Abstract

Enterprise digitization continues to drive the transformation of business processes and the content of human work. Despite the diachronic nature of these changes, social and organizational acceptance is not clearly determined. Therefore, the importance of researching the social attitudes in organizations towards digitalization arises. The relevance of the decision of this scientific problem consists in the increased digitalization and automation of all areas of the company. The main purpose of the research is to investigate the dominant research perspectives on the acceptance of digital changes in organizations. In order to provide the comprehensive review, the methods of bibliometric and network analysis were applied. For this purpose, publications on corresponding terms were searched, filtered, structured and analyzed with appropriate tools. Methodological tools of the research methods were supported by digital tool VosViewer. This article provides the results of the investigation of scientific publications on the topic of social and organizational acceptance of digital transformation in the economy and in the enterprises. The findings of the analysis, such as current subject fields, the contributing organizations, and related research focuses, point to a profound basis for further research, as well as the future potential of this issue. The results of the research can be useful for obtaining the overview and generalization of trends. The knowledge gained can be applied by scientists and practitioners.

Keywords: Digital Transformation, Digital Economy, Social Acceptance, Organizational Development, Organizational Culture.

JEL Classification: O33.

Cite as: Skrynnyk, O. (2021). Literature Review on Social and Organizational Acceptance of Digital Transformation. Business Ethics and Leadership, 5(4), 110-117. https://doi.org/10.21272/bel.5(4).110-117.2021

This work is licensed under a Creative Commons Attribution 4.0 International License

