Artificial intelligence: Building a research agenda
DOI:
https://doi.org/10.15678/EBER.2024.120101Abstract
Objective: The existing literature on artificial intelligence is reviewed with the aim of identifying interesting and novel research avenues. This leads to a focus on experiences, customisation, diversity and strategy as the main issues requiring further investigation.
Research Design & Methods: A systematic literature review was conducted on articles related to artificial intelligence and business using various databases including Scopus, Web of Science and Google Scholar.
Findings: Artificial intelligence is a hot topic particularly for international business managers who are incorporating technological innovation for competitive reasons. This article focuses on the link between artificial intelligence and international business in terms of future research opportunities.
Implications & Recommendations: The results of this study will help business managers and practitioners understand the main trending areas related to artificial intelligence in a business setting. It is recommended that academic researchers and policy makers consider the future research suggestions stated in the article in order to help them derive new research directions.
Contribution & Value Added: Potential research topics and questions are stated that help international business researchers and practitioners focus on key important areas. Thereby helping to consolidate the existing research but also offering new possibilities regarding the use of artificial intelligence in international business.
Keywords
artificial intelligence, business model innovation, entrepreneurship, globalisation, innovation, international business, internationalisation, societal change, technology innovation
Author Biography
Vanessa Ratten
Associate Professor of entrepreneurship in the Department of Management, La Trobe Business School at La Trobe University, Melbourne, Australia. Her research interests focus on entrepreneurship and innovation. She has over 150+ publications in peer reviewed journals, which are distinctive in the way they combine topics from different areas. Most of these publications have received international recognition for their contribution to the entrepreneurship and innovation field. She is the Editor of the Journal of Family Business Management and the Associate Editor of the Journal of Small Business & Entrepreneurship and the International Journal of Management Education. She has edited many special journal issues including for Marketing Intelligence & Planning, International Journal of Sport Policy and Politics, Education & Training, Journal of Management & Organization, Asia Pacific Journal of Marketing and Logistics, Small Enterprise Research, International Entrepreneurship and Management Journal, Journal of Business & Industrial Marketing, Journal of Small Business & Entrepreneurship, International Journal of Entrepreneurial Behaviour & Research, Thunderbird International Business Review, Journal of Enterprising Communities, the International Journal of Management Education, Strategic Change, Journal of Science & Technology Policy, Knowledge Management Research & Practice, Journal of Hospitality & Tourism Management amongst others.
References
- Abioye, S.O., Oyedele, L.O., Akanbi, L., Ajayi, A., Delgado, J.M.D., Bilal, M., & Ahmed, A. (2021). Artificial intel-ligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, 103299. https://doi.org/10.1016/j.jobe.2021.103299
- Ashok, M., Madan, R., Joha, A., & Sivarajah, U. (2022). Ethical framework for Artificial Intelligence and Digital technologies. International Journal of Information Management, 62, 102433. https://doi.org/10.1016/j.ijinfomgt.2021.102433
- Bahoo, S., Cucculelli, M., & Qamar, D. (2023). Artificial intelligence and corporate innovation: A review and research agenda. Technological Forecasting and Social Change, 188, 122264. https://doi.org/10.1016/j.techfore.2022.122264
- Budhwar, P., Malik, A., De Silva, M.T., & Thevisuthan, P. (2022). Artificial intelligence–challenges and oppor-tunities for international HRM: a review and research agenda. The International Journal of Human Re-source Management, 33(6), 1065-1097. https://doi.org/10.1080/09585192.2022.2035161
- Canhoto, A.I., & Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons, 63(2), 183-193. https://doi.org/10.1016/j.bushor.2019.11.003
- Chen, L., Jiang, M., Jia, F., & Liu, G. (2022). Artificial intelligence adoption in business-to-business marketing: toward a conceptual framework. Journal of Business & Industrial Marketing, 37(5), 1025-1044. https://doi.org/10.1108/jbim-09-2020-0448
- Ciulli, F., & Kolk, A. (2023). International Business, digital technologies and sustainable development: Con-necting the dots. Journal of World Business, 58(4), 101445. https://doi.org/10.1016/j.jwb.2023.101445
- Davenport, T.H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108-116. Retrieved from https://www.bizjournals.com/boston/news/2018/01/09/hbr-artificial-intelligence-for-the-real-world.html on July 1, 2023.
