Journal ArticleDOI
Use of partial least squares (PLS) in strategic management research: a review of four recent studies
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TLDR
The current paper reviews four recent studies in the strategic management area which use PLS and notes that the technique has been applied inconsistently, and at times inappropriately, and suggests standards for evaluating future PLS applications.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.read more
Citations
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Journal ArticleDOI
A new criterion for assessing discriminant validity in variance-based structural equation modeling
TL;DR: In this paper, the heterotrait-monotrait ratio of correlations is used to assess discriminant validity in variance-based structural equation modeling. But it does not reliably detect the lack of validity in common research situations.
Posted Content
The Use of Partial Least Squares Path Modeling in International Marketing
TL;DR: An evaluation of double-blind reviewed journals through important academic publishing databases revealed that more than 30 academic articles in the domain of international marketing (in a broad sense) used PLS path modeling as means of statistical analysis.
Journal ArticleDOI
An assessment of the use of partial least squares structural equation modeling in marketing research
Joseph F. Hair,Marko Sarstedt,Marko Sarstedt,Christian M. Ringle,Christian M. Ringle,Jeannette A. Mena +5 more
TL;DR: An extensive search in the 30 top ranked marketing journals allowed us to identify 204 PLS-SEM applications published in a 30-year period (1981 to 2010), and a critical analysis of these articles addresses the following key methodological issues: reasons for using PLS, data and model characteristics, outer and inner model evaluations, and reporting.
Book ChapterDOI
The use of partial least squares path modeling in international marketing
TL;DR: In this article, the authors conducted an exhaustive literature review to determine the status quo of PLS path modeling in international marketing research and found that more than 30 academic articles in the domain of international marketing used PLS as a means of statistical analysis.
Journal ArticleDOI
Knowledge Management: An Organizational Capabilities Perspective
TL;DR: This research suggests that a knowledge infrastructure consisting of technology, structure, and culture along with a knowledge process architecture of acquisition, conversion, application, and protection are essential organizational capabilities or "preconditions" for effective knowledge management.
References
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Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI
Significance tests and goodness of fit in the analysis of covariance structures
TL;DR: In this article, a general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models, and the importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models.
Book
Reliability and Validity Assessment
TL;DR: The paper shows how reliability is assessed by the retest method, alternative-forms procedure, split-halves approach, and internal consistency method.
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