Literature Review on Social and Organizational Acceptance of Digital Transformation

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.


Introduction
Various concepts as well as many approaches and solutions already applied are not only aimed at achieving certain performance, but also at measuring and evaluating it. These were used for the entire economy (Khan, 2018), in certain sectors (Ginevičius et al., 2018), in already established areas, new fields (such as eco-innovation) (Mutanov et al., 2019), (Oliinyk et al., 2018) as well as in the enterprise or its units (Bacik et al., 2019), (Dinçer et al., 2019), (Hájek et al., 2019), (Pakhnenko et al., 2018), (Peresadko et al., 2014), (Shkodra, 2019). Certainly, the conversion of such concepts, the elaboration of the approaches and the implementation of the solutions must be aligned with the transformations in the economy and technology and be consistent with the respective cycles , . Digital transformation of business, projects, processes, and goods as an object of scientific knowledge has already been investigated in different studies (Ziyadin et al., 2020).
Since industry 4.0 has been the benchmark for leading technology in the first half of the XXI century, scientists are turning their attention to its application for the mentioned purposes. This is emphasized in the numerous studies: worldwide in the enterprises (Bilan et al., 2020), in the single sectors , (Njegovanović, 2018 a,b). One of the most important drivers in the transition to the digital economy is the factor of human. This primarily determines the degree of involvement of the participants, the depth of integration of the technology and the dynamics of its dissemination (Akpoviroro et al., 2018), (Alyoubi and Yamin, 2019), (Klochkov et al., 2016), (Rogowski, 2017), (Vargas-Hernández and Rodríguez, 2018).

Methodology and Research Methods
To achieve more feasible bias, the bibliometric and network analysis of published research results was conducted. The effectiveness and timeliness of the methods and tools used have already been proven by the scientists, what supported the made decision. The initial search consisted of the initial data collection for selected terms and filtering the search results according to their temporal relevance and document type. It was performed in the Scopus database. Due to expected comprehensive results of the investigation, the following terms for the search were reviewed: "digital", "industry 4.0", "artificial intelligence", "social acceptance", "social adaption", "organizational adaption", "economy", "business", "enterprise" as well as "organizational development", "organizational change", "organizational culture".
Filtered out publications were books and book chapters, reviews, short survives as well as undefined document types and entries older than 5 years. The filtered results were analyzed and visualized according to the subject area, publication year and affiliation analysis. The obtained results were also used for the further network analysis. This was performed in well-known network tool VOSViewer (Van Eck and Waltman, 2017). The first tool evaluated the citations with the aim to define the main clusters. In the VOSViewer tool the keyword analysis was performed.

Results
The initial search analysis yielded 596 results. The 257 publications were filtered out. Analysis of the search results by year of publication shows a continuous increase till 2019 and then the decrease in 2020 ( Figure 1). Considering that the data collection was performed at the beginning of March and the number of publications was 16, assuming that the trend continues to increase, it can be stated that the scientific interest in the subject remains. Almost 65% of all publications are published in 164 journals. Just over 35% (91) of publications are conference proceedings. Both the articles and the conference proceedings correspond to the various scientific fields. Figure 2 shows that the largest number of papers was published in Computer Science (88). Geographically, some countries have a higher density of scientific institutions that are researching the subject investigated. Table 1 lists the organizations with three or more publications corresponding to their geographical position. According to Table 1, although the largest number of publications per institution is at the University of Southern California (5) located in the USA, the largest number of research centers is in Germany. Four institutions are located here with a total of 12 publications. The other remarkable aspect is the fact that most of the contributing organizations are located in Europe. This fact is underlined by the findings of Figure 3 and Table 2: the total number of publications in Europe exceeds those in the rest of the world. Figure 3 shows the most published countries. The intensity of the colour indicates the number of publications. Countries with less than 10 publications are not marked.    Since our research investigated the current and future development directions, we have performed an analysis of the mostly used keywords. It resulted in the following findings: ➢ in total 2375 keywords were found. In order to better capture the connectivity of the terms, we have limited the selection to 79 keywords, which have at least five connections (edges) to the other keywords (nodes); ➢ the connected keywords are organized in three large clusters with accordingly 43, 22 and 14 entries; ➢ most connected term is "human" (occurs 35 times, with a total of 357 connections in the network).
As can be seen in Figure 4, the keywords "organizational culture", "organizational cultures", "human", "social acceptance", "digital transformation", "artificial intelligence", "organizational development", "article", "male" and "female" have the highest weightings. Considering that these keywords have great significance, it can be said that these topics are highly actual and have further potential.  The subsequent publication quantity was analyzed according to the "internal connections". The citation network analysis of publications showed that 52 nodes have at least one edge (citation) to another node (publication) ( Figure 5). The connected nodes form a total of 13 clusters. Five clusters with the largest number of publications are (Table 3): Table 3. Largest Publication Clusters

Discussion
In this investigation the author tried to be objective and obtain the most accurate results. Nevertheless, the investigation has some limitations: ➢ definition limitation (on the one hand, synonyms are often used for the same terms, which subsequently limits the results of the investigation; on the other hand, the issues, which only describe a certain aspect of the topic and are not identified accordingly, are also not considered); ➢ use of only one database (the more literature sources are available, the more complete the range of results).

Conclusion
The results of our investigation provide numerous conclusions: ➢ the issue of raising awareness of digitization among individuals, especially within society and closer the organization, remains relevant; ➢ particularly relevant in this context are the fields of Computer Science, Business, Management and Accounting, Engineering, Social Sciences and others; ➢ the most influential institutions in this field are located in the United States and Germany; ➢ the tendency to focus on organizational issues (especially "organizational culture") in the context of digitization in companies and in the economy.
The gained knowledge can be used by scientists and practitioners for further research in the field of digitalization of economy of or individual business. The investigation highlighted the key points of the field of knowledge.
Funding. The survey was supported by the Ministry of Education and Science of Ukraine and performed the results of the project "Modeling and forecasting of the socio-economic-political road map of reforms in Ukraine for the transition to a sustainable growth model" (registration number 0118U003569).