References

1. Abdalla, W., Renukappa, S., Suresh, S., & Al-Janabi, R. (2019). Challenges for Managing Smart Cities Initiatives: An Empirical Study. Proceedings of 3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019, 10-17. [Google Scholar] [CrossRef]
2. Akpoviroro, K.S., Olalekan, A., & Alhaji, S.A. (2018). Moderating Influence of Strategic Human Resources Management Practices on Small-Medium Firm Performance. Business Ethic and Leadership, 2(4), 99-107. [Google Scholar] [CrossRef]
3. Alyoubi, A.B. & Yamin, M.A.Y. (2019). The impact of task technology fit on employee job performance. Marketing and Management of Innovations 4, 140-159. [Google Scholar] [CrossRef]
4. Azarova, V., Cohen, J., Friedl, C., & Reichl, J. (2019). Designing local renewable energy communities to increase social acceptance: Evidence from a choice experiment in Austria, Germany, Italy, and Switzerland. Energy Policy 132, 1176-1183. [Google Scholar] [CrossRef]
5. Bacik, R., Kloudova, J., Gonos, J., & Ivankova, V. (2019). Management of competitiveness and economic performance based in the V4 countries. Marketing and Management of Innovations 3, 73-88. [Google Scholar] [CrossRef]
6. Bilan, Y., Brychko, M., Buriak, A. & Vasilyeva, T. (2019). Financial, business and trust cycles: The issues of synchronization [Ciklusi financiranja, poslovanja i povjerenja: pitanja za sinkronizaciju]. Zbornik Radova Ekonomskog Fakultet au Rijeci 37(1), 113-138. [Google Scholar] [CrossRef]
7. Bilan, Y., Кuzmenko, О. & Boiko, A. (2019). Research on the impact of industry 4.0 on entrepreneurship in various countries worldwide. Proceedings of the 33rd International Business Information Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management through Vision 2020, 2373-2384. Available at: [Link]
8. Bilan, Y., Rubanov, P., Vasylieva, T., & Lyeonov, S. (2019). The influence of industry 4.0 on financial services: Determinants of alternative finance development [Wpływ przemysłu 4.0 na usługi finansowe: determinanty rozwoju alternatywnych finansów]. Polish Journal of Management Studies, 19(1), 70-93. [Google Scholar] [CrossRef]
9. Carcary, M. & Doherty, E. (2016). “The digital wild west”: Managing the risks of digital disruption. Proceedings of the European Conference on IS Management and Evaluation, ECIME, 29-36. [Google Scholar]
10. Carcary, M., Doherty, E., & Conway, G. (2019). Personal data protection (Pdp): A conceptual framework for organisational management of personal data in the digital context. European Conference on Information Warfare and Security, ECCWS 2019(July), 87-96. [Google Scholar]
11. Dinçer, H., Yüksel, S., Korsakiene, R., Raišiene, A.G. & Bilan, Y. (2019). IT2 hybrid decision-making approach to performance measurement of internationalized firms in the Baltic States. Sustainability (Switzerland), 11(2), 296. [Google Scholar]
12. Friedl, C. & Reichl, J. (2016). Realizing energy infrastructure projects − A qualitative empirical analysis of local practices to address social acceptance. Energy Policy, 89, 184-193. [Google Scholar] [CrossRef]
13. Ginevičius, R., Gedvilaitė, D., Stasiukynas, A., & Čepel, M. (2018). Integrated assessment of the socioeconomic systems’ development. Economics and Sociology, 11(1), 11-21. [Google Scholar] [CrossRef]
14. Hájek, P., Zhunissova, G., Oralbaeva, Z., Zhidebekkyzy, A., & Baidildina, A. (2019). Competitiveness and Economic Profit Analysis of Kazakhstan’s Poultry Companies. Journal of International Studies, 12(2), 147-164. [Google Scholar] [CrossRef]
15. Kamunda, A., Renukappa, S., & Suresh, S. (2019). Knowledge management in the UK water industry. Proceedings of the European Conference on Knowledge Management, ECKM 2019, 1, 593-600. [Google Scholar]
16. Khan, M J.H. (2018). The Effectiveness of Entrepreneurial Activities for Economic Development: A Route to Innovation and Job Generation. SocioEconomic Challenges, 2(2), 32-40. [Google Scholar] [CrossRef]
17. Klochkov, Y., Gazizulina, A., & Golovin, N. (2016). Assessment of organization development speed based on the analysis of standards efficiency. Proceedings – 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management, SMRLO 2016, 530-532. [Google Scholar]
18. Li, D., Fast-Berglund, Å., & Paulin, D. (2019). Current and future Industry 4.0 capabilities for information and knowledge sharing: Case of two Swedish SMEs. International Journal of Advanced Manufacturing Technology, 105(9), 3951-3963. [Google Scholar] [CrossRef]
19. Li, D., Paulin, D., Fast-Berglund, Å., Gullander, P., & Bligård, L.-O. (2018). Supporting individual needs for intra-organisational knowledge sharing activities in pre-industry 4.0 SMEs. Proceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM 2018-November, 160-170. [Google Scholar]
20. Mohrman, S.A. & Winby, S. (2018). Working toward sustainable development: Consulting to the eco-system. Research in Organizational Change and Development, 26, 1-45. [Google Scholar] [CrossRef]
21. Mutanov, G., Ziyadin, S., & Shaikh, A. (2019). Graphic model for evaluating the competitiveness and eco-efficiency of eco-innovative projects. Entrepreneurship and Sustainability Issues, 6(4), 2136-2158. [Google Scholar] [CrossRef]
22. Njegovanović, A. (2018). Digital Financial Decision with a View of Neuroplasticity /Neurofinancy/ Neural Networks. Financial Markets, Institutions and Risks, 2(4), 82-91. [Google Scholar] [CrossRef]
23. Njegovanović, A. (2018). Artificial Intelligence: Financial Trading and Neurology of Decision. Financial Markets, Institutions and Risks, 2(2), 58-68. [Google Scholar] [CrossRef]
24. Oliinyk, V., Kozmenko, O., Wiebe, I., & Kozmenko, S. (2018). Optimal control over the process of innovative product diffusion: The case of sony corporation. Economics and Sociology, 11(3), 265-285. [Google Scholar] [CrossRef]
25. Pakhnenko, O., Liuta, O. & Pihul, N. (2018). Methodological approaches to assessment of the efficiency of business entities activity. Business and Economic Horizons, 14(1), 143-151. [Google Scholar] [CrossRef]
26. Pasmore, W., Winby, S., Mohrman, S.A., & Vanasse, R. (2019). Reflections: Sociotechnical Systems Design and Organization Change. Journal of Change Management, 19(2), 67-85. [Google Scholar] [CrossRef]
27. Peresadko, G.O., Kovalenko, E.V., & Kulyk, L.A. (2014). Mechanisms of investing into innovative projects of enterprises. Actual Problems of Economics, 160(1), 184-187. [Google Scholar]
28. Pfeiffer, J., Gabriel, A., & Gandorfer, M. (2019). Social acceptance of digital livestock farming technologies: The dairy sector. Precision Livestock Farming 2019 − Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019, 364-369. [Google Scholar]
29. Pfeiffer, J., Schleicher, S., Gabriel, A., & Gandorfer, M. (2019). Gesellschaftliche akzeptanz von Digitalisierung in der Landwirtschaft [Social acceptance of digitalization in agriculture]. Lecture Notes in Informatics (LNI). Proceedings − Series of the Gesellschaft fur Informatik (GI) P-287, 151-154. [Google Scholar]
30. Rogowski, R. (2017). Theoretical Reasons for Economic Sociology. SocioEconomic Challenges, 1(4), 45-49. [Google Scholar] [CrossRef]
31. Shkodra, J. (2019). Financial performance of microfinance institutions in Kosovo. Journal of International Studies, 12(3), 38-47. [Google Scholar] [CrossRef]
32. Vasilyeva, T., Kuzmenko, O., Bozhenko, V., & Kolotilina, O. (2019). Assessment of the dynamics of bifurcation transformations in the economy. CEUR Workshop Proceedings 2422, 134-146. [Google Scholar]
33. Van Eck, N.J. & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111(2), 1053-1070. [Google Scholar] [CrossRef]
34. van Os, H.W.A., Herber, R., & Scholtens, B. (2016). Subsurface activities and decision support systems: An analysis of the requirements for a social acceptance-motivated decision support system. Environmental Impact Assessment Review 60, 176-185. [Google Scholar]
35. van Os, H.W.A., Herber, R., & Scholtens, B. (2017). Modular evaluation method for subsurface activities (MEMSA). A novel approach for integrating social acceptance in a permit decision-making process for subsurface activities. Environmental Impact Assessment Review, 64, 97-122. [Google Scholar]
36. Vargas-Hernández, J.G. & Rodríguez, C.R.F. (2018). Leadership Styles as a Challenge to Generate Innovation Environments in the Companies of the 21st Century. Business Ethics and Leadership, 2(4), 64-73. [Google Scholar] [CrossRef]
37. Ziyadin, S., Suieubayeva, S., & Utegenova, A. (2020). Digital Transformation in Business. Lecture Notes in Networks and Systems 84, 408-415. [Google Scholar] [CrossRef]