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Evidence-based modelling of organizational social capital with incomplete data: an NCaRBS analysis

Beynon, Malcolm James ORCID: and Andrews, Rhys William ORCID: 2014. Evidence-based modelling of organizational social capital with incomplete data: an NCaRBS analysis. Presented at: BELIEF 2014: 3rd International Conference on Belief Functions, Oxford, UK, 26-28 September 2014. Published in: Cuzzolin, Fabio ed. Belief Functions: Theory and Applications: Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceeding. Lecture Notes in Computer Science. Lecture Notes in Computer Science , vol.8764 Springer, pp. 237-246. 10.1007/978-3-319-11191-9_26

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Organizational social capital is critical to effective organizational functioning. Yet, different aspects of social capital are likely to be present to varying degrees within any given organization. In this study, alternative blends of structural, relational and cognitive social capital are modelled using a range of key organizational variables drawn from an incomplete dataset. A novel evidence-based approach to the ambiguous classification of objects (N-state Classification and Ranking Belief Simplex or NCaRBS) is used for the analysis. NCaRBS is uniquely able to capture the full range of ambiguity in the antecedents and effects of social capital, and to do so by incorporating incomplete data without recourse to the external management of the missing values. The study therefore illustrates the multi-faceted potential of analytical techniques based on uncertain reasoning, using the Dempster-Shafer theory of evidence methodology.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Springer
ISBN: 9783319111902
ISSN: 0302-9743
Date of First Compliant Deposit: 30 March 2016
Last Modified: 07 Nov 2023 02:19

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