Competency Mapping in the Era of Artificial Intelligence
A Tool for Achieving High Performance in Software Development Sector, Pakistan
DOI:
https://doi.org/10.5281/zenodo.17370258Abstract
Abstract Views: 426
This study focuses on competency mapping in the era of Artificial Intelligence (AI), aiming to identify the challenges in competency mapping and design a Competency Mapping Model for managers to achieve high performance in Pakistan’s IT sector (software development). The rapid advancement of AI has transformed global IT operations, creating a need for evolving competencies. Using a qualitative grounded theory approach with semi-structured interviews analysed through NVivo, the study identified that AI-powered tools enhance competency mapping by linking competencies with skills, detecting skill gaps, and integrating performance data to identify development needs. Continuous training and learning programs can then address these gaps, foster adaptability and align individual growth with organisational objectives. This research paper proposes a dynamic, AI-driven competency mapping model where skills, competencies, performance, and training are continuously monitored to adapt to technological transformations, AI-driven skills shifts, and evolving organisational needs, ultimately driving high performance. In Pakistan, IT organisations must strategically align workforce skills and competencies with emerging technological demands to remain competitive.
Keywords:
Artificial intelligence, Competency mapping, High performance, Software development sectorReferences
Ali, S. M. F., Kazi, A. K., & Khan, F. A. (2024). Leveraging AWS for Innovation: Exploring AI-Driven Cognitive Capabilities and Organizational Performance in Pakistan. Annals of Human and Social Sciences, 5(4), 417-434.
Baptista, R., Gonçalves, R., Coelho, A., & de Carvalho, C. V. (2013). Methodology for creating a competences certification correlation matrix. In ICERI2013 Proceedings (pp. 2522-2532). IATED.
Bemmami, K. E., Maire, J. L., Gzara, L., Courtin, C., & Pouydebat, O. (2021). Toward a new model of competences in work situations. IFAC-PapersOnLine, 54(1), 1150-1155. https://doi.org/10.1016/j.ifacol.2021.08.206
Bhanu, M. V. V., & Sivakalyankumar, E. (2022). Employee development through competency mapping: A conceptual study. IOSR Journal of Business and Management, 24, 42-53.
Dastane, O., Turner, J., & Nankervis, A. (2024). The trajectory of artificial intelligence for competency-based personalised learning: past, present and future. The International Journal of Information and Learning Technology, 41(5), 473-489. https://doi.org/10.1108/IJILT-07-2024-0162
Dutta, D., Mishra, S. K., & Budhwar, P. (2022). Ethics in competency models: A framework towards developing ethical behaviour in organisations. IIMB Management Review, 34(3), 208-227. https://doi.org/10.1016/j.iimb.2022.10.002
El Asame, M., & Wakrim, M. (2018). Towards a competency model: A review of the literature and the competency standards. Education and Information Technologies, 23(1), 225-236. https://doi.org/10.1007/s10639-017-9596-z
Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational Research Methods, 16(1), 15-31. https://doi.org/10.1177/1094428112452151
Hayton, J. C., & Kelley, D. J. (2006). A competency-based framework for promoting corporate entrepreneurship. Human Resource Management, 45(3), 407-427. https://doi.org/10.1002/hrm.20118
Kart, M., & Şimşek, H. (2024). Defining competencies in curriculum and instruction and developing a new competency model. Humanities and Social Sciences Communications, 11(1), 1-11. https://doi.org/10.1057/s41599-024-03917-2
Kaur, J., Madaan, G., Qazi, S., & Bhalla, P. (2023). An explorative factor analysis of competency mapping for IT professionals. Administrative Sciences, 13(4), 98. https://doi.org/10.3390/admsci13040098
Kipper, L. M., Iepsen, S., Dal Forno, A. J., Frozza, R., Furstenau, L., Agnes, J., & Cossul, D. (2021). Scientific mapping to identify competencies required by industry 4.0. Technology in Society, 64, 101454. https://doi.org/10.1016/j.techsoc.2020.101454
Mueller-Frommeyer, L. C., Aymans, S. C., Bargmann, C., Kauffeld, S., & Herrmann, C. (2017). Introducing competency models as a tool for holistic competency development in learning factories: Challenges, example and future application. Procedia Manufacturing, 9, 307-314. https://doi.org/10.1016/j.promfg.2017.04.015
Porvazník, J., Ljudvigová, I., & Čajková, A. (2018). Holistic competence of leadership and managerial subjects. Politické vedy, (2), 56-77.
Pothula, V. K., Naredla, S. K., Manoharan, G., & Gupta, D. (2024). A study on the Effectiveness of Competency Mapping in Software Companies. Preprints. https://doi.org/10.20944/preprints202406.1745.v1
Rama, L., Yashoda, L., Babitha, B. S., & Kiran Prabhu, D. P. (2022). A Correlation Study in Mapping Competencies and Employee Performance in Information Technology Sector. Journal of Xian Shiyou University, Natural Sciences Edition, 65(06), 112-125. https://doi.org/10.17605/OSF.IO/FYV83
Redmond, E. (2013). Competency models at work: The value of perceived relevance and fair rewards for employee outcomes. Human Resource Management, 52(5), 771-792. https://doi.org/10.1002/hrm.21560
Rethans, J. J., Norcini, J. J., Baron‐Maldonado, M., Blackmore, D., Jolly, B. C., LaDuca, T., ... & Southgate, L. H. (2002). The relationship between competence and performance: Implications for assessing practice performance. Medical education, 36(10), 901-909. https://doi.org/10.1046/j.1365-2923.2002.01316.x
Santana, M., & Díaz-Fernández, M. (2023). Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives. Review of Managerial Science, 17(6), 1971-2004. https://doi.org/10.1007/s11846-022-00613-w
Sinha, D., Sinha, S., & Singh, K. (2017). Applying Competency Mapping In The Information Technology Sector. Global HRM Review, 86.
Soumelidou, A., & Tsohou, A. (2024). Validation and extension of two domain-specific information privacy competency models. International Journal of Information Security, 23(3), 2437-2455. https://doi.org/10.1007/s10207-024-00843-x
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