DOI: 10.21522/TIJMG.2015.11.01.Art002
Authors : Rajnish Harjika
Abstract:
Artificial
Intelligence (AI) has revolutionized the systems of organizations across the
world during the last two decades or so. Recently, Generative Artificial
Intelligence (GAI) has been discussed, debated, and studied in professional and
academic research arenas. Various advantages and positive sides of GAI have
been reported. However, empirically the perceptions and stance of organizations
on the adoption of GAI has not been fully explored. Moreover, there is evidence
that many organizations are hesitating to adopt GAI, but there are limited
studies on reporting the actual challenges of organizations, particularly the
challenges of business organizations while adopting GAI. Additionally,
empirically it is yet to bring evidence of why certain challenges exist and
what conditions are responsible for adopting challenges of GAI in business
organizations. Therefore, this study is filling these gaps by exploring the
challenges of business organizations while adopting GAI and investigating the
driving factors for these challenges by looking at the case of business
organizations in Canada. This research employs a case study method to study 20
Canadian Business organizations where GAI has potentially been used or the case
of GAI is being considered for its adoption. The study will provide empirical
evidence on the potential of GAI to enhance the competitive advantage of
business organizations and the challenges that must be addressed to leverage
the technology successfully. Moreover, the study will contribute to the
existing body of knowledge on the implications and the use of GAI for global
markets and the business world.
References:
[1].
Agrawal, A., Gans, J., Goldfarb, A., 2022,
ChatGPT and how AI disrupts industries. Harvard business review. https://hbr.org/2022/12/chatgpt-and-how-ai-disrupts-industries.
[2].
Alshaikhi, A. M., Abdullatif, A. A., Badwi, M. A., &
Alsobayel, A. A., 2021, Effects of storage period, marketing channels, and
season on internal and external quality of commercial table eggs marketed in
Riyadh City (Saudi Arabia). Brazilian Journal of Poultry Science, 23.
[3].
Amit, R., Zott, C., 2020, Business model
innovation strategy: transformational concepts and tools for entrepreneurial
leaders, 1st edn. Wiley, New York
[4].
Batool, T., Abbas, S., Alhwaiti, Y., Saleem, M., Ahmad, M.,
Asif, M., & Elmitwal, N. S., 2021, Intelligent model of ecosystem for smart
cities using artificial neural networks. Intelligent Automation &
Soft Computing, 30(2).
[5].
Bilgihan, A., Dogru, T., Hanks, L., Line,
N., & Mody, M., 2024, The GAI marketing model: A conceptual framework and
future research directions. International Journal of Hospitality
Management, 123, 103929. https://doi.org/10.1016/j.ijhm.2024.103929
[6].
Braun, V., and Clarke, V., 2006, ‘Using
Thematic Analysis in Psychology’, Qualitative Research in Psychology, 3:
77–101.
[7].
Chan, A., 2023, GPT-3 and InstructGPT: technological
dystopianism, utopianism, and “Contextual” perspectives in AI ethics and
industry. AI and Ethics, 3(1), 53-64.
https://doi.org/10.1007/s43681-022-00148-6.
[8].
Choi, T. M., Wallace, S. W., & Wang,
Y., 2018, Big data analytics in operations management. Production and
operations management, 27(10), 1868-1883. https://doi.org/10.1111/poms.12838
[9].
Chowdhury, R. H., 2024, AI-driven
business analytics for operational efficiency. World Journal of
Advanced Engineering Technology and Sciences, 12(2), 535-543.
DOI: https://doi.org/10.30574/wjaets.2024.12.2.0329
[10]. Daly,
M., & Robinson, E., 2021, Willingness to vaccinate against COVID-19 in the
US: representative longitudinal evidence from April to October 2020. American
journal of preventive medicine, 60(6), 766-773.
[11]. Dogru, T., Line, N.,
Mody, M., Hanks, L., Abbott, J. A., Acikgoz, F., & Zhang, T., 2023,
Generative artificial intelligence in the hospitality and tourism industry:
developing a framework for future research. Journal of Hospitality
& Tourism Research, 10963480231188663.
[12]. Dwivedi, Y. K., Kshetri,
N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., & Wright, R., 2023,
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities,
challenges and implications of generative conversational AI for research,
practice and policy. International
Journal of Information Management,
71, 102642.
[13]. Feuerriegel,
S., Hartmann, J., Janiesch, C., & Zschech, P., 2024, Generative ai. Business
& Information Systems Engineering, 66(1), 111-126. https://doi.org/10.1007/s12599-023-00834-7
[14]. Floridi, L., &
Cowls, J., 2019, A Unified Framework of Five Principles for AI in Society. Harvard
Data Science Review, 1(1), https://doi.org/10.1162/99608f92.8cd550d1.
