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Small- and-medium sized enterprises (SMEs) significantly contribute to the success of platform-based innovation ecosystems (PIEs). However, less is known about their behaviors and behavioral intentions (BIs) toward participating in PIEs. Considering that SMEs' BIs directly influence their behaviors and reveal the underlying logic of their behaviors, this study, therefore, focuses on SMEs' BIs and explores the antecedents to reveal the rational effects on BIs of the participation.

An extended framework is proposed to understand SMEs' BIs toward the participation and empirically tested with data from a sample of 189 Chinese SMEs based on partial least squares structural equation modeling (PLS-SEM).

The results show that (1) the framework has a good fit in the context of PIEs and a large predictability of SMEs' BIs toward the participation; (2) as expected, SMEs' BIs are directly positively affected by their attitudes (ATTs), subjective norms (SNs) and platform leaders (PLs), while indirectly positively influenced by perceived usefulness (PU) and ease and negatively influenced by perceived risks (PRs) via mediation effects and (3) surprisingly, BIs are directly negatively affected by platforms probably because of the potential collaborative risks based on platforms.

This study enriches PIE literature by focusing on complementors and proposing a framework of SMEs' BI toward joining PIEs, and it also expands the application of BI–behavior theories in the context of PIEs by offering a BI–behavior perspective to analyze the rational logic of SMEs' behaviors of participating to PIEs. Practically, the main findings not only benefit SMEs to better understand their BIs and to make a wise choice toward the participation, but provide implications for PLs to proactively design interventions for attracting SMEs’ complementors.

This article seeks to understand how live-streaming technology (i.e. interactivity and effective use of live-streaming shopping’s information presentation tool) impacts consumers’ credibility perception regarding live streamers.

The authors empirically examined their hypotheses with data (n = 405) collected from a survey of consumers who engage in live-streaming shopping.

The results demonstrate that vicarious learning strategies (both coactive and independent) can shape consumers’ benefit perceptions (i.e. virtual presence and psychological proximity), and further have a positive effect on consumers’ personal value (i.e. perceived live streamer credibility). Furthermore, the consumers’ perception of the live streamers’ credibility positively affects their purchase intention and ultimately influences their purchase behavior.

Building on the vicarious learning theory and means-end chain (MEC) model, this study investigates the mechanism of the IT features of live-streaming shopping in reducing consumers’ uncertainty about live streamers. This study reveals the value of vicarious learning experiences in reducing consumers’ uncertainty and further enhancing their purchase behavior.

This study investigates how Danmu (danmaku) technological features (DTFs) of recommendation vlogs (rec-vlogs) impact consumer experiences and decisions.

The authors adopt the partial least squares structural equation modeling (PLS-SEM) technique with a sample of 422 viewers of Danmu-enabled rec-vlogs to examine the proposed model.

The DTFs positively affect consumer loyalty intentions through the mediation of social presence and immersion. Also, vlogger-product congruency significantly moderates the relationship between social presence and immersion.

With the increasing popularity of vlogs, retailers have adopted the vlog as a new marketing channel to connect with consumers. Although a growing body of studies focuses on this phenomenon, little is known about how DTFs help to increase consumer loyalty toward using rec-vlogs as product information sources. Anchored on the stimulus–organism–response framework, this study investigates how pseudo-synchronicity, Danmu-content congruency and parallelism, three DTFs used in rec-vlogs, impact consumer experiences of social presence and immersion, eventually influence the consumers' loyalty intentions toward rec-vlogs. The authors also examine whether the effect of social presence on immersion is contingent on vlogger-product congruency. These findings have implications for both researchers and practitioners to understand the effect of DTFs in the context of rec-vlogs.