Business informatics 2400-IiE3IG

1. Introduction to Business Informatics
a. Defining Business Informatics: Discussing the integration of information technology with business strategies and processes.
b. Historical Evolution of Business Informatics: Tracing the progression of Business Informatics as a scientific discipline.
c. Methodological Workshop of Business Informatics: Reviewing the tools, methodologies, and techniques used in Business Informatics.
d. Career Opportunities in Business Informatics: Presenting potential career paths and roles in this field.

2. Data, Information, Programming Languages, Computer Hardware
a. Data, Information, Knowledge, Intellectual Capital: Understanding the hierarchy of these elements and their contribution to generating business value.
b. High-level vs. Low-level languages: Comparing high-level languages, such as Python and Java, with low-level languages, like Assembly and C, and understanding their appropriate uses.
c. Choosing a Programming Language: Discussing factors that influence the choice of a programming language for specific business applications.
d. Computer and Network Hardware: Introducing fundamental components of computer and network hardware, emphasizing their functionality in executing software and upholding network connectivity.

3. Information in Management Systems
a. Information Systems in Organizations: significance and structure of information systems in business contexts.
b. Virtual Organizations: the concept of virtual organizations and how they operate within an information-driven context.
c. Learning Organizations: how organizations learn and adapt through information and knowledge management.
d. Future of Organizations in the Hyper-Informatization Era: Anticipating how advancements in information technology will impact future organizational structures and operations.

4. IT Systems in Business - Introduction
a. Selected Topics in Systems Theory: Discussing foundational concepts in systems theory and their application to IT systems in business.
b. Essence and Typology of Information Systems: Discussing the nature and types of information systems in business.
c. Selecting Appropriate IT Systems: Identifying criteria for selecting suitable IT systems for specific business needs.
d. Implementing IT Systems: Reviewing the process of implementing IT systems in business.
e. Business Analytics in Customer Knowledge Management: Understanding how business analytics contribute to managing knowledge about customers.

5. IT Systems in Business - Enterprise Architecture
a. Enterprise Architecture and its Representations: Discussing the concept of enterprise architecture and how it is represented and documented.
b. Benefits of Applying Enterprise Architecture: Reviewing the benefits of implementing enterprise architecture in business, such as improved decision-making, streamlined operations, and enhanced IT alignment.
c. Creating Enterprise Architecture: Exploring the process and methodologies involved in creating enterprise architecture.

6. IT Systems in Business – ERP and CRM Applications
a. ERP Systems: Discussing ERP systems and their capacity to unify diverse business functions into a cohesive operation.
b. CRM Systems and Business Analytics: Discussing Customer Relationship Management (CRM) systems and how business analytics enhance customer-related decisions.
c. IT System Implementation Challenges and Best Practices: Discussing potential hurdles and effective strategies in IT system implementation.
d. Success Case Studies of IT System Implementations: Analyzing real-world examples of successful IT system implementations.

7. Cloud Computing and Business
a. Types of Cloud Services: Discussing Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
b. Cloud Providers: Providing an overview of major providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and PCSS.
c. Benefits and Challenges of Cloud Computing: Examining the advantages of using cloud services and potential challenges like security and cost management.
d. Leveraging Cloud Computing in Business: Discussing how businesses can use cloud computing for competitive advantage.

8. Artificial Intelligence in Business
a. Defining AI: Introducing the definition of AI, its subfields (including machine learning, natural language processing, robotics, etc.), and the distinction between narrow AI and general AI.
b. Applications of AI: Exploring various real-world applications of AI, from recommendation systems on platforms like Amazon and Netflix to AI in healthcare, finance, and self-driving cars.
c. Ethics and AI: Discussing ethical considerations surrounding AI, including privacy issues, bias, job displacement, and the need for proper regulation.
d. Future of AI: Reviewing current trends and potential future directions of AI technology.

9. Internet of Things (IoT) and Business
a. Defining IoT: Discussing the concept of IoT, its key components, and its transformative potential for businesses.
b. IoT Systems: Introducing the key components of IoT systems.
c. IoT Impact on Business Operations: Discussing how IoT is changing business operations and customer experience.
d. IoT Case Studies: Exploring real-world applications of IoT in various industries.
e. Future of IoT in Business: Looking at potential future applications and developments in IoT for businesses.

10. E-Business and Digital Commerce
a. E-Business Models: Defining and categorizing different types of e-business models.
b. Successful E-Business Case Studies: Examining examples of successful e-business models and operations.
c. E-Business Opportunities and Challenges: Exploring the potential opportunities and challenges businesses may face in e-business.

11. E-Government and e-Administration
a. Defining E-Government: Discussing the concept of e-government and its function in streamlining modern public administration.
b. Types of E-Government Services: Reviewing the different types of services facilitated by e-government, such as G2C (Government-to-Citizen), G2B (Government-to-Business), and G2G (Government-to-Government).
c. Technologies in E-Government: Exploring the technologies used in e-government and their benefits.
d. E-Government Challenges and Opportunities: Discussing the potential hurdles and opportunities presented by e-government.
e. E-Government in Practice: Exploring practical examples of e-government implementations around the world.

