Unleashing the power of social media data in business decision making: an exploratory study

Li, Xinwei, Tse, Ying ORCID: https://orcid.org/0000-0001-6174-0326 and Fastoso, Fernando 2024. Unleashing the power of social media data in business decision making: an exploratory study. Enterprise Information Systems 18 (1) , 2243603. 10.1080/17517575.2023.2243603 Item availability restricted.

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Abstract

This study systematically reviews the research on applying social media data (SMD) in business decision-making. We applied bibliometric mapping and a Latent Dirichlet Allocation topic modelling approach to conduct a systematic literature review. Results show that research to date has uncovered that sentiment analysis and opinion mining supported businesses in observing, analysing and predicting customer behaviour in various sectors. However, descriptive and predictive analyses are prevalent, while prescriptive analyses on SMD are rare. Our analysis highlights the need for future research to shed light onto newly discovered forms of SMD increasing the accuracy of sentiment detection with concept-level analysis.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Taylor and Francis Group
ISSN:	1751-7575
Date of First Compliant Deposit:	6 September 2023
Date of Acceptance:	30 July 2023
Last Modified:	21 Mar 2024 16:37
URI:	https://orca.cardiff.ac.uk/id/eprint/162275

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