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Title: Using social media to inform supplier selection in new product introduction
Authors: Robaty Shirzad, Sara
Advisors: Bell, D
Lycett, M
Keywords: E-procurement;Marketplaces;Social media;Supplier selection;E-procurement marketplaces
Issue Date: 2014
Publisher: Brunel University, School of Information Systems, Computing and Mathematics
Abstract: Supplier networks today are seeing a complete redirection in their purpose from a decade ago. Supplier networks focused originally on transaction-oriented exchanges for sending purchase orders electronically. However, based on the current increased need to understand business risks, supplier networks are demonstrating a clear shift in emphasis from establishing “transaction-based focus” relationships towards the evolution of network platforms. The Aberdeen Group (2011) demonstrates that 76 per cent of supplier networks increasingly are being used to identify new suppliers and market opportunities. Moreover, with social-networking features similar to Twitter, LinkedIn and Facebook (which are very recent phenomena), supplier networks have become more important in their role of spending management based on the ability to help organisations identify new suppliers while sharing information with other buyer organizations. Therefore, analysing data from supplier networks today has become a necessary strategy for optimizing transaction-focused procurement, in addition to improving supplier relationships. With this in mind, the Social Media Domain Analysis (SoMeDoA) framework has been developed to facilitate the decision-making process for selecting flexible suppliers within the e-procurement-based marketplace and apply it to a real set of data gathered from two social-networking sites (Twitter and LinkedIn). The research contributes a rigorous method that analyses effectively domain concepts and relations between notions from social networks and builds the domain ontology. The effectiveness of the framework, in analysing domain and relations, is evaluated by its application to varying datasets gathered from social networks, including the pharmaceutical domain. This model extrapolates findings from stages in the research and marries elements from various papers and frameworks therein, in order to produce a guideline model for organisations seeking a suitable supplier with whom to work. The results of the evaluation are encouraging, and provide concrete outcomes in an area that is little researched.
Description: This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University
Appears in Collections:Computer Science
Dept of Computer Science Theses

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