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Employee Identity, Emotion, and Adaptation
Louise Reader
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This open access book examines how artificial intelligence is rapidly transforming the workplace, reshaping tasks, roles, and professional identities. This timely and empirically grounded book offers a social psychological perspective on how employees experience and adapt to AI-driven disruption. Drawing on unique longitudinal survey data and qualitative interviews from Finland and Europe, the authors explore the emotional, cognitive, and behavioural dimensions of technological change. The book examines key themes including technostress, identity threat, self-efficacy, and creativity, and presents a human-centred framework for understanding adaptation and resilience in the age of AI. It also situates current developments within a broader historical context and considers the ethical implications of AI for work and wellbeing. Written in a clear and accessible style, the book bridges academic and practitioner audiences, offering insights for scholars in psychology, sociology, and organizational studies, as well as professionals in HR, digital transformation, and policy. It contributes to ongoing debates about the future of work by foregrounding the lived experience of employees and the psychological resources that shape their responses to technological disruption.
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Atte Oksanen is Professor of Social Psychology and Vice Dean for Research at Tampere University, Finland. He directs the Emerging Technologies Lab and has published extensively on digital technologies, social interaction, and workplace transformation. His research combines longitudinal, experimental, and qualitative methods, and has been widely cited and featured in international media.
Iina Savolainen is Senior Research Fellow and Vice Director of the Emerging Technologies Lab at Tampere University, Finland. Her research focuses on social psychology, digital wellbeing, and workplace adaptation. She has published widely on addiction, technostress, and organizational change, and teaches research methods in work-life studies.
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