Shetty, D.S.Suprabha, K.R.2026-02-062025Lecture Notes in Networks and Systems, 2025, Vol.1231 LNNS, , p. 346-35423673370https://doi.org/10.1007/978-3-031-78946-5_33https://idr.nitk.ac.in/handle/123456789/28676The Indian Public Sector Banks (PSBs) are at the cusp of significant structural changes and technological shifts. These radical changes have enormously altered the world of work by endlessly spinning due to the environment’s volatility, uncertainty, complexity, and ambiguity (VUCA). The maladaptive conditions created during these circumstances have increased the need for employees with stronger and steadier adaptive performance. Human capital is the asset of any organisation; thus, attracting, retaining, and maintaining these assets becomes the focal function of financial institutions like banks. Training and development activities are ongoing and crucial organizational processes to manage talents. The vitality of these activities is easily traceable in the institute’s growth graph. Thus, identifying the contextual competencies and training the employees to enhance these competencies is a challenge to any organization. This study proposes the application of Artificial Neural Network (ANN) as a tool to explore the competency in demand during disruptions in the Indian public sector banks. The use of ANN in accruing answers to research questions about employee competency management to enhance adaptive performance is a rare and inevitable study while dealing with disruptions in the banking sector. This study investigates the influence of Work Autonomy (WA), Emotional Stability (ES), Workplace Spirituality (WS), and Career Adaptability (CA) on Adaptive Performance (AP). The current study results are convincingly satisfactory and are very close to the Structural Equational Modelling (SEM) outcomes when compared with the same. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.Adaptive performanceANNCareer adaptabilityContextual competenciesIndian PSBs