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Exploiting network science in business process management: A conceptual framework

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  • Iovanella, Antonio

Abstract

This paper investigates whether the introduction of network science tools in Business Process Management (BPM) leads to better identification of the entities themselves and to the structure of their interactions within an organization. The objective is to provide more formal measures and metrics to be considered as a support for suitable decisions during the re-engineering phases. A novel conceptual framework is presented for organizational decision making; one that is able to synthesize the relationships established in the network and provide an overview of the characteristics of the entities. Decision makers can improve the knowledge of the current organizational policies and procedures to be used in process re-engineering. The framework is an innovative initiative of integration of classic BPM and network science methodologies. It allows a systematic assessment of the interplay between the different organizational units and the indirect effects on the performance and it can be used in any kind of organization that implements a Business Process Management System.

Suggested Citation

  • Iovanella, Antonio, 2024. "Exploiting network science in business process management: A conceptual framework," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
  • Handle: RePEc:eee:chsofr:v:178:y:2024:i:c:s0960077923012468
    DOI: 10.1016/j.chaos.2023.114344
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    1. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 2000. "Scale-free characteristics of random networks: the topology of the world-wide web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 69-77.
    2. Jiang, Zhi-Qiang & Wang, Peng & Ma, Jun-Chao & Zhu, Peican & Han, Zhen & Podobnik, Boris & Stanley, H. Eugene & Zhou, Wei-Xing & Alfaro-Bittner, Karin & Boccaletti, Stefano, 2023. "Unraveling the effects of network, direct and indirect reciprocity in online societies," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    3. Brina Buh & Andrej Kovačič & Mojca Indihar Štemberger, 2015. "Critical success factors for different stages of business process management adoption – a case study," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 28(1), pages 243-258, January.
    4. Crucitti, Paolo & Latora, Vito & Marchiori, Massimo & Rapisarda, Andrea, 2004. "Error and attack tolerance of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 340(1), pages 388-394.
    5. Trkman, Peter, 2010. "The critical success factors of business process management," International Journal of Information Management, Elsevier, vol. 30(2), pages 125-134.
    6. Leon, Ramona – Diana & Rodríguez-Rodríguez, Raúl & Gómez-Gasquet, Pedro & Mula, Josefa, 2017. "Social network analysis: A tool for evaluating and predicting future knowledge flows from an insurance organization," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 103-118.
    7. Reijers, H. A. & Liman Mansar, S., 2005. "Best practices in business process redesign: an overview and qualitative evaluation of successful redesign heuristics," Omega, Elsevier, vol. 33(4), pages 283-306, August.
    8. Freeman, C., 1991. "Networks of innovators: A synthesis of research issues," Research Policy, Elsevier, vol. 20(5), pages 499-514, October.
    9. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    10. Li, Jiaqi & Zhang, Chunyan & Sun, Qinglin & Chen, Zengqiang, 2015. "Coevolution between strategy and social networks structure promotes cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 253-263.
    11. Eppinger, Steven D. & Browning, Tyson R., 2012. "Design Structure Matrix Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262017520, December.
    12. Carbone, Anna & Jensen, Meiko & Sato, Aki-Hiro, 2016. "Challenges in data science: a complex systems perspective," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 1-7.
    13. Aloini, Davide & Benevento, Elisabetta & Stefanini, Alessandro & Zerbino, Pierluigi, 2020. "Process fragmentation and port performance: Merging SNA and text mining," International Journal of Information Management, Elsevier, vol. 51(C).
    14. Giovanna Ferraro & Antonio Iovanella, 2018. "Clairvoyant targeted attack on complex networks," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 8(1), pages 41-62.
    15. Crucitti, Paolo & Latora, Vito & Marchiori, Massimo & Rapisarda, Andrea, 2003. "Efficiency of scale-free networks: error and attack tolerance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 320(C), pages 622-642.
    16. Ritter, Thomas & Gemunden, Hans Georg, 2003. "Network competence: Its impact on innovation success and its antecedents," Journal of Business Research, Elsevier, vol. 56(9), pages 745-755, September.
    Full references (including those not matched with items on IDEAS)

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