization, 38, 515–526.
Akao, Y. (1990). Quality function deployment: Integrating customer requirements into product design. Cambridge, MA: Productivity Press.
ASI (1992). Quality function deployment: Executive briefing. Dearborn, MI: ASI Press.
Baier, D. (1998). Conjoint analytische Lösungsansätze zur Parametrisierung des House of Quality In QFD Produkte und Dienstleistungen marktgerecht gestalten. Dusseldrof: VDI.
Baltes, P. B., & Baltes, M. M. (1994). Gerontologie: Begriff, Herausforderung und Brennpunkte, in Alter und altern, ein interdisziplinärer Studientext zur Gerontologie (Sonderausgabe des 1992 in 5). Forschungsbericht der Akademie der Wissenschaft zu Berlin, Berlin, 1–34.
Gavrilov, L. A. & Heuveline, P. (2003). Aging of Population. In P. Demeny & G. Mcnicoll (Eds.), The Encylopedia of Population, NY.
Green, P. E. (1984). Hybrid models for conjoint analysis: An expository review. Journal of Marketing Research, 21(2), 155–169.
Green, P. E., & Rao, V. R. (1971). Conjoint measurement for quantifying judgmental data. Journal of Marketing Research, 8(3), 355–363.
Green, P. E., Krieger, A. M., & Wind, Y. J. (2001). Thirty years of conjoint analysis: Reflections and prospects. Interfaces, 31 (3- Part 2 of 2), 56–S73.
Gustafsson, A. (1996). Customer focused product development by conjoint analysis and QFD. Unpublished Thesis (doctoral), Linköping University, 1996.
Hauser, J. R., & Simmie, P (1981). Profit maximizing perceptual positions: An integrated theory for the selection of product features and price Management Science, 27(1), 33–56.
N. A. (2009). Nursing home lawyer: Protecting the well being of nursing home residents. http://www.nursinghomelawyer.com/nursing_home_law_firm/nursing_home_research/aging_disease/normal_aging_changes.htm>, 01.04.2009.
Pullman, M. E., Moore, W. L., & Wardell, D. G. (2002). A comparison of quality function deployment and conjoint analysis in new product design. Journal of Product Innovation Management, 19(5), 354–364.
Revelle, J. B. M., John W., & Cox, C. A. (1998). The QFD handbook. Toronto: Wiley.
Srinivasan, V., Shocker, Allan D., & Weinstein, A. G. (1973). Measurement of a composite criterion of managerial success. Organizational Behaviour & Human Performance, 9(1), 147–167.
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Abu-Assab, S., Baier, D., Kühne, M. (2010). Preference Analysis and Product Design in Markets for Elderly People: A Comparison of Methods and Approaches. In: Locarek-Junge, H., Weihs, C. (eds) Classification as a Tool for Research. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10745-0_78
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DOI: https://doi.org/10.1007/978-3-642-10745-0_78
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