Journal ArticleDOI
On the evaluation of structural equation models
Richard P. Bagozzi,Youjae Yi +1 more
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
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Posted Content
Relationship Value in Business Market: The Construct and its Dimension
Wolfgang Ulaga,Andreas Eggert +1 more
TL;DR: In this article, the theoretical foundations of relationship value and seven underlying dimensions are investigated and it is suggested that relationship value should be conceptualized as a formative, multi-dimensional, higher-order construct.
Journal ArticleDOI
Customer Prioritization: Does It Pay Off, and How Should It Be Implemented?
TL;DR: In this article, the authors conducted a cross-industry study with 310 firms from business-to-consumer and businessto-business contexts together with two independent validation samples, and found that customer prioritization ultimately leads to higher average customer profitability and a higher return on sales.
Journal ArticleDOI
Is the privacy paradox a relic of the past? An in‐depth analysis of privacy attitudes and privacy behaviors
Tobias Dienlin,Sabine Trepte +1 more
TL;DR: It was found that online privacy concerns were not significantly related to specific privacy behaviors, such as the frequency or content of disclosures on SNSs, which demonstrated that the privacy paradox still exists when it is operationalized as in prior research.
Journal ArticleDOI
A longitudinal study of herd behavior in the adoption and continued use of technology
TL;DR: Herd behavior has a significant influence on user technology adoption; however, it does not necessarily lead to the collapse of the user base, as predicted in the herd literature and imitation can help reduce post-adoption regret and thus serve as a legitimate strategy for choosing a good enough technology, which may or may not be the best option to enhance job performance.
Journal ArticleDOI
A Causal Model of Behavioral Commitment: Evidence From a Study of Australian Blue-collar Employees
Roderick D. Iverson,Parimal Roy +1 more
TL;DR: In this paper, the authors examined the behavioral commitment (intent to stay) of a sample of blue-collar employees from a manufacturing firm in Australia and tested an integrated causal model of behavioral commitment based on four general classes of variables: structural, pre-entry, environmental, and employee orientations.
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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