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The purpose of this paper is to argue for the sustained need for the physical workplace and real-life encounters in higher education even in the digital age despite being seemingly transformable into the virtual sphere as seen during the COVID-19 situation.

This study is based on a collaborative autoethnography by a group of seven higher educators with an overall 2,134 student encounters during the study’s time span. The authors then connect these practitioner observations with relevant COVID-19-related studies thereby adding to research on higher education as a workplace.

The data suggest that the physical workplace strongly bolsters the personal experience and effectiveness of higher education through contributing to its dynamics. Spaces predetermine the scope and levels of human interaction of teaching and learning. In a physical setting, all senses serve as mediators, whereas, online, only two senses are involved: vision and hearing. The two-dimensional screen becomes a mediator of communications. In the physical space, actors are free to adjust the working space, whereas the online working space is limited and defined by platforms.

Although higher education institutions may indeed fully substitute most practices formerly in a physical setting with online solutions, real-time encounters in the physical working space belong to its deeper raisons d'être.

This paper highlights the necessity of the physical workplace in higher education and describes the depriving potential of the exclusively online higher education teaching setting.

The recent advancements in smartphone technology and social media platforms have increased the popularity of artificial intelligence (AI) color cosmetics. Meanwhile, China is a lucrative market for various foreign beauty products and technological innovations. This research aims to investigate the adoption of AI color cosmetics applications and their electronic word-of-mouth (e-WOM) intention among Chinese social media influencers. Several key concepts have been proposed in this research, namely body esteem, price sensitivity, social media addiction and actual purchase.

An online questionnaire design was used in this research. A combination of purposive sampling and snowball sampling of AI color cosmetics users who are also social media influencers in China yields 221 respondents. To analyze the data, this research employs Structural Equation Modelling (SEM) method via SPSS and AMOS software. A 2-step approach, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), is implemented to prove the hypotheses and generate the results.

1) Social media addiction is a positive predictor of AI color cosmetics usage, (2) AI color cosmetics usage is a positive predictor of actual purchase, (3) actual purchase is a positive predictor of e-WOM intention and lastly, (4) there is a full mediation effect of actual purchase.

This research draws on the uses and gratification (U&G) theory to investigate how specific user characteristics affect Chinese social media influencers' adoption of AI color cosmetics, as well as how this may affect their decision to purchase branded color cosmetics and their e-WOM.