Abstract
References
- Balog, M., & Demirova, S. (2021). Human capital development in the context of the fourth industrial revolution. IOP Conference Series: Earth and Environmental Science. IOP Publishing.
- Maddikunta, P., Pham, Q.V., B, P., Deepa, N., Dev, K., Gadekallu, T., . . . Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26(2), 100257.
- Freeman, I., Haigler, A., Schmeelk, S., Ellrodt, L., & Fields, T. (2019). What are they researching? Examining industry-based doctoral dissertation research through the lens of machine learning. Proceedings 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, 1338–1340.
The Role of Internet of Things, Machine Learning, Artificial Neural Networks and Industry 5.0 in Business Research: Trends and Future Insights
Abstract
The globalization of the business world, the rapid advancement of the Internet, and the increased flexibility of information flow have led to rapid digitalization. In this context, this study aims to better understand the trends and developments in the field of business research on the topics of the Internet of Things (IoT), machine learning, artificial neural networks, and Industry 5.0. Study types, keywords, authors, author collaborations, citations, and countries were analyzed for articles published on the above-mentioned topics in the Web of Science (WoS) database between 2007-2023 (limited to September 27th, 2023). Within the scope of the study, 545 articles were identified in the WoS database and for the purposes of the research, this database was limited to the open access articles published in English, under the Business category and indexed in Social Sciences Citation Index (SSCI), Science Citation Index (SCI), and Emerging Sources Citation Index (ESCI). A bibliometric analysis was conducted by employing the VOSviewer tool to analyze network visualization of keywords and layered and density visualizations of subject areas. Results of the analysis demonstrate that studies in this field have continued to increase since 2018. The top five most frequently used keywords with the highest connection power are machine learning, Internet of Things, artificial intelligence, big data, and natural language processing, respectively. This research has revealed that the journals with the highest number of articles in this field and the highest number of citations were Technological Forecasting and Societal Change, Journal of Business Research, Electronic Markets, and Marketing Science. In terms of the number of articles and citations by country in these fields, England, the USA, Germany, Italy, and Australia ranked the highest. This research provides information on latest technologies, identifies gaps and research opportunities in the field, and contributes to shaping future research paths in the field.
References
- Balog, M., & Demirova, S. (2021). Human capital development in the context of the fourth industrial revolution. IOP Conference Series: Earth and Environmental Science. IOP Publishing.
- Maddikunta, P., Pham, Q.V., B, P., Deepa, N., Dev, K., Gadekallu, T., . . . Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26(2), 100257.
- Freeman, I., Haigler, A., Schmeelk, S., Ellrodt, L., & Fields, T. (2019). What are they researching? Examining industry-based doctoral dissertation research through the lens of machine learning. Proceedings 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, 1338–1340.
Details
| Primary Language | English |
|---|---|
| Subjects | Software Quality, Processes and Metrics |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | December 18, 2023 |
| Publication Date | November 30, 2023 |
| Published in Issue | Year 2023Volume: 24 |
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