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Mutual Trustworthiness as a Governance Mechanism in Business Relationships – A Dyadic Data Analysis

Author

Listed:
  • Andrea Gelei

    (Corvinus University of Budapest, Faculty of Business Administration, Department of Logistics and Supply Chain Management)

  • Imre Dobos

    (Corvinus University of Budapest, Faculty of Business Administration, Department of Logistics and Supply Chain Management)

Abstract

Based on a literature review, we develop a research profile that illustrates that survey-based, trust-related empirical research has severe limitations. It usually carries out general relationship analysis using single end or quasi two-sided sampling and classic statistical constructs. We designed and carried out an empirical research that was highly situational, applied dyadic operationalisation, pairwise sampling, and dyadic data analysis – a special statistical approach and toolset developed by psychologists and used to analyse interdependencies in relationships. Our main contribution is methodological and theoretical since the paper gives a structured overview on the methodological challenges in analysing mutuality in trust, but also in other relational attributes. The paper not only makes these methodological problems explicit, but also offers a potential solution to overcome some of their limitations.

Suggested Citation

  • Andrea Gelei & Imre Dobos, 2016. "Mutual Trustworthiness as a Governance Mechanism in Business Relationships – A Dyadic Data Analysis," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 66(4), pages 661-684, December.
    • Handle: RePEc:aka:aoecon:v:66:y:2016:i:4:p:661-684
    Note: The project is supported by the Hungarian Scientific Research Fund (OTKA), project No. K 115542.
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    File URL: http://www.akademiai.com/doi/pdf/10.1556/032.2016.66.4.5
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    Citations

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    Cited by:

    1. Szabó, Zs. Roland & Horváth, Dóra & Hortoványi, Lilla, 2019. "Hálózati tanulás az ipar 4.0 korában [Network learning in the 4.0 era of industry]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 72-94.

    More about this item

    Keywords

    business relationship; trust; trustworthiness; governance; mutuality; pairwise sampling; dyadic data analysis;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General

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