Effect of credit management and budgeting Financial Literacy on Performance SMEs in Nyeri County
Journal of Economics, Management Sciences and Procurement, Volume 2, Issue I, 2022, pp. 63–74.
Article history: Revised format: 12th July 2022, Available online: 6th September 2022
6 sections · about 30 minutes to read
Abstract
Purpose: The main purpose was to determine relationship between financial literacy and performance of small and medium enterprises in Nyeri County. The study was informed by the theory of planned behavior.
Material/methods: The study comprised of 1053 registered SMEs owners in Nyeri County. Cluster and random sampling techniques were used to select a sample size of 290 SMEs. Data was collected using structured questionnaires. Test-retest technique was employed to test reliability of the data collection instruments. Descriptive statistics was used to analyze the data and data was presented in form of frequencies, tables, percentages, means and standard deviation. Inferential statistics and Pearson correlation was used to analyze data.
Findings: The findings are indicative of a significant effect of credit management financial literacy and budgeting financial literacy on SME performance.
Conclusion: The findings suggest that credit management financial literacy and budgeting financial literacy have a significant effect on SME performance. This means that SMEs that are more financially literate are more likely to perform better than those who are not. Therefore, it is important for SMEs to ensure that they are financially literate in order to improve their performance.
Value: The value of the study is that it has established a significant effect of credit management financial literacy and budgeting financial literacy on SME performance. This is important because it means that these are important factors in determining the success of small businesses. This information can help policy-makers and financial educators to develop programs that better target the needs of small businesses.
Keywords: Credit management financial literacy, Budgeting financial literacy, SME Performance
Paper Type: Research Article
Recommended citation: Njoki, N. (2022). Effect of credit management and budgeting Financial Literacy on Performance SMEs in Nyeri County. Journal of Economics, Management Sciences and Procurement, 2(1), 63-74.
1. Introduction
The performance and growth of Small and Medium Sized Enterprises (SMEs) have throughout the nations, been of great concern to, among others, development economists, entrepreneurs, governments, venture capital firms, financial institutions and non-governmental organizations (Eniola & Entebang, 2014). The success or failure of small and medium enterprises (SMEs) is contingent on their financial viability and one of the most common problems facing such firms is their ability to secure sufficient cash flow and working capital to remain profitable. It was noted as one of the top problems facing SMEs as long ago as the Bolton Report in the early 1970s (Bolton, 1971). This has been a recurring theme in the small business literature since that time (Kennedy, Tennent and Gibson, 2006). This was highlighted in the 2014 Sensis Business Index report where the most important prime concerns of Australian SME owner-managers were lack of sales and cash flow, bad debts and profitability (Sensis, 2014).
Financial literacy has been shown to be essential in improving transparency, efficiency, accuracy and accountability resulting in the organizations achieving their objectives (Koitaba, 2013). Increasing the chances of success among SME's would have huge implications for the growth and socio-economic wellbeing of a country (Asian-Pacific Economic Cooperation, 2004). Thus, understanding predictors of success in SME's is critical. The creation of more successful SMEs could potentially create new jobs, increase trade, consequently, the GDP of the country. Although it has been difficult to ascertain why in similar situations some entrepreneurs fail while others succeed, this study focuses on “entrepreneurial competencies” to offer a practical means of addressing the phenomenon. Capacity building of SMEs in terms of preparing financial statements and business plans, as well as improving their financial literacy and management training, is shown to have positive impact on SME development. Furthermore, strengthening the horizontal linkages with other SMEs and vertical linkages with larger firms would improve SMEs' market access (Hogarth et al. 2002). Effective implementations of financial literacy skills lead to improvement in business performance due to improved ability to track business events from the record system (Siekei, et al. 2013). Most new business owners are daunted by the mere idea of bookkeeping and accounting.
It is generally accepted that SMEs are becoming increasingly important in terms of employment, wealth creation, and the development of innovation. However many SME's encounter problems during their lifetime and as a result, many firms perform dismally and fail to grow. In addition it is generally known and accepted that there is a high mortality rate of SMEs within the first two years. Given this high failure rate, it becomes vital to research the factors required to enable the SMEs to survive and indeed progress to the growth phase of the organizational life cycle (Kamunge et al., 2014). This calls for financial literacy intervention to train the SMEs on how to use the available means of accessing financial services to improve their enterprises and also reduce cost of doing business. Financial training is one of the factors that impact positively on growth of SMEs because entrepreneurs adequate financial literacy are better placed to adapt their enterprises to constantly changing business environments (King & McGrath, 2002).
