A bayesian network analysis of ethical behavior

dc.citation.epage115en_US
dc.citation.issueNumber1en_US
dc.citation.spage96en_US
dc.citation.volumeNumber36en_US
dc.contributor.authorEkici, A.en_US
dc.contributor.authorEkici, S. O.en_US
dc.date.accessioned2018-04-12T11:03:01Z
dc.date.available2018-04-12T11:03:01Z
dc.date.issued2016en_US
dc.departmentDepartment of Managementen_US
dc.description.abstractUsing one of the major domains of macromarketing – ethics – this paper aims to introduce the Bayesian network (BN) method and demonstrate its added value for macro-level decision makers. Bayesian networks are particularly important for macromarketers because they allow researchers to analyze a domain from a system perspective. The BN approach is considered one of the most powerful tools for observing system changes. The method can also deal with multiple variables at once, which can lead to efficient scenario analyses, critical for understanding how a system functions. As such, BNs offer a powerful tool for macromarketers who deal with systems, interactions, and higher levels of aggregation. We believe that the adoption of this methodology by macromarketing researchers is likely to contribute to the discipline by advancing the understanding of how certain systemic/network relationships and various domains of macromarketing work.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:03:01Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016en
dc.identifier.doi10.1177/0276146715607620en_US
dc.identifier.issn0276-1467
dc.identifier.urihttp://hdl.handle.net/11693/37108
dc.language.isoEnglishen_US
dc.publisherSAGE Publications Inc.en_US
dc.relation.isversionofhttps://doi.org/10.1177/0276146715607620en_US
dc.source.titleJournal of Macromarketingen_US
dc.subjectBayesian networken_US
dc.subjectEconomic developmenten_US
dc.subjectEthicsen_US
dc.subjectMacromarketing methoden_US
dc.subjectSystemsen_US
dc.titleA bayesian network analysis of ethical behavioren_US
dc.typeArticleen_US

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