Business Constraints and Growth Potential of Micro and Small Manufacturing Enterprises in Uganda

Ishengoma, Esther K.; Kappel, Robert

doi:10.2139/ssrn.1136816

Cited by 23 publications

(17 citation statements)

References 39 publications

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“…However, SMEs in this cluster did not develop competencies in key areas of budgeting, planning of business activities and managing limited finances. According to Ishengoma and Kappel (2008), efficient financial management is a major predictor of profitability and overall performance trends of SMEs.…”

Section: Clustermentioning

confidence: 99%

Alignment of Human Competencies with Mobile Phone Technology and Business Strategies by Women‐LED SMEs in South Africa

Ajumobi

Kyobe

2017

E J Info Sys Dev Countries

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Women-led SMEs are faced with challenges that inhibit the performance of their businesses. By aligning their human competencies, mobile phone technology and the appropriate business strategy, they can steer their businesses to better performance. However, there is a scarcity of studies providing insight into how they can achieve this. Given the existence of the interplay between human competencies, mobile technology and business strategy, the perspective of alignment as Gestalts was adopted to determine the best way women-led SMEs may align these three aspects. Data was collected from 70 women-led SMEs in four provinces in South Africa and analysed using cluster analysis. Of the four clusters that emerged, one performed highly. This study contributes to theory by showing the value of Gestalts theory in assessing the configuration and patterns of organisational variables; and to practice, by providing insight into ways women-led SMEs can combine these three variables to achieve high business performance.

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Section: Clustermentioning

confidence: 99%

Alignment of Human Competencies with Mobile Phone Technology and Business Strategies by Women‐LED SMEs in South Africa

Ajumobi

Kyobe

2017

E J Info Sys Dev Countries

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“…Ishengoma and Kappel (2008) point out that SMEs' growth potential in rural areas is negatively affected by lack of financial support. Literature indicates that in the rural areas, service infrastructure and business environment have not yet been well developed, and face problems such as the inaccessibility of financial institutions (Liedholm and Mead, 1999), and the inability to get the necessary financing to support their businesses (Romanian Commercial Bank, 2008).…”

Section: Finance Factorsmentioning

confidence: 99%

“…However, SME development and business creation is constrained by poor access to finance (Rogerson, 2008;Okpukpara, 2009), lack of education in entrepreneurship, business skills and leadership (Fieldsend and Nagy, 2006;Rogerson, 2008), lack of marketing knowledge (Lekhanya and Mason, 2013), inflexible regulations (Rogerson, 2008), and lack of access to business resources, high taxes and poor market access (Ishengoma and Kappel, 2008). Fatoki and Garwe (2010) identified internal factors (access to finance, management skills, networking, investment information technology and cost of product) and external factors (economic environment, markets, infrastructure, crime, corruption and labour) that can impact on a business and cause obstacles to growth for new SMEs.…”

Section: Introductionmentioning

confidence: 99%

Selected Key External Factors Influencing the Success of Rural Small and Medium Enterprises in South Africa

Lekhanya

Mason

2014

J. Enterprising Culture

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Small businesses are critical to improving economic development in rural areas of South Africa. However, rural entrepreneurs are still faced with challenges and problems which make the success of small businesses, especially in rural areas, uncertain. This paper investigates business environmental, financial and infrastructural factors that influence the success or otherwise of Small and Medium Enterprises (SMEs) in rural areas. Primary data was collected in five rural areas of KwaZulu-Natal (KZN) from a sample of 374 business owners/ managers, with respondents completing a questionnaire. Access to finance and skills shortages were the factors that most significantly differentiated between more successful and less successful rural businesses in KZN. The majority of respondents indicated that poor roads/transport and access to electricity were major problems.

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“…Studies in both Africa and Latin America show that young MSEs are more likely to show high rates of growth compared with MSEs that have been in existence longer [3]. A study revealed that the major expansion of dynamic enterprises occurs during their third year of operation [2], and numerous other studies have shown that the average growth rate of firms decreases with age [4].…”

Section: Firm Age and Its Influence On Growthmentioning

confidence: 99%

“…They produce largely for the low income group and employ lower levels of techniques. Many of them are self-employed type with a low transformation rate into higher size categories and their innovative activities are limited [2].…”

Section: Introductionmentioning

confidence: 99%

Business Characteristics as a Determinant of MSE Growth

Alemu¹

2015

International JAR

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The research study evaluated the business characteristics with a view to identify business characteristics that result in fast growth of MSE. Primary data, through structured questionnaire, were collected from the samples of 99 MSEs randomly selected from Addis ketema and Areda sub city. Data were analyzed using both descriptive and inferential statistics with the help of SPSS. By using this software, analysis of variance was carried out to examine the variation in the growth of MSEs related to the variation in each of the independent variables. As two dependent variables were used to measure growth in this study, the result of this software shows different statistical result for both of them. The ANOVA and t-test result indicates, there is a significant variation on the growth of MSEs in relation to the variations of type of business, legal status, formal record and competition level if growth is measured using asset growth. If growth is measured using employment growth, the deference in types of business and having formal recording practice brings difference in growth. But the ANOVA and t-test result shows there is no significant difference in growth with respect to the difference in registration with MSE office and age of business whether it is measured with asset or employment growth. Business Characteristics as a Determinant of MSE GrowthAlemu KS* Lecturer and Researcher, Ambo University, Ethiopia International Journal of Accounting ResearchIn t e rn ati ona l J o u r n al of Ac c o u n ti n g Rese a r c h

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Business Constraints and Growth Potential of Micro and Small Manufacturing Enterprises in Uganda

Cited by 23 publications

References 39 publications

Alignment of Human Competencies with Mobile Phone Technology and Business Strategies by Women‐LED SMEs in South Africa

Alignment of Human Competencies with Mobile Phone Technology and Business Strategies by Women‐LED SMEs in South Africa

Selected Key External Factors Influencing the Success of Rural Small and Medium Enterprises in South Africa

Business Characteristics as a Determinant of MSE Growth

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