Journal•ISSN: 0092-0703
Journal of the Academy of Marketing Science
Springer Science+Business Media
About: Journal of the Academy of Marketing Science is an academic journal published by Springer Science+Business Media. The journal publishes majorly in the area(s): Marketing research & Marketing management. It has an ISSN identifier of 0092-0703. Over the lifetime, 2154 publications have been published receiving 330325 citations. The journal is also known as: Academy of Marketing Science. Journal.
Topics: Marketing research, Marketing management, Marketing strategy, Customer retention, Relationship marketing
Papers published on a yearly basis
Papers
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TL;DR: 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.
19,160 citations
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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.
Abstract: Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. We therefore propose an alternative approach, based on the multitrait-multimethod matrix, to assess discriminant validity: the heterotrait-monotrait ratio of correlations. We demonstrate its superior performance by means of a Monte Carlo simulation study, in which we compare the new approach to the Fornell-Larcker criterion and the assessment of (partial) cross-loadings. Finally, we provide guidelines on how to handle discriminant validity issues in variance-based structural equation modeling.
12,855 citations
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TL;DR: This article highlights and clarifies the salient issues associated with S-D logic and updates the original foundational premises (FPs) and adds an FP.
Abstract: Since the introductory article for what has become known as the “service-dominant (S-D) logic of marketing,” “Evolving to a New Dominant Logic for Marketing,” was published in the Journal of Marketing (Vargo, S. L., & Lusch, R. F. (2004a)), there has been considerable discussion and elaboration of its specifics. This article highlights and clarifies the salient issues associated with S-D logic and updates the original foundational premises (FPs) and adds an FP. Directions for future work are also discussed.
6,323 citations
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TL;DR: In this paper, customer loyalty is viewed as the strength of the relationship between an individual's relative attitude and repeat patronage, and the relationship is mediated by social norms and situational factors.
Abstract: Customer loyalty is viewed as the strength of the relationship between an individual’s relative attitude and repeat patronage. The relationship is seen as mediated by social norms and situational factors. Cognitive, affective, and conative antecedents of relative attitude are identified as contributing to loyalty, along with motivational, perceptual, and behavioral consequences. Implications for research and for the management of loyalty are derived.
6,255 citations
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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.
Abstract: Most methodological fields undertake regular critical reflections to ensure rigorous research and publication practices, and, consequently, acceptance in their domain. Interestingly, relatively little attention has been paid to assessing the use of partial least squares structural equation modeling (PLS-SEM) in marketing research—despite its increasing popularity in recent years. To fill this gap, we conducted an extensive search in the 30 top ranked marketing journals that allowed us to identify 204 PLS-SEM applications published in a 30-year period (1981 to 2010). A critical analysis of these articles addresses, amongst others, the following key methodological issues: reasons for using PLS-SEM, data and model characteristics, outer and inner model evaluations, and reporting. We also give an overview of the interdependencies between researchers’ choices, identify potential problem areas, and discuss their implications. On the basis of our findings, we provide comprehensive guidelines to aid researchers in avoiding common pitfalls in PLS-SEM use. This study is important for researchers and practitioners, as PLS-SEM requires several critical choices that, if not made correctly, can lead to improper findings, interpretations, and conclusions.
5,328 citations