Identifying and Comparing Strategic Groups Using Alternative Methods: Method Validation and Group Convergence in a Single Mature Industry

  • Thomas S. Gruca
  • Deepika Nath
  • Howard Thomas


Three distinct methods of identifying and analyzing strategic groups are reviewed and compared both theoretically and empirically. A framework for simultaneously examining an industry — in this case, acute care hospitals in a U.S. metropolitan area — through each of the three theoretical lenses is presented. The resulting framework for comparing and combining results yielded via application of disparate theories enables a richer understanding of the dynamic nature of firm strategy. Reasonable concerns that have been raised regarding the utility of strategic groups research are used as a springboard to the development of richer methods of analysis.


Acute Care Hospital Perceptual Group Perceptual Dimension Strategic Group Direct Group 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Alba, J.W. and A. Chattopadhyay (1985), “Effects of context and part-category cues on recall of competing brands,” Journal of Marketing Research, 22, pp. 340–349.CrossRefGoogle Scholar
  2. Alba, R.D. (1973), “A graph-theoretic definition of a sociometric clique,” Journal of Mathematical Sociology, 3, pp. 113–126.CrossRefGoogle Scholar
  3. Alexander, J.A., A.D. Kaluzny and S.C. Middleton (1986), “Organizational Growth, Survival and Death in the U.S. Hospital Industry: A Population Ecology Perspective,” Social Science and Medicine, pp. 303–308.Google Scholar
  4. Alexander, J.A. and T.L. Amburgey (1987), “The Dynamics of Change in the American Hospital Industry: Transformation or Selection?” Medical Care Review, pp. 279–321.Google Scholar
  5. Alexander, J. and B. Lewis (1984), “The financial characteristics of hospitals under for-profit and non-profit contract management,” Inquiry, 21, pp. 230–242.Google Scholar
  6. Barnes, E.R. (1982), “An algorithm for partitioning the nodes of a graph,” SIAM Journal of Algebraic and Discrete Methods, 3, pp. 541.CrossRefGoogle Scholar
  7. Barney, J.B. and R.E. Hoskisson (1990), “Strategic groups: Untested assertions and research proposals,” Managerial and Decision Economics, 11, pp. 187–198.CrossRefGoogle Scholar
  8. Bishop, Y.Y.M. and P.W. Holland (1975), Discrete multivariate analysis: Theory and practice. Cambridge, MA: MIT Press.Google Scholar
  9. Blunch, N.J. (1984), “Position Bias in Multiple-Choice Questions,” Journal of Marketing Research, 21, pp. 216–220.CrossRefGoogle Scholar
  10. Breiger, R.L., S.A. Boorman, and P. Arabie (1975), “An algorithm for clustering relational data, with application to social network analysis comparison with multidimensional scaling,” Journal of Mathematical Psychology, 12, pp. 328–383.CrossRefGoogle Scholar
  11. Burt, R.S. (1980) “Models of network structure,” In A. Inkeles, N.J. Smelser and R.H. Turner (eds.), Annual Review of Sociology, 6, pp. 79–141. Palo Alto, CA: Annual Reviews.Google Scholar
  12. Collins, A.M. and E.F. Loftus (1975), “A spreading-activation theory of semantic processing,” Psychological Review, 82, pp. 407–428.CrossRefGoogle Scholar
  13. Cool, K.O. and D.E. Schendel (1987), “Strategic group formation and performance: The case of the U.S. pharmaceutical industry, 1963–1982,” Management Science, 33, pp. 1102–1124.CrossRefGoogle Scholar
  14. Fiegenbaum, A. and H. Thomas (1990), “Strategic groups and performance: The U.S. insurance industry, 1970–84,” Strategic Management Journal, 11, pp. 197–215.CrossRefGoogle Scholar
  15. Gerlach, M.L. (1992), “The Japanese corporate network: A blockmodel analysis,” Administrative Science Quarterly, 37, pp. 105–139.CrossRefGoogle Scholar
  16. Goodman, L.A. (1970), “The multivariate analysis of qualitative data: interactions among multiple classifications,” Journal of the American Statistical Association, 65, pp. 226–256.CrossRefGoogle Scholar
  17. Gripsrud, G. and K. Gronhaug (1985), “Structure and strategy in grocery retailing: A sociometric approach,” Journal of Industrial Economics, 33, pp. 339–347.CrossRefGoogle Scholar
  18. Gruca, T.S. and D. Nath (1994), “Changes in Regulation, Constraints on Adaptation and Organizational Failure: An Empirical Analysis of Acute Care Hospitals,” Strategic Management Journal, Vol. 15, 345–363.CrossRefGoogle Scholar
  19. Harrigan, K.R. (1985), “An application of clustering for strategic group analysis,” Strategic Management Journal, 6, pp. 55–73.CrossRefGoogle Scholar
  20. Hawkins, D.I. and K.A. Coney (1981), “Uninformed response error in survey research,” Journal of Marketing Research, 18, pp. 373.CrossRefGoogle Scholar