Internally, most SMEs lack training and management skills to enable to manage funds effectively. Externally, SMEs lack the necessary collateral and have the capacity to absorb only small amount of funds from financial institutions. This prevents the enterprises from accessing adequate credit because of high intermediation costs, including the cost of monitoring and enforcement of loan contracts. Several initiatives have been advanced by the state and non-state sectors to broaden access to affordable credit, and financial management to enable SMEs to manage finances efficiently. However, it is not clear whether financial literacy initiatives have translated to better financial management, enterprise performance, improved access to loan capital, and loan repayment of SME borrowers (CMA, 2010; Wanjohi, 2011). G20 Seoul Summit (2010) states that information asymmetry arising from SMEs' lack of accounting records, inadequate financial statements or business plans also makes it difficult for creditors to assess the creditworthiness of potential SME proposals. As the lack of financial literacy, operational skills, including accounting and finance and business planning represents formidable challenge for SME borrowers.
However, reviews of the literature on the effect of financial literacy on SME performance are yet to be conducted. Most of the studies are on firm characteristics and performance. For example, a posited relationship between firm size and performance was found by Vijayakumar and Tamizhselvan (2010). Most of these studies have only been done in large firms. Therefore, this study intends to fill the gap by identifying relationship between financial literacy and performance of small and medium enterprise in Nyeri County. Thus, the study hypothesized that;
HO1: There is no significant effect of credit management financial literacy on performance of small and medium enterprise
HO2: There is no significant effect of budgeting financial literacy on performance of small and medium enterprise
2.1. Theoretical Framework
Financial literacy theory argues that the behavior of people with a high level of financial literacy might depend on the prevalence of the two thinking styles according to dual-process theories: intuition and cognition. Dual-process theories (Evans 2008) embrace the idea that decisions can be driven by both intuitive and cognitive processes. Dual-process theories have been studied and applied to many different fields, e.g., reasoning and social cognition (Evans 2008). Financial literacy remains an interesting issue in both developed and developing economies, and has elicited much interest in the recent past with the rapid change in the finance landscape.
According to this theory, Gallery, Newton and Palm (2011) framework financial knowledge is a form of investment in human capital, and many empirical surveys establish that people need to know much more to become informed. The authors show how financial literacy shapes economic outcomes. They conclude with thoughts on research needs to better inform theoretical and empirical models as well as public policy. Financial literacy theory argues that the behavior of people with a high level 14 of financial literacy might depend on the prevalence of the two thinking styles according to dual-process theories: intuition and cognition. Dual-process theories (Idowu 2010) embrace the idea that decisions can be driven by both intuitive and cognitive processes. Dual-process theories have been studied and applied to many different fields, e.g., reasoning and social cognition (Idowu 2010).
Financial literacy remains an interesting issue in both developed and developing economies, and has elicited much interest in the recent past with the rapid change in the finance landscape. Atkinson and Messy (2005) define financial literacy as the combination of investors understanding of financial products and concepts and their ability and confidence to appreciate financial risks and opportunities, to make informed choices, to know where to go for assistance, and to take other effective actions to improve their financial well-being. Financial literacy helps in empowering and educating investors so that they are knowledgeable about finance in a way that is relevant to their business and enables them to use this knowledge to evaluate products and make informed decisions. It is widely expected that greater financial knowledge would help overcome recent difficulties in advanced credit markets (Lusardi and Oliver, 2006).
2.2. Empirical Review
A study by Ekanem (2010) of SME owner-managers in the printing and clothing manufacturing sectors in Ethiopia found that managerial financial literacys differed by sector. For example, the average collection period for accounts receivable within the clothing industry was 30 to 90 days, while that in the printing industry was 14 days. Where clothing manufacturers employed “closed loop” learning with a resort to standard industry conventions, the printers were more likely to apply “open loop” learning, relying on advice from accountants and their own experience when setting their financial literacys in debtor collection and credit management. Many owner-managers do monitor their cash flow and financial positions closely with a keen eye on debtors and creditors (Kubickova and Soucek, 2013).
