Economics at your fingertips  

Modular path customization and knowledge transfer: Causal model learnings

Wilfrid Azan (), Silvester Ivanaj and Olivier Rolland

Technological Forecasting and Social Change, 2019, vol. 140, issue C, 182-193

Abstract: •A review of the knowledge based view of the firm•A causal model that takes into account knowledge transfer, satisfaction, cognitive abilities and learning path modularity•A proven correlation of perceived user/student satisfaction and knowledge transfer output

Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.1016/j.techfore.2018.07.005

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Nithya Sathishkumar ().

Page updated 2021-06-18
Handle: RePEc:eee:tefoso:v:140:y:2019:i:c:p:182-193