Course: Information Technology in Decision Making

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Course title Information Technology in Decision Making
Course code KMI/DITD
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Beránek Ladislav, prof. Ing. CSc., MBA
Course content
Course contents: - Modern technologies to support decision making Operation and management of technologies. IT Governance. - Company information strategy Connectivity with the overall strategy. Systems integration. - Information systems architectures Criteria for determining the most appropriate solution. Conditions for their feasibility. - ICT services Service life cycle. Service architecture. SLA. ICT service management methodologies. - IS / ICT financial management IS / IC performance, cost and benefit metrics. - Multimedia systems Their implementation and operation. Information systems on the Internet platform and their integration into business systems. - Deployment of artificial intelligence Distributed solutions and their structure. Processing of large volumes of data. Industry 4.0. - Security and data protection Possibilities of application of cryptotechnologies in the corporate environment (blockchain. Smart contracts).

Learning activities and teaching methods
Written action (comprehensive tests, clauses), Individual tutoring
  • Semestral paper - 132 hours per semester
  • Preparation for exam - 20 hours per semester
  • Preparation for classes - 10 hours per semester
  • Class attendance - 8 hours per semester
  • Preparation for credit - 10 hours per semester
Learning outcomes
The aim of the course is to acquaint doctoral students with the latest trends, practical experience and theoretical knowledge in the field of strategy, building and integration of various information systems for business decision support. General trends in the field of information systems concern technologies (especially artificial intelligence and automation, cloud applications (i.e., edge computing), processing of large volumes of data, deployment of robots, security and other areas), as well as business processes in areas such as WMS, CRM, B2B or B2C but also the ways in which these technologies are used by people, including, for example, trends in employee development and more. The course emphasizes the understanding of the role of business informatics, the need for its strategic management, especially in connection with various technological innovations and trends, including considering, for example, what combination of technologies will support the chosen strategy and innovation in the company.
Students will be able to master not only theoretical approaches to the issue of digital business strategy to support business processes, including decision-making, but will also gain an overview of architectures, trends and capabilities of information systems. They will be able to design a strategy in the field of information systems, consider investments in these systems but also perceive the effects of the deployment of various information technologies on the company, customers and employees, their advantages and disadvantages.
Prerequisites
Prerequisites for passing the course are basic knowledge of business information systems in the scope of the course Business Information Systems taught in the master's degree program at the Faculty of Economics.

Assessment methods and criteria
Oral examination, Seminar work

Credit requirements: Elaboration of a seminar project, where the selected area of information technologies for decision support will be developed, in connection with the topic of the dissertation. The output is a literature review, which is supplemented by own work, which presents the results of research (own research) in selected issues. The seminar project meets the requirements for scientific work. The text is up to 20 pages long. Exam requirements: Studying and mastering thematic areas. Defending a seminar project. During the exam, the student will present the submitted seminar project, which will be discussed. This will be followed by a test of knowledge from selected topics of the subject.
Recommended literature
  • Haes, S. de, Van Grembergen, W., Joshi, A., & Huygh, T. Enterprise Governance of Information Technology: Achieving Alignment and Value in Digital Organizations. Berlin: Springer, 2020.
  • Laudon, K. C., & Laudon, J. P. Management information systems: Managing the digital firm, 16. vyd.. New York: Pearson, 2020.
  • Laudon, K. C., & Traver, C. G. E-commerce 2019: Business. technology. society, 15. vyd.. Hoboken: Pearson, 2019.
  • Sharda, R. Analytics, data science, & artificial intelligence , 11. vyd.. Hoboken, NJ: Pearson, 2020.
  • Sousa, K. J., Oz, E., & Oz, E. Management information systems , 7. vyd.. Stamford: Cengage Learning, 2015.
  • Stair, R. M., & Reynolds, G. W. Principles of information systems, 13. vyd.. Boston: Cengage Learning, 2018.
  • Tiwana, A. IT strategy for non-IT managers: Becoming an engaged contributor to corporate IT decisions. Cambridge: MIT Press, 2017.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester