This study explores the linear logic between consumer ethical beliefs (CEBs) and consumer unethical behavior (CUB) in a Chinese context. A relational view helps fill the belief–behavior gap by exploring the moderating role of relationship quality in reducing CUBs. Specifically, when consumers are more receptive to a set of actions that may be deemed inappropriate by moral principles, they are more likely to engage in unethical behaviors. However, when consumers perceive their misconduct as possibly damaging to the relationship developed with (...) the seller, they tend to refrain from unethical behaviors. CEBs and relationship quality also combine to affect unethical behaviors. Although consumers find the misconduct acceptable according to their ethical beliefs, they become less likely to conduct the behavior if they have a close relationship with the seller. The results contribute to a better understanding of the simplistic logic that connects CEBs and their unethical behaviors and shed light on how close relationships with consumers help contain CUBs. (shrink)

This study seeks to understand how consumers make unethical decisions and how unethical consumer behavior is formed in a relational society. By taking a relational interactive perspective and adopting a grounded theory approach, we have developed a theoretical framework for examining UCB’s developmental process in a relational society. The framework reveals 4 levels and 12 paths of UCB formation. Importantly, this study finds that UCB in a relational society is influenced by guanxi-oriented social culture so deeply that it cannot be (...) considered the result of a purely individual behavior choice. (shrink)

The initial online publication contained a typesetting mistake in the author information. The original article has been corrected.

This study focuses on two specific privacy policies, namely privacy assurance and personalization declaration. Specifically, we investigate how these distinct privacy policies affect customers’ privacy concerns and subsequent purchase responses. We have developed a conceptual model that addresses the independent effects of privacy assurance and personalization declaration, as well as the mechanism of these effects. Our model is grounded in motivation theory and supported by a field experiment and a controlled experiment. Our study demonstrates that privacy assurance that claims security (...) protection negatively affects customers’ purchase probability and purchase amount. By contrast, personalization declaration that addresses personalized benefits positively affects customers’ purchase probability and purchase amount. Privacy concerns significantly mediate the negative effects of privacy assurance on purchase responses and the positive effects of personalization declaration on purchase responses. Overall, our findings inform managers of how to deploy privacy policies to reduce customers’ privacy concerns and boost purchase responses. (shrink)