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Seminar : Neva Bojovic & Damian O'Doherty

[16] [Feb 2018] [ 3:15 pm] [ ]


Seminar : How to build value based on usage: from technology-as-practice towards understanding usage ecosystems

 Neva Bojovic  Neva is a PhD student in the CHESS (Connected Health Early Researcher Support System) program, and part of the Business Model Research team. Her thesis subject is Designing Business Models for Multi-sided Markets in Health and her research is focused on how business models enable the development of devices, databases and services for connected digital health. She works actively on the topic of Business model from 2012 and she published several papers on Business model innovation in media and health industry. She holds a BS in Economic Sciences and an MA in Marketing. 

Seminar : Extending Politics in Organization Studies: The Bob Cut and ‘Crinicultural’ Politics

 Damian O'Doherty graduated from the University of Warwick in 1991 with a Masters degree in Industrial Relations. He was employed from 1991 as a lecturer in Human Resource Management in the Business School at DeMontfort University before joining the Organizational Analysis Group in The Manchester School of Management, UMIST in October 1999. Damian has written and published in the areas of human resource management, organization theory, and labour process analysis. He is currently working on papers concerned with the question of speed in organization, David Lynch and new organized 'hauntologies', 'motorvation', radical forms of pedagogy in organization, and a paper which addresses the question of new developments in organization theory. Damian hosts a working postructuralism reading group in the School, which provides a forum for academics to read and discuss the work of Nietzsche, Heidegger, Bataille, Foucault, Derrida, and Deleuxe and Guattari, and their relevance for questions of management and organization. Future developments include work on issues around sloth, ennui, and psychosis in organization, and has a growing interest in reflexity in organization analysis.

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