AFFECTING FACTORS FOR THE ADOPTION OF CLOUD-BASED ERP SYSTEM IN IRAQI SMES AN EMPIRICAL STUDY
Cloud-based enterprise resource planning (ERP) and cloud computing are critical requirements for all SMEs since they can be used to facilitate the SMEs’ growth by creating competitive and personalized innovations considering their required business scope. To date, the growth of cloud technologie...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Federation of Engineering Education Societies (IFEES)
2022
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| Online Access: | http://eprints.utem.edu.my/id/eprint/27020/2/0102915062023222.PDF http://eprints.utem.edu.my/id/eprint/27020/ https://online-journals.org/index.php/i-jim/article/view/35875 https://doi.org/10.3991/ijim.v16i21.35875 |
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| Summary: | Cloud-based enterprise resource planning (ERP) and cloud
computing are critical requirements for all SMEs since they can be used to
facilitate the SMEs’ growth by creating competitive and personalized
innovations considering their required business scope. To date, the growth of
cloud technologies has led to the development of new systems and applications
in many fields and areas including businesses. Our previous study proposed an
adoption model to investigate the main determinants and logistical factors that
influence decision-makers of SMEs to adopt cloud-based ERP systems. The aim
of this research is to enhance the previous work by evaluating and validating the
new model in real life to determine whether it has achieved what it was developed
for and determine the reliability of the research results. The methodology and
results of the evaluation and validation process of the proposed model are
presented in this research. Considering there is little documentation in the
literature specifically relevant to how proposed models have been evaluated and
validated, hence providing this insight will assist both the academic researchers
and decision-makers. The evaluation and validation methodology and the model
itself contribute toward a better understanding of adoption processes.
Furthermore, the evaluation and validation procedure in future work can be used
to measure, enhance and determine whether the proposed models can be used in
real life. |
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