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Market(ing) Wisdom Differences between Family and Non-Family Firms: An Empirical Study on Small and Medium Enterprises

Author

Listed:
  • Arsalan Mujahid Ghouri

    (University Pendidikan Sultan Idris, Perak, Malaysia)

  • Naveed R. Khan

    (Bahria University, Karachi, Pakistan)

  • Mustafa R. Khan

    (University Pendidikan Sultan Idris, Perak, Malaysia)

  • V. G. Venkatesh

    (EM Normandie Busiess School, METIS Lab, Le Havre, France)

  • Hari Srivastava

    (Auckland University of Technology, Auckland, New Zealand)

Abstract

In today’s competitive business environment, family and non-family small and medium enterprises (SMEs) strive to survive despite many challenges. Market knowledge and marketing efforts are crucial for them to sustain and enhance business with limited resources. In this paper, we examined three constructs (i) market orientation, (ii) marketing capabilities and (iii) marketing practices impact on the SMEs’ service sector performance. The interaction effect of ownership type (family and non-family firms) was also observed in the model. Data was collected from 240 SMEs in three major metropolitan cities. This study found positive relationships of each construct (market orientation, (ii) marketing capabilities and (iii) marketing practices) on firm performance as hypothesised. The interaction effect of ownership type i.e. family and non-family, evident on marketing capabilities and SMEs’ performance. Non-family businesses are open for adopting new ideas and personnel into decision making. Family firms should be more adaptable to compete with non-family firms. The managerial and theoretical implications discussed in family and non-family firms’ perspective.

Suggested Citation

  • Arsalan Mujahid Ghouri & Naveed R. Khan & Mustafa R. Khan & V. G. Venkatesh & Hari Srivastava, 2020. "Market(ing) Wisdom Differences between Family and Non-Family Firms: An Empirical Study on Small and Medium Enterprises," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 28(02), pages 171-200, June.
    • Handle: RePEc:wsi:jecxxx:v:28:y:2020:i:02:n:s0218495820500089
    DOI: 10.1142/S0218495820500089
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    Cited by:

    1. Maya Vachkova & Arsalan Ghouri & Haidy Ashour & Normalisa Binti Md Isa & Gregory Barnes, 2023. "Big data and predictive analytics and Malaysian micro-, small and medium businesses," SN Business & Economics, Springer, vol. 3(8), pages 1-28, August.

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