In fact there is often a high focus by owner- managers on financial performance measures at the expense of non-financial ones, although such financial management is frequently ad-hoc and less systematic or formal than it should be (Perera and Baker, 2007). However, in many developing economies the use of formal accounting systems, credit management and cash flow monitoring is largely ad hoc and informal in nature (Orobia et al., 2013; Mungal and Garbharran, 2014)
In a study conducted by Prakash & Poudel (2002) in the United States, a survey of 50 financial institutions was conducted, primary and secondary data was used, and data analysis was done using a regression model. The results of this study found credit risk management financial literacys is the best financial literacy in financial institutions and above 90% of the private financial institutions in country have adopted the best financial literacys. Inadequate credit policies are still the main source of serious problem in the financial industry as result; effective credit risk management had gained an increased focus in recent years. The study concluded on the need to manage credit risk in the entire portfolio as well as the risk in individual credits transactions.
A study was conducted in Uganda by Omara (2007) to investigate on the credit Assessment process and repayment of bank loans in Kampala, a case study of Barclays was done. A sample of 73 respondents were interviewed and the results of the study showed that there was delay by Barclays bank in scoring loans, the bank charged commitment fee to both new and existing customers. Data was analyses using frequencies and tables it was found out that Barclays bank required collateral for loans above UGX 20 Million. There is also a review of empirical studies for instance, Djankov, McLiesh, & Shleifer, (2007), carried out a on the effects of credit management on loan repayment in private credit in 129 countries in Easter Europe, financial managers of the finance institutions were interviewed and data analysis was carried out using mean and standard deviation. The findings of the study concluded that credit management financial literacys were significant in facilitating loan repayment.
In his study, Simiyu (2008) investigated on the techniques used by micro finance institutions in the management of credit risk in Kenya, and to examine the main challenges facing the micro finance institutions operating in Kenya in the management of credit risk. To satisfy the research objectives, the study used a descriptive research design comprising a sample of thirty (30) micro finance institutions. The sampling frame included the Central bank of Kenya Directory of micro finance institutions. Purposive sampling was used to select one credit officer and one loan officer from each of the sampled institutions. Primary data was collected using semi-structured questionnaires. The questionnaires were dropped and picked up later and others sent and received via email. The target respondents were the institutions' loans and credit officers. Once the pertinent data had been collected the researcher carried out analysis of the same using mean scores, percentages and standard deviations.
2.2.1 Budgeting Financial literacy and Performance of Small and Medium Enterprise
Joshi et al (2003) examined budgeting financial literacys by a survey of 54 medium and large sized companies in Bahrain focusing on budgeting planning and control, budget participation and rewards, and performance evaluation. These researchers found that an increase in firm size lead firm to implementing a more comprehensive budgeting process to achieve a better performance. Further the firm size and its complexity of operations generally influenced the nature of the budgeting adopted.
A study conducted by Chidi & Shadare (2011) in Nigeria focusing on challenges confronting human capital development in SMEs in Nigeria found that budgeting among SMEs faced challenges by the businesses not taking ownership or not being accountable, there being a lack of cooperation and/or participation and a lack of understanding of the budgeting process or what's required. This was compounded by the inability to meet, deadlines, padding their budgets/providing unrealistic numbers and sheer ignorance of the importance of budgeting by the business owners. These researchers confirmed that the skill that managers have concerning budgeting affect the budgeting process. The influences of the managers inform whether the budget would be implemented as prepared or not.
Based on Mahmood (2008), study, if the owners of SMEs have clearly defined relationship with the business, the budgeting process becomes more formal, sophisticated and accurate due to the limited influence of the owners. Diamond & Khemani (2006) studied accounting systems among businesses in the developing countries, focusing on Africa deduced that budget execution and accounting processes were either manual or supported by very old and inadequately maintained software applications and hardware. He found that this had damaging effects on their functioning due to the consequent lack of reliable and timely revenue and expenditure data for budget planning, monitoring, expenditure control, and reporting negatively impacting budget management. Further, the study found that there was poorly controlled commitment of resources. This meant that the nature of the computerization of accounting affected the budgeting process to a large extend.
Joshi et al. (2003) suggested that large companies tend to carry a detailed budget process and achieve better performance. Therefore, the size and complexity of the company and its operations generally affect the nature of the budget process that should be adopted and ultimately affect the performance of the company. Moreover, the size of the company is also one of the variables that are generally used in quantitative research. According to Wijewardena and Zoysa (2001) budget planning and budget control differs between small and medium enterprises.
