Advanced Management Information Systems: Models, Concepts and Cases
Advanced Management Information Systems: Models, Concepts and Cases is a 379-page English textbook for advanced study of management information systems. It combines theoretical models and research with practical frameworks and case studies across topics including AI, data analytics, enterprise architecture and information systems governance.
At a glance
- Covers business-IT alignment, data-driven decision-making and ethical challenges in information systems management.
- Connects foundational IS research with case studies and practical frameworks.
- A companion website is described as offering teaching materials, including lecture slides and discussion questions.
Reference price: $119.00
Price checked: 13 Nov 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- Broad coverage spans established MIS concepts and emerging topics such as artificial intelligence and data analytics.
- Case studies are intended to connect theoretical material with practical organisational contexts.
Technical specifications
8 specifications| Publisher | Springer |
|---|---|
| Publication date | 26 June 2025 |
| Language | English |
| Print length | 379 pages |
| ISBN-10 | 3031879031 |
| ISBN-13 | 978-3031879036 |
| Weight listed | 708 g |
|---|---|
| Dimensions | 15.6 x 2.24 x 23.39 cm |
What to know before buying
Listing details to confirm
The book is described as building on foundational MIS knowledge rather than teaching introductory topics in detail. A basic understanding of information systems is recommended.
Who is it for?
A good fit for
- Advanced undergraduate Information Systems students
- Master’s students studying Information Systems
- Professionals seeking to deepen their MIS knowledge
- Instructors looking for a course text with companion teaching resources
Less suited to
- Readers seeking a detailed introduction to basic information systems concepts
Frequently asked questions
Who is this book intended for?
It is presented for advanced learners, including bachelor’s students in Information Systems or related fields, master’s students and professionals. Some prior knowledge of information systems is recommended.
What subjects does it cover?
Listed topics include artificial intelligence, data analytics, enterprise architecture, information systems governance, business-IT alignment, data-driven decision-making and ethical challenges.
Are teaching resources available?
The listing describes a companion website with instructor materials such as lecture slides and discussion questions. It does not specify access conditions.
