Journal ArticleDOI
On the evaluation of structural equation models
Richard P. Bagozzi,Youjae Yi +1 more
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TLDR
In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.Abstract:
Criteria for evaluating structural equation models with latent variables are defined, critiqued, and illustrated. An overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence. Model assessment is considered to be a complex process mixing statistical criteria with philosophical, historical, and theoretical elements. Inevitably the process entails some attempt at a reconcilation between so-called objective and subjective norms.read more
Citations
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Journal ArticleDOI
The Influence of Personal and Social-Interactive Engagement in Social TV Web Sites
TL;DR: A conceptual model of how experiential personal engagement and social-interactive engagement influence active and passive behavior in the emerging form of television that supports and integrates social interaction is developed and validated.
Journal ArticleDOI
Translating the impact of knowledge management processes into knowledge-based innovation: The neglected and mediating role of knowledge-worker productivity
TL;DR: In this paper, the authors proposed a novel research model to investigate the pivotal mediating role of knowledge worker productivity between knowledge management processes (knowledge generation, knowledge sharing, and knowledge application) and innovation.
Journal ArticleDOI
Perceived risk, usage frequency of mobile banking services
TL;DR: In this article, the effects of diffusion and adopters of mobile banking services (MBSs), perceived risk, brand awareness, and brand image of MBS providers, on attitude toward using MBSs, and on intention to use MBS, were discussed.
Book ChapterDOI
Partial least squares path modeling
TL;DR: Structural equation modeling (SEM) is a family of statistical techniques that has become very popular in marketing as mentioned in this paper, and it does not come as a surprise that some of the most cited scholarly articles in the marketing domain are about SEM (e.g., Bagozzi and Yi 1988; Fornell and Larcker 1981).
Posted Content
Customer Relationship Management and Firm Performance: The Mediating Role of Business Strategy
TL;DR: The authors investigated the role of critical mechanisms underlying the CRM-performance link and found that CRM does not affect firm performance directly and that the relationship between CRM and performance is fully mediated by differentiation and cost leadership.
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
A new look at the statistical model identification
TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
Journal ArticleDOI
Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
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.
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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
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