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.
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Article Details
References
- 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
- 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
- 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
- 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.
- 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/
- 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
- 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
- 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
- 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
- Dimitrieska, S., Stankovska, A., & Efremova, T. (2018). Artificial intelligence and marketing. Entrepreurship, 6(2), 298-304.
- 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
- 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
- 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
- Hyacinth, B. T. (2017). The future of leadership: Rise of automation, robotics and artificial intelligence.MBA Caribbean Organisation.
- Joiner, I. A. (2018). Emerging library technologies: It’s not just for geeks. Chandos Publishing
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
- 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
- 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
- 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
- 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
- Shekhar, S. S. (2019). Artificial intelligence in automation. Artificial Intelligence, 3085(06), 14–17. www.rrjournals.com
- 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
- 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
- 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
- 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
- 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
- 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
- Yao, M., Zhou, A., & Jia, M. (2018). Applied artificial intelligence: A handbook for business leaders. https://dl.acm.org/doi/abs/10.5555/3279651
References
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
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
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
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.
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/
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
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
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
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
Dimitrieska, S., Stankovska, A., & Efremova, T. (2018). Artificial intelligence and marketing. Entrepreurship, 6(2), 298-304.
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
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
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
Hyacinth, B. T. (2017). The future of leadership: Rise of automation, robotics and artificial intelligence.MBA Caribbean Organisation.
Joiner, I. A. (2018). Emerging library technologies: It’s not just for geeks. Chandos Publishing
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
Shekhar, S. S. (2019). Artificial intelligence in automation. Artificial Intelligence, 3085(06), 14–17. www.rrjournals.com
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
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
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
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
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
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
Yao, M., Zhou, A., & Jia, M. (2018). Applied artificial intelligence: A handbook for business leaders. https://dl.acm.org/doi/abs/10.5555/3279651