In an increasingly complex and dynamic environment, understanding the fundamental mechanisms of customer loyalty toward Airbnb has become very appealing to both researchers and providers in recent years. Most prior studies on Airbnb have focused mainly on dedication-based mechanisms, such as consumer satisfaction or attitude. However, little is currently known about how the theoretical view for adapting dedication-based and constraint-based mechanisms establishes Airbnb consumer loyalty and affects by attributes, such as authentic experience, trust in Airbnb, and social benefits—that is, the vital predictors of affective commitment. It explores social benefits, relative attractiveness, and price fairness as the key antecedents of calculative commitment. This study identifies the relationship using a structural equation modeling method and empirical data collected from 156 Airbnb consumers who use it more than twice. The analysis results show that consumer loyalty toward Airbnb is shaped by dedication- and constraint-based mechanisms. The findings indicate that both affective and calculative commitments significantly affect customer loyalty in the context of Airbnb. Authentic experience, trust in Airbnb, and social benefits significantly affect affective commitment to Airbnb. While both social benefits and relative attractiveness play an important role in enhancing calculative commitment to Airbnb, price fairness is not significantly related to it. Theoretical and practical implications and future research directions are subsequently discussed.

Following the phenomenal growth of and competition among coffee chain retailers, the coffee chain market has expanded substantially thanks to rising income levels, the increasing young population, and rapidly changing lifestyles. Attracting consumers’ attention and enhancing their loyalty behaviors has become very difficult for coffee chain retailers. This study seeks to understand the mechanisms through which emotions and the dedication-constraint model lead to brand loyalty and willingness to pay more to certain coffee chain retailers. Emotion responses and dedication-constraint model-based factors are major roles in the formation of loyalty behaviors, but few studies have combined them. To fill this knowledge gap, this study synthesizes emotional responses and the dedication-constraint model to develop a theoretical model. Based on the ambivalent view of emotions, it also examines how positive and negative emotions affect the combination of brand loyalty and willingness to pay more to certain coffee chain retailers. Moreover, it identifies the antecedents of affective and calculative commitments. Our findings indicate that affective commitment had significantly positive effects on positive emotion, brand loyalty, and willingness to pay more. It negatively affects negative emotion. Calculative commitment had significantly positive effects on positive emotion, brand loyalty, and willingness to pay more. However, contrary to our expectations, calculative commitment was positively related to negative emotions. Furthermore, service quality, quality of physical environment, and price fairness significantly affect affective commitments, while only price fairness significantly affects calculative commitments.

This study expands the understanding of health infomediary users, including aspects of trust and IQ. It also suggests that an effective strategy should aim at understanding the conceptual difference between high and low trust and the differential mechanisms by which high-trust and low-trust consumer groups affect the adoption of health infomediaries.

This study explored the formation mechanisms of users’ disclosing behaviors from the perspectives of the privacy paradox. The theoretical framework incorporates perceived control over personal information and subjective norms into the privacy calculus model. The proposed theoretical framework was empirically tested using survey data collected from 350 Facebook users. The findings show that users’ intention to disclose personal information has a marginally significant effect on users’ disclosing behaviors. The analysis results reveal that privacy concerns negatively affect the intention to disclose personal information while they are not significantly related to users’ disclosing behaviors. This study found that perceived control over personal information plays a significant role in enhancing trust in social network site (SNS) providers, users’ intention to disclose personal information, and users’ disclosing behaviors. Moreover, perceived control over personal information mitigates the level of privacy concerns. Several implications for research and practice are described.

This study investigates the key antecedents affecting consumers’ continuance intention toward bike-sharing services in China. The theoretical framework clarifies the role of perceived value and trust in a service provider in enhancing customer’s continuance intention toward bike-sharing services. Perceived usefulness, perceived ease of use, and perceived enjoyment are considered vital factors in forming perceived value and trust in a service provider. Financial risk and privacy risk serve as inhibitors to consumers’ continuance intention. Our research model is validated using data from 224 bike-sharing consumers in China. Both perceived value and trust in a service have a significant impact on consumers’ continuance intention. However, financial risk significantly affects customer’s continuance intention, although privacy risk does not have a significant impact on it. The analysis results show that perceived usefulness has no significant effect on both perceived value and trust in a service provider. The results demonstrate that perceived ease of use and perceived enjoyment play a significant role in enhancing both perceived value and trust in a service provider. Our results are expected to provide academic and practical implications for bike-sharing services.