دانلود کتاب تصمیمات قابل برنامه‌سازی برای سازمان‌های کسب و کار – یک نگرش شبکه عامل به سمت نوآوری‌های هوش مصنوعی

We are witnessing a transformative era, driven by a surge of innovative artificial intelligence (AI) technologies, methods, and systems that are reshaping our world in profound and often disruptive ways. For busi-nesses, this transformation demands agility and the capability to integrate AI innovations into socio-technical systems that not only maximize orga-nizational productivity and impact but also uphold human values and societal ethics.
As AI research and development continue to deliver unprecedented capabilities—enhancing speed, autonomy, scale, flexibility, decision-making, and personalization—our ability to design systems that effectively harness these features is increasingly challenged. Addressing complex, “wicked” problems with AI-based systems requires more than technical expertise; it demands intellectual control over the design process. This means understanding system behaviors across all levels and contexts of use—not eliminating uncertainty, but developing the engineering and management capabilities to navigate it.
For over five decades, the information systems and management science communities have employed Design Science Research (DSR) and Action Design Research (ADR) to create scientifically rigorous and practi-cally relevant solutions to business challenges. These methodologies foster collaboration between researchers and practitioners, enabling the iterative development and evaluation of innovative artifacts that balance technical functionality with social relevance. In this context, Programmable Decisions for Business Organizations: An Actor-Network Approach to AI-Driven Innovation by Egbert Steyn, Merwe Oberholzer, Matthew Mullarkey, and Pieter Buys offers a compelling and timely contribution. The authors present a robust, industry-relevant design approach for developing AI-based decision-support systems. Through an elaborated ADR process, they guide readers through the diagnosis, design, and implementation of a complex supply chain application that spans finance, marketing, logistics, manufacturing, IT, and strategic development.
What sets this work apart is its focus on the programmability and explainability of AI-driven decision-making across the entire supply chain. Grounded in Actor-Network Theory, the book provides a rigorous frame-work for capturing the complexity of the problem space and for designing balanced, human-AI decision-making solutions throughout the project lifecycle.
Perhaps most compelling is the book’s transparency in detailing the full development process of an innovative AI application. Readers are taken through an iterative, evidence-based journey, with rigorous vali-dation steps that assess how well the evolving system aligns with the goals of human actors, business functions, and the broader social envi-ronment. Industry professionals will find practical insights into identifying and developing AI solutions for complex challenges, while academic audi-ences will appreciate the actionable lessons drawn from a real-world case study using an advanced ADR methodology.
In sum, Programmable Decisions is a significant addition to the growing literature on AI innovation. It exemplifies how to achieve intel-lectual control in the design of scientifically rigorous and industrially relevant AI-driven systems. The authors have delivered a model case study that will inform and inspire practitioners and scholars in the field.