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A State-of-the-Art Literature Review of the Business Model Concept in the IS Discipline

Author

Listed:
  • Giulia Pozzi
  • Federico Pigni

    (CETIC asbl - Centre d’Excellence en Technologies de l’Information et de la Communication)

  • Claudio Vitari

    (MTS - Management Technologique et Strategique - EESC-GEM Grenoble Ecole de Management)

  • Giacomo Buonanno
  • Elisabetta Raguseo

    (Polito - Politecnico di Torino = Polytechnic of Turin)

Abstract

Business model (BM) research in the Information Systems (IS) field emphasizes a lack of consensus in the BM definition, still considered vague and fuzzy after more than a decade of research. With this paper we offer a semantic analysis of BM definitions adopted in the IS domain for the selected period of time 2009-2014. Using a structured methodology, we review the titles and abstracts of 108 articles from IS literature, examine a significant subset of 50 articles and code 22 BM definitions. Our work makes three main contributions. First, presenting a BM definition schema, it is helpful in assuaging the fuzziness associated with the business model definition. Second, it presents a methodized technique for a semantic complete and repeatable analysis. Finally, it discusses the current limitations of the BM definition and offers the basis for future research.

Suggested Citation

  • Giulia Pozzi & Federico Pigni & Claudio Vitari & Giacomo Buonanno & Elisabetta Raguseo, 2014. "A State-of-the-Art Literature Review of the Business Model Concept in the IS Discipline," Grenoble Ecole de Management (Post-Print) halshs-01924218, HAL.
    • Handle: RePEc:hal:gemptp:halshs-01924218
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-01924218
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    References listed on IDEAS

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    1. Hock Chuan Chan & Hee‐Woong Kim & Weai Chee Tan, 2006. "Information systems citation patterns from International Conference on Information Systems articles," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1263-1274, July.
    2. Arun Rai & Xinlin Tang, 2014. "Research Commentary ---Information Technology-Enabled Business Models: A Conceptual Framework and a Coevolution Perspective for Future Research," Information Systems Research, INFORMS, vol. 25(1), pages 1-14, March.
    3. Marius F. Niculescu & D. J. Wu, 2014. "Economics of Free Under Perpetual Licensing: Implications for the Software Industry," Information Systems Research, INFORMS, vol. 25(1), pages 173-199, March.
    4. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    5. Øiestad, Sara & Bugge, Markus M., 2014. "Digitisation of publishing: Exploration based on existing business models," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 54-65.
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