Redesigning Organizational Information Systems for Productivity and Digital Well-Being - Softcover

 
9798260001127: Redesigning Organizational Information Systems for Productivity and Digital Well-Being

Inhaltsangabe

Organizational Information Systems (OIS) have long prioritized efficiency and performance, underpinning data-driven management and productivity. Yet rapid digital transformation has reshaped how individuals interact with these systems, often introducing digital overload and cognitive strain. These unintended effects reveal a growing tension between efficiency and employee well-being. There remains a pressing need for human-centered OIS research that integrates performance with digital well-being through adaptive and ethically designed systems. Redesigning Organizational Information Systems for Productivity and Digital Well-Being explores how organizations can develop next-generation information systems that balance technological performance with human sustainability. Through interdisciplinary perspectives from information systems, management science, organizational behavior, human-computer interaction, digital psychology, and AI governance, this book provides conceptual frameworks, design principles, empirical research, and practical case studies that contribute to building resilient, ethical, and productivity-enhancing digital workplaces in an increasingly connected world. Covering topics such as the quest for meaningful work, cognitive sustainability, and algorithmic ergonomics, this book is a fundamental academic resource graduate and doctoral students, industry practitioners, decision-makers, HR directors, digital transformation leaders, enterprise architects, organizational development consultants, and more.

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Über die Autorin bzw. den Autor

Houssem Chemingui is an Assistant Professor of Information Systems at Brest Business School, France. He earned his PhD in Computer Science from Université Paris 1 Panthéon-Sorbonne, where his doctoral research focused on advanced approaches to software configuration and process-oriented decision support systems. His research lies at the intersection of artificial intelligence, data analytics, and software engineering, with a particular emphasis on guided product configuration and decision support for complex organizational processes. His work addresses several application domains, including business process management, logistics, and higher education, exploring how intelligent systems can enhance decision-making and organizational performance. He has published and presented his research in international conferences and scientific venues, and maintains active collaborations with both academic institutions and industry partners. He also serves as a reviewer for academic journals published by Elsevier and Springer. Through his research and teaching activities, he aims to bridge theoretical contributions and their practical implementation in real-world contexts.

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