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This paper aims to investigate whether consumers’ identification with a brand community makes them more likely to engage in compulsive buying behavior. Specifically, this research shows that consumers are more likely to experience obsessive passion for brands they identify with if they are also part of brand communities, which, in turn, makes them more likely to engage in compulsive buying behavior.

An online survey (n = 533) among members of the Adorable Representative M.C. for Youth (ARMY) Bangtan Boys (BTS) brand community was conducted. A partial least squares approach was employed to test the validity and reliability of the measurement model as well as to assess the structural equation model.

Results show that brand identification affects harmonious and obsessive passion and that both relationships are moderated by brand community identification. Harmonious passion, in turn, has a positive effect on impulsive buying, whereas obsessive passion has a positive effect on both impulsive and obsessive-compulsive buying. Furthermore, consumer hedonic motivations moderate the relationship between (i) harmonious passion and impulsive buying and (ii) obsessive passion and obsessive-compulsive buying.

To the best of the authors’ knowledge, this work is the first to examine the potential negative impacts brand community identification has on compulsive buying behavior. Besides contributing to research on the negative aspects of brand community identification, by employing a model that distinguishes between two types of passion and compulsive buying, the study provides clarification on relationships suggested by prior studies.

This article aims to investigate whether there is a relationship between education for the labor market in the post-pandemic stage and the educational quality of universities, taking as a sample a group of Latin American countries and their main trading partners. Reference is made to the Global Competitiveness Report 2020 of the World Economic Forum (WEF) and the Quacquarelli Symonds (QS) index, which evaluates the quality of universities.

Correlations, clusters and T-tests were generated to test for significant differences, resulting in two blocks of countries being identified with statistically significant differences in educational efforts to prepare their citizens for the labor market and the quality of their universities.

It is concluded that there are examples of Latin American countries that, although they are emerging economies, are updating their educational systems at an accelerated pace to meet the needs demanded by the labor market, such as Chile and Argentina. In addition, there are some particular cases of Latin American QS universities that although they are not at a high level in their overall educational quality as a university, compared to North American and Asian universities, their graduates do show a high employability index. This means that in the graduate profile, these universities are also accelerating efforts to position them at a high level of preparedness to respond to the jobs and markets of tomorrow, just as the universities in developed economies do.

Although the sample size is a limitation of this work, since it is based on secondary information reported by the WEF (2020) and the QS World University Rankings (2021), it contributes value by analyzing specific cases. Despite its limitations, the study yields meaningful results that put the challenges of post-pandemic employment and the role that universities play in a comprehensible framework.

These results put special attention on the work of universities as a crucial entity to prepare citizens to develop the competencies needed for the post-pandemic labor market, especially in terms of critical thinking and digital skills. Human capital formation will drive the post-pandemic recovery process of leading countries and universities.

The purpose of this study is to document how a traditional residential neighborhood, Ihwa village in Seoul, South Korea, is transformed into a tourist attraction and demonstrate the complexity of the overtourism phenomenon and the multifaceted conflicts among stakeholders that emerged in the course of urban transformation. Particularly, the study explores how tourism growth, urban transformation and overtourism are intertwined with each other and how the role of social media and media contributed to tourism growth and the transformation of an urban neighborhood.

The study conducted text analytics (a big data analysis) using personal blogs and news articles. Our data for text analytics was defined to retrieve all news articles and blogs existent in the NAVER portal, the largest Korean portal and search engine, for the period between January 1, 2006, and December 31, 2018. The data was collected using a web crawling program, TEXTOM version 3.0.

Text analysis of blog entries and news articles suggests that each medium has its unique role and domain to play. While the news media contributed to the initial surge of interest in Ihwa village, genuine growth of tourism in Ihwa village seems to be attributed to social media. Texts that appeared in blogs strongly indicated that people used their blogs to share their trip experiences, which can be subsequently assumed that blogs had an influential role in promoting a small place like Ihwa mural village, while news articles tended to highlight negative or unusual events occurred in Ihwa village. The study also addressed the multifaceted nature of the conflicts that were inherent in the issue of urban regeneration and how those conflicts were developed and manifested in the process of touristification and overtourism in Ihwa village. As touristification can manifest in various forms in different places, the case of Ihwa village demonstrates a unique development of touristification; private tourism companies or tourism agencies did not initiate or intend to cause tourism gentrification. Rather, touristification is a byproduct of urban revitalization through public art and is a result of interplay between the local government’s interest, social media and new tourist demand.

Text analytics using big data have rarely been attempted to understand the role of social media in relation to tourism growth and touristification of an urban tourism place. This study advances the literature by applying big data analysis to user-generated content in blogs. The study also contributes to the deeper understanding of a different developmental pattern of touristification in an urban tourism place as well as the complexity of the overtourism phenomenon and the multifaceted conflicts among stakeholders.