Innovative technologies have greatly changed people's lives, including their travel experiences. This study investigates the antecedents and outcomes of the quick response (QR) code payment technology used in tourism to provide empirical evidence that mobile technologies can be used to enhance tourist satisfaction. An empirical analysis using 247 field survey responses reveals that relative advantage, compatibility, and observability innovation attributes significantly affect tourists' attitudes positively toward QR code payment services, which results in their use of the technology while traveling. However, image-the subjective norm in innovation diffusion-has no effect on such use. Furthermore, the study confirms that the use of the QR code payment technology in tourism influences an individual's transaction satisfaction and travel satisfaction, suggesting that this technology can be used to advance the tourism industry. Theoretical and practical implications of the findings and future research directions are also discussed.

User participation plays a critical role in the business success of shared mobility services. This study classifies user participation behavior into two different types (in- and extra-role participations), integrates the motivation–opportunity–ability (MOA) model and social exchange theory (SET) to identify key antecedents, and empirically examines the influences of user–user, user–provider, and user–service interaction-related factors on user participation in the context of bike sharing services. The results of structural equation model analysis with 438 bike sharing service users in China reveal that altruism, rewards, and user knowledge enhance both in- and extra-role participations, whereas perceived ease of use promotes only user in-role participation, and both user satisfaction and commitment increase only user extra-role participation. Rewards are also found to promote user satisfaction, ultimately increasing user commitment. This study contributes to the body of knowledge on value co-creation and customer cooperation behavior in the sharing economy and provides practical implications to both managers of bike sharing services and policymakers for urban transportation and ICT-enabled sustainable development.

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This study adopts a brand relationship quality (BRQ) perspective to reveal the reason firms’ investments in social media-based brand communities should increase their social relationship marketing performances. An empirical analysis with 234 Facebook users who joined brand communities was conducted to examine the proposed hypotheses, revealing that fan needs fulfillments—information, entertainment, social interaction, and monetary ones—had positive effects on BRQ. Further, BRQ was found to have positive effects on fans’ engagement behavioral intentions toward brands, including willingness to buy, member continuance intention, and electronic word of mouth intention. This study contributes to existing research that indicates a new mechanism of BRQ improvement via the social media-based brand community. Implications corresponding to the research findings as well as study limitations and future directions are also addressed.

A significant characteristic of live streaming commerce is that popularity cues are tactically created and utilized to improve product sales, as atmospheric cues. However, research on live streaming commerce that investigates the effects of popularity cues is scarce. This study aims to reveal the role of popularity cues, including streamer popularity and product popularity, in promoting consumers’ impulse purchase. Following the stimulus–organism–response paradigm, this study reveals the underlying mechanism. This study surveyed 402 customers and empirically demonstrates that streamer popularity and product popularity can trigger consumers’ impulse purchase by enhancing perceived streamer reputation and perceived competition, respectively. Meanwhile, perceived power, as an inherent factor of consumers, plays a moderating role that only attenuates the effect of streamer popularity on perceived streamer reputation. This study contributes to a better understanding of the working mechanism of popularity cues and offers practical insights into how to effectively utilize these atmospheric cues in live streaming commerce.