Extracting social media data for analysing operations management performance

Tools

Chan, Hing Kai and Lacka, Ewelina (2014) Extracting social media data for analysing operations management performance. In: British Academy of Management Special Interest Group Workshop on Social Media Perspective in Business and Government, 2014-03-31, Queen Mary University of London.

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Abstract

The aim of this study is to explore a proper approach to analyse social media data for operations management applications. The main objective is to help identify the factors/themes/issues from the social media data through content and cluster analysis. Applications could be linked to product development, process design, and also supply chain management. This can then associate to and facilitate decision-making research, which is the main concern of operations management research. The focus of this paper is put on product innovation management, as a demonstration, with respect to different operations management performance indicators in order to demonstrate the concept. Product innovation management has an important relationship to operations management.

ORCID iDs

Chan, Hing Kai and Lacka, Ewelina ORCID logoORCID: https://orcid.org/0000-0003-4911-2030;
CORE (COnnecting REpositories)