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Social media has promoted anti-brand communities, which build around the shared aversion to a specific brand. The purpose of this paper is to investigate social media-based anti-brand communities and their effects on the sports team brand in question.

The authors conducted a netnographic study of Facebook-based anti-brand communities that oppose a professional football team.

The netnographic study reveals characteristics and drivers of Facebook-based anti-brand communities that oppose a professional football team. The research further identifies co-destructive behaviours of anti-brand community members that harm the sports team brand and even its sponsors. However, the findings also reveal that anti-brand communities may play a positive role in sport, as they strengthen the relationship between fans of the opposed brand and this brand and foster rivalry among football fans.

This research establishes the relevance of social media-based anti-brand communities for sports brands. Recommendations are made for team sport brands with regards to how to deal with the phenomenon of anti-brand communities.

While the previous research on anti-brand activism focused on either offline movements or movements using traditional websites, this research is the first to investigate the pivotal role of social networking sites for anti-brand activism. The paper further uncovers unique motivational, attitudinal, and behavioral patterns of fans that meet in communities opposing not only the rival team, but also the brand associated with the team. Findings show ways to better understand and deal with such anti-brand communities in sports.

The purpose of this study is twofold: first, to identify the categories of artificial intelligence (AI) chatbot service failures in frontline, and second, to examine the effect of the intensity of AI emotion exhibited on the effectiveness of the chatbots’ autonomous service recovery process.

We adopt a mixed-methods research approach, starting with a qualitative research, the purpose of which is to identify specific categories of AI chatbot service failures. In the second stage, we conduct experiments to investigate the impact of AI chatbot service failures on consumers’ psychological perceptions, with a focus on the moderating influence of chatbot’s emotional expression. This sequential approach enabled us to incorporate both qualitative and quantitative aspects for a comprehensive research perspective.

The results suggest that, from the analysis of interview data, AI chatbot service failures mainly include four categories: failure to understand, failure to personalize, lack of competence, and lack of assurance. The results also reveal that AI chatbot service failures positively affect dehumanization and increase customers’ perceptions of service failure severity. However, AI chatbots can autonomously remedy service failures through moderate AI emotion. An interesting golden zone of AI’s emotional expression in chatbot service failures was discovered, indicating that extremely weak or strong intensity of AI’s emotional expression can be counterproductive.

This study contributes to the burgeoning AI literature by identifying four types of AI service failure, developing dehumanization theory in the context of smart services, and demonstrating the nonlinear effects of AI emotion. The findings also offer valuable insights for organizations that rely on AI chatbots in terms of designing chatbots that effectively address and remediate service failures.

The purpose of this paper is to create an instrument for conducting future supply chain transparency research by developing and validating a measure of supplier transparency. Specifically, the research develops a two-dimensional measure of supplier transparency that builds on previous studies that independently examine visibility and traceability in supply chain management (SCM)/logistics.

The scale development process is carried out over three stages (item generation, scale purification, scale validation). Survey methods are used with two separate data collection phases involving a total of 358 managers from multiple and diverse industries.

The new supplier transparency measure is a concise, two-dimensional scale that has the potential for significant usage in the development and testing of SCM theory.

This study implemented a purposefully general sampling procedure. However, different industries may have additional, specific constraints regarding what it means to be a transparent supplier. Additional opportunities for future research include applying the new supplier transparency measure to examine supply chain frameworks, regulatory compliance, supply chain relationships and the implementation of information technology.

Firms are under increasing pressure to be transparent about partner sourcing, resource utilization and other transactional issues related to the products and processes in their supply chains. The new measure may be utilized to address these issues as well as the interaction between supply chain operations and stakeholders by facilitating a quantitative assessment of supplier transparency.

Drawing on the established constructs of supply chain visibility and traceability, a measure of supplier transparency is developed, supported by a review of the literature, input from subject matter experts and interviews with supply chain managers. Suggestions are made for future validation of supplier transparency within established supply chain frameworks.

Recent years have seen a meteoric rise in the study of narcissism in entrepreneurship, although little consolidation has occurred in this area. The purpose of this paper is the development of an integrative framework to harmonise the academic discussion and serve as a structured foundation for future research.

The authors conducted an artificial intelligence-aided, structured literature review focused on content analysis of concepts and contexts to map out current findings and research gaps in startup narcissism research.

According to the findings of this study, narcissistic tendencies have the potential to positively influence startup success early on in an entrepreneur's journey, but after a certain point in the process, the influence of narcissism on success becomes predominantly negative.

The research field is currently not very harmonised regarding research measures, research subjects and key research terms. Further research must use a standardised approach to add value to the research body.

Narcissism is a two-sided sword for founders. In the early stages of a company, many of the founder’s tasks can benefit from narcissistic tendencies. In the later stages of a company, that might shift to overwhelmingly negative effects of narcissism.

Methodically, this study is the first one to establish an artificial intelligence component to add value to the results of a review paper to the best of the authors’ knowledge. The results of this study provide a clear framework of entrepreneurial intention, entrepreneurial activity and entrepreneurial performance to give researchers the opportunity of a more differentiated way of organising work.

