International Journal of Information Science and Management (IJISM)

Analysis of Variables and Indicators of the E-commerce Business Model Canvas for Knowledge Brokers

Document Type : Articles

Authors

azadeh asadian 1
Fahimeh Babalhavaeji 2
Dariush Matlabi 3
Nadjla Hariri 4

1 Ph.D. Student in Knowledge and Information Science, Islamic Azad University, Science and Research Branch, Tehran, Iran

2 Associate Prof., Knowledge and Information Science, Islamic Azad University, Science and Research Branch, Tehran, Iran.

3 Associate Prof., Department of Education, Yadegar-e Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran.

4 Professor, Knowledge and Information Science, Islamic Azad University, Science and Research Branch, Tehran, Iran

https://doi.org/10.22034/ijism.2023.1977825.0
Abstract
The knowledge flow is a key success factor for organizations and institutions. Lack of proper knowledge flow in an organization and among different individuals, organizations, and businesses will cause gaps in information and information access. One such gap is the gap in the innovation system. Mediators, as one of the innovation system variables, can play a role in filling these gaps. One of the mediators is knowledge brokers. On the other hand, every business needs a specific business model for implementation depending on its nature. The present study proposed an e-commerce business model canvas for knowledge brokers to improve knowledge flow. In the present study, meta-synthesis and Delphi methods were used, respectively. The sampling methods used in the Delphi part were homogenous and snowball, based on which the experts were 10. The results showed that 7 variables (out of 48) and 22 indicators (out of 156) were removed. Finally, 134 indicators and 41 variables were classified based on Osterwalder's business model canvas variables and presented within the model.

Keywords

Knowledge Brokers
Business Model Canvas
E-commerce Business Model
Knowledge-Based Business
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International Journal of Information Science and Management (IJISM)
Volume 21, Issue 3
Summer 2023
Pages 209-228

  • Receive Date 04 May 2022
  • Revise Date 01 July 2023
  • Accept Date 24 May 2023

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