DC Field | Value | Language |
dc.contributor.author | Fetene, Atalel | - |
dc.date.accessioned | 2018-01-30T07:15:22Z | - |
dc.date.available | 2018-01-30T07:15:22Z | - |
dc.date.issued | 2017-01 | - |
dc.identifier.uri | . | - |
dc.identifier.uri | http://hdl.handle.net/123456789/3292 | - |
dc.description.abstract | This study was intended to explain the influential business factors that affect the business
performance of small and medium enterprises (SMEs) in Addis Ababa Nifas Silk Lafeto
Sub City. The study mainly deployed explanatory/causal research design and used
quantitative research approach. It used mixed: stratification, population proportionate and
simple random sampling techniques and structured Likert scale data collection instrument.
Both descriptive and inferential statistical data analysis methods were applied. The
regression results showed that the eight hypothesized factors: financial, management,
marketing, entrepreneurial, technology, politico-legal, infrastructural and working
premises factors were found significantly affecting the business performance of SMEs
operating in the sub city (tcal > tcritical, P < 0.05). A significant regression model was
formulated at F ((8, 230) = 167.657, p < 0.000), the coefficient of determination (RSquared)
value of the model was 0.854 and its adjusted R2 was 0.849. The comparative
influential intensity (effect) of the eight hypnotized factors on the business performance of
SMEs were determined by using their standardized coefficient (beta), and it was found that
the financial factors were the most influencing predictor variable for SMEs business
performance followed by infrastructure and politico-legal factors. Working premises were
at the fourth position in terms of its strength in influencing business performance followed
by management and marketing factors. In the seventh and eighth ranks were technological
and entrepreneurial factors respectively. The validity of the regression model was
evaluated using residual plots and coefficient of determination and found that it was
consistent with the multiple regression assumptions indicated that the model was valid and
useful to predict the business performance of SMEs. | en_US |
dc.language.iso | en | en_US |
dc.publisher | St.Mary's University | en_US |
dc.subject | Business Performance | en_US |
dc.subject | small and medium enterprises (SMEs) | en_US |
dc.title | Factors Affecting Business Performance of Small and Medium Size Enterprise (SMEs) in Addis Ababa: (In Case of Nifas Silk-Lafeto Sub-City) | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Business Administration
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