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As organizations strive to balance innovation with accountability, this second volume in a trilogy on fuzzy systems and digital ethics examines how ethical and sustainable practices can be operationalized at the institutional level. Through the lens of design science and fuzzy logic, it demonstrates how organizations can build resilient, data-driven infrastructures that support responsible decision-making. Theoretical models and empirical insights highlight the role of fuzzy logic in enhancing the adaptability and integrity of enterprise systems.
Volume II extends the ethical framework of the honorable merchant to the organizational level. It examines how institutions can uphold ethical standards in competitive environments, with case studies from business informatics, computer science, and engineering. Topics include performance management, customer classification, employee satisfaction, marketing analytics, and service level optimization. The volume concludes with a responsible actions framework, reinforcing the integration of ethics into complex organizational processes.
This textbook trilogy is primarily intended for students of computer science, business information systems, and innovation management who aspire to make a meaningful impact. It will also appeal to managers who value balanced perspectives and data-driven analysis.
List of contents
Fuzzy Sets and Systems.- Performance Management.- Customer Classification.- Job Satisfaction.- Marketing Analytics.- Service Levels.- Responsible Actions.
About the author
Edy Portmann
is Professor of Soft and Cognitive Computing at the Department of Informatics, the Human-IST Institute, and the Mobiliar Center for Resilience at the University of Fribourg, Switzerland. He also serves as President of the FMsquare Foundation. His research interests include cognitive computing, computational ethics, computing with words, perceptual computing, and soft computing.
Gwendolin Wilke
is a Lecturer in Data Analytics and Mathematics at the University of Applied Sciences and Arts Northwestern Switzerland, and a member of the FMsquare Foundation, both based in Switzerland. Her research focuses on data analytics and human-data interaction.
Luis Terán
is a Lecturer and Senior Researcher at the Lucerne University of Applied Sciences and Arts, and a Senior Researcher and Privatdozent at the Human-IST Institute, University of Fribourg, both Switzerland. He is also President and Founder of the Society for Ethical, Inclusive, and Sustainable Computing. His research interests include data science, explainable artificial intelligence, recommender systems, human-centered computing, digital ethics, and fuzzy classification.
Sara D’Onofrio
is an IT specialist at the Canton of Zurich, a member of the FMsquare Foundation, and a volunteer for non-profit organizations, all based in Switzerland. Her research focuses on IT business alignment, human-machine interaction, artificial intelligence, IT security, and digital ethics.
Summary
As organizations strive to balance innovation with accountability, this second volume in a trilogy on fuzzy systems and digital ethics examines how ethical and sustainable practices can be operationalized at the institutional level. Through the lens of design science and fuzzy logic, it demonstrates how organizations can build resilient, data-driven infrastructures that support responsible decision-making. Theoretical models and empirical insights highlight the role of fuzzy logic in enhancing the adaptability and integrity of enterprise systems.
Volume II extends the ethical framework of the honorable merchant to the organizational level. It examines how institutions can uphold ethical standards in competitive environments, with case studies from business informatics, computer science, and engineering. Topics include performance management, customer classification, employee satisfaction, marketing analytics, and service level optimization. The volume concludes with a responsible actions framework, reinforcing the integration of ethics into complex organizational processes.
This textbook trilogy is primarily intended for students of computer science, business information systems, and innovation management who aspire to make a meaningful impact. It will also appeal to managers who value balanced perspectives and data-driven analysis.