As proposed by Wijewardena and DeZoysa (2001) the formal budget planning and the formal budget control have two important facets of the regular budget process by SMEs. They classified three special types of firms. In first category, firms do not use any type of budget. In the second group, they represent a less comprehensive planning process with respect to a few areas of operation i.e. simple budgeting. In the third group many different areas of operation are included with regard to the detailed budget plan used by the firms. These firms engage in a more comprehensive planning process. In addition, the administrative control of the budget is focused in the third category in terms of budget control
Most of the reviews on recordkeeping financial literacy and firm performance (Peacock, 2008; Williams, 2010), credit management financial literacy and firm performance (Orobia et al., 2013; Mungal and Garbharran, 2014), financial reporting and analysis financial literacy and performance of small and medium enterprise (Omara, 2007; Moores & Mula, 2003; Maingot and Zeghal, 2006) and budgeting financial literacy and performance of small and medium enterprise (Chidi & Shadare, 2011; Mahmood, 2008; Wijewardena and DeZoysa, 2001) have argued a link between the above financial literacy and performance of small and medium enterprise. However, those reviews have not clearly articulated the relationship between financial literacy and performance of small and medium enterprise. The study ate also based developed countries and in larger firms.
3. Materials and Methods
The study adopted explanatory research design. From the target population of 1053 SMEs, Taro Yamane (1973) sample size formula will be used to select a sample size of 290. The study used Cluster and simple sampling technique to select the SMEs where owners/managers were picked. The primary data on the other hand was obtained from questionnaires. Cronbach alpha was used to test reliability of the research instruments. The collected data was analysed through the use of both descriptive and inferential statistics. Descriptive statistics were presented in form of frequencies, percentages, means and standard deviation. The researcher used inferential statistics, Pearson correlation and ANOVA to show the relationship between the variables.
4.0 Findings and Discussions
This section presents analysis and findings from the data collected through the use of questionnaires. The researcher also found it necessary to establish the credit management financial literacy. The findings are presented in table 1. Most SMEs are not trained on calculating the interest rates of funds advanced to the business by lenders. This is vital because the rates should be sustainable in order to realize profits at the end. Before credit management they do not check on the profit and how they are able to repay the loan (mean of 2.53 and standard deviation of 0.852). Firm do not hire expertise to advice on the credit management behavior.
| Mean | Std. Deviation | |
|---|---|---|
| I have been trained on calculating the interest rate | 2.44 | 0.876 |
| Before credit management we check on how profit and of we are able to repay the loan | 2.53 | 0.852 |
| My firm hire expertise to advice on our credit management behavior | 2.32 | 0.795 |
| We calculate risk before asking for loan from a financial institution | 3.42 | 0.953 |
| We weight our options on which financial institutions we should ask loan from | 3.17 | 1.451 |
| Composite | 2.7759 | 0.60458 |
| Cronbach Alpha | 0.711 |
This section sought to establish the budgeting financial literacy. The results are as presented in table 2. Findings showed that most employees have no budget expertise and if they indeed adhere to strict budgets for their businesses. The results on the budgeting financial literacy summed up to a mean of 2.6652 and standard deviation of 0.78491.
| Mean | Std. Deviation | |
|---|---|---|
| The organization has employees with budget expertise | 2.85 | 1.296 |
| The organization regularly prepare it budget activities | 2.49 | 0.947 |
| The organization has hire budget expertise | 2.81 | 0.879 |
| The firm involve and allow its employee to participate in budget process | 2.51 | 0.966 |
| Budgeting Financial literacy | 2.6652 | 0.78491 |
| Cronbach Alpha | 0.833 |
Table 3 presents the results on firm performance. The findings showed that have averagely performed well in terms of Growth in profit level in relation to their Competitors and Growth in sales in relation to their competitors. This summed up to a mean of 3.82 and standard deviation of 1.017.
