Blended programs for working professionals: developing a path analysis-based structural model to achieve skill development outcomes
by Ranjan Kumar; Neerja Pande
International Journal of Management Practice (IJMP), Vol. 12, No. 4, 2019

Abstract: Blended learning has emerged as a promising alternative to traditional classroom-based programs for working professionals, faced with rapid skill obsolescence and constraints of time and location. The present study focuses on this mixed-mode format, combining face-to-face and online learning and targets working professionals as the learner segment. Four notable contributions follow. One, the paper establishes a multi-disciplinary framework comprising learner-centric, pedagogical andragogical and institutional factors as the key pillars of a successful blended learning program. Two, the paper creates taxonomy of cause-effect-based empirical studies and identifies predictor, mediator and dependent constructs. Three, the paper evaluates 44 identified constructs and chooses six of them - active learning, intrinsic motivation, perceived quality, perceived value, perceived organisational support, self-regulated learning - by following a rigorous analytical procedure. And finally, the paper develops a structural model, specifying path relationships between the chosen constructs and skill development.

Online publication date: Mon, 30-Sep-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Management Practice (IJMP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com