Business & Information Systems Engineering

, Volume 58, Issue 4, pp 291–319 | Cite as

Theories in Business and Information Systems Engineering

  • Martin BichlerEmail author
  • Ulrich Frank
  • David Avison
  • Julien Malaurent
  • Peter Fettke
  • Dirk Hovorka
  • Jan Krämer
  • Daniel Schnurr
  • Benjamin Müller
  • Leena Suhl
  • Bernhard Thalheim

Theories in Business and Information Systems Engineering


Even though the idea of science enjoys an impressive reputation, there seems to be no precise conception of science. On the one hand, there is no unified definition of the extension of activities subsumed under the notion of science. According to the narrow conception that is common in Anglo-Saxon countries, science is restricted to those disciplines that investigate nature and aim at explanation and prediction of natural phenomena. A wider conception that can be found in various European countries includes social sciences, the humanities and engineering. On the other hand and related to the first aspect, there is still no general consensus on the specific characteristics of scientific discoveries and scientific knowledge.

Theory and Science

The demarcation problem in the philosophy of science is how to distinguish between science and non-science. Some argue that the demarcation between science and non-science is a...


Information System Technology Acceptance Model Robust Theory Business Informatics Enterprise Architecture Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Fachmedien Wiesbaden 2016

Authors and Affiliations

  • Martin Bichler
    • 1
    Email author
  • Ulrich Frank
    • 2
  • David Avison
    • 3
  • Julien Malaurent
    • 3
  • Peter Fettke
    • 4
  • Dirk Hovorka
    • 5
  • Jan Krämer
    • 6
  • Daniel Schnurr
    • 6
  • Benjamin Müller
    • 7
  • Leena Suhl
    • 8
  • Bernhard Thalheim
    • 9
  1. 1.Department of InformaticsTechnical University of MunichGarching/MunichGermany
  2. 2.Chair of Information Systems and Enterprise ModellingInstitute for Computer Science and Business Information Systems, University of Duisburg-EssenEssenGermany
  3. 3.Department of Information SystemsDecision Sciences and Statistics, ESSEC Business SchoolCergy Pontoise CedexFrance
  4. 4.German Research Center for Artificial Intelligence (DFKI GmbH) and Saarland UniversitySaarbrückenGermany
  5. 5.Business Information SystemsThe University of Sydney Business School, The University of SydneySydneyAustralia
  6. 6.Chair of Internet and Telecommunications Business, Faculty of Business Administration and EconomicsUniversity of PassauPassauGermany
  7. 7.Innovation Management and Strategy, Faculty of Economics and BusinessUniversity of GroningenGroningenThe Netherlands
  8. 8.Decision Support and Operations Research Lab, Department Business Information SystemsUniversität PaderbornPaderbornGermany
  9. 9.Information Systems Engineering (ISE), Institut für Informatik, Christian-Albrechts-Universität zu KielKielGermany

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