Unveiling e-learning and knowledge sharing during the pandemic: From expert skills perception to student satisfaction

Dan-Cristian Dabija, Constantin Brătianu, Gandolfo Dominici and Elena-Mădălina Vătămănescu

Technology in Society, 2024, vol. 77, issue C

Abstract: The present undertaking seeks to explore the relationships between five main constructs, that is, e-learning, expert skills perception, knowledge perceived value, knowledge sharing and student satisfaction in the context of the COVID-19 pandemic. Even though there is a wide array of studies looking into the impact of the pandemic on the online teaching environment and on student satisfaction, this investigation is paving the way towards scrutinizing the role of expert knowledge in the overall equation. A questionnaire-based survey with 310 master students who participated to expert online lectures in various marketing and business administration classes in the context of the pandemic e-learning environment was carried out between March 2020 and May 2022. The results indicated that Expert Skills Perception explains 58.8% of the variance of Knowledge Perceived Value, while Knowledge Perceived Value and e-Learning Process explain 45.2% of the variance in Knowledge Sharing and Knowledge Sharing and e-Learning Process explain 65.6% of the variance in Student Satisfaction, defining a strong predicting power of the structural model. By addressing students' perceptions of the online education process which relies on expert knowledge sharing is liable to offer a reference point for conducting and enhancing similar endeavors even in the post-pandemic ‘new normal’.

Keywords: Knowledge sharing; Student satisfaction; Expert skills; e-learning; COVID-19 pandemic (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160791X24000861
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:teinso:v:77:y:2024:i:c:s0160791x24000861

DOI: 10.1016/j.techsoc.2024.102538

Access Statistics for this article

Technology in Society is currently edited by Charla Griffy-Brown

More articles in Technology in Society from Elsevier
Bibliographic data for series maintained by Catherine Liu ().