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To explore the psychological mechanism through which consumer reviews affect people’s purchasing decisions and behavior, this study aims to examine the impact of statistical evidence embedded in product reviews on consumers’ perceptions and purchasing intentions.

The effects review valence and review volume are tested using a 3 (valence: positive vs neutral vs negative) × 2 (volume: high vs low) quasi-experimental design and online questionnaires.

The study finds that review valence has a stronger impact on consumers’ perceptions than review volume does. Negative reviews induce higher risk perception and a less favorable attitude toward purchases compared to positive reviews. In addition, although both attitude toward purchase and subjective norm are good antecedents of purchase intention, the attitude statistically has a stronger impact than the subjective norm.

This study contributes to extant literature from three perspectives. The authors have reexamined the findings of econometric models and advanced their implications by explaining the related psychological changes in people’s perceptions. Second, the authors have extended the application of the theory of reasoned action and found it to be a good fit in explaining consumers’ behavior related to consumer reviews. And finally, the authors have provided a clear guideline on the magnitude of the effects of review valence and volume on consumers’ perceptions.

This study provides a good complement to econometric studies from both theoretical and practical perspectives. It bridges the gap between exploratory studies and behavioral studies in the field of consumer reviews.

Using dynamic capabilities theory, this paper aims to posit logistics capabilities (namely information, demand, supply, cooperation and coordination) when integrated at the supply chain level gives rise to supply chain resilience. The current investigation explores further on the inter-relationship among dominant logistics capabilities and integrated logistics capabilities.

To test the proposed hypotheses, data were gathered from 339 supply chain professionals and were evaluated through structural equation modeling. The measures were pretested through exploratory factor analysis and confirmatory factor analysis and then measures were deployed for final testing.

Findings suggest that logistics capabilities do exert a strong influence on supply chain resilience through effective logistics integration. Further, these logistics capabilities do share certain inter-relationships among themselves. Supply chain resilience does have positive performance implications. The authors also tested for moderation of cooperation and coordination and proposed an alternate model which found support in post hoc testing.

The study holds immense value for practitioners and managers, as they undersigned that logistics capabilities need to be integrated at the supply chain level for developing overall supply chain resilience. Further, it underscored how the inter-relationship among the individual logistics capabilities varies in the development of supply chain resilience.