Existing and Prospective Artificial Intelligence Initiatives within the Business Contexts of a Developing Country - Empirical Study based on Content Analysis of Sri Lankan Public Listed Companies’ Annual Reports | IJLTEMAS
00
Days
00
Hrs
00
Min
00
Sec
Submit Your Paper

Existing and Prospective Artificial Intelligence Initiatives within the Business Contexts of a Developing Country - Empirical Study based on Content Analysis of Sri Lankan Public Listed Companies’ Annual Reports

Authors

L.M. Thilini Maheshika Kumari

Department of Finance, Faculty of Management and Finance, University of Sri Jayewardenepura (LK)

Article Information

DOI: 10.51583/IJLTEMAS.2025.140400082

Subject Category: Practical Usage of Artificial Intelligence in Business Context

Volume/Issue: 14/4 | Page No: 707-717

Publication Timeline

Submitted: 2025-05-16

Published: 2025-05-16

Abstract

Abstract: Artificial Intelligence (AI) is considered as one of evolutionary technologies, which enhances the efficient management of different business and industrial contexts, while having its own risks and limitations as well.  Even though the developed countries are significantly utilizing AI technologies, practical usage of AI applications within developing countries including Sri Lanka is considerably lower. With the context of Sri Lanka holds a significantly lower rank in most of AI based global rankings indices and contains considerably lower amount of AI based research, this study is aiming to identify the existing and prospective AI applications within Sri Lankan businesses. Annual reports of 279 public listed companies which belongs to 20 industry groups have been studied to identify the reported contents relevant to existing and prospective AI usage, among which only 26 companies contained the relevant content. Through the content analysis, current and prospective AI usage within different industry groups in Sri Lanka have been identified and elaborated within this report.

Keywords

Artificial Intelligence, Business Innovation, Business Management, Practical Usage of AI, Automation

Downloads

References

1. 1. Tortoise Media Global AI Index. (2024). The Global AI Index. Retrieved from Tortoise Media: https://www.tortoisemedia.com/data/global-ai#rankings [Google Scholar] [Crossref]

2. 2. Aslam, R. (2024). AI in Educational Policy: Shaping Regulations for Responsible and Effective Use. Journal of AI in Education: Innovations, Opportunities, Challenges, and Future Directions, 1(4), 19-29. Retrieved from https://researchcorridor.org/index.php/jaieicfd/article/view/250 [Google Scholar] [Crossref]

3. 3. Avi Goldfarb, D. T. (2019). Artificial Intelligence and International Trade. The Economics of Artificial Intelligence: An Agenda (pp. 463-492). University of Chicago Press. Retrieved from http://www.nber.org/chapters/c14012 [Google Scholar] [Crossref]

4. 4. Benjamin Cheatham, K. J. (2019). Confronting the risks of artificial intelligence. Mckinsey Quarterly, 1-9. Retrieved from https://www.sipotra.it/wp-content/uploads/2019/05/Confronting-the-risks-of-artificial-intelligence.pdf [Google Scholar] [Crossref]

5. 5. Clea, B. (2019). AI cheerleaders: Public relations, neoliberalism and artificial intelligence. Public Relations Inquiry, 8(2), 109-125. Retrieved from https://research.gold.ac.uk/id/eprint/25962/1/AI-Neoliberalism-PR-Jan2019%20%281%29.pdf [Google Scholar] [Crossref]

6. 6. Colombo Stock Exchange. (2025). Listed Company Directory. Retrieved from www.cse.lk: https://www.cse.lk/pages/listed-company/listed-company.component.html?status=2 [Google Scholar] [Crossref]

7. 7. Escobar S, S. D. (2022). Artifcial Intelligence in Canada. In:Munoz J, Maurya A (eds) International Perspectives on Artifcial Intelligence. Anthem Press. [Google Scholar] [Crossref]

8. 8. G.Cupchik. (2001). Constructivist realism: An ontology that encompasses positivist and constructivist approaches to the social sciences. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 2(1). [Google Scholar] [Crossref]

9. 9. I. Etikan, S. A. (2015). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. doi:https://doi.org/10.11648/j.ajtas.20160501.11 [Google Scholar] [Crossref]

10. 10. International Monetary Fund. (2023). AI Preparedness Index. Retrieved from www.imf.org: https://www.imf.org/external/datamapper/AI_PI@AIPI/ADVEC/EME/LIC/LKA [Google Scholar] [Crossref]

11. 11. International Monetary Fund. (2023). AI Preparedness Index (AIPI). [Google Scholar] [Crossref]

12. 12. J.T. Santoso, A. B. (2024). Enhancement of Internal Business Process Using Artificial Intelligence. Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI, 13(3). doi:https://doi.org/10.23887/janapati.v13i3.79242 [Google Scholar] [Crossref]

13. 13. Jasmin Praful Bharadiya, R. K. (2023). Rise of Artificial Intelligence in Business and Industry. Journal of Engineering Research and Reports, 25(3), 85-103. doi:10.9734/JERR/2023/v25i3893 [Google Scholar] [Crossref]

14. 14. Johnson, J. (2019). Artificial Intelligence & Future Warfare: Implications for International Security. Defense & Security Analysis, 35(2), 147-169. Retrieved from https://doras.dcu.ie/25553/1/Defense%20&%20Security%20JamesJohnson%20(2019)%20.pdf [Google Scholar] [Crossref]

15. 15. K. Khalifa, M. A.-H. (2023). The Factors Affecting the Adoption of Artifcial Intelligence Technologies in Organizations. Technological Sustainability and Business Competitive Advantage, Internet of Things. doi:https://doi.org/10.1007/978-3-031-35525-7_15 [Google Scholar] [Crossref]

