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.