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Considering factors that leads to sustainability of Small and Medium Enterprises in Ghana using PESTEL and theories of entrepreneurship as a measuring tool

Author

Listed:
  • Seth Amoako

    (CEO of S-Amoako Ventures)

  • Elvis Boateng

    (Ghana Water Company Limited, Kumasi)

Abstract

This study was intended to identify factors that lead to the sustainability of small and medium enterprises in Ghana using PESTEL and theories of entrepreneurship as a measuring tool and also made appropriate recommendations for readdressing. The study seeks to solve the problem of high pay to employees, a process that Small and Medium Enterprise face to access the loan and relatively high income to the employee. To enumerate various sources of funds available to SME's in Ghana and to examine the different causes that contribute to the sustainability of small businesses in Ghana, consider the variables that lead to the collapse of new SME's activities, to ascertain the impact of factors that contributes to the sustainability of SME's in Ghana and to evaluate the PESTEL effect on SME's in Ghana. Data were obtained through questionnaires from managers and entrepreneurs in Kumasi, Ghana. The sample was selected using quota, stratified and convenient sampling method. The data was analyzed using Statistical Package for Social Sciences (SPSS) in the form of tables. The researchers recommended that entrepreneurs or managers of Small Business should be expert in management in all spheres of business endeavor such as funds , human resource etc. for good management contribute to SME's sustainability as well as dealing in good and quality goods or products for quality products contributes to SME's sustainability

Suggested Citation

  • Seth Amoako & Elvis Boateng, 2022. "Considering factors that leads to sustainability of Small and Medium Enterprises in Ghana using PESTEL and theories of entrepreneurship as a measuring tool," Technium Social Sciences Journal, Technium Science, vol. 31(1), pages 594-653, May.
    • Handle: RePEc:tec:journl:v:31:y:2022:i:1:p:594-653
    DOI: 10.47577/tssj.v31i1.6340
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    References listed on IDEAS

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    1. Tim Mazzarol & Sophie Reboud, 2008. "The Role Of Complementary Actors In The Development Of Innovation In Small Firms," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 223-253.
    2. Kathy J. Marshack, 1994. "Copreneurs and Dual-Career Couples: Are They Different?," Entrepreneurship Theory and Practice, , vol. 19(1), pages 49-69, October.
    3. Charles L. Merwin, 1942. "Financing Small Corporations in Five Manufacturing Industries, 1926–36," NBER Books, National Bureau of Economic Research, Inc, number merw42-1, March.
    4. Blum, M, 1974. "Failing Company Discriminant-Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 12(1), pages 1-25.
    5. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    6. Keasey, K & McGuinness, P & Short, H, 1990. "Multilogit approach to predicting corporate failure--Further analysis and the issue of signal consistency," Omega, Elsevier, vol. 18(1), pages 85-94.
    7. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    8. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    9. Robert Cressy & Otto Toivanen, 2001. "Is there adverse selection in the credit market?," Venture Capital, Taylor & Francis Journals, vol. 3(3), pages 215-238, July.
    10. Ana Cristina O. Siqueira & Andy D. Cosh, 2008. "Effects Of Product Innovation And Organisational Capabilities On Competitive Advantage: Evidence From Uk Small And Medium Manufacturing Enterprises," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 113-137.
    11. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    12. Henry Rwigema & Peter Karungu, 1999. "SMME development in Johannesburg's Southern Metropolitan Local Council: An assessment," Development Southern Africa, Taylor & Francis Journals, vol. 16(1), pages 107-124.
    13. Russell-Bennett, Rebekah & Previte, Josephine & Zainuddin, Nadia, 2009. "Conceptualising value creation for social change management," Australasian marketing journal, Elsevier, vol. 17(4), pages 211-218.
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    More about this item

    Keywords

    Sustainability of Small and Medium Enterprises; PESTEL; Theories of Entrepreneurship and Measuring Tool;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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    Access and download statistics

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