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Article
Publication date: 5 June 2017

Chia-Sui Wang, Yu-Lin Jeng and Yong-Ming Huang

The purpose of this study is to explore the determinants of teachers’ continuance intention concerning cloud services.

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Abstract

Purpose

The purpose of this study is to explore the determinants of teachers’ continuance intention concerning cloud services.

Design/methodology/approach

This study uses a cloud service, namely, Google Sites, to support teacher collaboration and further develop a research model to explore the determinants of their continued usage intention.

Findings

The findings reveal that continued intention to use the cloud services is primarily determined by their attitude towards using it; attitude towards using is affected by perceived ease of use and perceived usefulness; and perceived ease of use is influenced by facilitating conditions, while perceived usefulness is influenced by social influence.

Practical implications

This study determines that teachers intend to continue using cloud services once training in using such services has been provided and if they hear favourable opinions from others.

Originality/value

The paper enables us to better understand factors affecting teachers' continuance intention toward cloud services.

Details

The Electronic Library, vol. 35 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 7 May 2024

Yueh-Min Huang, Ding-Chau Wang, Ho-Yuan Hsieh and Yong-Ming Huang

The purpose of this paper is to investigate what factors can affect individuals’ knowledge sharing on social media from the perspectives of personality traits and social capital.

Abstract

Purpose

The purpose of this paper is to investigate what factors can affect individuals’ knowledge sharing on social media from the perspectives of personality traits and social capital.

Design/methodology/approach

A theoretical model was developed with reference to the personality traits theory and the social capital theory. Accordingly, a questionnaire was designed to collect the individuals’ ideas on knowledge sharing on social media and further test the model. The questionnaire was then distributed to two LINE groups. Finally, the collected data were analyzed using the partial least squares (PLS) approach.

Findings

Personality traits not only directly affect knowledge sharing, but also indirectly influence it via social capital. Of all personality traits, agreeableness, openness and extraversion directly and indirectly influence knowledge sharing.

Research limitations/implications

Knowledge sharing is undertaken by individuals and social groups. It starts with individuals and then diffuses to other members of a group.

Practical implications

Group managers have to identify the members who are friendly, open-minded or extroverted and encourage them to act as the bellwethers for knowledge sharing under an effective regulatory regime, through which intra-group knowledge sharing can be promoted.

Originality/value

This study introduces a new model to explore knowledge sharing on social media from individual and social perspectives. It illustrates what will affect individuals’ knowledge sharing on social media.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

Keywords

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