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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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Market Orientation, Generative Learning, Innovation Strategy and Business Performance Inter‐Relationships in Bioscience Firms
Robert E. Morgan,Pierre Berthon +1 more
TL;DR: In this article, the authors propose conceptual arguments to establish relationships between market orientation and generative learning and their respective impact on exploitative innovation strategy and explorative innovation strategy, and consider the ambidextrous association between both forms of innovation strategies and business performance.
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Learning with mobile technologies Students behavior
Laura Briz-Ponce,Anabela Pereira,Lina Carvalho,Juan Antonio Juanes-Mndez,Francisco Jos Garca-Pealvo +4 more
TL;DR: The factors that affect the students behaviour towards the use of mobile technologies are analyzed to provide support for the Technology Acceptance Model and the implications are discussed within the context of Innovation in Education.
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Impact of TQM and organizational learning on innovation performance in the high-tech industry
TL;DR: In this article, a self-administered survey to sample Taiwanese high-tech industry companies was conducted to determine the relationships between TQM, organizational learning, and innovation performance.
Journal ArticleDOI
Determinants of e-repurchase intentions: An integrative model of quadruple retention drivers
TL;DR: This work drew on marketing and consumer behavior literature to formulate a conceptual framework that considered community-based, customization- based, desire-based and constraint-based drivers of online customer retention and empirically tested these hypotheses using data obtained from a large online retailing store in Taiwan.
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Likelihood to abort an online transaction: influences from cognitive evaluations, attitudes, and behavioral variables
TL;DR: Analysis of evaluative, attitudinal, and behavioral factors that enhance or reduce the likelihood of consumers aborting intended online transactions shows that attitude toward e-shopping mediate relationships between the transaction abort likelihood and other predictors.
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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