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 (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162517305255
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: https://EconPapers.repec.org/RePEc:eee:tefoso:v:140:y:2019:i:c:p:182-193
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 Catherine Liu ().