This study quantifies drivers and consequences of positive and negative electronic word-of-mouth (eWOM) engagement on social networking sites building upon social identity theory. Fitting a structural model using software smartPLS 4.0, the analysis compares two distinct groups of respondents. Though these groups seem to belong to the same in-group. Nevertheless, group members differ with respect to the drivers and consequences of their positive and negative eWOM engagement. As engagement is often used in the context of service-dominant logic, we reveal which non-monetary value co-creating and value-reducing consequences result from positive and negative eWOM engagement. This study highlights the impact of eWOM engagement on self-brand connection and self-brand incongruity and identifies commitment as a major driver. For international respondents negative eWOM does not automatically increase self-brand incongruity but low negative eWOM has a positive effect on the self-brand connection.

We are living in a world that is increasingly digital and undergoing dramatic changes as a result. In particular for luxury fashion, growing numbers of online customers as well as fast changing business environment, luxury retailers face the challenge of differentiating themselves by offering a better online customer experience (Chen et al. 2021). By doing so, luxury fashion retailers are increasingly deploying chatbots in their service encounters to enhance customer experience (Roy & Naidoo, 2021). Chatbots are powered by Artificial Intelligence (AI) (Hoyer et al. 2020) and are an example of AI robot that can provide human-computer interactions on a retail website (Lee et al. 2017). Intended to enhance the online customer experience, chatbots have the potential to provide a better understanding of the product performance, enable efficient use of customer time, and help build crucial customer relationships (Rese et al. 2020; Wilson-Nash et al. 2020; Xu et al. 2022). Therefore, chatbots’ potential has been highly valued by fashion retail industry and academia (Jiang et al. 2022).

We are living in a world that is increasingly digital and undergoing dramatic changes as a result. In particular for luxury fashion, growing numbers of online customers as well as fast changing business environment, luxury retailers face the challenge of differentiating themselves by offering a better online customer experience (Chen et al. 2021). By doing so, luxury fashion retailers are increasingly deploying chatbots in their service encounters to enhance customer experience (Roy & Naidoo, 2021). Chatbots are powered by Artificial Intelligence (AI) (Hoyer et al. 2020) and are an example of AI robot that can provide human-computer interactions on a retail website (Lee et al. 2017). Intended to enhance the online customer experience, chatbots have the potential to provide a better understanding of the product performance, enable efficient use of customer time, and help build crucial customer relationships (Rese et al. 2020; Wilson-Nash et al. 2020; Xu et al. 2022). Therefore, chatbots’ potential has been highly valued by fashion retail industry and academia (Jiang et al. 2022).

Disinformation can distort real-world events and influence individuals’ decisions, posing a serious threat to society. However, moderating disinformation is still a major challenge for social network operators, as they are omnipresent, and social media’s ease-of-use, anonymity, and interconnectedness enables their rapid diffusion. Additionally, there is a lack of clear guidance on prioritizing content for censorship efforts. Until now, existing literature focuses on the virality of traditional online content, such as marketing campaigns, which are generally driven by positive emotions and arousal. Nevertheless, this type of content is vastly dissimilar from the hate-filled, misleading, and malicious content on social media platforms, rendering literature findings inapplicable when it comes to disinformation diffusion. So, what makes disinformation go viral? Using a unique dataset of ~400 million live-crawled messages on Twitter surrounding the US presidential election in 2020, our study analyzes which content and context characteristics drive the virality of disinformation. We classify ~10 million disinformation spread over ~50,000 distinct disinformation stories and (1) identify different diffusion trajectories of virality with the help of time series shape clustering. Moreover, to investigate the differing diffusion patterns, we (2) use state-of-the-art natural language processing to analyze linguistic and meta-level features. With that, this work provides ex-ante guidance to policymakers and network operators to help identify the most critical content on social media to curb the spread of threatening disinformation online. Furthermore, this study advances the overall understanding of disinformation diffusion by focusing exclusively on misleading content and the differences among them. Lastly, this work can add a new perspective to existing research by extensively quantifying the effects of viral disinformation online with a large-scale social media analysis.

비인격적인 상사는 조직을 괴롭히고 직원들의 웰빙에 영향을 주는 심각하고 점점 더 큰 문제가 되고 있다. 이 연구는 비인격적인 상사가 인도네시아의 조직적 맥락에서 반생산적인 과업행동에 미치는 영향 에 대한 개요를 제공했다. 본 연구는 직원들의 감정적 고갈의 매개 효과와 상호 작용 정의의 조절 효과를 조사함으로써 비인격적인 상사에 대한 연구를 확대한다. 인도네시아 기업의 120명 응답자의 자료에 대한 회귀 분석 결과, 비인격적인 상사가 역효과를 내는 업무행태와 긍정적인 상관관계가 있으며, 직원들의 감 정적 고갈이 비인격적인 상사와 반생산적인 과업행동의 관계에 매개 효과를 가지고 있는 것으로 밝혀졌 다. 또한 본 연구는 상호 작용적인 정의가 비인격적인 상사와 직원들의 감정적 고갈 사이의 관계에 조절 영향을 미친다는 것을 발견했다. 상호 작용적 정의의 조절 효과가 상호 작용적 정의가 높았을 때 비인격 적인 상사와 감정적 고갈 사이의 더 강한 관계가 존재한다는 것과 같은 예기치 못한 패턴을 보인 것은 놀라운 일이다. 이러한 조사 결과는 , 비인격적인 상사, 직원들의 감정적 고갈 그리고 반생산적인 과업행 동 사이의 관계가 더 강하기 때문에 비인격적인 상사를 피하는 것이 더 심각하게 여겨져야 한다는 것을 보여주었다.

This paper presents comprehensive knowledge regarding dark patterns in OTA websites. The study further examines how hotels use dark pattern tactics as a marketing tool to influence consumers’ buying behavior in OTA websites by adopting stimulus-organism-response theory. The paper develops propositions and identifies potential moderators.

Informal networks between individuals are widely seen as important in East Asian business systems. However, while the performance implications of guanxi in China have been extensively studied, much less is known on how informal networks may influence business outcomes in other East Asian countries. We examine informal networks in inter-organizational research collaborations in South Korea by studying the role of pre-existing social ties and relational orientation in new product development (NPD) collaborations and university-industry research (UIR) collaborations. We conduct an interview-based, in-depth case analysis of five NPD collaborations and five UIR collaborations. Pre-existing social ties and relational orientation are prevalent in both types of research collaborations. However, they have different consequences for collaboration outcomes. Pre-existing social ties strongly vary in their types and strength, and negatively affect collaboration outcomes unless they result in the selection of competent and motivated partners. Relational orientation manifests itself in a task-related and social exchange between collaboration partners, which contributes to outcomes such as knowledge acquisition and business performance. Korean collaboration managers should rely only on pre-existing social ties that are well-aligned with task-related requirements when initiating and conducting research collaborations. However, the creation of strong relationships between collaboration team members of partnering organizations should be encouraged.