Industrial data: from a traditional asset to a key resource

Digital economy: theory and practice
Authors:
Abstract:

The relevance of the study is due to the growing interest of researchers and practitioners in the issue of attributing data to an asset, resource, and production factor. This trend is determined, on the one hand, by the increasing role of data for economic activity in general, and, on the other, by the gradual institutionalization of the term «data economy». It should be noted that with significant variability of interpretations (as a new stage of economic development, as part of the digital transformation, as a management system), most researchers note a characteristic property: data is considered as a key asset and resource of the economy. Of particular interest is the use of data in industry in view of its large-scale digitalization and its system-forming role for the country’s economy, while the resource base is the basis for the functioning of enterprises. The purpose of the study is to determine how data as a resource is used in the company’s activities and what are the features of such a process, as well as to understand how industry representatives approach data in their activities in practice, to what extent data is a key resource, and what factors influence such correlation. The research methods include analysis and synthesis, systematic and comparative approaches, questioning the management level of industrial enterprises in the Rostov region, statistical (processing the results obtained) and econometric (building a binary logit model based on the questionnaire data) methods. The results of the study demonstrate that data in modern conditions is actually used in industrial enterprises as a resource, indirectly participating in the process of creating a product or service, enhancing the efficiency of using other resources. The specifics of industrial data as a resource, the effect of their use for the enterprise are revealed, the need for the formation of operational and strategic contours for the use of data as a resource in the activities of enterprises is determined. It is emphasized that the heads of industrial enterprises who participated in the survey are more likely to attribute data to a key resource if the degree of readiness of their enterprises to invest in data is high, as well as with the systematic use of data for managerial decision-making. The scientific novelty of the current study lies in the approach to data as a resource base for industry, with an emphasis on the direct involvement of data in the creation of products and services, as well as in the empirical assessment of industry representatives' opinions on evaluating data as a key resource of an industrial enterprise. The practical significance of the study is determined by the possibility of applying the conclusions obtained by the management of enterprises to revise approaches to data as an economic asset, to move from fragmentary data collection to their integrated use in production through the business processes of the enterprise and the formation of a strategy for their application in order to optimize production activities. The key conclusion of the study is that data is used as a resource in the activities of industrial enterprises, but their potential has not been fully exploited due to a lack of understanding in practice of the usefulness of data for production, the lack of a methodological basis for evaluating them and accounting for their contribution to the cost of enterprises, which is also reflected in the theoretical plan — the lack of an approach to data as a resource base for industry. In this regard, the areas of further research should cover the development of methodological aspects of data inclusion in the industrial resource base, the formation of a resource approach to data, the determination of the value and value of data, the development of data management systems in the enterprise, as well as the tightening of institutional mechanisms for regulating property rights and the creation of data markets.

  • References

     1. Auzan A.A. (2019) Digital Economy as an Economy: Institutional Trends. Moscow University Economic Bulletin, (6), 12–19. DOI: 10.38050/01300105201963

    2. Huang L., Dou Y., Liu Y., Wang J., Chen G., Zhang X., Wang R. (2021) Toward a research framework to conceptualize data as a factor of production: The data marketplace perspective. Fundamental Research, 1 (5), 586–594. DOI: 10.1016/j.fmre.2021.08.006

    3. Lin M., Chen W., Zhang W. (2024) The Era of Data as a Critical Production Factor. In: Big Data Finance in China, 1–20. DOI: 10.1007/978-981-97-7981-9_1

    4. Kirichenko A.O., Zolkin A.L., Urusova A.B., Malova N.N. (2024) Research on the impact of big data on decisionmaking in the corporate sector. Journal of Applied Research, 2, 50–57. DOI: 10.47576/ 2949-1878.2024.2.2.007

    5. Li C., Chen Y., Shang S. (2022) A review of industrial big data for decision making in intelligent manufacturing. Engineering Science and Technology, an International Journal, 29, art. no. 101021. DOI: 10.1016/j.jestch.2021.06.001

    6. Hannila H., Silvola R., Harkonen J., Haapasalo H. (2022) Data-driven Begins with DATA; Potential of Data Assets. Journal of Computer Information Systems, 62 (1), 29–38. DOI: 10.1080/0887-4417.2019.1683782

    7. Lyaskovskaya E.A. (2021) Capital Transformation in the Modern Economy: Digital Data Capital. Bulletin of the South Ural State University. Ser. Economics and Management, 15 (3), 196–200. DOI: 10.14529/em210321

    8. Buzmakova M.V., Polushkina I.N. (2025) The impact of big data on economic activity and the problems of its valuation. Bulletin of the Altai Academy of Economics and Law, 3–2, 204–211. DOI: 10. 17513/vaael.4046

    9. Khristova S.M. (2025) Data as a commodity: an analysis of the contradictions of a theoretical and pragmatic approach. Bulletin of Moscow Witte University. Series 1: Economics and Management, 1 (52), 77–86. DOI: 10.21777/2587-554X-2025-1-77-86

    10. Magomedova O.S., Koval A.A., Levashenko A.D. (2020) Trade in data: different approaches, one reality. RUDN Journal of Law, 24 (4), 1005–1023. DOI: 10.22363/2313-2337-2020-24-4-1005-1023

    11. Karashсhuk O.S., Mayorova E.A., Prokhorov Yu.N. (2018) Big data and prospects of their use in entrepreneurial activity. Bulletin NGIEI, 8 (87), 77–87.

