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INTERNATIONAL JOURNALS OF ACADEMICS & RESEARCH IJARKE Business & Management Journal This therefore implies that all the four variables have a positive relationship with financial performance of transport firms in Kenya with credit policy contributing most to the dependent variable and account receivable contributing lowest to the dependent variable. From the table we can see that the predictor variables of credit risk control, credit policy, account receivable and credit term got variable coefficients statistically significant since their p-values are less than the common alpha level of 0.05. 9.1 Conclusions From the table we can see that the predictor variables of credit risk control, credit policy, account receivables and credit terms got variable coefficients statistically significant since their p-values are less than the common alpha level of 0.05. 9. Conclusions and Recommendations ISSN: 2617-4138 DOI: 10.32898/ibmj.01/1.4article07 On credit risk control, the study findings rejected the null hypothesis that credit risk control has no effect on financial performance of transport firms in Mombasa County. Therefore, the study concluded that credit risk control has a significant effect on financial performance of transport firms in Mombasa County. www.ijarke.com On credit policy, the study findings rejected the null hypothesis that credit policy has no significant effect of financial performance of transport firms in Mombasa County. Therefore, the study concluded that credit policy has a significant effect on financial performance of transport firms in Mombasa County. On account receivables, the study findings rejected the null hypothesis that account receivable has no significant effect of financial performance of transport firms in Mombasa County. Therefore, the study concluded that account receivable has a significant effect on financial performance of transport firms in Mombasa County. 9.2 Recommendations On credit terms, the study findings rejected the null hypothesis that credit terms have no significant effect of financial performance of transport firms in Mombasa County. Therefore, the study concluded that credit terms has a significant effect on financial performance of transport firms in Mombasa County. The study recommended as follows: i. That transport firms should put in place a robust credit risk control mechanism to safeguard the interest of the company first. ii. That transport firms should be reviewing from time to time its credit policy to be in line with international acceptable standards. iii. That accounts receivables should be well managed, and its audit reports and suggestions implemented iv. That credit terms should be varied from client to client to increase sales volumes. References 1. Abdi, A. F. (2018). The effect of internal factors on non financial performance of trucking firms in Kenya: A case of Dakawou Transport Limited. United States Internationa University, Retrieved from https://www.usiu.edu.org. 2. Abor, J., & Quartey, P. (2017). Issues in SMEs Development in Ghana and South Africa. International Research Journal of Finance and Economics, 39, 218-228. 3. Afrifa, G. (2015). Trade Credit & Firm Performance. Journal of Financial Management and Business, 90 (7) 100 - 112. 4. Aminu, Y. (2014). Determinants of IMs as a Component of Working Capital in Ensuring Corporate Profitability: A Conceptual Approach. Research Journal of Finance and Accounting, 3 (11) 58-61. 5. Ashraf, B. N., & Zheng, C. (2016). Shareholder protection, creditors rights and bank dividend policies. China Finance Review International, 5 (2), 161 - 186 https://doi.org/10.1108/CFRI-08-2014-0057. 6. Asiedu, E., & Freeman, J. A. (2016). The Effect of Globalization on the Performance of SMEs in the US. American Economic Review, 97 (2) 368 - 372. 7. Bryman, A., & Bell, E. (2015). Business Research Methods. London: Oxford University Press. 8. Bungule, C. A., & Ndemo, B. (2017). Effect of credit management practice on the performance of small and medium enterprises in the transport and logistics industry in Nairobi. Unpublished Master of Business Administration, University of Nairobi, Retreieved from http://www.uonbi.ac.ke. 9. Caruso, A. (2015). Statistics of US Businesses: Employment and Payroll Summary. Washington DC: Kogan Publishers. 10. Compeau, L. D. (2018). The influence of bad credit on consumer identities, in Russel W. Belk (ed.). Qualitative Consumer Research (Review of Marketing Research), 14, 51 - 77 Emarald Publishing Limited. 95 IJARKE PEER REVIEWED JOURNAL Vol. 1, Issue 4 May-Jul. 2019

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