16. 16. Kaushik, D. P. (2022). Role and Application of Artificial Intelligence in Business Analytics: A Critical Evaluation. International Journal For Global Academic & Scientific Research (IJGASR), 1(3), 1-11. doi:Doi : https://doi.org/10.55938/ijgasr.v1i3.15 [Google Scholar] [Crossref]

17. 17. Kresimir Buntak, M. K. (2021). Application of Artificial Intelligence in the business. International journal for quality research, 15(02), 403-416. [Google Scholar] [Crossref]

18. 18. L.Gillam, D. (2022). Inductive content analysis: A guide for beginning qualitative researchers. Focus on Health Professional Education: A Multi-Professional Journal, 23(1), 111-127. [Google Scholar] [Crossref]

19. 19. M.Bevir, R. (2012). Interpretivism and the analysis of traditions and practices. Critical policy studies, 6(2), 201-208. [Google Scholar] [Crossref]

20. 20. M.F.Aslam, B. (2024). Artificial Intelligence and International Trade Laws: In Light of Trade Policy and Data Sharing. Business Law Review, 45(2), 48-55. doi:https://doi.org/10.54648/bula2024007 [Google Scholar] [Crossref]

21. 21. Manu Sharma, S. S. (2022). Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy. Government Information Quarterly, 39(4), 101624. doi:https://doi.org/10.1016/j.giq.2021.101624 [Google Scholar] [Crossref]

22. 22. Mayumi, F. (2018, July/August). Society 5.0: Aiming for a new human-centered society. Japan spotlight, 27(5), pp. 47-50. [Google Scholar] [Crossref]

23. 23. Ministry of Communications and Innovation Technology (Egypt) . (2021). Egypt national AI strategy. https://mcit.gov.eg. [Google Scholar] [Crossref]

24. 24. Ministry of Digital Economy, Sri Lanka. (2024). Artificial Intelligence in Sri Lanka. [Google Scholar] [Crossref]

25. 25. Olajide Ore, M. S. (2021). Opportunities and risks of artificial intelligence in recruitment and selection. International Journal of Organizational Analysis, 30(6), 1771-1782. doi:DOI 10.1108/IJOA-07-2020-2291 [Google Scholar] [Crossref]

26. 26. Oxfordinsights.com. (2024). Government Al Readiness Index 2024. Retrieved from oxfordinsights.com: https://oxfordinsights.com/wp-content/uploads/2024/12/2024-Government-AI-Readiness-Index-2.pdf [Google Scholar] [Crossref]

27. 27. P.Bhattacharya, S. (2019). Exploring ai-enabled intelligent tutoring system in the vocational studies sector in uae. 2019 Sixth HCT Information Technology Trends (ITT) (pp. 230-233). ieeexplore.ieee.org. [Google Scholar] [Crossref]

28. 28. P.Srinivasan, R. A. (2015). Narrative Analysis of Annual Reports - A Study of Communication Efficiency. SSRN Electronic Journal. doi:10.2139/ssrn.2611890. [Google Scholar] [Crossref]

29. 29. S. Alsheiabni, Y. C. (2019). Factors Inhibiting the Adoption of Artificial Intelligence at organizational-level: A Preliminary Investigation. Americas conference on information systems (pp. 1-10). Association for Information Systems. [Google Scholar] [Crossref]

30. 30. S.A. Alsheibani, C. M. (2020). Reimagining the Strategic Management of Artificial Intelligence:. Americas Conference on Information Systems. Retrieved from https://aisel.aisnet.org/amcis2020/is_leadership/is_leadership/4/ [Google Scholar] [Crossref]

31. 31. S.Chatterjee. (2020). AI strategy of India: policy framework, adoption challenges and actions for government. Transforming Government: People, Process and Policy, 14(5), 757-775. doi:https://doi.org/10.1108/TG-05-2019-0031 [Google Scholar] [Crossref]

32. 32. Slattery, P. S. (2024). The AI Risk Repository: A Comprehensive Meta-Review, Database, and Taxonomy of Risks from Artificial Intelligence. doi:https://doi.org/10.48550/arXiv.2408.12622 [Google Scholar] [Crossref]

33. 33. T.H. Nguyen, V. T. (2022). Critical Factors Affecting the Adoption of Artificial Intelligence: An Empirical Study in Vietnam. Journal of Asian Finance, Economics and Business, 9(5), 225-237. doi:10.13106/jafeb.2022.vol9.no5.0225 [Google Scholar] [Crossref]

34. 34. Tarafdar, M. C. (2019). Using AI to enhance business operations. MIT Sloan Management Review, 60(4). Retrieved from https://sloanreview.mit.edu/article/using-ai-to-enhance-business-operations/ [Google Scholar] [Crossref]

35. 35. Tucker, C. (2019). Privacy, Algorithms, and Artificial Intelligence. The Economics of Artificial Intelligence: An Agenda (pp. 423-437). University of Chicago Press. Retrieved from http://www.nber.org/chapters/c14011 [Google Scholar] [Crossref]

36. 36. Uyar, A. (2019). Evolution of annual report: A longitudinal investigation between 1973 and 2015. Strategic Change Special issue: Sharing Economy, Social Enterprises and sustainable global market, 28(6). doi:https://doi.org/10.1002/jsc.2303 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles

Engineering,
Management &
Applied Science
Journal
(IJLTEMAS)
Published by RSIS International
Tower B, Suncity Success Tower
Golf Course Ext Rd, Sector 65
Gurugram, Haryana 122101, India
© 2026 IJLTEMAS · RSIS International. Published under CC BY 4.0. ISSN 2278-2540.