AI CAPABILITY AND FIRM PERFORMANCE: A DYNAMIC CAPABILITIES PERSPECTIVE ON DECISION-MAKING QUALITY

Authors

  • Mr. Lovekesh Singh Assistant Professor, Manipal Academy of Higher Education (BFSI) Bangalore
  • Dr. Nihar Ranjan Agasti Asst. Professor (HR & OB), Medicaps University, Indore
  • Dr. Thiruppathi KTM Faculty, School of Maritime Management, Indian Maritime University, Chennai Campus
  • Dr. Sovik Mukherjee Assistant Professor in Economics, St. Xavier's University, Kolkata
  • Ms. Saranya P K Research scholar, Rathinam College of Arts and Science, Coimbatore

DOI:

https://doi.org/10.69980/1mwwk134

Keywords:

Performance, capability, technologies, businesses strive, Dynamic, capabilities

Abstract

In today's agile business landscape, Artificial Intelligence (AI) has emerged as a key strategic asset for companies looking to optimize business performance. Although AI investments have been increasing, not much research has focused on how AI capability can affect firm performance. Based on the Dynamic Capabilities Perspective (DCP), the present study examines the connection between the AI capability, decision-making quality, and firm performance. The study also explores the mediating effect of decision making quality between AI capability and firm performance. The design of the research used was quantitative and the respondents were 245 people who belong to organizations that are implementing technologies powered by AI. Measurement scales from previous studies were adapted to quantify the aspects of AI capability, quality of decision-making, and firm performance. Data collected were analyzed by using the software ADANCO, namely by Partial Least Squares Structural Equation Modeling (PLS-SEM). The results confirmed that the capability of AI has a positive and significant impact on decision-making quality and firm performance. The quality of the decisions also proved to impact firm performance positively. The mediation analysis verified the presence of a partial mediation between AI capability and firm performance. The study helps the existing literature by elucidating the mechanism of generating organizational value through the use of AI capability and the enhancement of managerial decision making processes. The results also offer implications for organizations looking to enhance their strategic responsiveness and competitive edge with AI-driven decision systems. AI's capabilities are opening up exciting new areas for growth in the business world, with the ability to enhance the effectiveness of decision-making and the performance of the firm.AI capabilities are increasingly a viable option for businesses in several sectors as they can improve the decision-making process and boost business performance.

References

1.Adesoga, T., Olaiya, O., Obani, O., Orji, M.-C., Orji, C., & Olagunju, O. (2024). Leveraging AI for transformative business development: Strategies for market analysis, customer insights, and competitive intelligence. International Journal of Science and Research Archive, 12(2), 799–805. https://doi.org/10.30574/ijsra.2024.12.2.1291

2.Agarwal, D. (2025). Review on the Impact of Firm Productivity Due to the Integration of AI. International Journal of Innovative Science and Research Technology, 1320–1325. https://doi.org/10.38124 /ijisrt/25aug871

3.Ahmadi, A., & Arndt, F. (2022). Dynamic Capabilities and Innovation (pp. 362–377). Routledge. https://doi.org/10.4324/9780429346033-22

4.Ahuja, N. S. (2024). AI-Driven Decision Making in Management. 7–12. https://doi.org/10.70301/conf.sbs-jabr.2024.1/1.1

5.Aini, M. N., Hanum, N. Z., Kurniawan, N. E., & Sanjaya, V. F. (2024). Pemanfaatan Teknologi Artificial Intelligence Pada Manajemen Strategi Perusahaan. JURNAL MANAJEMEN DAN BISNIS, 3(2), 69–81. https://doi.org/10.36490/jmdb.v3i2.1479

6.Asiedu, E. (2025). An Overview of the Revolution of Artificial Intelligence (AI) in Strategic Management (pp. 1–15). Bentham Science. https://doi.org/10.2174/9798898811440125010004

7.Bolton, J., Butler, F. C., & Martin, J. (2023). “Firm performance” measurement in strategic management: some notes on our performance. Journal of Management History, 30(3), 456–474. https://doi.org/10.1108/jmh-09-2023-0094

