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The United Arab Emirates (UAE) offers a level playing field to all ethnic entrepreneurs (EE’s) operating from within it. The purpose of this qualitative research case study is to explore the reasons underpinning the relatively greater success that Indian-origin EE’s in the UAE have been enjoying for sustained periods – and across diverse industries – relative to their counterparts belonging to several other nations.

Qualitative research case study that draws from data gathered through 30 interviews of participants identified through expert sampling.

Whereas the UAE treats all its ethnic entrepreneurs (EE’s) alike and provides them with a level platform to operate from, the EE’s from India have consistently been outperforming those from all other nations, particularly within the context of the UAE’s large businesses spanning diverse industries. Three features seem to explain their success: their high tolerance for ambiguity; thriftiness; and intercultural competence.

Two key limitations were faced: firstly, the negligible research literature on ethnic entrepreneurship in the UAE, and related official statistics such as details (by ethnicity/nationality) of EE-owned businesses, and secondly, the industry-wise break down of such businesses and their performance, as available in other developed nations hosting EE’s. Resultantly, alternate sources of data have been used to complete this research.

Given the UAE’s national-level institutionalised efforts to promote entrepreneurship amongst its citizens and wider populace, there are many implications that this study holds for existing and future entrepreneurs.

While on the one hand, the UAE and the wider Gulf Cooperation Council region have been witnessing frenetic ethnic entrepreneurial activity in the past decade, the research literature on the regions’ ethnic entrepreneurship is extremely patchy. This case study serves to significantly bridge this gap, and to the best of the authors’ knowledge, this is the first work, that extensively explores the entrepreneurial trajectory of Indian EE’s in the UAE, and the factors driving their success.

This study aims to analyze government hotline text data and generating forecasts could enable the effective detection of public demands and help government departments explore, mitigate and resolve social problems.

In this study, social problems were determined and analyzed by using the time attributes of government hotline data. Social public events with periodicity were quantitatively analyzed via the Prophet model. The Prophet model is decided after running a comparison study with other widely applied time series models. The validation of modeling and forecast was conducted for social events such as travel and educational services, human resources and public health.

The results show that the Prophet algorithm could generate relatively the best performance. Besides, the four types of social events showed obvious trends with periodicities and holidays and have strong interpretable results.

The research could help government departments pay attention to time dependency and periodicity features of the hotline data and be aware of early warnings of social events following periodicity and holidays, enabling them to rationally allocate resources to handle upcoming social events and problems and better promoting the role of the big data structure of government hotline data sets in urban governance innovations.

This study aims to expand understanding of the diversity of virtual influencer forms by investigating their nonhuman-like, animal and graphic or cartoon variations.

A three-year multisite longitudinal netnography studied 174 virtual influencers and spanned ten social media platforms. Typological categories were constructed from the data set, focusing on 14 influencers located across quadrants. In-depth findings were then developed for eight illustrative cases.

Findings deepen the knowledge of the virtual influencer sphere by highlighting diversity in human-like, nonhuman-like, imaginative and realistic forms. The authors postulate four types of virtual influencers: hyper-human, antihuman, pan-human and alter-human. These forms are linked to specific personalities and communication styles, addressing various consumer needs. Imaginatively represented virtual influencers may prompt audiences to reevaluate beliefs, values and behaviors. These findings challenge prior work’s focus on attractive, hyperreal and human-like virtual influencers, encouraging consideration of divergent types engaged in novel meaning-shaping activities and targeting different segments.

This research paves the way for consumer and marketing researchers and practitioners to broaden their representations of virtual influencers beyond the human-like, beyond the commercial and into new worlds of fantasy, imagination and posthuman possibility.

Different types of virtual influencers speak to diverse audiences and convey marketing messages in subtly different ways. Some forms of virtual influencers fit into roles like defiant voices, oppositional characters, activists, educators, entertainers and change leaders. As the universe of virtual influencers diversifies, this research opens new avenues of marketing for brands.

This study pioneers comprehensive qualitative research across the universe of virtual influencers and their communities, exploring links to popular culture. It offers connections between virtual influencer forms and communication strategies for marketers.