| Mean | Std. Deviation | |
|---|---|---|
| Growth in sales in relation to your expectations | 2.66 | 0.999 |
| Growth in sales in relation to your competitors | 3.32 | 0.914 |
| Growth in profits in relation to your expectations | 3.04 | 1.241 |
| Growth in profit level in relation to your competitors | 3.44 | 1.123 |
| Increase in number of employees | 2.75 | 1.066 |
| Increased market size in new markets in relation to your | 2.78 | 1.129 |
| Increased market size in new markets in relation to your tutors | 2.89 | 1.328 |
| Composite | 3.136 | 0.501 |
| Cronbach Alpha | 0.911 |
4.1 Hypothesis testing
The study exhibited a strong relationship between budgeting financial literacy and SME performance (r = 0 .590, p-value < .01). However, there was a weak relationship between credit management financial literacy and SME performance (r = 0.140, p-value < .05). the model summary of multiple regression model, the results showed that all the four predictors (budgeting financial literacy and credit management, financial literacy) explained 41.8 percent variation of SME performance (R squared =0.319). Also, the Durbin-Watson value (1.311) is within the thumb rule hence no autocorrelation.
| Unstandardized Coefficients | Standardized Coefficients | Collinearity Statistics | correlations | |||||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | t | Sig. | Tolerance | VIF | zero-order | |
| (Constant) | 1.939 | 0.141 | 13.72 | 0.000 | ||||
| Credit management Financial literacy | -0.143 | 0.061 | -0.172 | -2.33 | 0.021 | 0.486 | 2.058 | 0.140** |
| Budgeting Financial literacy | 0.27 | 0.041 | 0.424 | 6.662 | 0.000 | 0.657 | 1.522 | 0.590** |
| R Square | 0.418 | |||||||
| Adjusted R Square | 0.407 | |||||||
| Std. Error of the Estimate | 0.38551 | |||||||
| Durbin-Watson | 1.311 | |||||||
a Dependent Variable: SME performance
Hypothesis 1 (Ho1) stated that credit management financial literacy has no significant effect on SME performance. Findings showed that credit management financial literacy had coefficients of estimate which was significant basing on β2 = -0.172 (p-value = 0.021 which is less than α = 0.05) hence we reject the null hypothesis, and conclude that credit management financial literacy has significant effect on SME performance. With reference to the credit management financial literacy, SME owners have been trained on calculating the interest rate. Furthermore, before credit management, SME owners check on the profit level and how they will be able to repay the loan. The SMEs have also gone to the extent of hiring experts to advice on the credit management behavior. Besides, SME owners weigh their options on which financial institutions they should ask loan from. However, the calculation of risks before asking for a loan was not a common financial literacy among the SMEs. Consistently, a study conducted by Prakash & Poudel (2002) in the United States revealed that loan management is the best financial literacy in financial institutions since it instrumental in enhancing firm performance. Besides, Djankov et al, (2007) concluded that credit management financial literacys were significant in facilitating loan repayment.
Hypothesis 2 (Ho2) stated that budgeting financial literacy has no significant effect on SME performance. Findings showed that budgeting financial literacy had coefficients of estimate which was significant basing on β4 = 0.424 (p-value = 0.000 which is less than α = 0.05) thus we fail to accept the hypothesis and conclude that budgeting financial literacy has a significant effect on SME performance. This suggests that there is up to 0.424 unit increase SME performance for each unit increase in budget financial literacy. In line with the results, Joshi et al (2003) examination of budgeting financial literacys by a survey of 54 medium and large sized companies in Bahrain found that an increase in firm size led firm to implementing a more comprehensive budgeting process to achieve a better performance. In a similar vein, a study conducted by Chidi & Shadare (2011) in Nigeria focusing on challenges confronting human capital development in SMEs found that lack of understanding of the budgeting process was detrimental to the performance of the SMEs. From the extant literature, it is evident that budgeting enhances SME performance. The results therefore augment prior findings. Finally, the results on budgeting financial literacy revealed that the organization has employees with budget expertise. As a result, the organization regularly prepares its budget activities and in other instances hires budget expertise. Moreover, the SME owners confirmed that the employees participate in the budget process.
The rule of thumb was applied in the interpretation of the variance inflation factor. From table 4, the VIF for all the estimated parameters was found to be less than 4 which indicate the absence of multi-Collinearity among the independent factors. This implies that the variation contributed by each of the independent factors was significant independently and all the factors should be included in the prediction model.
