IDEAS home Printed from https://ideas.repec.org/a/abw/journl/y2026id1285.html

Efficiency of Digital Interactions in a Manufacturing Organization: Transactional Tomography

Author

Listed:
  • E. V. Popov

  • V. L. Simonova

  • M. A. Pekin

Abstract

The article develops a methodological approach to assessing the efficiency of digital interactions within a manufacturing organization amid digital transformation, platformization, and the emergence of ecosystem-based forms of coordination. The relevance of the study stems from the inability of traditional performance indicators to adequately capture organizational performance in a digitally networked environment, where the speed, connectivity, transparency, cost, and completion of digital interactions between internal units and external actors become increasingly important. The study aims to develop a composite indicator and a system of component indicators for assessing the efficiency of digital interactions within a manufacturing organization based on transactional tomography. The methodological framework is based on functional analysis, which allows digital interactions to be viewed as a set of transactions performing coordination, information-sharing, control, alignment, and adaptation functions. The article proposes a conceptual framework for transactional tomography as a method for analyzing digital interactions across multiple layers and dimensions: actor, functional, process, temporal, cost, structural, performance, and ecosystem. A system of component indicators is developed and organized into six groups: time efficiency, cost efficiency, structural efficiency, functional coverage, transaction performance, and ecosystem synchronization. On this basis, the study proposes a composite digital interaction efficiency index and a tomographic efficiency coefficient. These measures enable a comprehensive assessment of the digital architecture of a manufacturing organization and help identify bottlenecks, redundant approval paths, overloaded nodes, and areas of weak interorganizational alignment. The novelty of the study lies in conceptualizing digital interactions as a multidimensional transactional structure that can be quantitatively assessed using tomographic analysis. The practical significance of the proposed framework lies in its applicability to digital interaction audits, digital transformation monitoring, business process reengineering, supply chain management, and the improvement of management control systems in manufacturing organizations.

Suggested Citation

  • E. V. Popov & V. L. Simonova & M. A. Pekin, 2026. "Efficiency of Digital Interactions in a Manufacturing Organization: Transactional Tomography," Strategic decisions and risk management, Real Economy Publishing House, vol. 17(2).
  • Handle: RePEc:abw:journl:y:2026:id:1285
    DOI: 10.17747/2618-947X-2026-2-133-144
    as

    Download full text from publisher

    File URL: https://www.jsdrm.ru/jour/article/viewFile/1285/1230
    Download Restriction: no

