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

Andrea Gelei and Imre Dobos ()

Acta Oeconomica, 2016, vol. 66, issue 4, 661-684

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.

Keywords: business relationship; trust; trustworthiness; governance; mutuality; pairwise sampling; dyadic data analysis (search for similar items in EconPapers)
JEL-codes: C49 D22 L20 M20 (search for similar items in EconPapers)
Date: 2016
Note: The project is supported by the Hungarian Scientific Research Fund (OTKA), project No. K 115542.
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