5.0 Conclusion and Recommendations
Credit management financial literacy has a significant effect on SME performance. SME owners possessed the requisite knowledge on effective and efficient credit management financial literacy. Precisely, most of them had undergone training on the calculation of interest rate. They are therefore capable of ascertaining whether or not a project will yield and the amount that is to be invested. Moreover, experts' advice on the credit management behavior giving the SMEs a better chance of efficiently utilizing the borrowed funds and realizing profits.
Budgeting financial literacy has a positive and significant effect on SME performance. The preparation of budgets coupled with budget expertise provides a spending plan for finances making it possible for availability of funds to enhance future growth and overall performance of SMEs. This however requires the participation of employees in the budget process in order to realize improved performance.
It is therefore recommended for SME owners to enhance the training on calculation of interest rate. Besides, its utmost important for SMEs to assess the manner in which they will pay the borrowed funds and the profit that can be yielded. Experts need to be sought to advice on the credit management behavior and the risks need to be calculated before asking for a loan.
Financial information is useful mainly in evaluating the success of past decisions and in determining present position. There is thus need for periodical reporting on the balances of their accounts. The growth of accounts also needs to be analyzed and evaluated periodically. Additionally, there is need for employees to have the necessary reporting and analyzing skills. Budgeting financial literacy has a positive and significant effect on SME performance. It is therefore necessary for employees to have budget expertise. Most importantly, SME owners need to have budget expertise since they dictate whether the budget would be implemented as prepared or not. Moreover, budgets should be prepared regularly with full participation of employees in the budget process.
. More research is needed in this subject area to fully establish the effect of record keeping on SME performance since the study exhibited no significant effect. Major contextual and settings to be considered in future researches should consider insights from this study influencing SME performance including the three factors: 1) budget financial literacy; 2) financial reporting and credit management financial literacy as playing an important role in enhancing SME performance.
REFERENCES
Atkinson, A. and Messy, F. (2005) Assessing financial literacy in 12 countries an OECD Pilot Exercise. Paris: OECD Financial Affairs Division.
Bolton, J. E. (1971) Report of the Committee of Inquiry on Small Firms, London, HMSO.
Capital Markets Authority (2010) Capital Raising Opportunities For SMES: The Development Of Micro-Cap Securities Markets In Kenya. Nairobi: Capital Markets Authority
Chidi, C. O. & Shadare, O. A. (2011). Managing human capital development in small and medium-sized enterprises for sustainable national development in Nigeria, International Journal of Management & Information Systems – Second Quarter 2011 Vol. 15, No. 2
Diamond, J. & Khemani, P., 2006, ‘Introducing financial management information systems in developing countries’, OECD Journal on Budgeting 5(3), 97–132. http://dx.doi.org/10.1787/budget-v5-art20-en 8.
Djankov, S., McLiesh, C., Shleifer, A., 2007. Private credit in 129 countries. Journal of Financial Economics 84, 299–329.
Ekanem, I. (2010) "Liquidity management in small firms: a learning perspective," Journal of Small Business and Enterprise Development, 17(1): 123-138
Eniola, A. A., & Entebang, H. (2014). SME firms performance in Nigeria: Competitive advantage and its impact. International Journal of Research Studies in Management, 3(2), 75-86. http://dx.doi.org/10.5861/ijrsm.2014.854
Evans, J. St. B. T. (2008). Dual-processing accounts of reasoning, judgment and social cognition. Annual Review of Psychology, 59, 255–278.
Gallery, N, Gallery, G, Brown, K, Furneaux, C & Palm, C 2011, ‘Financial Literacy and Pension Investment Decisions’, Financial Accountability and Management (in press).
Hogarth, J., and Hilgert. A. (2002). Financial knowledge, experience and learning preferences: Preliminary results from a new survey on financial literacy. Consumer Interests Annual, 48, 1-7.
Idowu, F. (2010). Impact of Microfinance on Small and Medium-Sized Enterprises in Nigeria.
Joshi, P.L., Al-Mudhaki, J., &Bremser, W.G. (2003). “Corporate Budget Planning, Control and Performance Evaluation in Bahrain”, in: Managerial Auditing Journal, Vol. 18(9), pp. 737-750
Kamunge M.S.,, Njeru A., & Tirimba O.I., (2014) Factors Affecting the Performance of Small and Micro Enterprises in Limuru Town Market of Kiambu County, Kenya. International Journal of Scientific and Research Publications, Volume 4, Issue 12
Kennedy, J., Tennent, B., & Gibson, B. (2006) "Financial literacy in Small Businesses: Regional and Metropolitan," Small Enterprise Research: The Journal of SEAANZ, 14(1): 55-63
King, K., & McGrath, S., (2002). Globalization, Enterprise and knowledge; Educational Training and Development, International Review of Education, 50(1), 74-76 (3).
