The Evolution of Artificial Intelligence in Business Innovation: A Comprehensive Bibliometric Study
DOI:
https://doi.org/10.47747/jbme.v5i4.2556Keywords:
Artificial Intelligent, Business Innovation, bibliometrics, research trends, business developmentAbstract
This study analyzes the relationship between Artificial Intelligence (AI) and business innovation using bibliometric methods. The results reveal that research trends in this field continue to grow, with a primary focus on AI applications in operational efficiency, business strategy, and product development. The study also identifies gaps in exploring the specific impact of AI on certain types of innovation and the lack of cross-disciplinary collaboration. These findings emphasize the relevance of this topic for future research, particularly in supporting technology-based business development.
References
Abrar, M., Asif Ali, S., Ahmad Baig, S., Amjad, F., Rizwan, S., & Mohsin, B. (2019). Innovation is creating competitive advantage: a perspective to improve the organic textile products for business growth. Industria Textila, 70(02), 147–153. https://doi.org/10.35530/IT.070.02.1644
Ahmad, A. S. (2017). Brain inspired cognitive artificial intelligence for knowledge extraction and intelligent instrumentation system.
Araujo, D., Bruno, G., Marcucci, J., Schmidt, R., & Tissot, B. (2023). Machine learning applications in central banking. Journal of AI, Robotics & Workplace Automation, 2(3), 271. https://doi.org/10.69554/LSSN4651
Astawa, I. P. P., & M. Arsha, I. M. R. (2024). Artificial Intelligence and Business Models from the Perspective of Innovation and Operational Efficiency of Companies: Systematic Literature Review. International Journal of Research and Innovation in Social Science, VIII(XI), 1882–1899. https://doi.org/10.47772/IJRISS.2024.8110147
Bogdanovic, Z. (2021). Artificial Intelligence in Federal Information of Processing Systems. American Journal of Computer Science and Information Technology.
Chen, J. E., Bao, F., Li, C., & Lin, Y. (2023). The Application and Ethics of Artificial Intelligence in Blockchain: A Bibliometric-Content Analysis. In Journal of Global Information …. igi-global.com. https://www.igi-global.com/article/the-application-and-ethics-of-artificial-intelligence-in-blockchain/323656
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Echchakoui, S. (2020). Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019. Journal of Marketing Analytics, 8(3), 165–184. https://doi.org/10.1057/s41270-020-00081-9
Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics. Scientometrics, 105, 1809–1831. https://doi.org/https://doi.org/10.1007/s11192-015-1645-z
Elli Sulistyaningsih. (2022). Improving Human Resources Technology Innovation as a Business Growth Driver in the Society 5.0 Era. ADI Journal on Recent Innovation (AJRI), 4(2), 149–159. https://doi.org/10.34306/ajri.v4i2.820
Gupta, A., Gupta, R., & Kukreja, G. (2021). Cyber Security Using Machine Learning: Techniques and Business Applications (pp. 385–406). https://doi.org/10.1007/978-3-030-72080-3_21
Harahap, M. A. K., Ausat, A. M. A., & Kurniawan, M. S. (2024). Toward Competitive Advantage: Harnessing Artificial Intelligence for Business Innovation and Entrepreneurial Success. Jurnal Minfo Polgan, 13(1), 254–261. https://doi.org/10.33395/jmp.v13i1.13615
Hidayat, S., Setiawan, M., Rohman, F., & Sabil Hussein, A. (2023). Reawakening Digital Innovation and Collaboration Strategy: Strategies to Improve Business Performance. WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS, 20, 342–351. https://doi.org/10.37394/23207.2023.20.32
Hrushchynska, N. M., Pobochenko, L. M., Nabok, I. I., & Prokopieva, A. A. (2024). The Aerospace Industry in Post-Industrial Development. Business Inform, 2(553), 6–12. https://doi.org/10.32983/2222-4459-2024-2-6-12
Hung, A. J., Chen, A. B., Cacciamani, G. E., & Gill, I. S. (2021). Artificial Intelligence Will (MAY) Make Doctors Expendable (IN GOOD WAYS): Pro.
Hussain, M. (2023). When, Where, and Which?: Navigating the Intersection of Computer Vision and Generative AI for Strategic Business Integration. IEEE Access, 11, 127202–127215. https://doi.org/10.1109/ACCESS.2023.3332468
Jain, R. (2021). Role of artificial intelligence in banking and finance. Journal of Management and Science, 13(3), 1–4. https://doi.org/https://doi.org/10.26524/jms.13.27
Kashou, A. H., May, A. M., & Noseworthy, P. A. (2020). Artificial Intelligence-Enabled ECG: a Modern Lens on an Old Technology. https://doi.org/10.1007/s11886-020-01317-x.