    File URL: https://libkey.io/10.17747/2618-947X-2026-2-133-144?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jonathan Wareham & Paul B. Fox & Josep Lluís Cano Giner, 2014. "Technology Ecosystem Governance," Organization Science, INFORMS, vol. 25(4), pages 1195-1215, August.
    2. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    3. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    4. Andreas Hein & Maximilian Schreieck & Tobias Riasanow & David Soto Setzke & Manuel Wiesche & Markus Böhm & Helmut Krcmar, 2020. "Digital platform ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 87-98, March.
    5. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    6. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    7. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    8. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    9. Youngjin Yoo & Ola Henfridsson & Kalle Lyytinen, 2010. "Research Commentary ---The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research," Information Systems Research, INFORMS, vol. 21(4), pages 724-735, December.
    10. Rahul Kapoor, 2018. "Ecosystems: broadening the locus of value creation," Journal of Organization Design, Springer;Organizational Design Community, vol. 7(1), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Plekhanov, Dmitry & Franke, Henrik & Netland, Torbjørn H., 2023. "Digital transformation: A review and research agenda," European Management Journal, Elsevier, vol. 41(6), pages 821-844.
    2. Kindermann, Bastian & Beutel, Sebastian & Garcia de Lomana, Gonzalo & Strese, Steffen & Bendig, David & Brettel, Malte, 2021. "Digital orientation: Conceptualization and operationalization of a new strategic orientation," European Management Journal, Elsevier, vol. 39(5), pages 645-657.
    3. Cong Cheng & Hongfang Cui, 2024. "Combining digital and legacy technologies: firm digital transformation strategies—evidence from Chinese manufacturing companies," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    4. Satish Nambisan & Yadong Luo, 2021. "Toward a loose coupling view of digital globalization," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(8), pages 1646-1663, October.
    5. Belitski, Maksim & Korosteleva, Julia & Piscitello, Lucia, 2023. "Digital affordances and entrepreneurial dynamics: New evidence from European regions," Technovation, Elsevier, vol. 119(C).
    6. Changwei Pang & Qiong Wang, 2024. "How Digital Transformation Promotes Disruptive Innovation? Evidence from Chinese Entrepreneurial Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7788-7818, June.
    7. Tobias Pauli & Emanuel Marx & Erwin Fielt & Christian Marheine & Martin Matzner, 2025. "Inhibitors and Enablers of Leverage in Digital Industrial Platform Ecosystems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 67(5), pages 711-731, October.
    8. Santos, Susana C. & Liguori, Eric W. & Garvey, Erin, 2023. "How digitalization reinvented entrepreneurial resilience during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    9. Cuesta-Valiño, Pedro & Gutiérrez-Rodríguez, Pablo & Núnez-Barriopedro, Estela & García-Henche, Blanca, 2023. "Strategic orientation towards digitization to improve supermarket loyalty in an omnichannel context," Journal of Business Research, Elsevier, vol. 156(C).
    10. Shi, Xianwei & Liang, Xingkun & Luo, Yining, 2023. "Unpacking the intellectual structure of ecosystem research in innovation studies," Research Policy, Elsevier, vol. 52(6).
    11. Reiter, Andreas & Stonig, Joachim & Frankenberger, Karolin, 2024. "Managing multi-tiered innovation ecosystems," Research Policy, Elsevier, vol. 53(1).
    12. Andreas Hein & Maximilian Schreieck & Tobias Riasanow & David Soto Setzke & Manuel Wiesche & Markus Böhm & Helmut Krcmar, 2020. "Digital platform ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 87-98, March.
    13. Van Dyck, Marc & Lüttgens, Dirk & Diener, Kathleen & Piller, Frank & Pollok, Patrick, 2024. "From product to platform: How incumbents' assumptions and choices shape their platform strategy," Research Policy, Elsevier, vol. 53(1).
    14. Aagaard, Annabeth & Vanhaverbeke, Wim & Gassmann, Oliver, 2026. "Dancing titans: Dual orchestration and governance in industrial digital platforms for B2B value co-creation," Technovation, Elsevier, vol. 151(C).
    15. Kratochvil, Renate, 2025. "Stepping in and stepping aside: Employees navigating digital transformation paradoxes," Journal of Business Research, Elsevier, vol. 191(C).
    16. Bejjani, Melissa & Göcke, Lutz & Menter, Matthias, 2023. "Digital entrepreneurial ecosystems: A systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    17. Jeehan A. R. Awad & Rodrigo Martín-Rojas, 2024. "Digital transformation influence on organisational resilience through organisational learning and innovation," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-24, December.
    18. Liu, Bingbing, 2025. "How does digital transformation enhance enterprise technological innovation? Evidence from Chinese manufacturing listed companies," Technology in Society, Elsevier, vol. 82(C).
    19. Chen, Gaocai & Liu, Peng & Jiang, Aiying, 2024. "Does digital transformation in enterprises reduce debt default risk?," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    20. Wang, Yu & Huang, Cui & Ye, Xuanting & Zhang, Jian, 2025. "Linkage and coordination: Industrial digital transformation from the perspective of innovation ecosystem," Technovation, Elsevier, vol. 144(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abw:journl:y:2026:id:1285. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ООО Ð˜Ð·Ð´Ð°Ñ‚ÐµÐ»ÑŒÑ ÐºÐ¸Ð¹ дом Â«Ð ÐµÐ°Ð»ÑŒÐ½Ð°Ñ Ñ ÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ°Â» (email available below). General contact details of provider: https://www.jsdrm.ru/jour/about/journalSponsorship .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.