Version 1
: Received: 28 February 2021 / Approved: 2 March 2021 / Online: 2 March 2021 (16:08:02 CET)
Version 2
: Received: 17 March 2021 / Approved: 18 March 2021 / Online: 18 March 2021 (10:14:32 CET)
Version 3
: Received: 19 March 2021 / Approved: 22 March 2021 / Online: 22 March 2021 (11:30:50 CET)
How to cite:
Youtang, Z.; Yesuf, A.E. Driving Model of Determinant Factors Affecting the Performance of Small and Micro Enterprises: Empirical Evidence from Amhara Region, Ethiopia. Preprints2021, 2021030106. https://doi.org/10.20944/preprints202103.0106.v2
Youtang, Z.; Yesuf, A.E. Driving Model of Determinant Factors Affecting the Performance of Small and Micro Enterprises: Empirical Evidence from Amhara Region, Ethiopia. Preprints 2021, 2021030106. https://doi.org/10.20944/preprints202103.0106.v2
Youtang, Z.; Yesuf, A.E. Driving Model of Determinant Factors Affecting the Performance of Small and Micro Enterprises: Empirical Evidence from Amhara Region, Ethiopia. Preprints2021, 2021030106. https://doi.org/10.20944/preprints202103.0106.v2
APA Style
Youtang, Z., & Yesuf, A.E. (2021). Driving Model of Determinant Factors Affecting the Performance of Small and Micro Enterprises: Empirical Evidence from Amhara Region, Ethiopia. Preprints. https://doi.org/10.20944/preprints202103.0106.v2
Chicago/Turabian Style
Youtang, Z. and Ayele Eshetu Yesuf. 2021 "Driving Model of Determinant Factors Affecting the Performance of Small and Micro Enterprises: Empirical Evidence from Amhara Region, Ethiopia" Preprints. https://doi.org/10.20944/preprints202103.0106.v2
Abstract
The purpose of this study is to examine the driving model of determinant factors that affects the performance of small and micro enterprises empirical evidence from Amhara Region, Ethiopia. The study used primary and secondary data from manufacturing, construction, urban agriculture, trade, and service entrepreneurs found in Bahirdar, Dessie & Gonder Cities using a purposive sampling technique. It also used the descriptive research design with a self-administered survey questionnaire. The Statistical analysis tools, SPSS and Amos, software were applied to analyze the data. Multiple regression model results revealed that access to credit, initial capital, working premises, industry category, market linkage, ICT adoption have a positive relationship and a major impact on the Amhara region's enterprise performance. Hence, the outcome variable, enterprise performance, is highly affected by all predicted variables. As the study finding shows, a lack of access to credit, , market linkage, working premises), initial capital, and information communication Technology problems are critical challenges of SMEs. The Regional Government, TVED Bureau, Micro Finance Institutions, , should take corrective action to provide sufficient credit and long-term loans to protect inflation. Moreover, this study proposed a sustainable cluster management approach that solves their challenges in an integrated way.
Keywords
Enterprise Performance Indicator; Market Linkage; Credit Access; Working Premises; SME
Subject
Business, Economics and Management, Business and Management
Copyright:
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.
