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Interactivity is a dimension that describes a certain condition in business networks – a propensity to use interaction in business as a major means in development processes. Expectations formed as a collective attitude and knowledge about existing economic conditions and the importance of joint solutions formed through interactions to handle them are an expression of interactivity in the network. This collective condition is important because there are some obstacles confronting the development of substantive interaction. Businesses engage in interaction only when they acknowledge and accept that mutuality is something positive and a necessary condition to achieve some positive outcomes that cannot be achieved in isolation, and that interdependencies can be used in a constructive way. Finally, there must be managers prepared to use resources to build up relationships and to develop joint solutions that will pay in the long run. All relationships require investments. These attitude and knowledge factors, which are aspects of interactivity, are a condition for handling resources and activities to create efficiency and innovativeness.

This study aims to unlock a ritual chain mechanism that promotes socio-mental (or socio-psychological) resilience. This study draws on interaction ritual chains theory and the concept of transformative service to answer the question of how people could be inspired toward an elevated level of group solidarity, emotional energy, morality and, thus, socio-mental resilience.

This study took a qualitative approach resting upon online reviews and observations from an augmented food festival about hot pot delicacies dedicated to medical workers fighting hard amid the early coronavirus outbreak.

The results of this study point to four primary ritual outcomes (e.g. emotional energy, group solidarity, symbols of relationships and standards of morality) along with a two-tier micro–macro socio-mental resilience sustainability paradigm.

Empirical findings from this study could help operators to justify their transformative initiatives as means for customers to replenish their depleted physical and mental resources.

This inquiry presents new nuances to interaction ritual chains. This study also extends the transformative role of hospitality services to accentuate a linkage among individuals, communities and the society.

This paper aims to explore how digital technologies can transform the museum into an “interaction platform” able to play a key role in the value co-creation processes of the tourism destination.

The paper applies the “co-creation through interactions” perspective by Ramaswamy and Ozcan. Empirically, the paper is based on the methodology of single case study identified in MArTA, the well-known National Archeological Museum of Taranto (South Italy). Data collection has been implemented through interviews with key informants and secondary data related to online interviews, press release and reports.

Findings provide empirical evidence about the contribution that a digitalization strategy can create a “museum as a platform” in which the interactions between the museum, its stakeholders and other co-creation elements (interfaces, artifacts and processes) bring benefits in terms of tourism experiences and sustainable development of the destination.

This research highlights the cultural changes and the actions that museum management has to implement to properly benefit from digitalization and to transform the museum into a reference point for reflection and innovation.

Elements of originality can be found in (1) the exploration of the wide spectrum of benefits and innovations that digital technologies can offer to the museum-mediated interactions and (2) the contribution to the understanding of the museum as a digitalized “interaction platform” capable of supporting the processes of co-creation of value in the complex network of actors and objects of a tourism destination.

Companies are increasingly designing pro-environmental games to motivate users to implement pro-environmental behaviors (PEBs). However, how different types of virtual interactions affect PEBs in pro-environmental games is not clear. Thus, the authors propose that two types of virtual interaction, interactions with game objects and interactions with other users, can induce platform intimacy and love for nature and that platform intimacy has a direct effect on love for nature. Simultaneously, the authors examine the moderating effect of network externality on the relationship between the two types of virtual interaction and platform intimacy.

The authors, respectively, employed data from 92 students and 574 Chinese mobile users to empirically investigate the research framework.

The findings indicate that participants in interactions with game objects and interactions with other users reported stronger feelings regarding platform intimacy and love for nature, which, in turn, positively influences PEBs. Consumers with stronger perceptions of network externalities were more likely to be affected by the initiation effect of the interaction with game objects.

The authors introduce the notion of love for nature to the pro-environmental behaviors field and discuss the priming effect of two types of interactions on platform intimacy and love for nature. In addition, the authors focus on the important effect of network externality on users' emotions.

Based on commitment system theory and commitment-trust theory, this study aims to reveal the effects of participating teams’ multiple commitments (i.e. synergistic commitments and conflicting commitments) on the performance of open innovation projects through the mediating role of trusted knowledge interaction and vigilant knowledge interaction.

Primary survey data collected from 242 respondents of 47 open innovation projects in the manufacturing industry was used to test eight hypotheses. Correlations between multiple commitments, knowledge interaction and the performance of open innovation projects were investigated.

The findings reveal that synergistic commitments improve the performance of open innovation projects through enhancing trusted knowledge interaction. Synergistic commitments reduce the level of vigilant knowledge interaction, and the performance of open innovation projects follows an inverted U-shaped relationship with vigilant knowledge interaction. Conflicting commitments negatively moderate the effect of synergistic commitments on trusted knowledge interaction and vigilant knowledge interaction.

The authors extend commitment system theory and commitment-trust theory to open innovation project field. The findings bridge the gaps in isolated and static focus in previous commitment literatures and innovation management literatures, and provide practical guidance for how to better manage the dynamic combination of multiple commitments and knowledge interaction among participating teams in open innovation projects.

