From mass customization to mass personalization: a strategic transformation

  • Ashok KumarEmail author


Business and operations strategists have long sought to formulate strategies that would serve profitably for a market of one. Two decades after its conception, there is growing evidence that mass customization strategy is transforming into a mass personalization strategy, making the market of one a reality, at least in select industries. The degree of transformation of a company depends on the extent to which its product is soft, i.e., can be produced electronically. Thus, at the lower end of the personalization spectrum are manufacturing companies engaged in producing hard, configurable products, while on the high end of the spectrum are service companies whose product can be totally configured and delivered electronically. The underlying factors that are enabling this transformation, in our view, are: (1) development of information technologies such as peer to peer (P2P), business to consumer (B2C), and Web 2.0, (2) near-universal availability of the Internet, (3) customer willingness and preparedness to be integrated into the process of product co-design and co-creation, (4) modern manufacturing systems, such as flexible manufacturing and, of course, (5) mass customization tools such as modularity and delayed differentiation, which help reduce manufacturing cost and cycle times and (6) deployment of customer-satisfaction-specific software called customer relationship management (CRM) to engender customer retention. Due to the importance and strategic success of affordable personalization, this issue is dedicated to that theme. The articles included in this issue would, I believe, serve as significant decision support mechanisms for companies pursuing a mass customization and personalization strategy. In addition to providing a brief perspective on articles included in this issue, we also summarize the state of the art of mass customization research.


Mass customization Personalization Meta research Modularity Delayed differentiation 


  1. Alptekinoglu A (2004) Mass customization vs. mass production: variety and price competition. Manuf Serv Oper Manage 6(1):98–103Google Scholar
  2. Balakrishnan PV, Jacob VS (1996) Genetic algorithms for product design. Manage Sci 42(8):1105–1117zbMATHGoogle Scholar
  3. (2007) “Breaking the Mold,” Business Week, April 21Google Scholar
  4. Chen S, Tseng MM (2007) Aligning demand and supply flexibilities in custom Product co-design. Int J Flexible Manuf Syst 19(4)Google Scholar
  5. Davis SM (1987) Future perfect. Adison-Wesley, Reading, MAGoogle Scholar
  6. Eppen G (1979) Effects of centralization on expected costs in a multi-location newsboy problem. Manage Sci 25(5):498–501zbMATHGoogle Scholar
  7. Ferdows K, DeMeyer A (1990) Lasting improvements in manufacturing performance: in search of a new theory. J Oper Manage 9(2):168–184CrossRefGoogle Scholar
  8. Garg A, Tang CS (1997) On postponement strategies for product families with multiple points of differentiation. IIE Trans 29(8):641–650Google Scholar
  9. Jiao RJ, Xu Q, Du J, Zhang Y, Helander M, Khalid HM, Helo P, Ni C (2007) An analytical approach to affective design with ambient intelligence for mass customization and personalization. Int J Flexible Manuf Syst 19(4)Google Scholar
  10. Kotler P (1967) Marketing management analysis, planning and control. Englewood Cliffs, NJ Prentice HallGoogle Scholar
  11. Kotler P (1989) From mass marketing to mass customization. Planning Rev 17(5):10–13Google Scholar
  12. Kumar A (1995) Risk-pooling along a fixed delivery route using a dynamic inventory allocation policy. Manage Sci 41(2):344–360zbMATHGoogle Scholar
  13. Kumar A (2004) Mass Customization: Metrics and Modularity. Int J Flexible Manuf Syst 16(4):287–312zbMATHCrossRefGoogle Scholar
  14. Kumar A, Gattoufi S, Reisman A (2007) Taxonomic and Content Analyses of Research Strategies and Application Intensity of Mass Customization Publications (1987–2006). Int J Flexible Manuf Syst 19(4c)Google Scholar
  15. Kumar A, Stecke KE (2007) Measuring the effectiveness of a mass customization and personalization strategy: a market and organizational-capability based index. Int J Flexible Manuf Syst (19)4bGoogle Scholar
  16. Kumar A, Piller F, Williams HJ (2006) Mass Customization: shattering strategic myths, assumptions. Grand Rapids Business J 24Google Scholar
  17. Lee H, Tang C (1997) Modeling the costs and benefits of delayed product differentiation. Manage Sci 43(1):40–53zbMATHGoogle Scholar
  18. Leyuan S, Ólafsson S, Qun C (2001) An optimization framework for product design. Manage Sci 47(12):1681–1692CrossRefGoogle Scholar
  19. McCarthy JE (1960) Basic marketing: a managerial approach, Irwin. Homewood, ILGoogle Scholar
  20. O’Reilly T (2005) What is Web 2.0? Design patterns and business models for the next generation of software. Tim O’Reilly Newsletter, September 30.
  21. Piller FT (2007) Observations on the present and future of mass customization. Int J Flexible Manuf Syst 19(4)Google Scholar
  22. Piller FT, Kumar A (2006) For each, their own. Indus Eng 38(9):40–45Google Scholar
  23. Pine BJ (1992) Mass customization: the new frontier in business competition. Harvard Business School Press, Boston, MAGoogle Scholar
  24. Pine BJ (1993) Mass customizing products and services. Planning Rev 22(4):6–14Google Scholar
  25. II Pine BJ, Gilmore J (1999) The experience economy: work is theatre & every business a stage. HBS Press, Boston, MAGoogle Scholar
  26. II Pine BJ, Gilmore J (2007) Authenticity what consumers really want. HBS Press, Boston, MAGoogle Scholar
  27. Pine BJ, Bart V, Boynton AC (1993) Making mass customization work. Harvard Business Rev 71(5):108–118Google Scholar
  28. Schwarz LB (1989) Model for assessing the value of warehouse risk-pooling over outside supplier leadtime. Manage Sci 35(8):828–842CrossRefGoogle Scholar
  29. Skinner W (1974) The focused factory. Harvard Business Review, May–June, pp 113–121Google Scholar
  30. Smith WR (1956) Product differentiation and marketing segmentation as alternative marketing strategies. Assoc J Market, vol 21, pp. 3–8Google Scholar
  31. Tayur S, Ganeshan R, Magazine M (1999) Quantitative models for supply chain management. Kluwer International Series, Kluwer Academic Publishers, MAzbMATHGoogle Scholar
  32. Toffler A (1970) Future shock. Bodley Head Press, LondonGoogle Scholar
  33. Toffler A (1984) The third wave. Bantam Press, LondonGoogle Scholar
  34. Wilson J (2007) Mass customization and build to order practices: an engineering perspective. Cincom Systems ReportGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Seidman School Of BusinessGrand Valley State UniversityGrand RapidsUSA

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