- Ding, M.A., & Goldfarb, A. (2023). The economics of artificial intelligence: A marketing perspective. Artificial Intelligence in Marketing, 20, 13-76. https://doi.org/10.7208/chicago /9780226613475.001.0001
- Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314. https://doi.org/10.1016/j.jbusres.2020.08.019
- Dorotic, M., Stagno, E., & Warlop, L. (2023). AI on the street: Context-dependent responses to artificial intel-ligence. International Journal of Research in Marketing, In Press. https://doi.org/10.1016/j.ijresmar.2023.08.010
- Enholm, I.M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709-1734. https://doi.org/10.1007/s10796-021-10186-w
- Gera, R., & Kumar, A. (2023). Artificial Intelligence In Consumer Behaviour: A Systematic Literature Review of Empirical Research Papers Published In Marketing Journals (2000-2021). Academy of Marketing Studies Journal, 27(S1).
- Govindarajan, V., & Gupta, A.K. (2001). Building an effective global business team. MIT Sloan Management Review, 42(4), 63.
- Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5-14. https://doi.org/10.1177/0008125619864925
- Haenlein, M., Huang, M.H., & Kaplan, A. (2022). Guest editorial: Business ethics in the era of artificial intelli-gence. Journal of Business Ethics, 178(4), 867-869. https://doi.org/10.1007/s10551-022-05060-x
- Hayes-Roth, B. (1995). An architecture for adaptive intelligent systems. Artificial Intelligence, 72(1-2), 329-365. https://doi.org/10.1016/0004-3702(94)00004-K
- Herath, H.M.K.K.M.B., & Mittal, M. (2022). Adoption of artificial intelligence in smart cities: A comprehensive review. International Journal of Information Management Data Insights, 2(1), 100076. https://doi.org/10.1016/j.jjimei.2022.100076
- Johnson, M., Albizri, A., Harfouche, A., & Fosso-Wamba, S. (2022). Integrating human knowledge into artifi-cial intelligence for complex and ill-structured problems: Informed artificial intelligence. International Journal of Information Management, 64, 102479. https://doi.org/10.1016/j.ijinfomgt.2022.102479
- Kamoonpuri, S.Z., & Sengar, A. (2023). Hi, May AI help you? An analysis of the barriers impeding the imple-mentation and use of artificial intelligence-enabled virtual assistants in retail. Journal of Retailing and Consumer Services, 72, 103258. https://doi.org/10.1016/j.jretconser.2023.103258
- Kanbach, D.K., Heiduk, L., Blueher, G., Schreiter, M., & Lahmann, A. (2023). The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective. Review of Managerial Science, 1-32. https://doi.org/10.1007/s11846-023-00696-z
- Kulkov, I. (2021). The role of artificial intelligence in business transformation: A case of pharmaceutical com-panies. Technology in Society, 66, 101629. https://doi.org/10.1016/j.techsoc.2021.101629
- Ledro, C., Nosella, A., & Vinelli, A. (2022). Artificial intelligence in customer relationship management: litera-ture review and future research directions. Journal of Business & Industrial Marketing, 37(13), 48-63. https://doi.org/10.1108/JBIM-07-2021-0332
- Leung, K., Bhagat, R.S., Buchan, N.R., Erez, M., & Gibson, C.B. (2005). Culture and international business: Recent advances and their implications for future research. Journal of International Business Studies, 36, 357-378.
