Preface#
Strategic Information Systems is a set of teaching notes and a working textbook for studying how organizations use information systems to compete, coordinate work, make decisions, and manage risks. The book treats information systems as managerial, technical, and organizational systems at the same time. Students will examine the technologies themselves, but they will also ask why those technologies matter, who benefits from them, what tradeoffs they create, and how they shape organizational strategy.
This book is designed for undergraduate and graduate students in business, information systems, management, analytics, and related programs. It assumes no specialized technical background beyond basic digital literacy and a willingness to reason carefully about organizations. When technical topics appear, the goal is to connect them to business decisions, not to turn every reader into a specialist in infrastructure, cybersecurity, databases, or artificial intelligence.
The fifteen chapters follow four parts:
Part I: Enterprises introduces information systems as strategic resources: systems in organizations, business processes, IS strategy, and the ethical and social issues they raise.
Part II: Technology examines the technology foundations of modern systems: infrastructure, data and analytics, artificial intelligence, and cybersecurity.
Part III: Applications focuses on major business applications: enterprise applications, omnichannel commerce, supply chains, and decision making.
Part IV: Managing Systems turns to developing systems, managing projects, and governing digital platforms in real organizations.
Each chapter opens with learning objectives and a concept map, continues through two to four content sections and a curated references list, and closes with Preview, Case Study, and Homework assignments. Chapter Topics lists what each chapter covers.
Artificial intelligence is treated throughout the book as both a technology and a managerial challenge. Students may use AI tools to brainstorm questions, clarify concepts, compare alternatives, and improve drafts, but AI output should never replace careful reading, source checking, or independent judgment. In this course, useful AI work means asking better questions, testing claims against evidence, and explaining how a system affects people, processes, decisions, and accountability.
AI also raises strategic and ethical questions that belong at the center of information systems study. Organizations must decide where automation is appropriate, how data should be governed, how model outputs should be evaluated, and who remains responsible when systems influence decisions. Students should therefore treat AI as part of the larger sociotechnical system: powerful, useful, limited, and always shaped by organizational choices.
The book is also a collection space for current readings, research cases, teaching examples, and class materials. Chapters may begin as resource pages before they become fully developed lessons. That is intentional. Strategic information systems changes quickly, so the book should stay open to new cases, new technologies, and new managerial questions.
Students should use each chapter to identify the central management problem, the relevant information technology, the organizational context, and the strategic consequence. A useful answer in this course rarely stops at naming a tool. It explains how the tool changes work, information flows, incentives, coordination, competition, accountability, or risk.
The appendices collect supporting materials on research and writing that sit outside the main chapter sequence: the annotated bibliography assignment, using Zotero in Word, notes on APA style, judging source quality, and two essays on student publishing. The bibliography records the sources that inform the book and will grow as chapters develop.
