2363 - REFRAMING TECHNOLOGY-ENABLED TRAINING: A CONTEXTUAL THEORY OF LEARNING ALIGNMENT FOR EARLY-CAREER DEVELOPMENT

Session: D14S006 - Cognition in Complex Systems
AUTHORS:
Balasubramanian Ganesh (Indian Institute of Management, Tiruchirappalli ~ Tiruchirappalli ~ India) , Totawar Abhishek Kumar (Indian Institute of Management, Tiruchirappalli ~ Tiruchirappalli ~ India)
Abstract text:
The digital transformation of work has profoundly altered how early-career employees learn, adapt, and integrate within organizations. Yet technological innovation continues to outpace theoretical understanding of how digital learning aligns with human and organizational systems. While prior research—drawing on cognitive and social learning theories, socio-technical systems theory, and organizational learning perspectives—has illuminated partial mechanisms, these perspectives have largely evolved in isolation, producing a fragmented conceptual landscape.


This study advances a Contextual Theory of Learning Alignment, a mid-range theory explaining how the effectiveness of technology-enabled training (TET) emerges from the dynamic interaction of three interdependent domains: learner readiness, organizational resource maturity, and intervention design. Through an integrative synthesis of 68 peer-reviewed studies published between 2010 and 2025, TET is conceptualized as an ecosystemic capability rather than a delivery tool. The resulting TET F.I.T. Matrix—a nine-cell typology—illustrates how differing configurations of learner and organizational maturity generate distinct developmental pathways.


The model demonstrates that sustainable learning outcomes depend less on the sophistication of digital technology and more on contextual alignment among cognitive, cultural, and design dimensions. By reframing technology-enabled training through alignment rather than adoption, the paper offers a new theoretical lens that connects applied psychology with human resource development practice. The proposed framework contributes to work and organizational psychology by explaining motivational and contextual contingencies in digital learning; to educational psychology by linking design and learner readiness; and to applied cognitive psychology by clarifying how human-technology interactions shape learning transfer. Collectively, these insights highlight technology-enabled learning as a contextual capability essential for equitable and sustainable workforce development.