An Interdisciplinary Bibliometric Review of the Symbiotic Relationship between Business Intelligence and Artificial Intelligence

Main Article Content

Loso Judijanto
I Wayan Karang Utama
Nita Priska Ambarita
Indra Permana

Abstract

This research conducts an interdisciplinary bibliometric review to explore the symbiotic relationship between Business Intelligence (BI) and Artificial Intelligence (AI). Utilizing advanced bibliometric tools, we analyze a comprehensive dataset extracted from reputable databases, encompassing articles that meet predefined inclusion criteria. The study reveals thematic clusters, influential documents, and core keywords shaping the discourse within the BI-AI landscape. Thematic clusters highlight the multidisciplinary nature of research, ranging from the impact of AI on finance to business model innovation and sustainability. The top-ten cited documents provide a snapshot of seminal works guiding academic and practical understanding, while keyword analysis illuminates the central themes and areas of emphasis. The cross-analysis of these elements offers a nuanced view of the evolving landscape of BI-AI integration. The findings not only contribute to academic scholarship but also provide practical insights for organizations navigating the dynamic intersection of BI and AI.

Article Details

How to Cite
Judijanto, L., Utama, I. W. K., Ambarita, N. P., & Permana, I. (2023). An Interdisciplinary Bibliometric Review of the Symbiotic Relationship between Business Intelligence and Artificial Intelligence. The Eastasouth Journal of Information System and Computer Science, 1(02), 98–108. https://doi.org/10.58812/esiscs.v1i02.183
Section
Articles

References

L. Judijanto and A. Info, “Evaluation of the Influence of Organizational Factors , Human Resources , and Entrepreneurship on Agribusiness Business Productivity : A Case Study on Oil Palm Plantations in Cikidang Area , Sukabumi Regency,” vol. 01, no. 01, pp. 1–7, 2023.

S. A. Wahdiniawati, A. L. Jusdienar, A. S. Yahya, L. Judijanto, and S. Immi, “Assessing the Impact of Training , Industry Partnerships , and Government Policies on the Success of Business Development Programs : A Case Study in Central Java Province,” vol. 1, no. 11, pp. 361–371, 2023.

M. M. Mariani, I. Machado, V. Magrelli, and Y. K. Dwivedi, “Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions,” Technovation, vol. 122, p. 102623, 2023.

T. Davenport, A. Guha, D. Grewal, and T. Bressgott, “How artificial intelligence will change the future of marketing,” J. Acad. Mark. Sci., vol. 48, pp. 24–42, 2020.

R. N. Pagani, C. P. de Sá, A. Corsi, and F. F. de Souza, “AI and Employability: Challenges and Solutions from this Technology Transfer,” in Smart Cities and Digital Transformation: Empowering Communities, Limitless Innovation, Sustainable Development and the Next Generation, Emerald Publishing Limited, 2023, pp. 253–284.

A. Benabed, “Artificial Intelligence’s Relevance for Energy Optimization, Companies and Business Internationalization,” in Proceedings of the 9th BASIQ International Conference on New Trends in Sustainable Business and Consumption, Constanta, Romania, 2023, pp. 8–10.

R. Adebiaye, “Extrapolative Data Analytics as a Panacea for Business Intelligence Decisions in Auto Dealership: A Case Study,” 2022.

Y. Lin, Y. He, and S. Chaudhuri, “Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph,” arXiv Prepr. arXiv2306.12515, 2023.

Y. Iskandar, “Strategic Business Development of Polosan Mas Ibing with the Business Model Canvas Approach,” in International Conference on Economics, Management and Accounting (ICEMAC 2021), 2022, pp. 164–179.

M. Musapa, Nyai.holilah, and S. S. M. M. Yusuf Iskandar, Strategies to Increase MSME Income to Maintain Business Continuity in the Era of the Industrial Revolution 4.0 (Study on Food and Beverage MSMEs in Sukabumi Regency), vol. 0. Atlantis Press International BV, 2023. doi: 10.2991/978-94-6463-226-2_37.

M. A. K. Harahap, R. N. Wurarah, A. Fathurohman, A. Suroso, and Y. Iskandar, “Globalization Substance And Industrial Revolution 4.0 And The Role Of Technological Innovation For Economic Development Towards Entrepreneurship,” J. Bisnisman Ris. Bisnis dan Manaj., vol. 4, no. 3, pp. 37–51, 2023, doi: 10.52005/bisnisman.v4i3.122.

U. B. Jaman, A. F. Lubis, and S. Suhartono, “Legal Challenges in the Development of Information and Communication Technology SMEs in Jabodetabek Region, Indonesia,” West Sci. Law Hum. Rights, vol. 1, no. 04, pp. 149–156, 2023, doi: 10.58812/wslhr.v1i04.321.

