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On the Interplay Between Business Process Management and Internet-of-Things

Author

Listed:
  • Francesca De Luzi

    (Sapienza Università di Roma)

  • Francesco Leotta

    (Sapienza Università di Roma)

  • Andrea Marrella

    (Sapienza Università di Roma)

  • Massimo Mecella

    (Sapienza Università di Roma)

Abstract

In the last years, the increasing scientific and industrial interest in Business Process Management (BPM) approaches and methods on the one side, and Internet-of-Things (IoT) technologies and tools on the other. Are these fields complementary? What are their respective interplays and the research challenges to their realizations? The article presents a Systematic Literature Review (SLR) to gain in-depth insights into the maturity of existing approaches to IoT-aware BPM. The analysis of the retrieved studies, framed along the research questions addressed in the SLR, enables us to systematically evaluate the literature on IoT-aware BPM concerning the phases of the process life cycle covered by the different approaches, the specific topics addressed, the application domains involved, and the possibility to tackle the research challenges. Future research directions are also highlighted.

Suggested Citation

  • Francesca De Luzi & Francesco Leotta & Andrea Marrella & Massimo Mecella, 2025. "On the Interplay Between Business Process Management and Internet-of-Things," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 67(2), pages 265-288, April.
    • Handle: RePEc:spr:binfse:v:67:y:2025:i:2:d:10.1007_s12599-024-00859-6
    DOI: 10.1007/s12599-024-00859-6
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    References listed on IDEAS

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    1. Pedro Valderas & Victoria Torres & Estefanía Serral, 2023. "Towards an Interdisciplinary Development of IoT-Enhanced Business Processes," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(1), pages 25-48, February.
    2. Ronny Seiger & Marco Franceschetti & Barbara Weber, 2023. "An Interactive Method for Detection of Process Activity Executions from IoT Data," Future Internet, MDPI, vol. 15(2), pages 1-31, February.
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