Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems

PurposeWith the rapid diffusion of the metaverse into all aspects of businesses and the education industry, scholars have predominantly focused on examining its projected benefits and harms, yet have overlooked to empirically explore its unpredictable nature, which offers an exciting realm of unexplored challenges and opportunities.Design/methodology/approachThis research adopts a qualitative research design in the form of 24 interviews from a single EdTech to investigate the possibility of unexpected developments resulting from the integration of the metaverse into its solutions.FindingsThree noteworthy observations have emerged from the analysis: technological obsolescence, resource allocation imbalance, and monoculturalism.Originality/valueThis research pioneers an empirical exploration of the latent outcomes stemming from metaverse adoption within EdTechs, while also introducing a novel theoretical framework termed “meta-governance,” which extends the Edu-Metaverse ecosystem.

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Technostress and employee safety performance in China: The moderating role of perceived organizational support and the mediating role of job burnout

Zhang,

Wang,

et al. 2024

Journal of General Management

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This study investigates the adverse effects of technostress on employee safety performance and the moderating influence of perceived organizational support in mitigating these effects. The study also investigates the mediating role of job burnout in the relationship between technostress and employee safety performance. The research highlights that sources of technostress can negatively impact safety performance, casting light on an emerging challenge posed by the rapid technological advancements in work environments. Furthermore, the results reveal that job burnout mediates the adverse effects of technological stress on employees’ safety performance and perceived organizational support can serve as a buffer, reducing the experience of technostress and thereby potentiating better safety performance. This study contributes to the Job Demands-Resources (JD-R) model by elucidating how personal and organizational resources protect against the negative implications of technostress in safety-sensitive work contexts. The insights gained provide a foundation for developing intervention strategies aimed at reducing job burnout and facilitating enhanced workplace safety standards.

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Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems

Cited by 3 publications

References 53 publications

Harnessing AI for Sustainable Entrepreneurial Growth in Developing Countries

Harnessing AI for Sustainable Entrepreneurial Growth in Developing Countries

Unlocking immersive education: the emergence of the meta-governance framework

Technostress and employee safety performance in China: The moderating role of perceived organizational support and the mediating role of job burnout

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