Main Article Content

Abstract

Artificial Intelligence (AI) is undoubtedly one of the most evolving technologies, finding its application in almost every aspect of human activity. At the individual, business, and corporate organization levels, AI transforms lives and business processes and affects how people work. There is extensive literature on AI’s potential positive contribution to organizational performance. However, there is a lack of research on how to leverage AI to effectively achieve organizational performance. This paper seeks to fill that gap by 1) identifying the AI components driving organizational performance and then 2) designing a conceptual framework for integrating AI into an organization to achieve higher performance. A significant limitation of this work is the lack of implementation and testing of the framework, which we will address in future research.

Keywords

Artificial intelligence organizational performance automation decision-making marketing innovation

Article Details

Author Biographies

Lossan Bonde, Adventist University of Africa, Kenya

Lossan Bonde is currently the Dean of the School of Postgraduate Studies at the Adventist University of Africa (AUA). He holds a Ph.D. in Computer Science from the University of Science and Technologies of Lille, France. Before joining AUA, he worked at “Université Adventiste Cosendai” from 2007 to 2016, where he served as the Dean of the School of Business and Computer Science. His research interests are in the fields of Artificial Intelligence and the Internet of Things. His current research works focus on building intelligent systems for digital transformations.

Musa Nyakora, Adventist University of Africa

Prof. Musa Nyakora is the Head of Social Sciences Department at the School of Postgraduate Studies,  Adventist University of Africa (AUA). He holds a Doctoral Degree in Organizational Leadership from Cebu Doctors’ University in the Philippines. Before joining AUA, he worked with Mount Kenya University as the Campus Director (Kigali Campus and Nairobi Campuses). He has published more than four University level textbooks and several research articles in various peer-reviewed journals. He is also a full member of different professional bodies, including the Kenya Institute of Management, the Institute of Human Resource Management  Kenyan, and the Global Institute of Organizational Development, USA.

How to Cite
Bonde, L., & Nyakora, M. (2023). Achieving Organizational Performance in Profit-Oriented Businesses Through the Use of Artificial Intelligence. Pan-African Journal of Education and Social Sciences, 4(1). Retrieved from https://journals.aua.ke/pajes/article/view/254