8.Deep, G. (2023). Strategic decision-making: A crucial skill for business managers. World Journal of Advanced Research and Reviews, 20(3), 1639–1643. https://doi.org/10.30574/wjarr.2023.20.3.2463

9.Engelmann, A. (2023). A performative perspective on sensing, seizing, and transforming in small- and medium-sized enterprises. Entrepreneurship & Regional Development, 36(5–6), 632–658. https://doi.org/10.1080/08985626.2023.2262430

10.Gorka, E., Baran, D., Wojak, G., Ćwiakala, M., Zupok, S., Starkowski, D., Resko, D., & Okrasa, O. (2025). The Impact of Artificial Intelligence on Enterprise Decision-Making Processes. EUROPEAN RESEARCH STUDIES JOURNAL, 28(Issue 4), 756–777. https://doi.org/10.35808/ersj/4143

11.Gupta, D. N., & Kumar Gupta, A. (2025). Business Management with Artificial Intelligence. Journal Global Value, XVI(SI), 28–34. https://doi.org/10.31995/jgv.2025.v16isi7.005

12.Han, S., Zhang, D., Zhang, H., & Lin, S. (2025). Artificial Intelligence Technology, Organizational Learning Capability, and Corporate Innovation Performance: Evidence from Chinese Specialized, Refined, Unique, and Innovative Enterprises. Sustainability, 17(6), 2510. https://doi.org/10.3390/su17062510

13.Hani, U., & Akter, S. (2024). Microfoundations of AI Empowerment Capability to Transform Organizations. Aledari, 45(170). https://doi.org/10.63355/quzr1159

14.Hassan Hussein, H. S., Moselhy Sayed Ahmed, H., & El-Mantawy, E. (2023). A proposed model for mechanisms for applying artificial intelligence to support organizational capabilities. International Journal of Multidisciplinary Studies on Management, Business, and Economy, 6(2), 119–140. https://doi.org/10.21608/ijmsbe.2024.227246.1000

15.Islam, M. M. (2026). Artificial Intelligence–Driven Predictive Analytics Framework for Data-Driven Decision Support in Complex Organizational Systems. American Journal of Data Science and Analytics, 07(03), 163–207. https://doi.org/10.63125/mexw3p37

16.Isoe, H. (2024). Artificial Intelligence (AI) tools and Human Intelligence (HI): A Double-edged Dilemma in Business Decision Making. European Journal of Business and Management. https://doi.org/10.7176/ejbm/16-9-02

17.Itodo, C., Mustapha, R., & Haruna, K. (2024). Hybridized Conceptual Model of Artificial Intelligence Capability. Kasu Journal of Computer Science, 1(1), 70–90. https://doi.org/10.47514/kjcs/2024.1.1.006

18.Kabus, J. (2025). Organizational adaptability through artificial intelligence. Ekonomika i Organizacja Logistyki, 10(2), 23–33. https://doi.org/10.22630/eiol.2025.10.2.9

19.Kalyan Kumar, R., & Keerthiga Priyatharsini, B. K. (2025). Artificial Intelligence in Business and Management: Transforming Strategies and Operations. 161–165. https://doi.org/10.34293/icaicm-25.ch023

20.Kewalramani, P., & Agnihotri, K. (2025). The role of artificial intelligence in enhancing strategic business decision-making. International Journal of Advanced Academic Studies, 7(8), 202–205. https://doi.org/10.33545/27068919.2025.v7.i8c.1673

21.Kurter, O. (2025). The Use of Artificial Intelligence for Decision-Making Process for Strategic Management. OPUS Toplum Araştırmaları Dergisi, 22(2), 195–210. https://doi.org/10.26466/opusjsr.1632110

22.Liu, Y. (David), Sun, J., Zhang, Z. (Justin), Wu, M., Sima, H., & Ooi, Y. M. (2024). How AI Impacts Companies’ Dynamic Capabilities. Research-Technology Management, 67(3), 64–76. https://doi.org/10.1080/08956308.2024.2324407

23.Mitra, A., Seetharaman, A., & Maddulety, K. (2024). Adoption of Artificial Intelligence Enabling Value Creation in Business. 213–220. https://doi.org/10.1109/raai64504.2024.10949520

