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      Effect of consumption values on consumer behavior: a Meta-analysis

      , , ,
      Marketing Intelligence & Planning
      Emerald

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          Abstract

          Purpose

          The purpose of this study is to clarify the findings and criticisms in the extant literature concerning the theory of consumption values (TCV) by conducting a meta-analysis to (1) examine the extent to which consumption values influence consumer behavior and (2) to explore contextual and methodological factors that may account for between-study variance in the focal relationship.

          Design/methodology/approach

          The study employs a random-effects model and psychometric meta-analysis approach to examine 82 studies with 297 effect sizes in 34 countries between 1991 and 2022, inclusive.

          Findings

          Results reveal that consumption values have a positive significant and moderate effect on consumer behavior. Moreover, emotional value is the most influential predictor of consumer behavior, while social value is the weakest. Furthermore, the study's findings show that some contextual and methodological factors moderate the relationship between consumption values and consumer behavior.

          Practical implications

          The findings highlight that managers can work on consumption values to prompt positive consumer responses like attitude, intention, satisfaction and overall value perception. However, managers must consider that the relevance of the consumption values depends significantly on the outcome variable and the context, which calls for a tailored-made marketing strategy to appeal to consumers' diverse needs and wants.

          Originality/value

          Besides providing empirical evidence of the broad validity of the TCV, this study is the first meta-analytic review of the TCV, which integrates several insights to provide valuable research directions for future researchers and insightful implications for practitioners.

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          Most cited references95

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          Statistical Power Analysis for the Behavioral Sciences

          <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
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            The file drawer problem and tolerance for null results.

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              A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions

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                Author and article information

                Contributors
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                Journal
                Marketing Intelligence & Planning
                MIP
                Emerald
                0263-4503
                August 25 2023
                October 11 2023
                August 25 2023
                October 11 2023
                : 41
                : 7
                : 923-944
                Article
                10.1108/MIP-03-2023-0100
                29277132-c695-4014-a565-0373ddc89a15
                © 2023

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