This study investigates the impact of Digital Learning Ecosystems (DLE) on the development of employability skills among management students. While digital platforms have transitioned from peripheral tools to central instructional spaces, empirical evidence linking specific ecosystem dimensions to granular career readiness attributes remains fragmented. Utilizing a quantitative survey design, data was gathered from 420 final-year MBA and PGDM students across major business schools.
Structural Equation Modelling (SEM) was employed to validate the measurement model and test the hypothesized structural relationships. The empirical findings reveal that Platform Interactivity (β= 0.38, p < 0.001) and Content Personalisation (β = 0.29, p < 0.01$) exert the strongest direct impacts on the acquisition of advanced problem-solving and digital literacy skills. Furthermore, learner self-efficacy serves as a crucial mediating variable in translating ecosystem engagement into tangible workforce readiness. The study provides concrete, data-driven frameworks for academic administrators and instructional designers to optimize digital investments for measurable employment outcomes.
Digital Learning Ecosystems, Employability Skills, Structural Equation Modelling, Management Education, Learner Self-Efficacy.
Ms. Pooja Dumbhare, Prof. Dr. Rajesh Timane. Digital Learning Ecosystems and Employability Skill Development: An Empirical Study of Management Students Using Structural Equation Modelling. Indian Journal of Modern Research and Reviews. 2026; 4(SP1):281-284
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