Abstract—The purposes of the research were 1) to design a framework for a Digital Repository system for Knowledge management By Using Collective Intelligence and Big data for SMEs. And 2) to evaluate the appropriateness of the framework by experts. The 10 individuals chosen were experts in the field of Information Technology by purposive sampling. The data collection tools were the system and the assessment of an appropriate model using a 5-level rating scale. The statistics used in the data analysis were means and standard deviation. The results showed that 1) The framework for a Digital Repository system for Knowledge management By Using Collective Intelligence and Big data for SMEs consisted of 3 components as followed: a) Knowledge Management, b) Cloud Knowledge Management System, and c) User Interface 2) the expert opinions were that it was absolutely appropriate in overall.

Index Terms—Digital repository, knowledge management, collective intelligence, big data, SMEs.

Thanapol Namnual is with The Division of Information and Communication Technology for Education, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Thailand (email: thanapol.na@gmail.com, panitaw@kmutnb.ac.th).
Panita Wannapiroon is with Innovation and Technology Management Research Center at King Mongkut’s University of Technology North Bangkok, Thailand.

Cite: Thanapol Namnual, Panita Wannapiroon, "Development of Digital Repository system for Knowledge Management by Using Collective Intelligence and Big data for SMEs," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 10, no. 2, pp. 167-173, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).