- Li, S., Peluso, A.M., & Duan, J. (2023). Why do we prefer humans to artificial intelligence in tele-marketing? A mind perception explanation. Journal of Retailing and Consumer Services, 70, 103139. https://doi.org/10.1016/j.jretconser.2022.103139
- Loureiro, S.M.C., Guerreiro, J., & Tussyadiah, I. (2021). Artificial intelligence in business: State of the art and future research agenda. Journal of Business Research, 129, 911-926. https://doi.org/10.1016/j.jbusres.2020.11.001
- Malthouse, E., & Copulsky, J. (2023). Artificial intelligence ecosystems for marketing communications, Inter-national Journal of Advertising, 42(1), 128-140. https://doi.org/10.1080/02650487.2022.2122249
- Mariani, M., & Borghi, M. (2023). Artificial intelligence in service industries: customers’ assessment of service production and resilient service operations. International Journal of Production Research, https://doi.org/10.1080/00207543.2022.2160027
- Mariani, M.M., Hashemi, N., & Wirtz, J. (2023). Artificial intelligence empowered conversational agents: A systematic literature review and research agenda. Journal of Business Research, 161, 113838. https://doi.org/10.1016/j.jbusres.2023.113838
- Nguyen, T.M., & Malik, A. (2022). Impact of knowledge sharing on employees’ service quality: the moderating role of artifi-cial intelligence. International Marketing Review, 39(3), 482-508. https://doi.org/10.1108/IMR-02-2021-0078
- Noorbakhsh-Sabet, N., Zand, R., Zhang, Y., & Abedi, V. (2019). Artificial intelligence transforms the future of health care. The American Journal of Medicine, 132(7), 795-801. https://doi.org/10.1016/j.amjmed.2019.01.017
- Pan, S.L., & Nishant, R. (2023). Artificial intelligence for digital sustainability: An insight into domain-specific research and future directions. International Journal of Information Management, 72, 102668. https://doi.org/10.1016/j.ijinfomgt.2023.102668
- Pitt, C., Paschen, J., Kietzmann, J., Pitt, L.F., & Pala, E. (2023). Artificial intelligence, marketing, and the histo-ry of technology: Kranzberg’s laws as a conceptual lens. Australasian Marketing Journal, 31(1), 81-89. https://doi.org/10.1177/18393349211044175
- Russell, S., & Norvig, P. (1995). A modern, agent-oriented approach to introductory artificial intelligence. Acm Sigart Bulletin, 6(2), 24-26.
- Schneider, J., Abraham, R., Meske, C., & Vom Brocke, J. (2023). Artificial intelligence governance for busi-nesses. Information Systems Management, 40(3), 229-249. https://doi.org/10.1080/10580530.2022.2085825
- Sestino, A., & De Mauro, A. (2022). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management, 34(1), 16-29. https://doi.org/10.1080/09537325.2021.1883583
- Sharma, R., Shishodia, A., Gunasekaran, A., Min, H., & Munim, Z.H. (2022). The role of artificial intelligence in supply chain management: mapping the territory. International Journal of Production Research, 60(24), 7527-7550. https://doi.org/10.1080/00207543.2022.2029611
- Stone, M., Aravopoulou, E., Ekinci, Y., Evans, G., Hobbs, M., Labib, A., ... & Machtynger, L. (2020). Artificial intelligence (AI) in strategic marketing decision-making: a research agenda. The Bottom Line, 33(2), 183-200. https://doi.org/10.1108/BL-03-2020-0022
- Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022). Artificial intelligence, ro-botics, advanced technologies and human resource management: a systematic review. The International Journal of Human Resource Management, 33(6), 1237-1266. https://doi.org/10.1080/09585192.2020.1871398
- Wang, Z., Li, M., Lu, J., & Cheng, X. (2022). Business Innovation based on artificial intelligence and Blockchain technology. Information Processing & Management, 59(1), 102759. https://doi.org/10.1016/j.ipm.2021.102759
- Wright, S.A., & Schultz, A.E. (2018). The rising tide of artificial intelligence and business automation: Devel-oping an ethical framework. Business Horizons, 61(6), 823-832. https://doi.org/10.1016/j.bushor.2018.07.001
- Wu, C.W., & Monfort, A. (2023). Role of artificial intelligence in marketing strategies and performance. Psy-chology & Marketing, 40(3), 484-496. https://doi.org/10.1002/mar.21737