Exploring antecedent factors toward knowledge sharing intention in E-learning

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

doi:10.1109/iscaie.2018.8405453

Cited by 6 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the research had such an aim because students shy away from participating in teaching/learning activities when classrooms are blended with e-/m-learning. This is also a global HEI concern, as expressed by others (Camarda et al, 2017;Hwang, 2014;Kow et al, 2017;Kunthi et al, 2018;Sohrabi & Iraj, 2016;Yilmaz, 2016Yilmaz, , 2017.…”

Section: Discussionmentioning

confidence: 96%

“…Even so, only a few studies have investigated academic perceptions of m-learning, despite them being imperative in achieving learning outcomes where m-learning overcomes the limitations of time and space of traditional teaching-learning, allowing independent learning (Jafari Navimipour & Zareie, 2015;Rowe et al, 2015). KS in m-learning enriches knowledge (Kunthi et al, 2018). Based on this argument, the second hypothesis (depicted in Figure 1) is as follows:…”

Section: M-learning Moderates Between Social Capital and Knowledge Sharingmentioning

confidence: 99%

“…and it is unclear whether students interact to make friends or to share knowledge. Scholars suspect the former (Arain et al, 2018;Camarda et al, 2017;Hwang, 2014;Kow et al, 2017;Kunthi et al, 2018;Sohrabi & Iraj, 2016;Yilmaz, 2016Yilmaz, , 2017.…”

Section: Sage Openmentioning

confidence: 99%

“…There seems to be no evidence of what students learn online and whether they acquire knowledge. Instructors struggle to apply e-learning along with interactions; considering the insufficient quantitative evidence in HE e-/m-learning research, particularly on how online participations influence different circumstances (Camarda et al, 2017;Hwang, 2014;Kow et al, 2017;Kunthi et al, 2018;Sohrabi & Iraj, 2016;Yilmaz, 2016Yilmaz, , 2017.…”

Section: Social Capital As An Originator Of Ksqmentioning

confidence: 99%

See 3 more Smart Citations

M-Learning Improves Knowledge Sharing Over e-Learning Platforms to Build Higher Education Students’ Social Capital

Razzaque

2020

Sage Open

View full text Add to dashboard Cite

The education sector is transforming from e-learning to m-learning due to its motivation capabilities that drive students toward self-motivated learning. However, this requires online participation through quality knowledge sharing (KS) of the social capital (SC) of resources. Past-reported low student participation calls for confirming whether social capital affects KS in m-learning. Scholars assessed this effect—however, not in the education sector—and revealed scant clarification of whether m-learning regulates SC through KS. Hence, this is the motivated aim reflected through a conceptual framework, that is, tested using multiple-regression analysis after collecting data from 334 Ahlia University undergraduate business students. The results confirm that m-learning moderates students’ SC through KS in e-/m-learning on Moodle. Implications for theory, practice, and society are revealed in this article.

show abstract

Section: Discussionmentioning

confidence: 96%

Section: M-learning Moderates Between Social Capital and Knowledge Sharingmentioning

confidence: 99%

Section: Sage Openmentioning

confidence: 99%

Section: Social Capital As An Originator Of Ksqmentioning

confidence: 99%

See 2 more Smart Citations

M-Learning Improves Knowledge Sharing Over e-Learning Platforms to Build Higher Education Students’ Social Capital

Razzaque

2020

Sage Open

View full text Add to dashboard Cite

show abstract

“…Structural equation modeling was used to examine the data. In several studies, PLS-SEM has been used several times to help measurement models as in some research (Kaffashan Kakhki et al, 2020; Kunthi et al, 2018; Matić et al, 2017; Negara et al, 2021; Rasdi and Tangaraja, 2020).…”

Section: Methodsmentioning

confidence: 99%

Determinants of knowledge sharing among civil servants and the moderating effects of leadership styles

Devi,

Yulfitri,

Hidayat

et al. 2023

Business Information Review

Self Cite

View full text Add to dashboard Cite

Leadership style can encourage the behavior of employees in the organization. Several previous studies have shown the effect of leadership style on knowledge sharing. Nevertheless, more empirical proof is needed to show the various leadership style’ moderation effect. We conduct a literature review to analyze the determinants of knowledge sharing and empirical studies of the moderation effects of leadership styles on the determinants of knowledge sharing in government. The questionnaire survey collected 619 civil servants from a ministry in Indonesia. The test model uses the PLS-SEM method. The results showed that the factors that significantly influenced knowledge-sharing behavior were self-efficacy, horizontal trust, IT adoption, and organizational commitment. The results reveal that transformational leadership significantly moderates recognition reward and knowledge-sharing behavior. Furthermore, transactional leadership significantly moderates IT adoption and knowledge-sharing behavior. However, charismatic and servant leadership do not positively moderate these determinants of knowledge-sharing behavior. This research contributes to the literature on leadership styles and knowledge sharing. This research integrates several past research to confirm the factors influencing knowledge-sharing behavior among civil servants in developing countries. This research is expected to help governments and practitioners consider appropriate policies to encourage knowledge sharing within government organizations. This research filled a gap in the previous study by investigating the moderation effects of various leadership styles on the determinants of knowledge-sharing behavior among civil servants.

show abstract