The Transformative Role of Artificial Intelligence in the Event Management Industry
DOI:
https://doi.org/10.24191/jibe.v8i2.24045Keywords:
artificial intelligence (AI), attendee engagement, data-driven decision-making, event management, ethical concerns, personalizationAbstract
This opinion paper explores the burgeoning influence of Artificial Intelligence (AI) within the event management industry. AI has emerged as a powerful tool, offering innovative solutions for event planning, execution, and attendee engagement. This paper provides a comprehensive overview of AI's role in event management, discussing its applications, benefits, and potential drawbacks based on contemporary researches and publications. By analysing six (6) current trends and four (4) critical reception of AI in the event industry, we aim to shed light on its transformative potential and its implications for the future of event management. At the end of the paper, the researchers provide recommendations on how to navigate the obstacles in implementing AI technology in event management. This paper is critical in its role to ignite discussions regarding AI implementation in event industry as there are currently very few academic writings on this topic.
References
Biaett, V., & Richards, G. (2020). Event experiences: measurement and meaning. Journal of Policy Research in Tourism, Leisure and Events, 12(3), 277-292. doi:10.1080/19407963.2020.1820146
Causin, G. F., & Scamacca, L. G. (2021). Technology in the Meetings and Events. In G. F. Causin, L. G. Scamacca, C. Cobanoglu, S. Dogan, K. Berezina, & G. Collins (Eds.), HOSPITALITY AND TOURISM INFORMATION TECHNOLOGY (pp. 1-24). South Florida, United States: University of South Florida M3 Publishing. doi:10.5038/9781732127593
Domhnall, M., McLoughlin, E., & Maguire, K. (2023). Emerging Venue Considerations for Event Management: The Case of Ireland. Tourism and Hospitality, 4(1), 187-201. doi:10.3390/tourhosp4010011
Dragin-Jensen, C., Kwiatkowski, G., Lien, V. H., Ossowska, L., Janiszewska, D., Kloskowski, D., & Strzelecka, M. (2022). Event innovation in times of uncertainty. International Journal of Event and Festival Management, 13(4), 387-405.
Ergen, F. D. (2021). Artificial Intelligence Applications for Event Management and Marketing. In F. D. Ergen, & K. Birdir (Ed.), Impact of ICTs on Event Management and Marketing (pp. 199-215). Hershey, Pennsylvania, United States: IGI Global. doi:10.4018/978-1-7998-4954-4.ch012
Fontes, C., Hohma, E., Corrigan, C. C., & Lütge, C. (2022). AI-powered public surveillance systems: why we (might) need them and how we want them. Technology in Society, 71. doi:10.1016/j.techsoc.2022.102137
Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119-132. doi:10.1016/j.ijin.2022.08.005
Hohma, E., Boch, A., Trauth, R., & Lütge, C. (2023). Investigating accountability for Artificial Intelligence through risk governance: A workshop-based exploratory study. Frontiers in Psychology, 14. doi:10.3389/fpsyg.2023.1073686
Hong, Y., Lian, J., Xu, L., Min, J., Wang, Y., Freeman, L. J., & Deng, X. (2023). Statistical perspectives on reliability of artificial intelligence systems. Quality Engineering, 35(1), 56-78. doi:10.1080/08982112.2022.2089854
Hradecky, D., Kennell, J., Cai, W., & Davidson, R. (2022). Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe. International Journal of Information Management, 65. doi:10.1016/j.ijinfomgt.2022.102497
Keiper, M. C. (2023). ChatGPT in practice: Increasing event planning efficiency through artificial intelligence. Journal of Hospitality, Leisure, Sport & Tourism Education, 33. doi:10.1016/j.jhlste.2023.100454
Martín, L., Sánchez, L., Lanza, J., & Sotres, P. (2023). Development and evaluation of Artificial Intelligence techniques for IoT data quality assessment and curation. Internet of Things, 22, 1-20. doi:10.1016/j.iot.2023.100779
Mehmood, U., Moser, I., & Ronald, N. (2020). Event attendance prediction using social media. Australasian Computer Science Week Multiconference (pp. 1-7). Melbourne: Association for Computing Machinery. doi:10.1145/3373017.3373033
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3). doi:10.1016/j.im.2021.103434
Neuhofer, B., Magnus, B., & Celuch, K. (2021). The impact of artificial intelligence on event experiences: a scenario technique approach. Electron Markets, 31, 601-617. doi:10.1007/s12525-020-00433-4
Pandit, K. (2023, May 10). The Role of Generative AI Technologies In Events. Retrieved September 13, 2023, from Forbes: https://www.forbes.com/sites/forbescommunicationscouncil/2023/05/10/the-role-of-generative-ai-technologies-in-events/?sh=be19852176ce
Revilla, R. G., Moure, O. M., & Einsle, C. S. (2023). Advances in event management using new technologies and mobile applications. International Journal of Event and Festival Management, 14(1), 56-72. doi:10.1108/IJEFM-05-2022-0039
Rosly, H. E., Ngah, R., & Lajin, N. F. (2023). Impact of Innovation Ambidexterity on Innovation Performance Moderated by IT Competence of SMEs. Journal of International Business, Economics and Entrepreneurship, 8 (1), 11-22.
Saini, A., & Bhalla, R. (2022). Artificial Intelligence and Automation: Transforming the Hospitality Industry or Threat to Human Touch. In A. Saini, R. Bhalla, V. Garg, & R. Goel (Eds.), Innovative Management Using AI in Industry 5.0 (pp. 88-97). Hershey, United States: IGI Global. doi:10.4018/978-1-7998-8497-2.ch006
Sixin, R., & Salmi, M. I. (2023). The Impact of Digital Transformation on Corporate ESG Performance: Empirical Evidence from Chinese Listed Companies. Journal of International Business, Economics and Entrepreneurship, 8 (1), 1-10.
Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 1-8. doi:10.1016/j.jjimei.2020.100002
Wang, C., Li, Y., Fu, W., & Jin, J. (2023). Whether to trust chatbots: Applying the event-related approach to understand consumers’ emotional experiences in interactions with chatbots in e-commerce. Journal of Retailing and Consumer Services, 73. doi:10.1016/j.jretconser.2023.103325
Zahn, M. v., Feuerriegel, S., & Kuehl, N. (2022). The Cost of Fairness in AI: Evidence from E-Commerce. Business & Information Systems Engineering, 64, 335-348. doi:10.1007/s12599-021-00716-w
Zirar, A., Imran, S., & Islam, N. (2023). Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda. Technovation, 124, 1-17. doi:10.1016/j.technovation.2023.102747
Zulaikha, S., Mohamed, H., Kurniawati, M., Rusgianto, S., & Rusmita, S. A. (2021). CUSTOMER PREDICTIVE ANALYTICS USING ARTIFICIAL. The Singapore Economic Review, 1-12.
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Copyright (c) 2024 Abdul Hamid Abdul Halim, Norol Hamiza Zamzuri, Ayu Rohaidah Ghazali

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