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

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Statistical Models for Strategic Management

Abstract

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.

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References

  • 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.

    Article  Google Scholar 

  • Alba, R.D. (1973), “A graph-theoretic definition of a sociometric clique,” Journal of Mathematical Sociology, 3, pp. 113–126.

    Article  Google Scholar 

  • 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 

  • 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 

  • 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 

  • Barnes, E.R. (1982), “An algorithm for partitioning the nodes of a graph,” SIAM Journal of Algebraic and Discrete Methods, 3, pp. 541.

    Article  Google Scholar 

  • Barney, J.B. and R.E. Hoskisson (1990), “Strategic groups: Untested assertions and research proposals,” Managerial and Decision Economics, 11, pp. 187–198.

    Article  Google Scholar 

  • Bishop, Y.Y.M. and P.W. Holland (1975), Discrete multivariate analysis: Theory and practice. Cambridge, MA: MIT Press.

    Google Scholar 

  • Blunch, N.J. (1984), “Position Bias in Multiple-Choice Questions,” Journal of Marketing Research, 21, pp. 216–220.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • Collins, A.M. and E.F. Loftus (1975), “A spreading-activation theory of semantic processing,” Psychological Review, 82, pp. 407–428.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Fiegenbaum, A. and H. Thomas (1990), “Strategic groups and performance: The U.S. insurance industry, 1970–84,” Strategic Management Journal, 11, pp. 197–215.

    Article  Google Scholar 

  • Gerlach, M.L. (1992), “The Japanese corporate network: A blockmodel analysis,” Administrative Science Quarterly, 37, pp. 105–139.

    Article  Google Scholar 

  • Goodman, L.A. (1970), “The multivariate analysis of qualitative data: interactions among multiple classifications,” Journal of the American Statistical Association, 65, pp. 226–256.

    Article  Google Scholar 

  • Gripsrud, G. and K. Gronhaug (1985), “Structure and strategy in grocery retailing: A sociometric approach,” Journal of Industrial Economics, 33, pp. 339–347.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Harrigan, K.R. (1985), “An application of clustering for strategic group analysis,” Strategic Management Journal, 6, pp. 55–73.

    Article  Google Scholar 

  • Hawkins, D.I. and K.A. Coney (1981), “Uninformed response error in survey research,” Journal of Marketing Research, 18, pp. 373.

    Article  Google Scholar 

  • Howard, J.A. and J.H. Sheth (1969), The Theory of Buyer Behavior, New York, NY: John Wiley and Sons, Inc.

    Google Scholar 

  • Hunt, M.S. (1972), Competition in the major home appliance industry, 1960–70. Unpublished doctoral dissertation, Harvard University.

    Google Scholar 

  • Knoke, D. and P.J. Burke (1980), Log-Linear Models. Beverly Hills, CA: Sage.

    Google Scholar 

  • Knoke, D. and J.H. Kuklinski (1982), Network Analysis. Beverly Hills, CA: Sage.

    Google Scholar 

  • Lankford, P.M. (1974), “Comparative analysis of clique identification methods,” Sociometry, 37, pp. 287305.

    Google Scholar 

  • Mintz, B. and M. Schwartz (1981), “Interlocking directorates and interest group formation,” American Sociological Review, 46, pp. 851–869.

    Article  Google Scholar 

  • Nath, D. & D. Sudharshan, (1994), “Measuring strategy coherence through pattern of strategic choices,” Strategic Management Journal, 15, pp. 43–61.

    Article  Google Scholar 

  • Ornstein, M.D. (1984), “Interlocking directorates in Canada: Intercorporate or class alliance?” Administrative Science Quarterly, 29, pp. 210–231.

    Article  Google Scholar 

  • Palmer, D. (1983), “Broken ties: Interlocking directorates and intercorporate coordination,” Administrative Science Quarterly, 28, pp. 40–55.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Porac, J.F. and H. Thomas (1990), “Taxonomic mental models in competitor definition,” Academy of Management Review, 15, pp. 224–240.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Punj, G. & D.W. Stewart (1983), “Cluster Analysis in Marketing Research: Review and Suggestions for Application,” Journal of Marketing Research, 20, pp. 134–48.

    Article  Google Scholar 

  • Reger, R.K. and A.S. Huff (1993), “Strategic groups: A cognitive perspective,” Strategic Management Journal, 14, pp. 103–124.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • Steward, D.V. (1965), “Partitioning and tearing systems of equations,” Journal of Numerical Analysis, 2, pp. 345.

    Google Scholar 

  • Thomas, H. and N. Venkatraman (1988), “Research in strategic groups: progress and prognosis,” Journal of Management Studies, 6, pp. 537–556.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • Zajac, E.J. (1988), “Interlocking directorates as an interorganizational strategy: A test of critical assumptions,” Academy of Management Journal, 31, pp. 428–438.

    Article  Google Scholar 

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Gruca, T.S., Nath, D., Thomas, H. (1997). Identifying and Comparing Strategic Groups Using Alternative Methods: Method Validation and Group Convergence in a Single Mature Industry. In: Ghertman, M., Obadia, J., Arregle, JL. (eds) Statistical Models for Strategic Management. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2614-5_3

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  • DOI: https://doi.org/10.1007/978-1-4757-2614-5_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5186-1

  • Online ISBN: 978-1-4757-2614-5

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