Dynamic capabilities of family business: a catalyst for survival and growth

  • Received December 11, 2020;
    Accepted January 25, 2021;
    Published February 10, 2021
  • Author(s)
  • DOI
  • Article Info
    Volume 19 2021, Issue #1, pp. 137-150
  • Cited by
    6 articles

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The purpose of the study is to investigate the dynamic capabilities of family business as a catalyst for survival and growth in Nigeria. A quantitative technique involving a descriptive survey was adopted for the study. A questionnaire measurement instrument was constructed and deployed on a sample of 410 respondents in the selected family businesses. Copies of the questionnaire measurement instrument were conveniently distributed to employees of the selected family businesses to obtain data for the study. Exploratory Factor Analysis (EFA) was used to validate the constructs in the measurement instrument. Structural Equation Modeling (SEM) was used to estimate the structural relationship between constructs of family business dynamic capabilities for survival and growth. The results showed that sensing and seizing, learning and reconfiguration and succession planning capabilities of family business have a significant positive effect on survival and growth. Therefore, family business managers should effectively deploy sensing and seizing, learning and reconfiguration and succession planning capabilities to enhance business survival and growth.

The authors express gratitude to anonymous reviewers, the journal editor and all the authors whose works were used in this study. The authors are grateful to the management of the family businesses included in the study for their approval for the administration of the questionnaire instrument and to the survey respondents who gave their views on the issues raised in the questionnaire instrument.

view full abstract hide full abstract
    • Figure 1. Path analysis of the questionnaire measurement model
    • Figure 2. Structural path analysis of the study model
    • Table 1. Measurement instrument
    • Table 2. Results for the factor structures of the measurement instrument
    • Table 3. Hypotheses test results
    • Conceptualization
      Morgan Morgan, Emmanuel E. Okon
    • Formal Analysis
      Morgan Morgan, Emmanuel E. Okon, Christian Amadi, Winifred Emu, Anthony Ogar
    • Methodology
      Morgan Morgan, Christian Amadi
    • Project administration
      Morgan Morgan
    • Software
      Morgan Morgan
    • Writing – original draft
      Morgan Morgan
    • Funding acquisition
      Emmanuel E. Okon, Christian Amadi, Winifred Emu
    • Supervision
      Emmanuel E. Okon, Anthony Ogar
    • Writing – review & editing
      Christian Amadi, Winifred Emu
    • Investigation
      Winifred Emu, Anthony Ogar
    • Data curation
      Anthony Ogar