Turnover of employees is a key challenge for companies. The same is true for sports clubs that must set appropriate incentives to decrease their athletes’ turnover intention. As salary caps and team budgets restrict monetary incentives, the purpose of this paper is to investigate the effect of organizational support on turnover intention of professional team sports athletes.

The paper applies a combined approach of qualitative and quantitative research and considers the specific requirements of European professional team sports. First, a qualitative study investigates organizational support in team sports and identifies relevant non-monetary incentives. Second, a quantitative study tests the effects of the identified organizational support incentives on turnover intention using a unique data set of professional team sports athletes. Third, a moderation analysis measures possible effects of age.

Through the qualitative study, three relevant non-monetary incentives could be identified in the context of professional team sports: integration of family (IOF), second career support, and private problem support. The subsequent quantitative study of football, ice hockey and handball athletes assesses the effectiveness of the identified incentives. All three incentives negatively influence athletes’ turnover intention, while IOF has a substantially stronger negative effect on turnover intention for younger athletes.

The findings indicate the importance of organizational support to decrease athletes’ turnover intention. Although money is relevant, sports clubs also need to address non-monetary incentives to decrease their athletes’ turnover intention.

Most countries face important economic, social and environmental challenges and are strongly committed to invest in research and development (R&D) activities to help support the long-run economic sustainable growth. This paper aims to extend the previous research on macro-economic growth models and introduces endogenous variables to determine the amount of investments in R&D activities.

The model considers four different criteria and six economic sectors and aims at finding the optimal allocation of labor across different sectors. The model also endogenously determines the amount of investments in pollution abatement activities together with energy-related R&D efforts. The paper presents an application to the case of Kazakhstan, an emerging Asian country, that aims to become one of the top 30 most developed countries in the world by 2050.

The model shows the limits of the Kazakh agenda that identified too ambitious goals as the country has to go through a sociotechnical transition that involves a range of modifications in institutional structures, together with changes in user practices and the technological dimension. Kazakhstan should invest more in R&D activities able to develop sustainable energy sources to face the current electricity consumption demand and to reduce the greenhouse gas emission in the future.

The paper provides valuable knowledge for researchers and policy makers interested in the impact of R&D on the long-run economic sustainable growth.

The aim of this study is to investigate the influence of atmosphere on consumer emotions and wine purchasing behaviours to assist winery management in the development and communication of a strong positioning strategy. Studies in retail have indicated the importance of atmosphere in relation to consumer emotions and behaviours. Until now, limited evidence has existed on how the three dimensions of atmosphere may influence consumers visiting wineries.

The study consisted of surveys conducted in two stages. The first survey (n = 170) explored the factors applied in this study, and the second survey (n = 377) analysed the relationship between the atmosphere, emotions and consumer purchasing behaviours at wineries.

Findings indicated that atmosphere at a winery has the potential to positively influence consumer emotions and wine purchasing behaviours. Live music and the natural environment were particularly formative of atmosphere and consumer emotions and their subsequent wine purchasing while visiting the winery. The distinction allowed this study to analyse factors important for consumers to increase the time they spent at the winery.

The geographical location of the study is limited to one state in Australia.

In distinguishing between different consumer wine purchasing behaviours, drinking wine and buying wine, this paper contributed to three important intersectoral fields: wine tourism, atmosphere and consumer behaviour. Additional factors that contributed to consumer emotions and wine purchasing behaviours included live music and the natural environment at wineries.

The purpose of this study is to present a holistic review of journal articles on value cocreation in the tourism and hospitality field. By distinguishing similarities and differences in the contexts of China and other regions, the authors identify targeted research directions.

This study collected 438 English articles and 31 Chinese articles on value cocreation in tourism and hospitality published in the Web of Science, Scopus and China National Knowledge Infrastructure online databases. After analyzing the study location of all articles in the sample, the authors identified 79 English-language articles that adopted China as the context of the study. The first data set included non-China-focused publications and the second data set included China-focused publications. A comparative bibliometric methodology was conducted.

The results indicate similarities and differences between the two data sets in terms of research methods, topics and future research directions. Seven major concepts were identified in the first data set: hospitality value cocreation; the value generation process; key stakeholders; outcome variables; the application of service-dominant logic; peer-to-peer accommodation and destination management. Four research focuses were identified in the second data set: the application of customer-dominant logic; the value generation process; resource integration and the cocreation experience.

This research contributes to the understanding of tourism and hospitality cocreation systems through literature analysis and encourages future research on the nexus of the Chinese and global contexts. This systematic investigation extends the concept of value cocreation by integrating its implementation process and value categories and further evaluates the consequences and benefits of value cocreation, which helps clarify how winners and losers can adjust their strategies accordingly.

The originality of this paper lies in the adopted comparative bibliometric analysis which comprehensively reviewed and compared the characteristics of value cocreation research across two contexts. In addition, the study dialectically assesses Chinese tourism cocreation phenomena and their impacts from a global perspective.