Systematic literature review and critical success factor analysis to determine a model’s implementation elements
Model implementation is a tedious process. The theoretical studies of a concept and its implementation are quite challenging. One of the biggest challenges is to identify a model’s elements, especially when it involves integrating two or more complex and dynamic fields into one combined model....
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Other |
| Language: | English |
| Published: |
ECS
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6725/1/P13648_55bb33711480d088f04a4f51bed7dbff.pdf http://eprints.uthm.edu.my/6725/ https://doi.org/10.1088/1742-6596/2084/1/012023 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Model implementation is a tedious process. The theoretical studies of a concept and
its implementation are quite challenging. One of the biggest challenges is to identify a model’s
elements, especially when it involves integrating two or more complex and dynamic fields into
one combined model. This research aims to identify the implementation elements of a shariah
compliant business analytics model called Halal Supply Chain Management Transactions
(HSCMT) Model. This research used Systematic Literature Review (SLR) in order to
qualitatively analyse the Critical Success Factor (CSF) of HSCMT, which produced the
HSCMT Model implementation elements. The CSF Analysis results showed that there were 19
related CSF elements with emphasis of 57.9% on external factors and 89.5% on building�adapting factors. Results also showed that the most important aspect of HSCMT were
environmental factors, followed by factors of SME owners and their organization, the Halal
industry, and lastly the role of financial institutes. This proves that both SLR and CSF can be
used as integration tools in identifying a model’s implementation element, thus improving data
collections method for models when researching in a movement constraint period such as
during a pandemic outbreak. |
|---|