Meta-analysis of perceived product value

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Proud Arunrangsiwed


Heightening Perceived Product Value (PPV) can help increase economic outcome of an organization. The marketing campaign should use effective strategies to enhance PPV among their customers. The current study primarily aimed to construct the model with all variables related to PPV, and to evaluate the effect size, which is Pearson’s correlation, between each pair of PPV and its related variable. Thirty-four articles regarding PPV across various kinds of products were chosen, yielding 295 pairs of PPV-related variables to be used in the major analyses. Linear regression analysis, t-test, and descriptive analysis were employed, and their results indicated that endorsement, attitude, and satisfaction are the most influential predictors of PPV, and there are strong links between PPV and both behavioral intention and brand loyalty. The findings of the current study suggest that future studies should investigate the link between PPV and perceived risk, because of the small number of studies of which has been studied so far. PPV and the constructed model in this study should also be tested with other unexplored products, such as products from media production industry, e.g., films, music, and video games.


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