12. Industry 5.0
a. Transition from Industry 1.0 to 5.0: Tracing the evolution of industry from the Industrial Revolution to the current state, Industry 5.0, characterized by deep integration between humans and machines.
b. Impact of Industry 5.0 on Different Sectors: Examining the impact and transformation brought about by Industry 5.0 in various sectors.
c. Opportunities and Challenges of Industry 5.0: Discussing potential opportunities and challenges presented by Industry 5.0.

13. 3D Printing and its Impact on Business
a. Principles of 3D Printing: Introducing the fundamental principles of 3D Printing, its methodology, and the types of materials used.
b. Types of 3D Printing Technologies: Reviewing different types of 3D printing technologies and their specific uses.
c. 3D Printing in Manufacturing and Design Processes: Discussing how 3D Printing is revolutionizing manufacturing and design processes.
d. Case Studies of 3D Printing: Analyzing practical examples of 3D printing applications in various industries.
e. Future Potential of 3D Printing in Business: Discussing the future potential and direction of 3D printing technology in the business landscape.

14. Virtual and Augmented Reality in Business
a. Understanding VR/AR Technologies: Introducing the concepts of Virtual Reality (VR) and Augmented Reality (AR), and the technologies that power them.
b. Differences between VR and AR: Discussing the fundamental differences between VR and AR, and their distinct applications.
c. VR/AR in Business Operations and Customer Experience: Exploring how VR/AR can enhance business operations and customer experiences.
d. Case Studies of VR/AR Applications: Discussing practical examples of how VR/AR technologies are being applied in various industries.
e. Future Potential of VR/AR in Business: Discussing the future trajectory and potential of VR/AR technologies in the business sector.

15. Review and Future Trends in Business Informatics
a. Course Recap: Reviewing the key topics and insights gained throughout the course.
b. Technologies Beyond the Course: Discussing important technologies not covered in the course, such as Blockchain, Quantum Computing, and more.
c. Future Trends in Business Informatics: Discussing potential future trends and technologies in Business Informatics, including data privacy, security, advancements in AI, and Machine Learning.

16. Prompt Engineering in Natural Language Processing (NLP)
a. Basics of Prompt Engineering: A comprehensive introduction to the principles of prompt engineering, its connection with the broader Natural Language Processing (NLP) field, and its significance in training robust language models.
b. Elements of Prompt Engineering: Detailed discussion on the various facets of prompt engineering, including priming, framing, and phrasing. Elucidating the methods to devise effective prompts for inducing desired responses.
c. Prompt Engineering in Business Use Cases: Evaluating practical applications of prompt engineering in various business scenarios, ranging from customer service chatbots to decision-support systems for executives.
d. Case Studies: Presentation of successful implementations of prompt engineering in small-scale and enterprise-level applications, analyzing the components that contributed to their effectiveness.
e. Advancements and Future Prospects: Deliberation on the ongoing research in prompt engineering and the potential future developments in this exciting field.

1. Information and knowledge management in management information systems – introductory issues
2. The emergence and development of management information systems
3. Transaction systems, databases and data warehouses
4. Management information and support systems
5. Advisory systems: decision support systems, expert systems
6. Artificial Intelligence Systems AI, Business Intelligence and Big Data
7. E-business and e-banking systems and characteristics of selected applications
8. The phenomenon of mobility in the development of IT: m-commerce, m-banking
9. Methodologies of designing and implementing modern information technology
10. Usability and efficiency of modern information technology applications
11. Information society and virtual organizations
12. Trends in the development of IT

