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Navigating containment challenges: A quantitative study of Ghanaian SME performance during the COVID-19 pandemic

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Abstract

This study aims to provide valuable insights into the containment challenges faced by Ghanaian SMEs during the COVID-19 pandemic and how these challenges impacted key performance indicators (KPIs). Utilizing the partial least square approach of structural equation modelling (PLS-SEM), data collected from a sample of 152 Ghanaian SMEs are examined. The findings underscore the adverse influence of pandemic-related containment measures on financial performance, sales performance, employee satisfaction, and customer satisfaction, while revealing an increase in online engagement as SMEs adapted their business models. Thus, this study highlights the significance of bolstering dynamic capabilities, with a particular focus on digital transformation and leveraging online platforms, as a means to enhance resilience and adaptability for SMEs amidst challenging containment conditions. Theoretical implications emphasize the crucial role of dynamic capabilities in navigating uncertainty and volatility during crises, while the practical implications offer valuable guidance for small business owners in developing economies as they strive to mitigate the impacts of containment measures during public health emergencies on their businesses

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  • Amoa-Gyarteng, Karikari & Dhliwayo, Shepherd & Adekomaya, Victoria, 2023. "Navigating containment challenges: A quantitative study of Ghanaian SME performance during the COVID-19 pandemic," Small Business International Review, Asociación Española de Contabilidad y Administración de Empresas - AECA, vol. 7(2), pages 587-587, December.
    • Handle: RePEc:aaz:sbir01:v:7:y:2023:i:2:p:e587
    DOI: 10.26784/sbir.v7i2.587
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    1. Hassan, Tarek & Hollander, Stephan & van Lent, Laurence & Schwedeler, Markus & Tahoun, Ahmed, 2020. "Firm-Level Exposure to Epidemic Diseases: Covid-19, SARS, and H1N1," CEPR Discussion Papers 14573, C.E.P.R. Discussion Papers.
    2. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    3. Apedo Amah,Marie Christine & Avdiu,Besart & Cirera,Xavier & Vargas Da Cruz,Marcio Jose & Davies,Elwyn Adriaan Robin & Grover,Arti Goswami & Iacovone,Leonardo & Kilinc,Umut & Medvedev,Denis & Maduko,Fr, 2020. "Unmasking the Impact of COVID-19 on Businesses : Firm Level Evidence from Across the World," Policy Research Working Paper Series 9434, The World Bank.
    4. Behrman, Douglas N. & Perreault, William Jr., 1982. "Measuring the performance of industrial salespersons," Journal of Business Research, Elsevier, vol. 10(3), pages 355-370, September.
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    More about this item

    Keywords

    dynamic capabilities; SME performance; PLS-SEM; COVID-19 containment measures; developing economies;
    All these keywords.

    JEL classification:

    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups

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