Keywords
sustainable development
Industry 4.0
сorporate governance
How to Cite
Abstract
The paper analyses the dynamics of scientific research in, and practical application of key Industry 4.0 technologies in corporate governance, namely big data, artificial intelligence, machine learning, and blockchain. The contribution of specific authors, citation, and collaboration networks are assessed, along with that of individual countries and research organisations. A bibliometric network analysis of publications indexed in the Scopus and OpenAlex databases for 2011–2022 revealed a steady increase in the number of publications on the topic under consideration, and therefore a growing interest in it. The use of the abovementioned technologies in corporate governance is expected to lead to increased performance and transparency, and improved cybersecurity. The authors provide recommendations for various groups of users to maximise the potential of Industry 4.0 technologies for businesses, and the overall economy.
References
Adhariani D., De Villiers C. (2019) Integrated Reporting: Perspectives of Corporate Report Preparers and Other Stakeholders. Sustainability Accounting, Management and Policy Journal, 10(1), 126-156. DOI: https://doi.org/10.1108/SAMPJ-02-2018-0043
Agarwal V., Fos V., Jiang W. (2013) Inferring Reporting-Related Biases in Hedge Fund Databases from Hedge Fund Equity Holdings. Management Science, 59(6), 1271-1289. https://www.jstor.org/stable/23443847.
Anascavage R., Davis N. (2018) Blockchain Technology: A Literature Review (SSRN Paper 3173406). DOI: https://doi.org/10.2139/ssrn.3173406
Benlian A., Kettinger W.J., Sunyaev A., Winkler T.J. (2018) Introduction to Special Section: The Transformative Value of Cloud Computing - A Decoupling, Platformization, and Recombination Theoretical Framework. Journal of Management Information Systems, 35(3), 719-739. DOI: https://doi.org/10.1080/07421222.2018.1481634
Brown L.D., Call A.C., Clement M.B., Sharp N.Y. (2016) The activities of buy-side analystsand the determinants of their stock recommendations. Journal of Accounting and Economics,62(1), 139-156. DOI: https://doi.org/10.1016/j.jacceco.2016.06.002
Börner K., Chen C., Boyack K.W. (2003) Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179-255. DOI: https://doi.org/10.1002/aris.1440370106
Chichorro E., Pereira L., Dias A., Lopes da Costa R., Gonçalves R. (2022) Research Landscape and Trends in Corporate Foresight. Foresight and STI Governance, 16(3), 49-66. DOI: https://doi.org/10.17323/2500-2597.2022.3.49.66
Cobo M.J., López-Herrera A.G., Herrera-Viedma E., Herrera F. (2011) Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402. DOI: https://doi.org/10.1002/asi.21525
Cong Y., Du H., Vasarhelyi M.A. (2018) Technological disruption in accounting and auditing. Journal of Emerging Technologies in Accounting, 15(2), 1-10. DOI: https://doi.org/10.2308/jeta-10640
Crosby M., Pattanayak P., Verma S., Kalyanaraman V. (2016) Blockchain Technology: Beyond Bitcoin. Applied Innovation Review, 2, 6-19.
Cuevas-Rodríguez G., Gomez-Mejia L.R., Wiseman R.M. (2012) Has agency theory run its course?: Making the theory more flexible to inform the management of reward systems. Corporate Governance, 20(6), 526-546. DOI: https://doi.org/10.1093/rfs/hhz025
Dai J., Vasarhelyi M.A. (2017) Toward blockchain-based accounting and assurance. Journal Information Systems, 31(3), 5-21. DOI: https://doi.org/10.2308/isys-51804
Du W., Pan S.L., Leidner D.E., Ying W. (2019) Affordances, experimentation and actualization of FinTech: A blockchain implementation study. Journal of Strategic Information Systems. 28(1), 50-65. DOI: https://doi.org/10.1016/j.jsis.2018.10.002
Erel I., Stern L., Tan C., Weisbach M.S. (2019) Selecting Directors Using Machine Learning (ECGI Working Paper 605/2019), Brusseks: European Corporate Governance Institute.
Erevelles S., Fukawa N., Swayne L. (2016) Big Data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897-904. DOI: https://doi.org/10.1016/j.jbusres.2015.07.001
Erthal A., Marques L. (2018) National culture and organisational culture in lean organisations: A systematic review. Production Planning & Control, 29(8), 668-687. DOI: https://doi.org/10.1080/09537287.2018.1455233
Fahlevia M., Vional V., Pramesti R.M. (2022) Blockchain technology in corporate governance and future potential solution for agency problems in Indonesia. International Journal of Data and Network Science, 6, 721-726.