Konina, O. (2024). IMPROVING BUSINESS INNOVATION MANAGEMENT THROUGH ARTIFICIAL INTELLIGENCE. Journal of Trends and Challenges in Artificial Intelligence, 1(1), 21–32. https://doi.org/10.61552/JAI.2024.01.003
Lambert, M. (2012). A beginner’s guide to doing your education research project. SAGE.
Longxing, L., Bingwang, X., & Yu, Z. (2023). Digital Innovation and AI Artificial Intelligence Perspectives on Wuhan Flower Gallery Accommodation Resources Fuzzy integrated evaluation benefit analysis. Proceedings of the 2023 6th International Conference on E-Business, Information Management and Computer Science, 180–183. https://doi.org/10.1145/3644479.3644508
LOSEV, К. V., & MOLCHANOVA, S. M. (2021). INNOVATION AS NEW PRODUCTION PROCESSES AND NEW WAYS OF DOING BUSINESS. EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA, 1(1), 106–112. https://doi.org/10.36871/ek.up.p.r.2021.01.01.017
Lu, J. (2020). Artificial Intelligence and Business Innovation. 2020 International Conference on E-Commerce and Internet Technology (ECIT), 237–240. https://doi.org/10.1109/ECIT50008.2020.00061
Mbaidin, H. O., Alomari, K. M., Sbaee, N. Q., AlMubydeen, I. O., & Chindo, U. M. (2024). The innovation role of artificial intelligence using data analytics to influence sustainable business practices and firms’ profitability in cars industry. Journal of Infrastructure, Policy and Development, 8(11), 4963. https://doi.org/10.24294/jipd.v8i11.4963
Ram, B., & Verma, P. (2023). Artificial intelligence AI-based Chatbot study of ChatGPT, Google AI Bard and Baidu AI. World Journal of Advanced Engineering Technology and Sciences, 08(01), 258–261. https://doi.org/https://doi.org/10.30574/wjaets.2023.8.1.0045
Roos, G. (2014). Business Model Innovation to Create and Capture Resource Value in Future Circular Material Chains. Resources, 3(1), 248–274. https://doi.org/10.3390/resources3010248
Sarker, I. H. (2021). Machine Learning: Algorithms, Real-World Applications and Research Directions. SN Comput Sci, 2(3), 160. https://doi.org/10.1007/s42979-021-00592-x
SCHALLMO, D., WILLIAMS, C. A., & BOARDMAN, L. (2017). DIGITAL TRANSFORMATION OF BUSINESS MODELS — BEST PRACTICE, ENABLERS, AND ROADMAP. International Journal of Innovation Management, 21(08), 1740014. https://doi.org/10.1142/S136391961740014X
Schmitt, M. (2022). Automated machine learning: AI-driven decision making in business analytics. International Journal of Information Management. https://doi.org/doi.org/10.48550/arXiv.2205.10538
Setiawan, J., & Hendayana, Y. (2024). Analysis Of The Influence Of Artificial Intelligence On Business Innovation (Literature Review Study). Dinasti International Journal of Digital Business Management, 5(4), 697–702. https://doi.org/10.38035/dijdbm.v5i4.2801
Stradowski, S., & Madeyski, L. (2023). Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review. Information and Software Technology, 159, 107192. https://doi.org/10.1016/j.infsof.2023.107192
Tariq, M. U., Poulin, M., & Abonamah, A. A. (2021). Achieving Operational Excellence Through Artificial Intelligence: Driving Forces and Barriers.
Wen, B., & Chaddad, A. (2023). The Use of Explainable Artificial Intelligence in Medicine. https://doi.org/10.1109/Healthcom56612.2023.10472365
Yamnenko, H. (2021). Creativity as a Condition for Increasing the Competitiveness of the Enterprise. Path of Science, 7(2), 1012–1018. https://doi.org/10.22178/pos.67-5
Zhai, J. (2024). INFLUENCE OF CEO PROFESSIONAL RICHNESS ON THE INNOVATION PERFORMANCE OF LISTED COMPANIES IN THE AI SECTOR. The EUrASEANs: Journal on Global Socio-Economic Dynamics, 5(48), 136–147. https://doi.org/10.35678/2539-5645.5(48).2024.136-147
Zhou, B. (2018). Transforming retailing experiences with artificial intelligence. Proceedings of the 26th ACM International Conference …. https://doi.org/10.1145/3240508.3267341
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Copyright (c) 2024 Nisrina WIdi Hanifah, Nanang Fattah, Arief Budiman

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