Competency Mapping Practices and Organisational Development: Evidence it Companies in Bengaluru
Abstract
Competency mapping has become an integral human resource management practice for aligning employee capabilities with organisational objectives, particularly in knowledge-intensive industries. The present study assesses competency mapping practices and examines their perceived contribution to organisational development among employees working in selected Information Technology companies in Bengaluru. A quantitative research approach was adopted using a descriptive cross-sectional survey design. Primary data were collected from 400 employees through a structured questionnaire and descriptive statistics, including mean, standard deviation and ranking analysis, were used for data analysis with IBM SPSS Statistics (Version 29). The findings show that competency mapping practices are widely adopted across the selected organisations, with Competency Identification, Skill Development and Organisational Productivity emerging as the most prominent dimensions. Employees also perceived competency mapping as making a significant contribution to organisational development through stronger strategic alignment, effective workforce utilisation, greater employee commitment and improved organisational adaptability. The study establishes the importance of competency mapping in strengthening organisational capability and supporting sustainable organisational development within the Information Technology sector.
References
Cao, C., & Zhang, Z. (2022). Machine learning-assisted competency modeling for human resource management jobs. Mobile Information Systems, 2022, Article 8380307. https://doi.org/10.1155/2022/8380307
Vijaya Rajakumar, P. T., & Yasodha, R. (2023). Employee competency and understanding capability in gear manufacturing companies in Coimbatore, Tamil Nadu. Asian Journal of Management, 14(2), 113–117. https://doi.org/10.52711/2321-5763.2023.00017
Sierdovski, M., Pilatti, L. A., & Rubbo, P. (2022). Organizational competencies in the development of environmental, social, and governance (ESG) criteria in the industrial sector. Sustainability, 14(20), 13463. https://doi.org/10.3390/su142013463
de Villiers Scheepers, M., Mulcahy, R., Fleishman, D., English, P., Burgess, J., & Crimmins, G. (2024). Digital career competencies: A co-created scale for the digital employability competencies we've overlooked. Management Learning, 55(5). https://doi.org/10.1177/09504222241231265
Campion, M. C., Schepker, D. J., Campion, M. A., & Sanchez, J. I. (2020). Competency modeling: A theoretical and empirical examination of the strategy dissemination process. Human Resource Management, 59(3), 291–306. https://doi.org/10.1002/hrm.21994
Jiang, K., Lepak, D. P., Hu, J., & Baer, J. C. (2012). How does human resource management influence organizational outcomes? A meta-analytic investigation of mediating mechanisms. Academy of Management Journal, 55(6), 1264–1294. https://doi.org/10.5465/amj.2011.0088
Takeuchi, R., Lepak, D. P., Wang, H., & Takeuchi, K. (2007). An empirical examination of the mechanisms mediating between high-performance work systems and the performance of Japanese organizations. Journal of Applied Psychology, 92(4), 1069–1083. https://doi.org/10.1037/0021-9010.92.4.1069
Hizam-Hanafiah, M., Soomro, M. A., & Abdullah, N. L. (2020). Industry 4.0 readiness models: A systematic literature review of model dimensions. Information, 11(7), 364. https://doi.org/10.3390/info11070364
Cantú-Ortiz, F. J., Galeano Sánchez, N., Garrido, L., et al. (2020). An artificial intelligence educational strategy for the digital transformation. International Journal on Interactive Design and Manufacturing (IJIDeM). https://doi.org/10.1007/s12008-020-00702-8
Raj, R., Sabin, M., Impagliazzo, J., Bowers, D., et al. (2021). Professional competencies in computing education: Pedagogies and assessment. Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE). https://doi.org/10.1145/3502870.3506570
Karwehl, L. J., & Kauffeld, S. (2022). Future competencies in human–machine interaction: An interdisciplinary approach for the anticipation of strategically relevant competencies in the field of automotive human factors. WORK. https://doi.org/10.3233/WOR-211261
Dingelstad, J., Borst, R. T., & Meijer, A. (2022). Hybrid data competencies for municipal civil servants: An empirical analysis of the required competencies for data-driven decision-making. Review of Public Personnel Administration. https://doi.org/10.1177/00910260221111744
Muzam, J. (2023). The challenges of modern economy on the competencies of knowledge workers. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-022-00979-y
Zhang, X., Qing, L., Wang, S., & Chun, D. (2023). Human resource director competency on the performance of exponential organizations: Analysis of the continuous mediating effect based on organizational identification and competency. Sustainability, 15(2), 936. https://doi.org/10.3390/su15020936
Ramadhan, A., Warnars, H. L. H. S., & Razak, F. H. A. (2024). Combining intelligent tutoring systems and gamification: A systematic literature review. Education and Information Technologies. https://doi.org/10.1007/s10639-023-12092-x
Anas, K. T., & Natarajamurthy, P. (2025). Exploration of the nexus between economic development and environmental sustainability from theory to practice: A review. South Asian Journal of Social Studies and Economics, 22(9), 33–43. https://doi.org/10.9734/SAJSSE/2025/v22i91137s
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