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An Empirical Analysis on a Predictive Method of Systematic Segmentation in Volatile High-Tech Markets

  • Received : 2012.04.25
  • Accepted : 2012.10.26
  • Published : 2013.04.01
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Abstract

High-tech markets are unpredictable owing to rapid technology innovation, diverse customer needs, high competition, and other elements. Many scholars have attempted to explain the uncertainty in high-tech markets using their own various approaches. However, sufficiently clear ways to predict diverse changes and trends in high-tech markets have yet to be presented. Thus, this paper proposes a new approach model, that is, systematic market segmentation, to give more accurate information. Using an empirical dataset from the mobile handset market in the Republic of Korea, we conduct our research model consisting of three steps. First, we categorize nine basic segments. Second, we test the stability of these segments. Finally, we profile the characteristics of the customers and products. We conclude that the approach is able to offer more diagnostic information to both practitioners and scholars. It is expected to provide rich information for an appropriate marketing mix in practice.

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References

  1. H. Nystrom, Technological and Market Innovation: Strategies for Product and Company Development, Chichester, UK: John Wiley and Sons, 1990.
  2. E. Bridges, C.K. Yim, and R.A. Briesch, "A High-Tech Product Market Share Model with Customer Expectations," Marketing Sci., vol. 14, no. 1, 1995, pp. 61-81. https://doi.org/10.1287/mksc.14.1.61
  3. W.H. Davidow, Marketing High Technology: An Insider's View, New York: The Free Press, 1986.
  4. S. Dibb and L. Simkin, The Marketing Casebook, London: Routledge, 1994.
  5. R. Tamosaitis and L. Gargasaite, "Simulation of Virtual Time Norms for Technological Processes," J. Business Econ. Manag., vol. 4, no. 4, 2003, pp. 235-240.
  6. D.Y. Koh and J.S. Lee, "Analysis of Consumers' Choices and Time-Consumption Behaviors for Various Broadcasting and Telecommunication Convergence Services," ETRI J., vol. 32, no. 2, Apr. 2010, pp. 302-311. https://doi.org/10.4218/etrij.10.1409.0028
  7. H.R. Jeon et al., "User Adoption Model under Service Competitive Market Structure for Next-Generation Media Services," ETRI J., vol. 33, no. 1, Feb. 2011, pp. 110-120. https://doi.org/10.4218/etrij.11.0110.0160
  8. I.W. Seo, D.H. Lee, and B.W. Kim, "Market Efficiency Analysis between Facility-Based and Service-Based Competition," ETRI J., vol. 30, no. 4, Aug. 2008, pp. 587-596. https://doi.org/10.4218/etrij.08.0107.0336
  9. J. West and M. Mace, "Browsing as the Killer App: Explaining the Rapid Success of Apple's iPhone," Telecommun. Policy, vol. 34, 2010, pp. 270-286. https://doi.org/10.1016/j.telpol.2009.12.002
  10. E.H. Chamberlin, Theory of Monopolistic Competition, Cambridge, MA: Harvard University Press, 1933.
  11. J. Robinson, The Economics of Imperfect Competition, London: MacMillan, 1933.
  12. W. Smith, "Product Differentiation and Market Segmentation as Alternative Marketing Strategies," J. Marketing, vol. 21, no. 1, July 1956, pp. 3-8. https://doi.org/10.2307/1247695
  13. M. Wedel and W. Kamakura, Market Segmentation; Conceptual and Methodological Foundations, 2nd ed., Boston: Kluwer Academic Publishers, 2000.
  14. S. Dibb and L. Simkin, "Market Segmentation: Diagnosing and Treating the Barriers," Ind. Marketing Manag., vol. 30, 2001, pp. 609-625. https://doi.org/10.1016/S0019-8501(99)00127-3
  15. Y. Wind and R. Cardoza, "Industrial Market Segmentation," Harvard Business Rev., vol. 42, Mar.-Apr. 1974, pp. 83-90.
  16. B.S. Everitt, "Maximum Likelihood Estimation of the Parameters in a Mixture of Two Univariate Normal Distributions: A Comparison of Different Algorithms," The Statistician, vol. 33, 1984, pp. 205-215. https://doi.org/10.2307/2987851
  17. P. Vyncke, "Lifestyle Segmentation: From Attitudes, Interests and Opinions to Values, Aesthetic Styles, Life Visions and Media Preferences," European J. Commun., vol. 17, Dec. 2002, pp. 445- 463. https://doi.org/10.1177/02673231020170040301
  18. C.R. Allred, S.M. Smith, and W.R. Swinyard, "E-Shopping Lovers and Fearful Conservatives: A Market Segmentation Analysis," Int. J. Retail Distrib. Manag., vol. 34, no. 4/5, 2006, pp. 308-333. https://doi.org/10.1108/09590550610660251
  19. A. Mitchell, The Nine American Life-styles, New York: Warner, 1983.
  20. W.L. Wilkie and J.B. Cohen, "An Overview of Market Segmentation: Behavioral Concepts and Research Approaches," working paper, Cambridge, MA: Marketing Science Institute, 1977.
  21. B. Gunter and A. Furnham, Consumer Profiles: An Introduction to Psychographics, London: Routledge, 1992.
