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dc.contributor.advisorHarris, Phil
dc.contributor.advisorAlexander, Roy
dc.contributor.advisorMoss, Danny
dc.contributor.authorSidsaph, Henry W.*
dc.date.accessioned2018-10-09T14:28:15Z
dc.date.available2018-10-09T14:28:15Z
dc.date.issued2018-09-28
dc.identifier.citationSidsaph, H. W. (2018). Understanding the role of social media in relation to alternative food networks: a case of Chester and its region. (Doctoral dissertation). University of Chester, United Kingdom.
dc.identifier.urihttp://hdl.handle.net/10034/621471
dc.description.abstractAlternative Food Networks (AFNs) are a system of food provision which is considered as the embodiment of the Sustainable Development (SD) agenda. They typically operate counteractively to conventional food networks (CFNs) seeking to reconnect all members in the supply chain through ethical and sustainable engagements. They are grounded by the theoretical underpinnings of quality conventions (Murdoch, 2000; Thévenot, 2002) and embeddedness notions such as alterity, valorisation, and appropriation (Dansero & Puttilli, 2014; Kirwan, 2004). Many scholars have focused on exploring AFNs in various contexts, initially focusing on binary notions of dichotomy between AFNs and CFNs, then developing discourse in terms of assessing hybridity (Holloway et al., 2006; Maye, 2013; Ponte, 2016; Renting, Marsden, & Banks, 2003; Tregear, 2011). Recent studies have indicated the potential for further research concerning social media based AFNs (Bos & Owen, 2016; Reed & Keech, 2017; Wills & Arundel, 2017). Therefore a contribution in terms of further understanding this issue arises from this thesis. The research was conducted in the midst of the referendum for the UK to withdraw from the European Union, the subsequent ‘leave’ vote resulting in a level of uncertainty in terms of policy implications. One policy implication may be that the UK will have to readdress the way it engages and supports its food and agriculture sector post-Common Agricultural Policy, therefore this research comes at a timely juncture. This research adopts an interpretivistic epistemological stance, with a constructivist ontological position. Social network analysis (SNA) of Twitter connections was conducted in order to assess connectivity and density of the AFN that was present in Chester and its region. Content analysis of this network was then conducted in order to understand SD related terms and shortlist pertinent actors for further analysis. Interviews were conducted with nine actors from this network in order to critically evaluate their perceptions of SD from an online and offline perspective. The results of the SNA suggest that the AFN of Chester and its region was not particularly well connected in terms of density. However, the SNA was a useful data collection tool, especially concerning the replicability and transferability of participant selection strategy. Further results suggested that there was a need for more organisational structures to support AFNs in becoming more mainstream and collaborative. It was also clear that there was still a degree of opposition between CFNs and AFNs, despite hybridity. A final finding of the research is the consideration of smart localism. The implications of this research are discussed, along with suggestions for future research including; the need to better understand leadership, relations between AFNs and CFNs, the role played by intermediates, and the expansion of social media based research.
dc.description.sponsorshipUniversity of Chester Gladstone Fellowship
dc.language.isoenen
dc.publisherUniversity of Chester
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectAlternative Food Networks
dc.subjectsocial media
dc.subjectChester
dc.titleUnderstanding the role of social media in relation to alternative food networks: a case of Chester and its region
dc.typeThesis or dissertation
dc.rights.embargodate2019-03-28
dc.type.qualificationnamePhDen
dc.rights.embargoreasonFuture publication of thesis is planneden
dc.type.qualificationlevelDoctoralen


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