Koitaba, E. K. (2013). Analysis of factors influencing financial control financial literacys in community based organizations in Baringo County, Kenya. MBA Thesis, Kabarak Public sector in Mirangine Sub County, Kenya
Kubickova, D., & Soucek, J. (2013) "Management of receivables in SMEs in the Czech Republic," European Research Studies, 16(Special Issue on SMEs): 97-111.
Lusardi A. & Oliver, M. (2006). Financial Literacy and Planning; Implications for Retirement wellbeing, Pension Research Council Working Paper 1, The Wharton School
Mahmood, S. (2008). Corporate governance and business ethics for SMEs in developing countries: challenges and way forward, Islamabad, Pakistan, retrieved on 18th January from http://www.kantakji.com/fiqh/files/companies/w111.pdf
Maingot, M. and Zeghal, D. (2006) ‘Financial reporting of small business entities in Canada’,Journal of Small Business Management, Vol. 44, No.4.
Moores, K. & Mula, J. 2003, Managing and Controlling Family Owned Businesses: A Life Cycle Perspective of Australian Firms, Research Report, Bond University, Gold Coast, Queensland.
Mungal, A., & Garbharran, H.L. (2014) "The perceptions of small businesses in the implementation of cash management techniques," Journal of Economics and Behavioral Studies, 6(1): 75-83
Omara, M. (2007).credit assessment process and repayment of bank loans in Barclays bank Uganda ltd, Published MBA Project, Makerere University
Orobia, L. A., Byabashaija, W., Munene, J.C., Sejjaaka, S.K., & Musinguzi, D. (2013) "How do small business owners manage working capital in an emerging economy?; A qualitative inquiry," Qualitative Research in Accounting & Management, 10(2): 127-143
Peacock, R. W. (2008). Small Business Bankruptcy, Accounting Forum, 1 (3), 51-52.
Perera, S., & Baker, P. (2007) "Performance Measurement Financial literacys in Small and Medium Size Manufacturing Enterprises in Australia," Small Enterprise Research: The Journal of SEAANZ, 15(2): 10-30.
Prakash, P. & Poudel, S. (2012). The impact of credit risk management on financial performance of commercial banks in Nepal, Published PhD Thesis, University of New England Australia Business School
Sensis (2014) Sensis Business Index, December 2014: A survey of confidence and behaviour of Australian small and medium enterprises, Sensis Pty Ltd. [available online] www.sensis.com.au
Siekei, J. Juma W. & Aquilars K. (2013).An assessment of the role of financial literacy on performance of small and micro enterprises: Case of Equity Group Foundation Training Program on SMES in Njoro district, Kenya
Simiyu, S. (2008). A Survey Of Techniques Of Credit Risk Management In Micro- Finance Institutions In Kenya, Unpublished MBA Project, University of Nairobi
Vijayakumar, A. and Tamizhselvan, P. (2010), “Corporate Size and Profitability-An Empirical Analysis”, College Sadhana – Journal for Bloomers of Research, Vol. 3, No. 1, pp. 44 – 53.
Wanjohi, A (2011) Kenya Vision 2030 and Youth Agenda. Kenpro Papers Portal. available http://www.kenpro.org/tag/sme-sector-in-kenya/
Wanjohi, A.M. (2011). Sustainability of Community Based Projects in Developing Countries. Saarbrucken, Germany: LAP LAMBERT Academic Publishing. Available online at http://www.amazon.co.uk/Sustainability-Community-Projects-Developing-Countries/dp/3843376085 Countries.
Wijewardena, H. and De Zoysa, A. (2001). The Impact of Financial Planning and Control on Performance of SMEs in Australia. Journal of Enterprising Culture, 9(4), 353- 365.
Williams. A. J. (2010). A longitudinal analysis of the characteristics and performance of small business in Australia, Institute of Industrial Economics, 2(3) 201258
Yamane, Taro (1973). “Statistics: an introductory analysis.” New York: Harper & Row.