Exploring antecedent factors toward knowledge sharing intention in E-learning

Raisiffah Kunthi, Rinda Wahyuni, Mochammad Umar Al-Hafidz, Dana Indra Sensuse

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

This study explained factors in terms of intention to sharing knowledge among students in e-learning contexts. For this purpose, we adopt social cognitive theory (knowledge self-efficacy), social exchange theory (trust, perceived status), activity theory (learning outcomes), Technology Acceptance Model (perceived usefulness), and additional construct (knowledge power) to understand antecedent factor affecting knowledge sharing intention in e-learning. A survey from 152 respondents and data analyzed data using SmartPLS 3.0 showed that learning outcomes, knowledge self-efficacy and trust has a positive impact on knowledge sharing among students. In contrast, knowledge power, perceived usefulness and perceived status has a negative impact on student intention to sharing knowledge sharing in e-learning.

Original languageEnglish
Title of host publicationISCAIE 2018 - 2018 IEEE Symposium on Computer Applications and Industrial Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages108-113
Number of pages6
ISBN (Electronic)9781538635278
DOIs
Publication statusPublished - 5 Jul 2018
Event2018 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2018 - Penang Island, Malaysia
Duration: 28 Apr 201829 Apr 2018

Publication series

NameISCAIE 2018 - 2018 IEEE Symposium on Computer Applications and Industrial Electronics

Conference

Conference2018 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2018
Country/TerritoryMalaysia
CityPenang Island
Period28/04/1829/04/18

Keywords

  • TAM
  • e-learning
  • knowledge sharing

Fingerprint

Dive into the research topics of 'Exploring antecedent factors toward knowledge sharing intention in E-learning'. Together they form a unique fingerprint.

Cite this