Special Issue: Social Media Data in Business Decision-Making
The rapid development of social media platforms provides managers/policymakers rich data sources to analyse customer comments to support decision-making processes. However, the nature of social media data has several obstacles to overcome to treat it as the primary data source: (i) capture the correct data set; (ii) poor intensity of useful data; (iii) reliability of the data content (e.g. fake data). This paper collection is an attempt to respond to the above challenges. These articles adopt different research methods, including social media analytics, survey-based research, simulation experiment, mixed-method (econometric and text-mining). The researchers studied how massive social media data can be used as an important input of a company’s decision-making and strategy. Most importantly, this collection shows how various social media data are integrated into the analytical framework and the reasoning behind the process. As a result, firms that make better use of social media data engage with stakeholders are likely to respond to incredibly fast-paced markets effectively.
Edited by
Principle Guest Editor: Ying Kei TSE(Cardiff University, UK)
Co-Guest Editor: C.H. WU(The Hang Seng University of Hong Kong, China)
Co-Guest Editor: Pervaiz AKHTAR(University of Hull, UK)
Co-Guest Editor: Yongyi SHOU(Zhejiang University, China)