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Use of partial least squares (PLS) in strategic management research: a review of four recent studies

Strategic Management Journal · 1999 · Vol. 20(2) · pp. 195–204
John Hulland

Abstract

Advances in causal modeling techniques have made it possible for researchers to simultaneously examine theory and measures. However, researchers must use these new techniques appropriately. In addition to dealing with the methodological concerns associated with more traditional methods of analysis, researchers using causal modeling approaches must understand their underlying assumptions and limitations. Most researchers are well equipped with a basic understanding of LISREL-type models. In contrast, current familiarity with PLS in the strategic management area is low. The current paper reviews four recent studies in the strategic management area which use PLS. The review notes that the technique has been applied inconsistently, and at times inappropriately, and suggests standards for evaluating future PLS applications. Copyright © 1999 John Wiley & Sons, Ltd.

Customer Service Quality and LoyaltyOrganizational Leadership and Management StrategiesTechnology Adoption and User BehaviourLISRELPartial least squares regressionManagement scienceCausal modelComputer scienceContrast (vision)Strategic managementData scienceProcess managementStructural equation modeling

Funding

  • Division of Social and Economic Sciences
Citations
6,863
FWCI
23.34
field-weighted impact
References
38
Percentile
99%
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References
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Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory
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Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory
Journal of Marketing Research · 1982 · 2,234 citations
Testing Structural Equation Models.
Contemporary Sociology A Journal of Reviews · 1994 · 14,208 citations
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