Strategic Early Warning System for the French milk market: A graph theoretical approach to foresee volatility

dc.contributor.authorBisson, Christophe
dc.contributor.authorDiner, Öznur Yaşar
dc.date.accessioned2019-06-27T08:01:23Z
dc.date.available2019-06-27T08:01:23Z
dc.date.issued2017
dc.departmentFakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümüen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThis paper presents a new approach for developing a Strategic Early Warning System aiming to better detect and interpret weak signals. We chose the milk market as a case study in line with the recent call from the EU Commission for governance tools which help to better address such highly volatile markets. Furthermore on the first of April 2015 the new Common Agricultural Policy ended quotas for milk which led to a milk crisis in the EU. Thus we collaborated with milk experts to get their inputs for a new model to analyse the competitive environment. Consequently we constructed graphs to represent the major factors that affect the milk industry and the relationships between them. We obtained several network measures for this social network such as centrality and density. Some factors appear to have the largest major influence on all the other graph elements while others strongly interact in cliques. Any detected changes in any of these factors will automatically impact the others. Therefore scanning ones competitive environment can allow an organisation to get an early warning to help it avoid an issue (as much as possible) and/or seize an opportunity before its competitors. We conclude that Strategic Early Warning Systems as a corporate foresight approach utilising graph theory can strengthen the governance of markets. (C) 2017 Elsevier Ltd. All rights reserved.en_US]
dc.identifier.citation11
dc.identifier.doi10.1016/j.futures.2017.01.004en_US
dc.identifier.endpage23
dc.identifier.issn0016-3287en_US
dc.identifier.issn1873-6378en_US
dc.identifier.issn0016-3287
dc.identifier.issn1873-6378
dc.identifier.scopus2-s2.0-85011342778en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage10en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/364
dc.identifier.urihttps://doi.org/10.1016/j.futures.2017.01.004
dc.identifier.volume87en_US
dc.identifier.wosWOS:000399625100002en_US
dc.identifier.wosqualityQ1
dc.institutionauthorBisson, Christopheen_US
dc.institutionauthorDiner, Öznur Yaşaren_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.journalFuturesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectStrategic Early Warning Systemen_US
dc.subjectScenario analysisen_US
dc.subjectGraph theoryen_US
dc.subjectCorporate foresighten_US
dc.subjectScanningen_US
dc.subjectMilk marketen_US
dc.titleStrategic Early Warning System for the French milk market: A graph theoretical approach to foresee volatilityen_US
dc.typeArticleen_US
dspace.entity.typePublication

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