Gibson E., Daim T., Garces E., Dabic M. (2018) Technology Foresight: A Bibliometric Analysis to Identify Leading and Emerging Methods. Foresight and STI Governance, 12(1), 6-24. DOI: https://doi.org/10.17323/2500-2597.2018.1.6.24
Gomber P., Kauffman R.J., Parker C., Weber B.W. (2018) On the FinTech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of Management Information Systems, 35(1), 220-265. DOI: https://doi.org/10.1080/07421222.2018.1440766
Harahap F., Nasution N., Anugrah E., Manurung B. (2019) The Effect of Blended Learning on Student's Learning Achievement and Science Process Skills in Plant Tissue Culture Course. International Journal of Instruction, 12(1), 521-538.
Henderson M., Shurville S., Fernstrom K. (2009) The quantitative crunch: The impact of bibliometric research quality assessment exercises on academic development at small conferences. Campus-Wide Information Systems, 26(3), 149-167. DOI: https://doi.org/10.1108/10650740910967348
Iansiti M., Lakhani K. (2017) The Truth about Blockchain. Harvard Business Review, January-February 2017, 1-11. https://enterprisersproject.com/sites/default/files/the_truth_about_blockchain.pdf, дата обращения 20.11.2023.
Ivaninskiy I., Ivashkovskaya I. (2020) What Impact Does Artificial Intelligence Have on Corporate Governance? Journal of Corporate Finance Research, 14(4), 19-30. DOI: https://doi.org/10.17323/j.jcfr.2073-0438.14.4.2020.19-30
Jensen M.C., Meckling W.H. (1976) Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360. DOI: https://doi.org/10.1016/0304-405X(76)90026-X
Kajikawa Y., Mejia C., Wu M., Zhong Y. (2022) Academic landscape of Technological forecasting and social change throught citation network and topic analyses. Technological Forecasting and Social Change, 182, 121877. DOI: https://doi.org/10.1016/j.techfore.2022.121877
Prasetyo A.H. (2019) Javanese Reduplication: A Study on Pangkur Jengglengtv Program. International Journal of Humanity Studies, 2(2), 179-185. DOI: https://doi.org/10.24071/ijhs.2019.020207
Rantanen A., Salminen J., Ginter F., Jansen B.J. (2019) Classifying online corporate reputation with machine learning: A study in the banking domain. Internet Research, 30(1), 45-66. DOI: https://doi.org/10.1108/INTR-07-2018-0318
Shleifer A., Vishny R.W. (2012) A Survey of Corporate Governance. Journal of Finance, 52(2), 737-783. DOI: https://doi.org/10.1111/j.1540-6261.1997.tb04820.x
Shu-Hsien L. (2005) Expert System methodologies and applications - A decade review from 1995 to 2004. Expert Systems with Applications, 28(1), 93-103. DOI: https://doi.org/10.1016/j.eswa.2004.08.003
Tan B.S., Low K.Y. (2019) Blockchain as the database engine in the accounting system. Australian Accounting Review, 29(2), 312-318. DOI: https://doi.org/10.1111/auar.12278
Tanudjaja I., Kow G.Y. (2018) Exploring Bibliometric Mapping in NUS Using BibExcel and VOSviewer. Paper presented at the IFLA WLIC Conference, August 24-30, 2018, Kuala-Lumpur, Malaysia.
Velnampy T. (2013) Corporate Governance and Firm Performance: A Study of Sri Lankan Manufacturing Companies. Journal of Economics and Sustainable Development, 4(3), 228-235.
Yermack D. (2015) Is Bitcoin a Real Currency? An Economic Appraisal. In: Handbook of Digital Currency. Bitcoin, Innovation, Financial Instruments, and Big Data (ed. D. Lee Kuo Chuen), Amsterdam: Elsevier, pp. 31-43. DOI: https://doi.org/10.1016/B978-0-12-802117-0.00002-3
Zhao X., Wang T., Lu H., Sun X., Wang X., Wang F.-Y. (2017) A Bibliographic and Coauthorship Analysis of IEEE T-ITS Literature Between 2014 and 2016. IEEE Transactions on Intelligent Transportation Systems, 19(9), 2751-2761. DOI: https://doi.org/10.1109/TITS.2017.2767062
This work is licensed under a Creative Commons Attribution 4.0 International License.