  22. W.J. McDonald, "Home Shopping Channel Customer Segments: A Cross-Cultural Perspective," J. Direct Marketing, vol. 9, no. 4, 1995, pp. 57-67. https://doi.org/10.1002/dir.4000090407
  23. L.R. Kahle, S.E. Beatty, and P. Holmer, "Alternative Measurement Approaches to Consumer Values: The List of Values (LOV) and Values and Life Style (VALS)," J. Marketing Research, vol. 25, 1986, pp. 157-167.
  24. C. Hung and C.F. Tsai, "Market Segmentation Based on Hierarchical Self-Organizing Map for Markets of Multimedia on Demand," Expert Syst. Appl., vol. 34, no. 1, 2008, pp. 780-787. https://doi.org/10.1016/j.eswa.2006.10.012
  25. Y. Liu et al., "Multicriterion Market Segmentation: A New Model, Implementation, and Evaluation," Marketing Sci., vol. 29, no. 5, Sept. 2010, pp. 880-894. https://doi.org/10.1287/mksc.1100.0565
  26. M. Cleveland, N. Papadopoulos, and M. Laroche, "Identity, Demographics, and Consumer Behaviors: International Market Segmentation across Product Categories," Int. Marketing Rev., vol. 28, no. 3, 2011, pp. 244-266. https://doi.org/10.1108/02651331111132848
  27. A. Lemmens, C. Croux, and S. Stremersch, "Dynamics in the International Market Segmentation of New Product Growth," Int. J. Research Marketing, vol. 29, no. 1, 2012, pp. 81-92. https://doi.org/10.1016/j.ijresmar.2011.06.003
  28. W.A. Kamakura and T.P. Novak, "Value-System Segmentation: Exploring the Meaning of LOV," J. Consumer Research, vol. 19, no. 1, June 1992, pp. 119-132. https://doi.org/10.1086/209291
  29. C. Mazzoni, L. Castaldi, and F. Addeo, "Consumer Behavior in the Italian Mobile Telecommunication Market," Telecommun. Policy, vol. 31, 2007, pp. 632-647. https://doi.org/10.1016/j.telpol.2007.07.009
  30. Q. Mu and K. Lee, "Knowledge Diffusion, Market Segmentation and Technological Catch-up: The Case of the Telecommunication Industry in China," Research Policy, vol. 34, 2005, pp. 759-783. https://doi.org/10.1016/j.respol.2005.02.007
  31. H. Zhu et al., "Are Consumers What They Consume? - Linking Lifestyle Segmentation to Product Attributes: An Exploratory Study of the Chinese Mobile Phone Market," J. Marketing Manag., vol. 25, no. 3-4, 2009, pp. 295-314. https://doi.org/10.1362/026725709X429764
  32. K.G. Grunert and S.C. Gunert, "Measuring Subjective Meaning Structures by the Laddering Method: Theoretical Considerations and Methodological Problems," Int. J. Research in Marketing, vol. 12, 1995, pp. 209-225. https://doi.org/10.1016/0167-8116(95)00022-T
  33. R.J. Thomas and J. Gutman, "Laddering Theory, Method, Analysis, and Interpretation," J. Advertising Research, vol. 28, no. 1, 1988, pp. 11-31.
  34. P. Vallette-Florence and B. Rapacchi, "Improvements in Means- End Chain Analysis Using Graph Theory and Correspondence Analysis," J. Advertising Research, vol. 31, no. 1, 1991, pp. 30-45.
  35. D.E. Vinson, J.E. Scott, and L.M. Lamont, "The Role of Personal Values in Marketing and Consumer Behavior," J. Marketing, vol. 41, 1977, pp. 44-50.
  36. W.F. van Raaij and T.M. Verhallen, "Domain-Specific Market Segmentation," European J. Marketing, vol. 28 no. 10, 1994, pp. 49-66. https://doi.org/10.1108/03090569410075786
  37. S. Young and B. Feigin, "Using the Benefit Chain for Improved Strategy Formulation," J. Marketing, vol. 39, 1975, pp. 72-74.
  38. J. Gutman, "A Means-End Chain Model Based on Consumer Categorization Processes," J. Marketing, vol. 46, no. 2, 1982, pp. 60-72. https://doi.org/10.2307/3203341
  39. R.E. Burnkrant and H.R. Unnava, "Effects of Self-Referencing on Persuasion," J. Consum. Research, vol. 22, no.1, June 1995, pp. 17-26. https://doi.org/10.1086/209432
  40. M. Rokeach, The Nature of Human Value, New York: Free Press, 1973.
  41. J.N. Sheth, B.I. Newman, and B.L. Gross, "Why We Buy What We Buy: A Theory of Consumption Values," J. Business Research, vol. 22, 1991, pp. 159-170. https://doi.org/10.1016/0148-2963(91)90050-8
  42. P.E. Green, "An AID/Logit Procedure for Analyzing Largen Multiway Contingency Tables," J. Marketing Research, vol. 15, Feb. 1978, pp. 132-136. https://doi.org/10.2307/3150415
  43. J. Magidson, TWCHAID Approach to Segmentation Modeling: Chi Square Automatic Interaction Detector, Advanced Marketing Research, Cambridge, MA: Blackwell Publishing, 1994.
  44. M.S. Aldenderfer and R.K. Blashfield, Cluster Analysis, Newbury Park, CA: Sage Publications, Inc., 1984.
  45. D.A. Aaker, V. Kumar, and G.S. Day, Marketing Research, 5th ed., New York: John Wiley & Sons, Inc., 1995.
  46. G.A. Churchill Jr., Marketing Research: Methodological Foundations, 5th ed., Chicago: The Dryden Press, 1991.
  47. C.C. Liu, "Mobile Phone User Types by Q Methodology: an Exploratory Research," Int. J. Mobile Commun.,, vol. 6, no. 1, 2008, pp. 16-31. https://doi.org/10.1504/IJMC.2008.015996
  48. M.J. Rokeach, Belief, Attitudes and Values, San Francisco: Jossey Bass, 1968.
  49. G Kendall, Multivariate Analysis, London: Charles Griffin, 1975.