Purpose The purpose of this paper is to examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy. Design/methodology/approach A self-reported online survey was conducted among Uber users in Hong Kong. A total of 295 valid responses were collected. The research model was empirically tested using the structural equation modeling technique. Findings The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users’ intention to participate in Uber. Research limitations/implications This study bridged the research gaps in the sharing economy literature by examining the effects of perceived risks, perceived benefits, and trust in the platform on users’ intention to participate in the sharing economy. Moreover, this study enriched the extended valence framework by incorporating perceived platform qualities into the research model, responding to the calls for the inclusion of technological variables in information systems research. Practical implications The findings provided practitioners with insights into enhancing users’ intention to participate in the sharing economy. Originality/value This study presented one of the first attempts to systematically examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy.

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The rapid advancements in Internet technology have led to the development of numerous innovative smart technologies. This research investigates the customer acceptance and resistance of smart technologies in the retail sector by integrating the technology acceptance model, system characteristics, technology readiness, and store reputation literature. Data was collected using a quantitative survey and analysed using symmetrical PLS path modelling and asymmetrical fuzzy set qualitative comparative analysis (fsQCA). Results show complex relationships among perceived technology readiness, perceived ease of use, perceived usefulness, superior functionality, perceived adaptiveness, and store reputation in determining customers' attitude and behavioural intentions towards smart retail technologies. The findings also show that technology readiness does not directly affect customer attitude but indirectly through perceived innovation characteristics. The findings indicate that retail stores should focus on smart technologies that are simple, yet offer enhanced customer value by improving the shopping efficiency. Retail stores can engage in brand management strategies to improve customers' acceptance of SRT.

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As customers now often turn to social media platforms to share their service experience, this study aims to examine the determinants of customers' negative word-of-mouth communication using social networking sites following a service failure. Although many studies have examined the electronic word-of-mouth communication, research focusing on negative word-of-mouth communication using social media platforms remain sparse. Building on the cognitive dissonance theory and social support theory, this study proposes and empirically examines the role of contextual, individual, and social networking factors in determining the customers' intentions to engage in negative word-of-mouth communication using social networking sites. Self-reported retrospective survey was used to obtain responses from 206 online shoppers.The results of the structural equation modeling showed that feeling of injustice, firm attribution, firm image, face-concern, reappraisal, use intensity, and tie strength are key antecedents of negative word-of-mouth communication. The findings provide valuable insights for managers in developing effective webcare interventions for negative word-of-mouth communication on social networking sites.

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