Extracting social media data for analysing operations management performance

Hing Kai Chan, Ewelina Lacka

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Publication statusPublished - 2014
EventBritish Academy of Management Special Interest Group Workshop on Social Media Perspective in Business and Government - Queen Mary University of London, London, United Kingdom
Duration: 31 Mar 2014 → …

Conference

ConferenceBritish Academy of Management Special Interest Group Workshop on Social Media Perspective in Business and Government
CountryUnited Kingdom
CityLondon
Period31/03/14 → …

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Keywords

  • social media
  • operations management
  • business intelligence

Cite this

Chan, H. K., & Lacka, E. (2014). Extracting social media data for analysing operations management performance. Paper presented at British Academy of Management Special Interest Group Workshop on Social Media Perspective in Business and Government , London, United Kingdom.