Relational Capital and financial performance: an empirical analysis on a sample of Italian firms

  • Received November 25, 2017;
    Accepted February 8, 2018;
    Published March 14, 2018
  • Author(s)
    Gianpaolo Iazzolino
    ORCID , Federica Chiappetta , Stefano Chiappetta
  • DOI
    http://dx.doi.org/10.21511/ppm.16(1).2018.24
  • Article Info
    Volume 16 2018, Issue #1, pp. 245-258
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  • Cited by
    3 articles
  • 1530 Views
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This work is licensed under a Creative Commons Attribution 4.0 International License

The aim of this paper is to study the relations existing between the relational capital, both internal and external, and the firm financial performance. The investigation has been carried out on quantitative and qualitative data extracted from a sample of 100 Italian large firms. The paper deeply analyzes the dimension of the internal relational capital, not so widely studied in the literature. Findings demonstrate the influence of the internal relational capital (IRC) and of the external relational capital (ERC) on performance. The research suggests that an effort has to be devoted not only to improving relations with external stakeholders, but also to developing intra-firm relations. The research contributes to studies in management and in particular in internal organization by demonstrating that designing and implementing systems for supporting internal relation can improve firm performance.

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    • Figure 1. Research framework
    • Figure 2. Results of regression within IRC variables
    • Figure 3. Framework of relations with β coefficients
    • Table 1. Scale used for qualitative assessment
    • Table 2. Variables of the internal and external relational capital
    • Table 3. The financial performance indicators considered
    • Table 4. Collinearity diagnosis on IRC variables
    • Table 5. Collinearity diagnosis on ERC variables
    • Table 6. Overview of model 1.2
    • Table 7. ANOVA of model 1.2
    • Table 8. T-test and estimation of regression coefficients for model 1.2
    • Table 9. Overview of model A
    • Table 10. ANOVA of model A
    • Table 11. T-test and estimation of regression coefficients for model A
    • Table 12. Overall regression analysis results
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