Original Research

Factors influencing e-collaboration for knowledge development and innovation

Tendani J. Lavhengwa, Jacobus S. van der Walt, Eve M. Lavhengwa
SA Journal of Information Management | Vol 16, No 1 | a588 | DOI: https://doi.org/10.4102/sajim.v16i1.588 | © 2014 Tendani J. Lavhengwa, Jacobus S. van der Walt, Eve M. Lavhengwa | This work is licensed under CC Attribution 4.0
Submitted: 16 July 2013 | Published: 17 November 2014

About the author(s)

Tendani J. Lavhengwa, Department of Informatics, Tshwane University of Technology, South Africa
Jacobus S. van der Walt, Department of Informatics, Tshwane University of Technology, South Africa
Eve M. Lavhengwa, Audit Services, Department of Minerals Resources, South Africa


Share this article

Bookmark and Share

Abstract

Background: Knowledge development and innovation are at the heart of the progress of academic and research institutions (ARIs) through individual and coordinated research projects. Collaboration initiatives remain a challenge for many researchers for a myriad of reasons which are further intensified by the many technology options that are available both freely and at varying prices. Although multiple theories were considered, the focus on electronic communication supported by the interest in how innovation is diffused and the richness of media motivated the focus on diffusion of innovations (DOI) and media richness theory (MRT).

Objectives: The objective was to develop a multi-dimensional matrix of e-collaboration factors for research institutions. This study investigated collaboration by ARIs while focusing on the supporting and enabling technologies.

Method: The grounded theory method (GTM) was adopted. E-collaboration literature was reviewed followed by data collection using observations, interviews and a blog. DOI and MRT were considered as theories that assist in the implementation of collaboration. A blog was developed as an e-collaboration platform to examine the emergent ideas and to collect data. Data was analysed through the coding method which led to the development of the multi-dimensional e-collaboration factors matrix.

Results: The findings reveal that e-collaboration has multiple factors that must be considered. Collaboration by participants was improved through knowledge development and innovation.

Conclusion: The multi-dimensional matrix of e-collaboration factors presented collaborators with a checklist that will enhance and improve their work. ARIs continue to collaborate at multiple levels depending on their needs and objectives.


Keywords

No related keywords in the metadata.

Metrics

Total abstract views: 2516
Total article views: 5396


Crossref Citations

No related citations found.