In the present world of constant connectivity, the barrage system, as a system of real-time dynamic comments coupled with video content, has become a popular interactive system technology for video sharing platforms. This study investigates how barrage system fluctuation characteristics, namely, barrage fluctuation amplitude and frequency, impact user interaction.

The research model was estimated with a fixed-effects regression applied to a longitudinal panel dataset collected from one of the most popular video sharing platforms in China (Bilibili.com).

Barrage fluctuation frequency has positive effects on users' real-time (synchronous) barrage interaction and the traditional (asynchronous) comment interaction. Barrage fluctuation amplitude has a positive effect on users' real-time (synchronous) barrage interaction but a negative effect on traditional (asynchronous) comment interaction. In addition, the interaction effects of the barrage fluctuation frequency and the barrage fluctuation amplitude on user interaction show adverse effects.

The results revealed the impact of different barrage fluctuation characteristics on different forms of interaction and provide important theoretical contributions and managerial implications in terms of user interaction on video sharing platforms.

Enterprises' multichannel operations provide various avenues for customer interaction; however, existing literature investigating customer-to-customer interaction (CCI) mainly focuses on a single channel. The purpose of this paper is to investigate the spillover effect of CCI and potential underlying mediating mechanisms in different information channels.

Three between-subjects experiments with 946 participants were employed to empirically validate the proposed hypotheses in the context of an experiential product and a material product.

Results suggest the clear spillover effect of CCI, indicating that positive CCI improves focal customers' satisfaction and purchase intention, whereas negative CCI reduces focal customers' satisfaction and purchase intention. Moreover, CCI's spillover effect varies based on the CCI channel. Offline CCI has a stronger positive spillover effect than online CCI. Contrarily, online CCI has a stronger negative spillover effect than offline CCI. Customer experience and trust are demonstrated to have mediating roles in this process.

This study is the first to comprehensively understand and compare the CCI spillover effect of the two information channels. The findings add to the existing knowledge of information processing in the psychological mechanisms influencing the belief in addition to providing insights for companies engaged in multichannel operations management across different channels.

This study aims to reveal the effect of comment interactions on video engagement of users in video-sharing platforms.

The authors collected 87,232 comments on 647 videos of Korean beauty creators on YouTube and conducted a social network analysis and a hierarchical regression analysis.

The results present that the more evenly interactive participants write and receive replies in the comments section, the more users' video engagement increases. The more creators reply to user comments and the more reactions they present, the more video engagement increases. Additionally, the influence of the creator's interaction on user engagement increased as the number of commenting participants decreased.

This study has implications for platform operators regarding comment section design and proposes interaction strategies for content creators to induce users' video engagement.

Compared to previous studies, this study empirically verifies the influence of interactions on video-sharing platforms in detail by confirming the influence of user interaction structures and creator's participation in the interaction on video engagement.

The increasing popularity of immersive activities (e.g. immersive performing art (IPA) at tourism destinations calls for the need to understand customers’ immersive experiences and its impact on their attitudes and behavioral intentions. This study aims to conceptualize customers’ interactive experience in IPA and systematically examine how interaction in IPA experience shapes customers’ word-of-mouth (WOM) intention and thus generates business values for destination managers.

A two-step mixed-methods approach was used. The qualitative study was adopted to identify the salient dimensions of interaction in IPA experience and develop a context-specific measurement scale. Structural equation modeling approach was applied to test the theoretical model using partial least squares 3.3.0.

The results indicated that the three dimensions of interaction in IPA experience (i.e. parasocial interaction, narrative interaction and environmental interaction) are positively related to customers’ experiences of narrative transportation and self-expansion related to the IPA, which further influence their WOM intention.

This study considers IPA as an emerging form of immersive tourism activities and conceptualizes its interactive nature, and contributes to the understanding of how customers’ interactive experience helps them construct meanings through narrative transportation, and offers valuable guidance for IPA designers and destination management organizations.

Interpersonal interaction can influence consumers’ purchase intention in social commerce (s-commerce). This paper aims to identify interpersonal interaction factors as well as the mediating effect of relationship quality between interpersonal interaction factors and consumers’ purchase intention in s-commerce.

This study explores new dimensions of interpersonal interaction in s-commerce by integrating interaction between consumers and online vendors and that between consumers and online recommenders in s-commerce. An online questionnaire was used to collect the data, and partial least squares structural equation modeling (PLS-SEM) was employed for data analysis.

The results indicate that interpersonal interaction factors of both online vendors and online recommenders positively affect swift guanxi and initial trust between consumers and online vendors. Swift guanxi and initial trust positively affect consumers’ purchase intention. Initial trust partially mediates between interpersonal interaction factors and purchase intention while swift guanxi does not mediate between perceived similarity of online recommenders and purchase intention.

The findings can be used to guide vendors in s-commerce platforms to make good use of platform features to improve interpersonal interaction. Meanwhile, s-commerce platforms should be enhanced with efficient interaction tools to help cultivate relationship quality between consumers and online vendors.

This study combines social exchange theory, trust transfer theory and relationship quality theory to investigate the factors that influence swift guanxi and initial trust between consumers and online vendors, which extends the study of interpersonal interaction and enriches the dimensions of relationship quality in the context of s-commerce.