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Who benefits most? The effects of managerial assistance on high- versus low-performing small businesses

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  • Seo, Joo Hwan
  • Perry, Vanessa G.
  • Tomczyk, David
  • Solomon, George T.
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    Abstract

    This study investigates the relationship between outside managerial assistance and small business performance using a conditional quantile regression approach. The model was tested using a sample of 902 ventures that received managerial or technical assistance from the U.S. Small Business Administration's Entrepreneurial Development Resource Partners. Results show that outside assistance for primary business functions, such as marketing strategy, promotional strategy, financial management and general management, is more effective for firms with lower levels of financial performance. Outside assistance for secondary business functions, such as human resources and obtaining capital, is likely to have a greater impact on firms in the middle- to upper-quantile levels. Based on the results, we propose that managerial outside assistance providers should employ different approaches for firms with lower versus higher levels of financial performance.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Business Research.

    Volume (Year): 67 (2014)
    Issue (Month): 1 ()
    Pages: 2845-2852

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    Handle: RePEc:eee:jbrese:v:67:y:2014:i:1:p:2845-2852

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    Web page: http://www.elsevier.com/locate/jbusres

    Related research

    Keywords: Technical assistance; Small business performance; Primary and secondary business functions; Quantile regression;

    References

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    Cited by:
    1. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2014. "A new quantile regression forecasting model," Journal of Business Research, Elsevier, vol. 67(5), pages 779-784.

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