A. Junaedi, R. A. Bramasta, U. B. Jaman, and A. Ardhiyansyah, The Effect of Digital Marketing and E-Commerce on Increasing Sales Volume, vol. 1. Atlantis Press International BV, 2023. doi: 10.2991/978-94-6463-226-2_12.

A. A. Bozdag, “AIsmosis and the pas de deux of human-AI interaction: Exploring the communicative dance between society and artificial intelligence,” Online J. Commun. Media Technol., vol. 13, no. 4, p. e202340, 2023.

X. Ferràs-Hernández, P. A. Nylund, and A. Brem, “The Emergence of Dominant Designs in Artificial Intelligence,” Calif. Manage. Rev., p. 00081256231164362, 2023.

K. Kaliuta, “Integration of AI for Routine Tasks Using Salesforce,” Asian J. Res. Comput. Sci., vol. 16, no. 3, pp. 119–127, 2023.

V. J. Straub, D. Morgan, Y. Hashem, J. Francis, S. Esnaashari, and J. Bright, “A multidomain relational framework to guide institutional AI research and adoption,” arXiv Prepr. arXiv2303.10106, 2023.

D. Tjondronegoro, E. Yuwono, B. Richards, D. Green, and S. Hatakka, “Responsible AI Implementation: A Human-centered Framework for Accelerating the Innovation Process,” arXiv Prepr. arXiv2209.07076, 2022.

S. Jang and G. Lee, “Interactive Design by Integrating a Large Pre-Trained Language Model and Building Information Modeling,” arXiv Prepr. arXiv2306.14165, 2023.

A. Cevallos-Culqui, C. Pons, and G. Rodriguez, “Semi-supervised learning models for document classification: A systematic review and meta-analysis,” Intel. Artif., vol. 26, no. 72, pp. 81–111, 2023.

F. Ghayem, H. Yang, F. Kantar, S.-J. Kim, V. D. Calhoun, and T. Adali, “New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning,” in ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, pp. 1–5.

M. Levy, R. Ben-Ari, N. Darshan, and D. Lischinski, “Data Roaming and Early Fusion for Composed Image Retrieval,” arXiv Prepr. arXiv2303.09429, 2023.

G. Zong, L. He, J. Chen, S. Xiao, and L. Wei, “Deep Feature Filtering and Contextual Information Gathering Network for RGB-D Salient Object Detection,” in 2022 China Automation Congress (CAC), 2022, pp. 3313–3318.

S. Ransbotham, D. Kiron, P. Gerbert, and M. Reeves, “Reshaping Business With Artificial Intelligence,” MIT Sloan Manag. Rev., vol. Fall, no. 59181, pp. 1–17, 2017.

A. Di Vaio, R. Palladino, R. Hassan, and O. Escobar, “Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review,” J. Bus. Res., vol. 121, pp. 283–314, 2020, doi: https://doi.org/10.1016/j.jbusres.2020.08.019.

C. Dirican, “The Impacts of Robotics, Artificial Intelligence On Business and Economics,” Procedia - Soc. Behav. Sci., vol. 195, pp. 564–573, 2015, doi: https://doi.org/10.1016/j.sbspro.2015.06.134.

A. I. Canhoto and F. Clear, “Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential,” Bus. Horiz., vol. 63, no. 2, pp. 183–193, 2020, doi: https://doi.org/10.1016/j.bushor.2019.11.003.

J. Lee, T. Suh, D. Roy, and M. Baucus, “Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 5, no. 3. 2019. doi: 10.3390/joitmc5030044.

S. M. C. Loureiro, J. Guerreiro, and I. Tussyadiah, “Artificial intelligence in business: State of the art and future research agenda,” J. Bus. Res., vol. 129, pp. 911–926, 2021, doi: https://doi.org/10.1016/j.jbusres.2020.11.001.

S. A. Wright and A. E. Schultz, “The rising tide of artificial intelligence and business automation: Developing an ethical framework,” Bus. Horiz., vol. 61, no. 6, pp. 823–832, 2018, doi: https://doi.org/10.1016/j.bushor.2018.07.001.

M. Klumpp, “Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements,” Int. J. Logist. Res. Appl., vol. 21, no. 3, pp. 224–242, May 2018, doi: 10.1080/13675567.2017.1384451.

N. Soni, E. K. Sharma, N. Singh, and A. Kapoor, “Artificial Intelligence in Business: From Research and Innovation to Market Deployment,” Procedia Comput. Sci., vol. 167, pp. 2200–2210, 2020, doi: https://doi.org/10.1016/j.procs.2020.03.272.