IT ADOPTION MODEL DEVELOPMENT FOR SUPPLY CHAIN MANAGEMENT: CASE OF ETHIOPIAN MANUFACTURING FIRMS
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Date
2018-02-06
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Publisher
Hawassa University
Abstract
In the 21st century companies are required to continuously upgrade and improve their business
activities in order to survive and achieve their business goal. One of the competition areas is an
effective and efficient information flow along supply chain (SC). The information technology (IT)
is one of the biggest enablers of the modern Supply Chain Management (SCM). However, SC
systems in Ethiopian Medium and Large-Scale Manufacturing (MLSM) Firms found as
fragmented SC, poor information exchanges, outdated systems and paper work. The purpose of
this study is to examine IT adoption status and to develop its adoption model to Ethiopian MLSM
firms. Cross-sectional survey was conducted on 438 samples from total 2,758 Ethiopian MLSM
firms. Both a qualitative and quantitative data were collected using questionnaire survey,
interview and document investigation, then descriptive and inferential statistical analysis were
conducted by using Statistical Packages for Social Science (SPSS) version 21 and Microsoft
office excel. The results indicated that the IT adoption status among Ethiopian MLSM firms was
inadequate at all, despite good improvements in adopting some IT tools such as the Internet,
Intranet and Barcode Scanner. The result also shows positive and strong correlation between the
role of IT adoption and SC performance with correlation coefficient r = 0.824, even though a
weakness to accept sophisticated IT tools, such as ERP, EDI, RFID, etc. The study suggests firms
to exploit CSFs and reduce associated challenges to adopt IT, government to support these firms
by policies, infrastructure, subsidies, incentives and training and universities to focus on
producing IT skilled professionals. Finally, study proposes a model of IT adoption for Ethiopian
MLSM firms to enhance their competitive advantage and improve firms’ performance
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Keywords
Supply Chain Management, Information Technology, Adoption Model, Medium and Large-Scale Manufacturing Firms