Obligatory:
• Wrycza, S., & Maślankowski, J. (2019). Informatyka ekonomiczna: teoria i zastosowania. Wydawnictwo Naukowe PWN.
Recommended:
• Subject 1:
- Kroenke, D., & Boyle, R. (2017). Using MIS (10th ed.). Pearson.
- "Business Informatics." Harvard Business School, Online Course Module.
- Galliers, R. D., & Leidner, D. E. (2014). Strategic information management: challenges and strategies in managing information systems. Routledge.
• Subject 2:
- Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
- Grover, S., & Pea, R. (2013). Computational Thinking in K–12 A Review of the State of the Field. Educational Researcher, 42(1), 38-43.
• Subject 3:
- Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms. MIT press.
- Sedgewick, R., & Wayne, K. (2011). Algorithms (4th ed.). Addison-Wesley Professional.
• Subject 4:
- Laudon, K. C., & Laudon, J. P. (2016). Management Information Systems: Managing the Digital Firm. Pearson.
- Davenport, T. H. (2013). Process innovation: reengineering work through information technology. Harvard Business Press.
• Subject 5:
- Tanenbaum, A. S., & Wetherall, D. J. (2011). Computer Networks. Prentice Hall.
- Silberschatz, A., Galvin, P. B., & Gagne, G. (2013). Operating System Concepts. Wiley.
• Subject 6:
- Monk, E., & Wagner, B. (2012). Concepts in Enterprise Resource Planning. Cengage Learning.
- Chen, I. J., & Popovich, K. (2003). Understanding customer relationship management (CRM). Business Process Management Journal.
• Subject 7:
- Lankhorst, M. (2013). Enterprise Architecture at Work: Modelling, Communication and Analysis. Springer.
- Tamm, T., Seddon, P. B., Shanks, G., & Reynolds, P. (2011). How does enterprise architecture add value to organisations? Communications of the Association for Information Systems, 28, 141-168.
• Subject 8:
- Mintzberg, H. (1983). Power in and around organizations. Prentice-Hall.
- Alter, S. (2013). Work system theory: overview of core concepts, extensions, and challenges for the future. Journal of the Association for Information Systems, 14(2), 72-121.
• Subject 9:
- Heeks, R. (2006). Implementing and managing eGovernment: An international text. Sage.
- Norris, D. F., & Reddick, C. G. (2013). Local e-government in the United States: Transformation or incremental change? Public Administration Review, 73(1), 165-175.
• Subject 10:
- Laudon, K. C., & Traver, C. G. (2013). E-commerce. Pearson.
- Chaffey, D. (2015). Digital business and e-commerce management. Pearson.
• Subject 11:
- Russell, S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach. Pearson.
- Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.
• Subject 12: Cloud Computing
- Erl, T., Puttini, R., & Mahmood, Z. (2013). Cloud Computing: Concepts, Technology & Architecture. Prentice Hall.
- Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., ... & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
• Subject 12: Industry 5.0
- Schumacher, A., Erol, S., & Sihn, W. (2019). A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Proceedings, 13(1), 35.
- Lee, J., Bagheri, B., & Kao, H. A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23.
- World Economic Forum. The Future of Jobs: Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution.
• Subject 13: 3D Printing and its Impact on Business
- Lipson, H., & Kurman, M. (2013). Fabricated: The new world of 3D Printing. Wiley.
- Wohlers Associates, Inc. (2021). Wohlers Report 2021: 3D Printing and Additive Manufacturing State of the Industry.
• Subject 14: Virtual and Augmented Reality in Business
- Wen, J. R., Li, X., Laffey, J. M., & Wang, H. (2020). Virtual reality and augmented reality in retailing. Journal of Retailing and Consumer Services, 57, 102219.
- Dhir, A., Pallesen, S., Torsheim, T., & Andreassen, C. S. (2016). Do age and gender differences exist in selfie-related behaviours?. Computers in Human Behavior, 63, 549-555.
- Microsoft. (2021). Microsoft HoloLens: Mixed Reality in Business.
• Subject 15: Internet of Things (IoT)
- Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787-2805.
- Fan, S., Chang, X., Zhao, W., & Wu, D. (2019). The IoT ecosystem: Unlocking the business value of connectedness. Technological Forecasting and Social Change, 145
- Internet of Things (IoT) (continued) 3. Existing Source: Cisco. (2019). The Internet of Things (IoT) in the Digital Economy.
• Subject 16: Review and Future Trends in Business Informatics
- Chen, J. M., & Chen, S. C. (2020). A systematic literature review of business informatics research: Current trends and future directions. International Journal of Information Management, 54, 102142.
- Laudon, K. C., & Laudon, J. P. (2016). Management information systems: Managing the digital firm. Pearson.
- Gartner. (2021). Top Strategic Technology Trends for 2021.
• Subject 17: Prompt Engineering in Natural Language Processing (NLP)
- Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165.
- Petroni, F., Fan, A., Lewis, M., Yacoby, A., and Dauphin, Y. N. (2021). How Context Affects Language Models' Factual Predictions. arXiv preprint arXiv:2104.03012.
- OpenAI. (2021). OpenAI Cookbook: Guide to Prompt Engineering

Basic literature:

• Turban E., Pollard C., Wood G.: Information Technology for Management: Driving Digital Transformation to Increase Local and Global Performance, Growth and Sustainability, 12th Edition, John Wiley &Sons, NY, 2021, ISBN-10 ‏ : ‎ 1119702909; ISBN-13 ‏ : ‎ 978-1119702900,
• Informatyka ekonomiczna cz. II, Informatyzacja obiektu gospodarczego (Economic informatics part II, Computerization of an economic object), eds. J. Korczak, M. Dyczkowski, B. Łukasik-Makowska, Wrocław University of Economics Publishing House, Wrocław 2013.

Supplementary literature:

• Laudon K. C., , J.P. Laudon J. P., Management Information Systems, Prentice-Hall, NY, 2021.
•Mobilne aspekty technologii informacyjnych (Mobile aspects of information technologies), ed. W. Chmielarz, WZ UW Scientific Publishing House, Warsaw, 2016,
•Chmielarz W.: Information Technology Project Management, WZ UW Scientific Publishing House, Warsaw, 2015.
•Gregor B., Kaczorowska-Spychalska D., Technologie cyfrowe w biznesie. Przedsiębiorstw 4.0, a sztuczna inteligencja (Digital technologies in business. Enterprises 4.0, and artificial intelligence), PWN, Warsaw, 2020,
•Determinanty I wyzwania w karierze informatyka ekonomicznego (Determinants and challenges in the career of an economic computer expert), eds. W. Chmielarz, Anna Sołtysik-Piorunkiewicz, WZ UW Scientific Publishing House, Warsaw, 2024.