Supply chain insights from social media users' responses to panic buying during COVID-19: the herd mentality
Asia Pacific Journal of Marketing and Logistics
; 35(2):290-306, 2023.
Article
in English
| ProQuest Central | ID: covidwho-2236981
ABSTRACT
Purpose>This study applied the herd mentality theory to explore local and global social media users' responses to panic buying across the USA, UK and Australia during the COVID-19 crisis to understand the implications on operations and supply chains.Design/methodology/approach>A total of 208,806 social media user-generated content (UGC) pieces were collected from Twitter in three countries – the USA, UK and Australia. The analysis of this big qualitative data was performed using machine learning–based software – Leximancer.Findings>Positive and negative sentiment towards panic buying during the COVID-19 crisis was observed in the UGC. No significant differences in social media UGC sentiment between the three countries were found;however, differences did exist in key themes. This suggests that the focus, not the sentiment, of consumers' responses to panic buying differed across countries. Social media users follow their location-based and topic-consonant social "herd”, rather than the global "herd”.Research limitations/implications>This study was the first to show that social media users' herd mentality differs in a crisis. The herd mentality of social networks is dependent on factors such as the geographic location of the social network (herd), which can differ from the global herd's reaction, specifically in terms of topics evident in UGC.Practical implications>Operations and supply chain managers need to include social media UGC analysis in their strategies in crisis management responses. The topics, not the sentiment, of consumers' responses to panic buying require managerial actions.Originality/value>This is the first study to show that herd mentality during a crisis, such as COVID-19, is not unidimensional and varies according to the location of the social media network with profound implications for operations and supply chain managers.
Business And Economics; Crisis response; User-generated content; Leximancer; Crisis; Big data analysis; Herd mentality; Big Data; Consumer behavior; Consumers; Trends; Social network analysis; Pandemics; Decision making; Social networks; Medical research; User generated content; Supply chains; Logistics; Production capacity; Coronaviruses; Trade restrictions; Suppliers; COVID-19
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Qualitative research
Language:
English
Journal:
Asia Pacific Journal of Marketing and Logistics
Year:
2023
Document Type:
Article
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