Theory of Information Systems – Selected Topics

Theory of Information Systems – Selected Topics

  • Study programme and level:The joint doctoral study programme Governance and Economics in the Public Sector (third cycle)
  • 2nd year
  • 5 ECTS
  • Course type: Elective course
  • Lectures: 20
  • Seminar: 20
  • Other forms of study: 20
  • Individual work: 90
  • Lecturer: Ljupčo Todorovski, PhD

1. Objectives and competences

Goals – student:

  • analyses theoretical and applicative results in the area of information systems, e-government and open government,
  • evaluates and compares theoretical and applicative results in the area of information systems and e-government,
  • combines different information systems approaches in innovative solutions of practical problems in the domains of governance and e-government,
  • selects, presents, and defends the best IS-based solution for a given practical problem in the domains of governance and e-government.


  • acquiring and understanding of a comprehensive corpus of knowledge of information systems and e-government,
  • ability to critically evaluate the wider importance and impact of using information systems in governance,
  • ability to conduct independent research in the domains of informatics and open data in public administration,
  • presentation and public defense of the results of scientific research,
  • ability to research and transfer of research results to practice.

2. Content (Syllabus outline)

  • Information systems, e-government and open government
  • Systems theory and information systems
  • Management of open data, information and knowledge in public administration
  • Modeling open data and open databases in government and public administration
  • Modeling business and governance processes
  • Development of information systems for governance
  • Transaction and management information systems
  • Management and decision-making
  • Information systems and computational methods for decision-making
  • Business intelligent systems, methods for mining structured and textual open data
  • Information systems for knowledge management

3.  Readings

  • Benbya, H., Mc Kelvey, B. (2006) Toward a complexity theory of information systems development. Information Technology & People, 19(1): 12–34.
  • Benoît, G. (2001) Critical theory as a foundation for pragmatic information systems design. Information Research, 6(2) Available at:
  • Bohanec, M. (2006). Odločanje in modeli. Društvo matematikov fizikov in astronomov, Ljubljana. Izbrana poglavja do 50 strani.
  • Davenport, T.H., Beers, M.C. (1995). Managing Information About Processes.Journal of Management Information Systems, 12(1), pp. 57–80.
  • Davis, J., Subrahmanian, E., Westerberg, A. (2006) Knowledge Management. Organizational and Technological Dimensions. Physica-Verlag, Heidelberg. Izbrana poglavja do 50 strani.
  • Galliers, R.D., Baets, W.R.J. (1998) Information Technology and Organizational Transformation: Solving the management puzzle. Butterworth-Heinemann, Oxford. Izbrana poglavja do 50 strani.
  • Heeks, R. (2006) Implementing and Managing eGovernment. An International Text. Sage Publications Ltd. Izbrana poglavja do 50 strani.
  • Henderson, P. (2000) Systems Engineering for Business Process Change. Collected Papers from the EPSRC Programme. Springer, Berlin. Izbrana poglavja do 50 strani.
  • Kroenke, D., Auer, D. (2008) Database Concepts. Pearson Education, Upper Saddle River. Izbrana poglavja do 50 strani.
  • Lacity, M., Willcocks, L. (2008) Information Systems and Outsourcing: studies in theory and practice. Izbrana poglavja do 50 strani.
  • Lerner, V.S. (2004). Introduction to information systems theory: concepts, formalism and applications. International Journal of Systems Science35(7): 405–424.
  • Shelly, G.B., Cashman, T.& Rosenblatt, H.J. (2008)Systems Analysis and Design. Seventh Edition. Course Technology, Boston. Izbrana poglavja do 50 strani.
  • Turban, E., Aronson,  J. E., Liang,  T.P., Sharda, R. (2006)Decision Support and Business Intelligence Systems. Osma izdaja. Prentice Hall, Upper Saddle River. Izbrana poglavja do 50 strani.
  • Veit, D., Huntgeburth, J. (2014) Foundations of Digital Government: Leading and Managing in the Digital Era. Springer, Berlin. Izbrana poglavja do 100 str.
  • Witten, I. H., Frank, E. (2005)Data Mining: Practical Machine Learning Tools and Techniques. Druga izdaja. Morgan Kaufmann, San Francisco. Izbrana poglavja do 50 strani.

4. Intended learning outcomes

Student will be able to critically analyze, asses, evaluate, and synthesize new complex solutions based on information systems and e-government, able to perform independent research in the area of informatics and transfer, research results to the domains of governance and e-government, able to promote technological progress in the governance domain.

5. Learning and teaching methods

  • Lectures – the work with students takes a form of deep and critical analysis of the number of research articles on theoretical results and methods, as well as examples of applications of theory and approaches to practical problems in business and governance systems. For each lecture, course leader will identify an obligatory reading list for all students containing articles and papers that are subject of study. In the lecture room, students present, discuss, and critically evaluate the concepts and ideas of the selected articles.
  • Tutorial – presentation of students’ essays consisting of one or more solutions of practical governance problems using the theoretical approaches presented at the lectures.
  • Individual work with students – adapted to the topic of the individual student’s essay.

6. Assessment

Students active participation in the discussions during the lectures - 10%
Presentations of articles - 20%
Essay - 40%
Essay presentation - 10%
Oral exam - 20%