Chapter Topics#
The chapters progress from information systems in organizations, processes, strategy, and ethics, through the technology foundations of infrastructure, data, artificial intelligence, and cybersecurity, to enterprise and customer-facing applications and managerial decision making, and finally to developing systems, managing projects, and governing digital platforms. Preview, Case Study, and Homework assignments accompany every chapter.
Chapter |
Topics |
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Information systems in business; system components and dimensions; sociotechnical perspectives; globalization and digital firms; organizational context and change; strategic objectives; complementary assets; business value and tradeoffs. |
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Business processes and workflows; IT-enabled process improvement; roles and handoffs; systems for management groups; enterprise systems and e-business; collaboration and social business; the information systems function. |
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How organizations and information systems shape each other; economic and behavioral impacts; competitive forces; information system strategies; value chain analysis; synergies, core competencies, and networks; sustaining advantage; aligning IT with business objectives. |
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Ethical, social, and political issues; information rights and privacy; intellectual property; ethical analysis; responsibility, accountability, and liability; system quality and errors; quality of life, equity, and access; health risks and human consequences. |
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Infrastructure evolution and drivers; core infrastructure components; networks and the internet; mobile platforms and BYOD; virtualization and cloud computing; AI workloads and edge computing; open source and outsourcing; infrastructure governance and investment. |
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Data resources and storage; data models and relationships; data ownership and governance; warehouses and data lakes; business intelligence and dashboards; descriptive and predictive analysis; accuracy, completeness, and timeliness; data controls and decision consequences. |
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Models and data; training and inference; prediction and classification; prompts and context; content generation; agents and workflows; bias, privacy, and security risks; human judgment and accountability. |
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Assets and vulnerabilities; attack patterns; human, organizational, and business risk; identity and access management; encryption and monitoring; security policies and training; continuity and incident response; auditability and control testing. |
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ERP shared data and processes; ERP configuration and implementation; customer data and touchpoints; CRM for sales, service, and marketing; CRM data quality and trust; supplier and logistics systems; supply chain planning, visibility, and resilience. |
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Physical and digital channels; marketplaces and channel consistency; personalization and service quality; digital-physical handoffs; inventory, payment, and delivery; returns and last-mile constraints; order management and API synchronization; analytics and coordination. |
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Supply chain flows and participants; visibility and information sharing; demand forecasting; sourcing, production, and inventory planning; transportation and warehousing; distribution, fulfillment, and returns; disruption and supplier dependence; traceability and resilience. |
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Decision types and information needs; managerial roles and decision context; dashboards and business intelligence; decision support models and performance measures; human judgment and bias; human and system responsibilities; capturing and sharing knowledge; reusing knowledge in work. |
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Needs and problem definition; stakeholders and scope; requirements quality and change; analysis and architecture; usability and solution design; development approaches; testing and user acceptance; conversion, production, and maintenance. |
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Business cases and portfolio fit; scope, schedule, and cost; benefits, stakeholders, and risk; quality assurance and quality control; acceptance and defect management; build, buy, or outsource decisions; SaaS, managed services, and SLAs; vendor dependence and hidden costs. |
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Platform roles and services; APIs and data flows; scale and cross-border delivery; complementors and network effects; localization and interdependence; platform rules and trust; regulation and accountability; data sovereignty and coordination. |
The appendices support the course’s research and writing assignments from the first weeks: Annotated Bibliography, Using Zotero in Word, Notes on APA, and Quality Sources.