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An Evaluation of Performance and Competition in Customer Services on Twitter: A UK Telecoms Case Study

Nabeel Albishry, Tom Crick Orcid Logo, Theo Tryfonas Orcid Logo, Tesleem Fagade

Proceedings of The Web Conference 2018, Pages: 1713 - 1720

Swansea University Author: Tom Crick Orcid Logo

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DOI (Published version): 10.1145/3184558.3191631

Abstract

With an increasing number of consumers using social media platforms to share both their satisfaction and displeasure about the products and services they use every day, organisations with a customer service focus are recognising the importance of rapid--and genuine--online engagement with their cust...

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Published in: Proceedings of The Web Conference 2018
ISBN: 978-1-4503-5640-4
Published: Lyon, France ACM 2018
Online Access: https://dl.acm.org/citation.cfm?doid=3184558.3191631
URI: https://cronfa.swan.ac.uk/Record/cronfa43572
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Abstract: With an increasing number of consumers using social media platforms to share both their satisfaction and displeasure about the products and services they use every day, organisations with a customer service focus are recognising the importance of rapid--and genuine--online engagement with their customers. In turn, consumers increasingly judge organisations on the quality of customer service and degree of responsiveness to online queries. This paper presents an extensible framework for evaluating direct engagements of customer service teams with customers on Twitter. Furthermore, this framework provides the capability to measure and analyse indirect engagement with industry sector rivals, especially their patterns, frequency and intensity. By applying graph analysis to these Twitter interactions, our framework generates various analytical measures and visual representations, exemplified through a case study based on seven major UK telecoms companies. With a dataset consisting of 15,000 tweets and 3,500 user profiles, the results provide sustained evidence for indirect engagements between business rivals, with customer queries acting as a trigger for intense competition between companies based in the same industry sub-domain.
Item Description: Social Sensing and Enterprise Intelligence: Towards a Smart Enterprise Transformation
Keywords: Customer services, reply chains, graph construction, social network analysis, Twitter, social media
College: Faculty of Humanities and Social Sciences
Start Page: 1713
End Page: 1720