Skip to main content
Log in

An active styling platform for designing and developing product families

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

In recent years, fierce market competition has increased the need for incorporating manufacturing flexibility into product styling. The product styling platform approach proposed in this paper offers an insight into how this challenge can be dealt with by transforming an existing product fashion into an intangible styling module with the view to refreshing its appeal. This paper addresses the important issues of how the approach can be turned into a robust applicational tool to facilitate the design of product families to satisfy diverse customer needs. The paper investigates the nature and quantification of modular styling. By capturing and analysing design experts’ opinions on product styling, the evolution of a fashion can be quantified in the form of a schema of diffusion styles. The study has also led to the development of the ideas of “Prompt Time Market Segmentation Grid” and the “Active Style Diagnosis”. The concepts are applied in an “Active Product Styling Platform” with scalable and expandable capabilities to enhance the effectiveness of conventional product styling practices. This approach can also help the formation of product style families and facilitate the development of products particularly in a mass customisation environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bloch P.H., Brunel F.F., Arnold T.J. (2003) Individual differences in the centrality of visual product aesthetics: Concept and measurement. Journal of Consumer Research 29: 551–565

    Article  Google Scholar 

  • Brunel, F. F. (1998) The psychology of product aesthetics: antecedents and individual differences in product evaluation. Michigan: UMI Dissertation Services

  • Chong, P. Y. (2004). Diffusion of new product style: A total ’sales appeal’ forecasting approach for product aesthetic design. City University of Hong Kong (Thesis), Hong Kong.

  • Cross N. (2004) Expertise in design: An overview. Design Studies 25: 427–441

    Article  Google Scholar 

  • Crozier R. (1994) Manufactured pleasure: Psychological responses to design. Manchester University Press, Manchester

    Google Scholar 

  • Duke, J. S. (1992). Aesthetic response and social perception of consumer product design. Texas Tech University (Thesis), Texas.

  • Ericsson K.A., Smith J. (1991) Toward a general theory of expertise. Cambridge University Press, Cambridge MA

    Google Scholar 

  • Evans, N. D. (2003). Consumer gadgets: 50 ways to have fun and simplify your life with today’s technology ... and tomorrow’s. New York: Financial Times–Prentice Hall.

  • Featherstone, M. (1994). Consumer culture and postmodernism (pp. 83–84). London: Sage Publications.

  • Fiore A.M., Kimle P.A. (1997) Understanding aesthetics for the merchandising and design professional. Fairchild Publications, New York

    Google Scholar 

  • Fung R.Y.K., Popplewell K., Xie J. (1998) An intelligent hybrid system for customer requirements analysis and product attribute targets determination. International Journal of Production Research 36(1): 13–34

    Article  Google Scholar 

  • Fung R.Y.K., Tang J., Tu Y.L., Wang D. (2002) Product design resources optimisation using a non-linear fuzzy quality function deployment model. International Journal of Production Research 40(3): 585–599

    Article  Google Scholar 

  • Fung R.Y.K., Chong S.P.Y., Wang Y. (2004) A framework of product styling platform approach: Styling as intangible modules. Concurrent Engineering: Research and Applications 12(2): 89–103

    Google Scholar 

  • Harding J.A., Popplewell K., Fung R.Y.K., Omar A.R. (2001) An intelligent information framework for market driven product design. Computers in Industry 44(1): 51–65

    Article  Google Scholar 

  • Hoyer, W. D., & Gates, F. R. (1985). The impact of familiarity on the common repeat purchase decision process. In R. A. Peterson, W. D. Hoyer, & W. R. Wilson (Eds.), (1986) The role of affect in consumer behaviour: Emerging theories and applications (pp. 151–157). Lexington: D.C.

  • Jackson T. (2001) The process of fashion trend development leading to a season. In: Bruce M., Hines T. (eds). Fashion marketing: Contemporary issues. Butterworth Heinemann, Oxford, pp. 122–135

    Google Scholar 

  • Jiao J., Tseng M. (1999) A methodology of developing product family architecture for mass customisation. Journal of Intelligent Manufacturing 10: 3–20

    Article  Google Scholar 

  • Jiao J., Tseng M. (2000) Fundamentals of product family architecture. Integrated Manufacturing Systems 11(7): 469

    Article  Google Scholar 

  • Kim Jae-on., Mueller C.W. (1978) Introduction to factor analysis: How it is and how to do it. Sage Publications, London

    Google Scholar 

  • Levinthal D.A., Purohit D. (1989) Durable goods and product obsolescence. Marketing Science 8(1): 35–56

    Article  Google Scholar 

  • Levy, S. J. (1974). Levy on marketing, in Dennis, W (compiled, 1999) Rook brands, consumers, symbols, and research. Sidney J. Levy On Marketing. Thousand Oaks, CA: Sage Publications.

  • Lipovetsky, G. (1994). The empire of fashion: Dressing modern democracy (translated by Porter, C.). Oxford: Princeton University Press.

  • Mahajan V., Muller E., Wind Y. (eds) (2000) New-product diffusion models. Kluwer Academic Publishers, Boston

    Google Scholar 

  • Mieg H.A. (2001). The social psychology of expertise: Case studies in research, professional domains, and expert roles. Lawrence Erlbaum Associates Publishers, Mahwah/New Jersey

    Google Scholar 

  • Meyer H.M., Utterback J.M. (1993) The product family and the dynamics of core capability. Sloan Management Review 34: 29–47

    Google Scholar 

  • Moulson, T., & Spores, G. (2000). Styling strategy. Business Horizons, 43, 5(September-October), 45–52.

  • Parsons S. (2001) Qualitative methods for reasoning under uncertainty. The MIT Press, Cambridge/London

    Google Scholar 

  • Peter J.P., Olson J.C. (1999) Consumer behaviour and marketing strategy, 5th edn. Irwin McGraw-Hill, Boston

    Google Scholar 

  • Peterson R.A., Hoyer W.D., Wilson W.R. (1986) The role of affect in consumer behaviour: Emerging theories and applications. Lexington Books, Lexington, D.C.

    Google Scholar 

  • Popovic V. (2004) Expertise development in product design-specific knowledge connections. Design Studies 25: 527–545

    Article  Google Scholar 

  • Reynolds W.H. (1965) The wide C-post and the fashion process. Journal of Marketing 32: 49–54

    Article  Google Scholar 

  • Rogers E.M. (2003) Diffusion of innovation. Free Press, New York

    Google Scholar 

  • Rummel R.J. (1970) Applied factor analysis. Northwestern University Press, Evanston

    Google Scholar 

  • Shanteau J. (1992) The psychology of experts: an alternative view. In: Wright G., Bolger F. (eds). Expertise and decision support. Plenum, New York

    Google Scholar 

  • Sproles G.B., Burns L.D. (1994) Changing appearances: Understanding dress in contemporary society. Fairchild Publications, New York

    Google Scholar 

  • Sproles G.B. (1981) Analysing fashion life-cycles—Principles and perspectives. Journal of Marketing 45: 116–124

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard Y. K. Fung.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fung, R.Y.K., Chong, P.Y. An active styling platform for designing and developing product families. J Intell Manuf 18, 47–58 (2007). https://doi.org/10.1007/s10845-007-0006-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-007-0006-z

Keywords

Navigation