24.Nasiru, A. U., Olawale, O., Abeyie, K. S. S., Ibrahim, I. O., Jamiu, I. A., & Abdullahi, M. (2025). Assessing the Impact of Artificial Intelligence on Organizational Performance: A Comparative Study of Public and Private Enterprises. World Journal of Advanced Research and Reviews, 28(2), 990–1002. https://doi.org/10.30574/wjarr.2025.28.2.3802

25.Odeibat, A. (2023). Exploring the Impact of Managerial Capabilities on the Innovation Potential of Artificial Intelligence and Organizational Capabilities: A Literature Review. Review of Applied Socio-Economic Research, 26(2). https://doi.org/10.54609/reaser.v26i2.420

26.Ortiz, J. A. S. (2023). Strategic Decision Making in Public and Private Organizations: Challenges and Solutions. 1–4. https://doi.org/10.1109/icalter61411.2023.10372949

27.Owusu, J., & Agbesi, I. S. (2025). Navigating the Dilemma of AI Integration for Organisational Performance: Insights for Contemporary Business Strategists. Pan-African Journal of Education and Social Sciences, 6(1), 49–62. https://doi.org/10.56893/pajes2025v06i01.04

28.Panpatte, S., & Takale, V. D. (2023). To Study the Decision Making Process in an Organization for its Effectiveness. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.7655610

29.Perifanis, N.-A., & Kitsios, F. (2023). Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review. Information, 14(2), 85. https://doi.org/10.3390/info14020085

30.Raina, A., Billah, M., Pradeep, D., & Howard, E. (2025). AI-Driven Decision Making Transforming Managerial Practices and Organizational Efficiency. International Journal of Economic Practices and Theories, 530–540. https://doi.org/10.52783/ijept.60

31.Rajagopal, A. (2024). Synergy Between Artificial Intelligence and Managerial Decision-Making: A Qualitative Inquiry. Academy of Management Proceedings, 2024(1). https://doi.org/10.5465/amproc.2024.17694abstract

32.Rettig, A., & Schreyögg, G. (2020). Ways Out of the Dead-End of RBV Dynamization: Dynamic Capabilities and Beyond. Academy of Management Proceedings, 2020(1), 14693. https://doi.org/10.5465/ambpp.2020.14693abstract

33.Sedky, A. (2026). Decision-Making Quality as a Strategic Enabler of Organizational Success (pp. 1–36). Igi Global Scientific. https://doi.org/10.4018/979-8-3373-9928-7.ch001

34.Sharma, R., & Reddy, B. (2024). Strategic Approaches to AI Integration in Organizations: Managing Change and Maximizing Benefits. 1–5. https://doi.org/10.1109/asiancon62057.2024.10838046

35.Sunder M, V., L.S, G., & Marathe, R. R. (2019). Dynamic capabilities. European Business Review, 31(1), 25–63. https://doi.org/10.1108/ebr-03-2018-0060

36.Teece, D. J. (2025). Dynamic Capabilities and Related Paradigms. Cambridge University. https://doi.org/10.1017/9781009232890

37.Umamaheswari, S., Valarmathi, A., Paul Dhinakaran, D., Vijai, C., Sathyakala, S., & Lakshmi, M. R. (2024). A Novel Approach of Data-Driven Strategic Decision-Making in Management: AI-Enabled Analysis of Market Trends, Competitive Intelligence, and Internal Performance Data. 96, 1–5. https://doi.org/10.1109/iconstem60960.2024.10568724

38.Wamba-Taguimdje, S.-L., Wamba, S. F., Kamdjoug, J. R. K., & Wanko, C. E. T. (2020). Impact of Artificial Intelligence on Firm Performance: Exploring the Mediating Effect of Process-Oriented Dynamic Capabilities (pp. 3–18). Springer. https://doi.org/10.1007/978-3-030-47355-6_1

39.Yaşar, T. (2024). Artificial Intelligence in Business Operations: Exploring How AI Technologies Are Reshaping Processes, Enhancing Decision-Making, and Driving Efficiency Across Various Industries. Human Computer Interaction, 8(1), 53. https://doi.org/10.62802/r78f9a37

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Published

2026-05-23