The effect of connectivism practices on organizational learning in Taiwan's computer industry

C. Rosa Yeh, Bakary Singhateh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Technology has altered the way we learn and work. This study hopes to help business leaders and corporations recognize the crucial role of these societal-changing technologies that link people to information in the digital age. This study explored the effect of technology on organizational learning from the perspective of connectivism. Practices of connectivism studied include social software technologies and knowledge management practices. Quantitative survey question-naires were sent to 301 companies in the computer industry across Taiwan, resulting in 80 valid responses. Hierarchical regression was used to test study hypotheses. Hypotheses on the direct effects among innovative corporate culture, practices of connectivism and organizational learning were supported. Additionally, companies that were younger or in more remote locations were found to have higher motivation to innovate, learn and adopt new technologies formally.

Original languageEnglish
Title of host publication7th International Conference on Knowledge Management in Organizations
Subtitle of host publicationService andCloud Computing
PublisherSpringer Verlag
Pages219-229
Number of pages11
ISBN (Print)9783642308666
DOIs
Publication statusPublished - 2013 Jan 1
Event7th International Conference on Knowledge Management in Organizations, KMO 2012 - Salamanca, Spain
Duration: 2012 Jul 112012 Jul 13

Publication series

NameAdvances in Intelligent Systems and Computing
Volume172 AISC
ISSN (Print)2194-5357

Conference

Conference7th International Conference on Knowledge Management in Organizations, KMO 2012
CountrySpain
CitySalamanca
Period12/7/1112/7/13

Fingerprint

Engineering education
Innovation
Industry
Knowledge management

Keywords

  • Connectivism
  • Innovative corporate culture
  • Knowledge management practices
  • Organizational learning
  • Social software technologies

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Rosa Yeh, C., & Singhateh, B. (2013). The effect of connectivism practices on organizational learning in Taiwan's computer industry. In 7th International Conference on Knowledge Management in Organizations: Service andCloud Computing (pp. 219-229). (Advances in Intelligent Systems and Computing; Vol. 172 AISC). Springer Verlag. https://doi.org/10.1007/978-3-642-30867-3_20

The effect of connectivism practices on organizational learning in Taiwan's computer industry. / Rosa Yeh, C.; Singhateh, Bakary.

7th International Conference on Knowledge Management in Organizations: Service andCloud Computing. Springer Verlag, 2013. p. 219-229 (Advances in Intelligent Systems and Computing; Vol. 172 AISC).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rosa Yeh, C & Singhateh, B 2013, The effect of connectivism practices on organizational learning in Taiwan's computer industry. in 7th International Conference on Knowledge Management in Organizations: Service andCloud Computing. Advances in Intelligent Systems and Computing, vol. 172 AISC, Springer Verlag, pp. 219-229, 7th International Conference on Knowledge Management in Organizations, KMO 2012, Salamanca, Spain, 12/7/11. https://doi.org/10.1007/978-3-642-30867-3_20
Rosa Yeh C, Singhateh B. The effect of connectivism practices on organizational learning in Taiwan's computer industry. In 7th International Conference on Knowledge Management in Organizations: Service andCloud Computing. Springer Verlag. 2013. p. 219-229. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-642-30867-3_20
Rosa Yeh, C. ; Singhateh, Bakary. / The effect of connectivism practices on organizational learning in Taiwan's computer industry. 7th International Conference on Knowledge Management in Organizations: Service andCloud Computing. Springer Verlag, 2013. pp. 219-229 (Advances in Intelligent Systems and Computing).
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