References

  1. Abualoush, S., Masa’deh, R., Bataineh, K., & Alrowwad, A. (2018). The role of knowledge management process and intellectual capital as intermediary variables between knowledge management infrastructure and organization performance. Interdisciplinary Journal of Information, Knowledge, and Management, 13, 279–309. https://doi.org/10.28945/4088
  2. Ballamudi, K. R. (2019). Artificial Intelligence: Implication on Management. Global Disclosure of Economics and Business, 8(2), 105–118. https://doi.org/10.18034/gdeb.v8i2.540
  3. Bititci, U., Garengo, P., Dörfler, V., & Nudurupati, S. (2012). Performance Measurement: Challenges for Tomorrow. International Journal of Management Reviews, 14(3), 305–327. https://doi.org/10.1111/j.1468-2370.2011.00318.x
  4. Bosco, M. V. (2020). A Study on Artificial Intelligence Interaction with Organizational Performance. International Journal of Research in Engineering, Science and Management, 3(2), 483-486.
  5. Burton, S. (2019). Grasping the cyber-world: artificial intelligence and human capital meet to inform leadership. International Journal of Commerce and Management, VII, 707–759. http://ijecm.co.uk/
  6. De Cremer, D. (2019). Leading artificial intelligence at work: A matter of facilitating human-algorithm cocreation. Journal of Leadership Studies, 13(1), 81–83. https://doi.org/10.1002/jls.21637
  7. de Waal, A. A. (2007). The characteristics of a high performance organization. Business Strategy Series, 8(3), 179–185. https://doi.org/10.1108/17515630710684178
  8. Demeke, B., & Tao, C. (2020). Concept & perspectives of organizational performance measurement: Literature review. International Journal of Academic Multidisciplinary Research (IJAMR), 4(8), 89–96. www.ijeais.org/ijamr
  9. Dimiduk, D. M., Holm, E. A., & Niezgoda, S. R. (2018). Perspectives on the impact of machine learning, deep learning, and artificial intelligence on materials, processes, and structures engineering. Integrating Materials and Manufacturing Innovation, 7(3), 157–172. https://doi.org/10.1007/s40192-018-0117-8
  10. Dimitrieska, S., Stankovska, A., & Efremova, T. (2018). Artificial intelligence and marketing. Entrepreurship, 6(2), 298-304.
  11. Franco-Santos, M., Kennerley, M., Micheli, P., Martinez, V., Mason, S., Marr, B., Gray, D., & Neely, A. (2007). Towards a definition of a business performance measurement system. International Journal of Operations and Production Management, 27(8), 784–801. https://doi.org/10.1108/01443570710763778
  12. Holtel, S. (2016). Artificial intelligence creates a wicked problem for the enterprise. Procedia Computer Science, 99, 171–180. https://doi.org/10.1016/j.procs.2016.09.109
  13. Hubbard, G. (2009). Measuring organizational performance: beyond the triple bottom line. Business Strategy and the Environment, 18(3), 177–191. https://doi.org/10.1002/BSE.564
  14. Hyacinth, B. T. (2017). The future of leadership: Rise of automation, robotics and artificial intelligence.MBA Caribbean Organisation.
  15. Joiner, I. A. (2018). Emerging library technologies: It’s not just for geeks. Chandos Publishing
  16. Jones, W. A. (2018). Artificial Intelligence and leadership: A few thoughts, a few questions. Journal of Leadership Studies, 12(3), 60–62. https://doi.org/10.1002/JLS.21597
  17. Kaur, P., & Mahajan, R. (2022). Artificial Intelligence enablement’s diffusion and impact on organizational performance: A case study of digital healthcare service providers. Journal of Pharmaceutical Negative Results, 13, 120–124. https://doi.org/10.47750/pnr.2022.13.S05.15
  18. Makridakis, S. (2017). The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46–60. https://doi.org/10.1016/j.futures.2017.03.006
  19. Mikalef, P., Fjørtoft, S. O., & Torvatn, H. Y. (2019). Developing an artificial intelligence capability: A Theoretical framework for business value. Lecture Notes in Business Information Processing, 373 LNBIP, 409–416. https://doi.org/10.1007/978-3-030-36691-9_34
  20. Moldenhauer, L., & Londt, C. (2019). Leadership, artificial intelligence and the need to redefine future skills development. Journal of Leadership, Accountability and Ethics, 16(1), 54-60. https://doi.org/10.33423/jlae.v16i1.1363
  21. MR, A. (2021). Artificial intelligence and marketing. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(4), 1247–1256. https://doi.org/10.17762/turcomat.v12i4.1184
  22. Muhlroth, C., & Grottke, M. (2022). Artificial intelligence in innovation: How to spot emerging trends and technologies. IEEE Transactions on Engineering Management, 69(2), 493–510. https://doi.org/10.1109/TEM.2020.2989214
  23. Naqvi, A. (2017). Responding to the will of the machine: Leadership in the age of artificial intelligence. Journal of Economics Bibliography, 4(3), 244–248. https://doi.org/10.1453/JEB.V4I3.1436
  24. Olan, F., Ogiemwonyi Arakpogun, E., Suklan, J., Nakpodia, F., Damij, N., & Jayawickrama, U. (2022). Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research, 145, 605–615. https://doi.org/10.1016/J.JBUSRES.2022.03.008
  25. Paschen, U., Pitt, C., & Kietzmann, J. (2020). Artificial intelligence: Building blocks and an innovation typology. Business Horizons, 63(2), 147–155. https://doi.org/10.1016/j.bushor.2019.10.004
  26. Peifer, Y., Jeske, T., & Hille, S. (2022). Artificial intelligence and its impact on leaders and leadership. Procedia Computer Science, 200, 1024–1030. https://doi.org/10.1016/j.procs.2022.01.301
  27. Peterson, W., Gijsbers, G. and Wilks, M. (2003). An organizational performance assessment system for agricultural research organizations: Concepts, methods, and procedures. ISNAR Research Management Guidelines No. 7, International Service for National Agricultural Research, The Hague.
  28. Plastino, E., & Purdy, M. (2018). Game changing value from artificial intelligence: Eight strategies. Strategy and Leadership, 46(1), 16–22. https://doi.org/10.1108/SL-11-2017-0106
  29. Samani, H. A., Koh, J. T. K. V., Saadatian, E., & Polydorou, D. (2012). Towards robotics leadership: An analysis of leadership characteristics and the roles robots will inherit in future human society. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7197 LNAI(PART 2), 158–165. https://doi.org/10.1007/978-3-642-28490-8_17
  30. Sangiorgi, D., & Siboni, B. (2017). The disclosure of intellectual capital in Italian universities: What has been done and what should be done. Journal of Intellectual Capital, 18(2), 354–372. https://doi.org/10.1108/JIC-09-2016-0088
  31. Sharma, Z., Pranav, V., Chauhan, A., Ashok, L., D’Souza, A., Malarout, N., & Kamath, R. (2019). The impact of artificial intelligence on healthcare. Indian Journal of Public Health Research and Development, 10(8), 189–194. https://doi.org/10.5958/0976-5506.2019.01876.X
  32. Shekhar, S. S. (2019). Artificial intelligence in automation. Artificial Intelligence, 3085(06), 14–17. www.rrjournals.com
  33. Smith, A. M., & Green, M. (2018). Artificial intelligence and the role of leadership. Journal of Leadership Studies, 12(3), 85–87. https://doi.org/10.1002/jls.21605
  34. Titareva, T. (2021). Leadership in an artificial intelligence era. In #LEADCC: Leading Change Conference. https://commons.lib.jmu.edu/leadcc/2021/1A-Tech-and-Leadership/1
  35. Unhelkar, B., & Gonsalves, T. (2020). Enhancing artificial intelligence decision making frameworks to support leadership during business disruptions. IT Professional, 22(6), 59–66. https://doi.org/10.1109/MITP.2020.3031312
  36. Verganti, R., Vendraminelli, L., & Iansiti, M. (2020). Innovation and design in the age of artificial intelligence. Journal of Product Innovation Management, 37(3), 212–227. https://doi.org/10.1111/jpim.12523
  37. Vlačić, B., Corbo, L., Costa e Silva, S., & Dabić, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda. Journal of Business Research, 128, 187–203. https://doi.org/10.1016/j.jbusres.2021.01.055
  38. Watkins, S. (2018). Artificial intelligence: A boon or a bane for educational leaders in educational research. Journal of Leadership Studies, 12(3), 74–75. https://doi.org/10.1002/jls.21601
  39. Yao, M., Zhou, A., & Jia, M. (2018). Applied artificial intelligence: A handbook for business leaders. https://dl.acm.org/doi/abs/10.5555/3279651