    12. Alekseev K. (2019) The role of a big data in the digital economy. Digital Economy, 3 (7), 93–95. DOI: 10.34706/DE-2019-03-12

    13. Liu F. (2024) Data Assets and Enterprise Total Factor Productivity. Pacific International Journal, 7 (6), 285–296. DOI: 10.55014/pij.v7i6.719

    14. Queiroz M., Tallon P., Coltman T. (2024) Data Value and the Search for a Single Source of Truth: What is it and Why Does it Matter? Proceedings of the 57th Hawaii International Conference on System Sciences, 6636–6645. DOI: 10.24251/HICSS.2024.795

    15. Möller F., Jussen I., Springer V., Gieß A., Schweihoff J.C., Gelhaar J., Guggenberger T., Otto B. (2024) Industrial data ecosystems and data spaces. Electronic Markets, 34 (1), art. no. 41. DOI: 10.1007/ s12525-024-00724-0

    16. Freitas N., Rocha A.D., Barata J. (2026) Data management in industry: concepts, systematic review and future directions. Journal of Intelligent Manufacturing, 37, 799–827. DOI: 10.1007/s10845-025- 02570-z

    17. Babkin A.V., Mikhailov P.A., Shkarupeta E.V., Gaev K.B. (2024) Methodology for assessing the digital maturity of an industrial enterprise and ecosystem based on dynamic coevolutionary potential. π-Economy, 17 (4), 153–178. DOI: 10.18721/JE.17410

    18. Polenghi A., Roda I., Macchi M., Pozzetti A. (2022) Information as a key dimension to develop industrial asset management in manufacturing. Journal of Quality in Maintenance Engineering, 28 (3), 567–583. DOI: 10.1108/JQME-09-2020-0095

    19. Su J., Yao S., Liu H. (2022) Data Governance Facilitate Digital Transformation of Oil and Gas Industry. Frontiers in Earth Science, 10, art. no. 861091. DOI: 10.3389/feart.2022.861091

    20. Azkan C., Möller F., Iggena L., Otto B. (2022) Design Principles for Industrial Data-Driven Services. IEEE Transactions on Engineering Management, 71, 2379–2402. DOI: 10.1109/TEM.2022.3167737

    21. Purtova N., van Maanen G. (2024) Data as an economic good, data as a commons, and data go- vernance. Law, Innovation and Technology, 16 (1), 1–42. DOI: 10.1080/17579961.2023.2265270

    22. Sarker S., Arefin M.S., Kowsher M., Bhuiyan T., Dhar P.K., Kwon O.J. (2022) A Comprehensive Review on Big Data for Industries: Challenges and Opportunities. IEEE Access, 11, 744–769. DOI: 10.1109/ACCESS.2022.3232526

    23. Li Z., Liu C., Li W., Chen J., Kang Y. (2024) The Impact of Digital Economy Industry Development on Manufacturing Innovation Path Driven by Big Data. IEEE Transactions on Engineering Mana- gement, 71, 5523–5535. DOI: 10.1109/TEM.2024.3362065

    24. Liu S., Tang S., Li Y. (2025) How Do Data Elements Affect High-Tech Enterprises’ Competiti- veness? Evidence from China. Emerging Markets Finance and Trade, 62 (8), 2713–2732. DOI: 10.1080/ 1540496X.2025.2573440

    25. Kosolapova N.A., Khristova S.M. (2026) Multilevel data economics analysis. Drukerovskij vestnik, 2 (70), 91–111. DOI: 10.17213/2312-6469-2026-2-91-111

    26. Khristova S.M. (2025) Oborot promyshlennykh dannykh: formirovanie reguliatornykh mekhanizmov upravleniia [Industrial Data Circulation: Formation of Regulatory Management Mechanisms]. Obshchestvennye nauki: issledovaniia i praktiki. “Strategii razvitiia obshchestva i ekonomiki v novoi real'nosti” [Social Sciences: Research and Practice. “Strategies for the Development of Society and the Economy in the New Reality”], 313–318.

    27. Maamar Z., Benna A., Chikhaoui B. (2025) Data-as-an-Asset: Challenges and Futures Directions. IT Professional, 27 (4), 76–81. DOI: 10.1109/MITP.2025.3561079

    28. Bystrickiy D.V., Ermakov S.G., Batalov D.I. (2024) Transformation of Data Management in Russian Railways. Intellectual Technologies on Transport, 4, 31–42. DOI: 10.20295/2413-2527-2024- 440-31-42

    29. Xu D., Indulska M., Someh I.A., Shanks G. (2024) Time to reassess data value: the many faces of data in organizations. The Journal of Strategic Information Systems, 33 (4), art. no. 101863. DOI: 10.1016/j.jsis.2024.101863

    30. Maheshwari J. (2025) Data Governance, Master Data Management, and Modern Solutions for Enterprise Data Trust. Journal of Computer Science and Technology Studies, 7 (8), 786–792. DOI: 10.32996/jcsts.2025.7.8.92

    31. Ismagilova O.D., Khadzhi K.R. (2020) Global Experience in Regulating Data Protection, Transfer and Storage. Economic Policy, 15 (3), 152–175. DOI: 10.18288/1994-5124-2020-3-152-175

    32. Krakovskaya I.N., Korokoshko J.V., Slushkina Yu.Yu. (2024) Digital maturity of industrial enterprises: Evaluation experience. St. Petersburg University Journal of Economic Studies, 40 (3), 433–459. DOI: 10.21638/spbu05.2024.305

     

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Next article