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Developing More Encompassing Theories About Organizations: The Centralization-Effectiveness Relationship as an Example

Author

Listed:
  • George P. Huber

    (Graduate School of Business, University of Texas, Austin, Texas 78712)

  • C. Chet Miller

    (Graduate School of Business, Baylor University, Waco, Texas 76798)

  • William H. Glick

    (Graduate School of Business, University of Texas, Austin, Texas 78712)

Abstract

Theories that relate organization-level variables to one another frequently contain just three variables. “Formalization is negatively associated with success in a turbulent environment” and “Technology is a determinant of span of control at lower organizational levels” are examples. Theories limited to two or three variables tend to have low predictive validity and consequently are of limited use to anyone attempting to predict or interpret relationships among organizational variables. One purpose of the study reported here was to develop a more encompassing and more valid theory about a specific relationship---the relationship between centralization and effectiveness.A second purpose of the study was to set forth and test the efficacy of a general approach for developing more encompassing and more valid theories about organizations. The successful application of this approach resulted in a six-variable theory: the relationship between the two variables centralization and effectiveness is a function of (1) the average size of the units of analysis, (2) the effectiveness subconstruct considered, (3) the extent of professionalization in the organizations, and (4) whether the organizations produce primarily goods or services. Specifically, 57% of the variance in the linear association between centralization and effectiveness was shown to be explainable by a linear function of the four variables just noted. This theory enables identification of the conditions where centralization will be related to effectiveness most positively (i.e. r = 0.49) and the conditions where it will be related to effectiveness most negatively (i.e., r = -0.56).Besides these four predictor variables, four others were tested as possible predictors of the centralization-effectiveness relationship, but were rejected. Rejection of two of these latter four variables contradicted commonly accepted beliefs---decentralization was not more positively related to effectiveness in turbulent environments and decentralization was not more positively related to effectiveness in larger organizations.Two concerns regarding the organization science literature resulted from this research. The first follows from our observations that most reports of studies include dysfunctionally sparse descriptions of the organizational contexts in which the data were collected and that in many studies the magnitudes of both the variables of primary interest and also the contextual variables are reported on coarse scales (e.g., on nominal scales with few levels, such as “small” and “large”). As a consequence of these two practices, researchers synthesizing the literature and developing theories from it---as was done in the research reported here---necessarily group together studies that should be distinguished from one another on the basis of their attributes. This unwanted grouping results in theories that are less predictive than they could be.The second concern is that the subset of the organization science literature dealing with relationships between organizational design variables (such as centralization) and organizational effectiveness contains few studies demonstrating the causal directions of observed relationships. As a result, because various levels of effectiveness may lead to the adoption or evolution of different levels of “design variables,” or may be related to certain levels of a design variable because both are related to a third variable researchers and administrators observing high correlations between a design variable and effectiveness must be cautious in inferring that effectiveness can be enhanced by changing, the level of the respective design variable.

Suggested Citation

  • George P. Huber & C. Chet Miller & William H. Glick, 1990. "Developing More Encompassing Theories About Organizations: The Centralization-Effectiveness Relationship as an Example," Organization Science, INFORMS, vol. 1(1), pages 11-40, February.
  • Handle: RePEc:inm:ororsc:v:1:y:1990:i:1:p:11-40
    DOI: 10.1287/orsc.1.1.11
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    Cited by:

    1. Laura B. Cardinal & Scott F. Turner & Michael J. Fern & Richard M. Burton, 2011. "Organizing for Product Development Across Technological Environments: Performance Trade-offs and Priorities," Organization Science, INFORMS, vol. 22(4), pages 1000-1025, August.
    2. Julie Smith David & Yuhchang Hwang & Buck K. W. Pei & J. Hal Reneau, 2002. "The Performance Effects of Congruence Between Product Competitive Strategies and Purchasing Management Design," Management Science, INFORMS, vol. 48(7), pages 866-885, July.
    3. Ilya R. P. Cuypers & Gokhan Ertug & Jeffrey J. Reuer & Ben Bensaou, 2017. "Board representation in international joint ventures," Strategic Management Journal, Wiley Blackwell, vol. 38(4), pages 920-938, April.
    4. Rumeng Cui & Zhong Ma & Longfeng Wang, 2022. "Allocation of Decision Rights and CSR Disclosure: Evidence from Listed Business Groups in China," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    5. Laura B. Cardinal, 2001. "Technological Innovation in the Pharmaceutical Industry: The Use of Organizational Control in Managing Research and Development," Organization Science, INFORMS, vol. 12(1), pages 19-36, February.
    6. Fourné, Sebastian P.L. & Rosenbusch, Nina & Heyden, Mariano L.M. & Jansen, Justin J.P., 2019. "Structural and contextual approaches to ambidexterity: A meta-analysis of organizational and environmental contingencies," European Management Journal, Elsevier, vol. 37(5), pages 564-576.
    7. Maltz, Elliot & Souder, William E. & Kumar, Ajith, 2001. "Influencing R&D/marketing integration and the use of market information by R&D managers: intended and unintended effects of managerial actions," Journal of Business Research, Elsevier, vol. 52(1), pages 69-82, April.
    8. Rekha Krishnan & Inge Geyskens & Jan-Benedict E. M. Steenkamp, 2016. "The effectiveness of contractual and trust-based governance in strategic alliances under behavioral and environmental uncertainty," Strategic Management Journal, Wiley Blackwell, vol. 37(12), pages 2521-2542, December.
    9. Kwok, Francis & Sharma, Piyush & Gaur, Sanjaya Singh & Ueno, Akiko, 2019. "Interactive effects of information exchange, relationship capital and environmental uncertainty on international joint venture (IJV) performance: An emerging markets perspective," International Business Review, Elsevier, vol. 28(5), pages 1-1.
    10. Andreas Bausch & Frithjof Pils, 2009. "Product diversification strategy and financial performance: meta-analytic evidence on causality and construct multidimensionality," Review of Managerial Science, Springer, vol. 3(3), pages 157-190, November.
    11. C. Chet Miller & Nathan T. Washburn & William H. Glick, 2013. "PERSPECTIVE—The Myth of Firm Performance," Organization Science, INFORMS, vol. 24(3), pages 948-964, June.

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