[15]. George,
A. S., & George, A. H., 2023, A review of ChatGPT AI's impact on several
business sectors. Partners universal international innovation journal, 1(1),
9-23. DOI: https://doi.or/10.5281/zenodo.7644359
[16]. Gomez-Fernandez,
M., Higley, K., Tokuhiro, A., Welter, K., Wong, W. K., & Yang, H., 2020,
Status of research and development of learning-based approaches in nuclear
science and engineering: A review. Nuclear Engineering and
Design, 359, 110479. https://doi.org/10.1016/j.nucengdes.2019.110479
[17]. Gordijn,
B., ten Have, H., 2023, ChatGPT: evolution or revolution? Med Health
Care Philos 26(1), 1–2. https://doi.org/10.1007/S11019-023-10136-0/METRICS
[18]. Gursoy,
D., Li, Y., & Song, H., 2023, ChatGPT and the
hospitality and tourism industry: an overview of current trends and future
research directions. Journal of Hospitality Marketing & Management, 32(5),
579-592.
[19]. Hu, K.,
2023, ChatGPT sets record for fastest-growing user base–analyst note. Reuters.
https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01/
[20]. Iskender, A., 2023, Holy
or unholy? Interview with open AI’s ChatGPT. European Journal of Tourism
Research, 34, 3414-3414. https://doi.org/10.54055/ejtr.v34i.3169
[21]. Jaakkola, H., Henno, J.,
Mäkelä, J., & Thalheim, B., 2019, Artificial intelligence yesterday, today
and tomorrow. In 2019 42nd International Convention on Information and
Communication Technology, Electronics and Microelectronics
(MIPRO) (pp. 860-867). IEEE.
[22]. Kanbach,
D. K., Heiduk, L., Blueher, G., Schreiter, M., & Lahmann, A., 2024, The
GenAI is out of the bottle: generative artificial intelligence from a business
model innovation perspective. Review of Managerial Science, 18(4),
1189-1220. https://doi.org/10.1007/s11846-023-00696-z
[23]. Konrad,
A., Cai, K., 2023, Inside ChatGPT´s breakout moment and the reace to put AI to
work. Forbes. https://www.forbes.com/sites/alexkonrad/2023/02/02/inside-chatggpts-breakout-moment-andthe-race-for-the-future-of-ai/?sh=5d86716b240b.
[24]. Mondal, S., Das, S., & Vrana, V. G., 2023, How to bell the cat? A theoretical review
of generative artificial intelligence towards digital disruption in all walks
of life. Technologies, 11(2), 44. https://doi.org/10.3390/technologies11020044
[25]. Patel,
R., & Davidson, B., 2011, Forskningsmetodikens grunder: Att planera,
genomföra och rapportera enundersökning. (4., [uppdaterade] uppl. ed.). Lund:
Studentlitteratur.
[26]. Regona,
M., Yigitcanlar, T., Xia, B., & Li, R. Y. M., 2022, Opportunities and Adoption Challenges of AI in the
Construction Industry: A PRISMA Review. Journal of Open Innovation:
Technology, Market, and Complexity, 8(1).
[27]. Reshetnikova, M. S.,
& Mikhaylov, I. A., 2023, Artificial Intelligence Development: Implications
for China. Montenegrin Journal of Economics, 19(1), 139-152.
[28]. Siau, K., & Wang,
W., 2020, Artificial intelligence (AI) ethics: ethics of AI and ethical AI. Journal
of Database Management (JDM), 31(2), 74-87. https://doi.org/10.4018/JDM.2020040105
[29]. Van Dis, E. A., Bollen,
J., Zuidema, W., van Rooij, R., & Bockting, C. L., 2023, ChatGPT: Five
priorities for research. Nature, 614(7947), 224-226.
https://doi.org/10.1038/d41586-023-00288-7
[30]. 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), 100002. https://doi.org/10.1016/j.jjimei.2020.100002
[31]. Wach, K., Duong, C. D.,
Ejdys, J., Kazlauskaitė, R., Korzynski, P., Mazurek, G., & Ziemba, E.,
2023, The dark side of generative artificial intelligence: A critical analysis
of controversies and risks of ChatGPT. Entrepreneurial Business
and Economics Review, 11(2), 7-24.
[32]. Wamba-Taguimdje,
S. L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E.,
2020, Influence of artificial intelligence (AI) on firm performance: the
business value of AI-based transformation projects. Business Process
Management Journal, 26(7), 1893-1924.
[33]. Wolterink,
J. M., Mukhopadhyay, A., Leiner, T., Vogl, T. J., Bucher, A. M., & Išgum,
I., 2021, Generative adversarial networks: A primer for radiologists. Radiographics,
41(3), 840-857.
[34]. Zhang,
C., Zhang, C., Zheng, S., Qiao, Y., Li, C., Zhang, M., & Hong, C. S., 2023,
A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to
gpt-5 all you need?. arXiv preprint arXiv:2303.11717.
[35]. Zhou, F., Mou, J., Su, Q., & Wu, Y. C. J.,
2020, How does consumers' Perception of Sports Stars' Personal Brand Promote
Consumers’ brand love? A mediation model of global brand equity. Journal
of Retailing and Consumer Services, 54, 102012. https://doi.org/10.1016/j.jretconser.2019.102012