Measuring trust in an intra-organisational context using Social Network Analysis

Gürsakal, Necmi; Oğuzlar, Ayşe; Aydin, Zehra; Tüzüntürk, Selim

doi:10.1504/ijmed.2009.024238

Cited by 14 publications

(48 citation statements)

References 31 publications

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“…In this study, we address trust at an individual (personal) level that refers, "to the extent to which individuals trust each other within the workplace (reciprocal trust)." (41) ST C4.2…”

Section: Features Of Social Network Analysismentioning

confidence: 99%

“…"Ability of the trustee, which refers to the skills and competencies of the trustee in a speci c domain" (39) Finally, there were two differences identi ed when exploring the presence of certain sub-themes for conceptualisation across CBPR and social network studies. Indeed, the sub-theme C2.6 'strength and quality of relationship' was only identi ed in social network studies, (30,41,52,54) while C2.8 'power sharing and co-ownership' was only recognized in CBPR studies. (43,45,47) Complex concept…”

Section: Relationalmentioning

confidence: 99%

“…(36,44,45,47,55) Features of social network analysis A nal theme that was less common, but emerged across three social network studies, was conceptualising trust in regards to speci c features of social network analysis. (35,41,53) Speci cally, the social network analysis features used to de ne trust speak to the direction of receiving and giving trust, as either bi-directional (reciprocal) or unidirectional (asymmetric). Gursakal et al (41) de ned trust as reciprocal, but then discussed how trust relationships often contain some asymmetry, depending on context:…”

Section: Relationalmentioning

confidence: 99%

“…(35,41,53) Speci cally, the social network analysis features used to de ne trust speak to the direction of receiving and giving trust, as either bi-directional (reciprocal) or unidirectional (asymmetric). Gursakal et al (41) de ned trust as reciprocal, but then discussed how trust relationships often contain some asymmetry, depending on context:…”

Section: Relationalmentioning

confidence: 99%

“…"In this study, we address trust at an individual (personal) level that refers, "to the extent to which individuals trust each other within the workplace (reciprocal trust)." (41) "In a dyadic trust relationship, most of the time, the trust relationship contains an asymmetry. Because of this asymmetry between the partners, one actor may take risks in trust relationships.…”

Section: Relationalmentioning

confidence: 99%

See 4 more Smart Citations

Conceptualising, Operationalising, and Measuring Trust in Participatory Health Research Networks: a Scoping Review

Gilfoyle

MacFarlane

Salsberg

2020

Preprint

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BackgroundThere are many described benefits of community-based participatory research (CBPR), such as increased relevance of research for those who must act on its findings. This has prompted researchers to better understand how CBPR functions to achieve these benefits through building sustainable research partnerships. Several studies have identified ‘trust’ as a key mechanism to achieve sustainable partnerships, which themselves constitute social networks. Although existing literature discuss trust and CBPR, or trust and social networks, preliminary searches reveal that none link all three concepts of trust, CBPR and social networks. Thus, we present our scoping review to systematically review and synthesize the literature exploring how trust is conceptualised, operationalised, and measured in CBPR and social networks.MethodsThis review follows guidelines from Levac et al, which follow the methodological framework of Arksey and O’Malley. We explored several electronic databases including Scopus, Medline, PubMed, Web of Science, CINAHL, Cochrane Library, Google Scholar, and PsychINFO. A search strategy was identified and agreed upon by the team in conjunction with a research librarian. Two independent reviewers screened articles by title and abstract, then by full-text based on pre-determined exclusion/inclusion criteria. A third reviewer arbitrated discrepancies regarding inclusions/exclusions. A thematic analysis was then conducted to identify relevant themes and sub-themes.Results Based on the 26 extracted references, several key themes and sub-themes were identified which highlighted the complexity and multidimensionality of trust as a concept. Our analysis revealed an additional emergent category that highlighted another important dimension of trust – outcomes pertaining to trust. Further, variation within how the studies conceptualised, operationalised, and measured trust was illuminated. Finally, the multidimensionality of trust provided important insight into how trust operates as a context, mechanism and outcome.ConclusionsFindings provide support for future research to incorporate trust as a lens to explore the social-relational aspects of partnerships and the scope to develop interventions to support trust in partnerships.

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“…In this study, we address trust at an individual (personal) level that refers, "to the extent to which individuals trust each other within the workplace (reciprocal trust)." (41) ST C4.2…”

Section: Features Of Social Network Analysismentioning

confidence: 99%

Section: Relationalmentioning

confidence: 99%

Section: Relationalmentioning

confidence: 99%

Section: Relationalmentioning

confidence: 99%

Section: Relationalmentioning

confidence: 99%

See 3 more Smart Citations

Conceptualising, Operationalising, and Measuring Trust in Participatory Health Research Networks: a Scoping Review

Gilfoyle

MacFarlane

Salsberg

2020

Preprint

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The role of networks in policy processes in developing countries: The case of harmonized seed regulations in Malawi

2022

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Networks have increasingly played an essential role in the economic reform policy process in developing countries. However, their policy influence and impact on agriculture and the seed sector are unknown. Therefore, this study used social network analysis to understand the role of the policy networks in Malawi's harmonized seed regulation policy process. Key informant interviews were used for primary data collection for the SNA questionnaires (N = 27). The primary data was complemented by secondary information. Data analysis used network graphs, centrality measures, and descriptive methods to understand the network's governance structure and social interaction. Three centralized networks with external affiliations were identified: seed trade and corporate citizenship representing core‐peripheral networks and the policy advocacy network as a hub‐and‐spoke. The governance structure and type of administration determined the policy networks' influence in advocating for specific policy interests. Strong technical and financial support from international organizations and the government to a network proved critical in Malawi's seed sector policy reform direction. These ensured network trust that was important in bringing cohesion and stability toward a common policy goal. This call for support for those networks representing the underprivileged in developing countries, including civil society.

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The Role of Organizational Factors and Trust on FinTech Adoption in Indian Financial Organizations

Grandhi

Wibowo

Wells

et al. 2022

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distribu

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Measuring trust in an intra-organisational context using Social Network Analysis

Cited by 14 publications

References 31 publications

Conceptualising, Operationalising, and Measuring Trust in Participatory Health Research Networks: a Scoping Review

Conceptualising, Operationalising, and Measuring Trust in Participatory Health Research Networks: a Scoping Review

The role of networks in policy processes in developing countries: The case of harmonized seed regulations in Malawi

The Role of Organizational Factors and Trust on FinTech Adoption in Indian Financial Organizations

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