Modelling identity types through agency: part 1 defragmenting identity theory. Issue 6 (5th June 2017)

• Record Type: Journal Article
• Authors: Yolles, Maurice; Di Fatta, Davide
• Is Part Of: Kybernetes. Volume 46:Issue 6(2017)
• Page Start: 1068
• Page End: 1084
• Publication Date: 2017-06-05
• Subjects: Content analysis -- Complex adaptive systems -- Autonomous agency theory -- Identity theory -- Trump election campaign; Cybernetics -- Periodicals; Systems engineering -- Periodicals; 003.505
• DOI: 10.1108/K-03-2017-0113
• Languages: English
• ISSNs: 0368-492X

Abstract

Abstract : Purpose: There is fragmentation in the academic study of identity theory, and it is dislocated from personality theory. The paper aims to develop a model that resolves both of these issues using autonomous agency theory. It is shown that identities can be evaluated using mindset agency theory. Application is then made to a case study of Donald Trump's US election campaign. Design/methodology/approach: In the first of this three-part paper, the fragmented identity theory is examined ontologically to generate a coherent model of multiple identities. Findings: A new coherent model of multiple identities is created. Originality/value: There is not currently any that has created coherent theory of multiple identities.