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The purpose of this paper is to examine the relationship between virtual meeting participation and wellbeing. Based on the conservation of resources theory, we hypothesize that participation in more virtual meetings is associated with both negative and positive wellbeing indicators.

An online survey was sent to 3,530 employees across five Belgian universities in April 2020. Useful data from 814 respondents was collected and analyzed to test the hypothesized relationships.

The authors find support for their hypotheses, namely that participating in more virtual meetings is associated not only with negative wellbeing indicators (workload, stress and fatigue) but also with a positive wellbeing indicator, namely work influence.

Given the unique work-from-home context during the pandemic, the generalizability of our findings may be limited. Nevertheless, this study contributes to the literature on Meeting Science and Virtual Work, as it is the first study to empirically relate virtual meetings to wellbeing indicators, including a positive one.

As virtual meetings and work-from-home are expected to remain prevalent, understanding wellbeing implications is of high managerial importance. Their findings can be useful for (HR) managers who develop flexible work policies for a post-pandemic world.

The findings draw attention to the importance of maintaining a healthy balance between productivity and wellbeing in creating a sustainable work(-from-home) context.

The COVID-19 lockdown provided a unique opportunity to obtain insight on the relationship between virtual meetings and wellbeing at an unprecedented scale.

This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling.

Qualitative study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed and tested. Stakeholders include judges, gymnasts, coaches and a technology vendor.

We identify perceived constraints of automation, such as too much mechanization, preciseness and inability of the system to evaluate artistry or to provide human interaction. Moreover, we find that the complexity and impreciseness of the rules prevent automation. In addition, we identify affordances of augmentation such as speedier, fault-less, more accurate and objective evaluation. Moreover, augmentation affords to provide an explanation, which in turn may decrease the number of decision disputes.

While the unique context of our study is revealing, the generalizability of our specific findings still needs to be established. However, the approach of considering task types is readily applicable in other contexts.

Our research provides useful insights for organizations that consider implementing AI for evaluation in terms of possible constraints, risks and implications of automation for the organizational practices and human agents while suggesting augmented AI-human work as a more beneficial approach in the long term.

Our granular approach provides a novel point of view on AI implementation, as our findings challenge the notion of full automation of mechanical and partial automation of thinking tasks. Therefore, we put forward augmentation as the most viable AI implementation approach. In addition, we developed a rich understanding of the perception of various stakeholders with a similar institutional background, which responds to recent calls in socio-technical research.