Please use this identifier to cite or link to this item:
https://essuir.sumdu.edu.ua/handle/123456789/87758
Or use following links to share this resource in social networks:
Tweet
Recommend this item
Title | Systematic bibliometric review of artificial intelligence technology in organizational management, development, change and culture |
Authors |
Bilan, S.
Suler, P. Skrynnyk, Olena Viktorivna ![]() Krajnakova, E. Vasylieva, Tetiana Anatoliivna ![]() |
ORCID |
http://orcid.org/0000-0001-8300-6616 http://orcid.org/0000-0003-0635-7978 |
Keywords |
organizational management organizational development organizational change organizational culture artificial intelligence neural network bibliometric analysis network analysis |
Type | Article |
Date of Issue | 2022 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/87758 |
Publisher | Vilnius Gedminas Technical University |
License | Creative Commons Attribution 4.0 International License |
Citation | Bilan, S., Šuleř, P., Skrynnyk, O., Krajňáková, E., & Vasilyeva, T. (2022). Systematic bibliometric review of artificial intelligence technology in organizational management, development, change and culture. Business: Theory and Practice, 23(1), 1–13. https://doi.org/10.3846/btp.2022.13204 |
Abstract |
Even now, in the times of advanced digitization, the planning and implementation of many organizational measures remain human-driven. Corresponding to a global trend of application of artificial intelligence in all areas of life, it has received more attention in the last few years and garnered emerging clusters of research in usage of this technology for organizational issues. Some companies already offer tools that support different management tasks in the area of organizational development, but they are not holistic. According to the google trend analysis of the search for artificial intelligence, the inquiry to this topic continues increasing. The purpose of the described investigation was to identify the academic trends in research interaction between such scientific fields, as Artificial Intelligence, Organizational Management, Organizational Development, Organizational Change, and Organizational Culture using bibliometric and network publication analysis. In order to achieve this purpose, we systematically analysed 191 publications between 1983 and 2020 as well as cited and citing publications. The findings of this study provide important conclusions of the current research state. The insightful results are presented in the form of critical review and frame the body of knowledge. |
Appears in Collections: |
Наукові видання (ННІ БіЕМ) |
Views

1128131062

1

1

1

1448500697

1

3849

1

1347486

1

1

1

27327236

1

523543

1393832681

1347476

107961043

1026385004

107961049

1

-1583418117

114951

104128

-2040052655

1205596195

27327233
Downloads

1

1

1

1

1

1

74449

1

1

1

1

1

2072072491

-2040052656

1

117691

-2040052661

-2040052661

-2040052660

187697

1

61488

1

2052770007

1

-1544655008

-2040052658

1

1

1

1

1

-452589155

1

-2040052652

1

1

1

-2040052659

107961044

-2040052657

157460

-2040052663

191095

1

1205596193

-2040052654

1

417996032
Files
File | Size | Format | Downloads |
---|---|---|---|
Bilan_et_al_bibliometric_2022.pdf | 1.02 MB | Adobe PDF | 639284113 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.