  21. Howard, J.A. and J.H. Sheth (1969), The Theory of Buyer Behavior, New York, NY: John Wiley and Sons, Inc.Google Scholar
  22. Hunt, M.S. (1972), Competition in the major home appliance industry, 1960–70. Unpublished doctoral dissertation, Harvard University.Google Scholar
  23. Knoke, D. and P.J. Burke (1980), Log-Linear Models. Beverly Hills, CA: Sage.Google Scholar
  24. Knoke, D. and J.H. Kuklinski (1982), Network Analysis. Beverly Hills, CA: Sage.Google Scholar
  25. Lankford, P.M. (1974), “Comparative analysis of clique identification methods,” Sociometry, 37, pp. 287305.Google Scholar
  26. Mintz, B. and M. Schwartz (1981), “Interlocking directorates and interest group formation,” American Sociological Review, 46, pp. 851–869.CrossRefGoogle Scholar
  27. Nath, D. & D. Sudharshan, (1994), “Measuring strategy coherence through pattern of strategic choices,” Strategic Management Journal, 15, pp. 43–61.CrossRefGoogle Scholar
  28. Ornstein, M.D. (1984), “Interlocking directorates in Canada: Intercorporate or class alliance?” Administrative Science Quarterly, 29, pp. 210–231.CrossRefGoogle Scholar
  29. Palmer, D. (1983), “Broken ties: Interlocking directorates and intercorporate coordination,” Administrative Science Quarterly, 28, pp. 40–55.CrossRefGoogle Scholar
  30. Palmer, D., R. Friedland and J.V. Singh (1986), “The ties that bind: Organizational and class bases in corporate interlock networks,” American Sociological Review, 51, pp. 781–796.CrossRefGoogle Scholar
  31. Perrault, W.D., D.N. Behrman, and G.M. Armstrong (1979), “Alternative approaches for interpretation of multiple discriminant analysis in marketing research,” Journal of Business Research, 7, pp. 159–173.Google Scholar
  32. Phillips, L. (1981), “Assessing measurement error in key informant reports: A methodological note on organizational analysis in marketing,” Journal of Marketing Research, 18, pp. 395–415.CrossRefGoogle Scholar
  33. Porac, J.F., H. Thomas, F. Wilson, D. Paton, and A. Kanfer (1995), “Rivalry and the industry model of Scottish knitwear producers,” Administrative Science Quarterly, 40, pp. 203–227.CrossRefGoogle Scholar
  34. Porac, J.F. and H. Thomas (1990), “Taxonomic mental models in competitor definition,” Academy of Management Review, 15, pp. 224–240.Google Scholar
  35. Porac, J.F., H. Thomas, and C. Baden-Fuller (1989), “Competitive groups as cognitive communities: The case of Scottish knitwear manufacturers,” Journal of Management Studies, 26, pp. 397–416.CrossRefGoogle Scholar
  36. Punj, G. & D.W. Stewart (1983), “Cluster Analysis in Marketing Research: Review and Suggestions for Application,” Journal of Marketing Research, 20, pp. 134–48.CrossRefGoogle Scholar
  37. Reger, R.K. and A.S. Huff (1993), “Strategic groups: A cognitive perspective,” Strategic Management Journal, 14, pp. 103–124.CrossRefGoogle Scholar
  38. Renn, S.C., C.J. Schramm, J.M. Watt, and R.A. Derzon (1985), “The effects of ownership and system affiliation on the economic performance of hospitals,” Inquiry, 22, pp. 219–236.Google Scholar
  39. Shortell, S.M. and E.J. Zajac (1990), “Perceptual and archival measures of Miles and Snow’s strategic types: A comprehensive assessment of reliability and validity,” Academy of Management Journal, 33, pp. 817–832.CrossRefGoogle Scholar
  40. Steward, D.V. (1965), “Partitioning and tearing systems of equations,” Journal of Numerical Analysis, 2, pp. 345.Google Scholar
  41. Thomas, H. and N. Venkatraman (1988), “Research in strategic groups: progress and prognosis,” Journal of Management Studies, 6, pp. 537–556.CrossRefGoogle Scholar
  42. Van Doren, D.C. and A.P. Spielman (1989), “Hospital Marketing; Strategy Reassessment in a Declining Market,” Journal of Health Care Marketing, 9, pp. 15–24.Google Scholar
  43. White, H.C., S.A. Boorman and R.L. Breiger (1976), “Social structure from multiple networks, I: Blockmodels of roles and positions,” American Journal of Sociology, 81, pp. 730–780.CrossRefGoogle Scholar
  44. Zajac, E.J. (1988), “Interlocking directorates as an interorganizational strategy: A test of critical assumptions,” Academy of Management Journal, 31, pp. 428–438.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1997

Authors and Affiliations

  • Thomas S. Gruca
    • 1
  • Deepika Nath
    • 2
    • 3
  • Howard Thomas
    • 4
  1. 1.University of IowaUSA
  2. 2.Schulich School of BusinessYork UniversityTorontoCanada
  3. 3.Ernst & YoungMalaysia
  4. 4.College of Commerce and Business AdministrationUniversity of Illinois at Urbana-ChampaignUSA

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