The spread of COVID-19 across the globe has produced global and possibly persistent economic disruption. This study follows the design science research process and conducts qualitative and quantitative analysis to identify and investigate Canadian agri-food company responses to COVID-19. The results show the possibility of capturing companies’ responses from web-based data, the breadth of responses, and the relationships between the communication of corporate responses and their reception among social media users. Divergences of regression results across different languages are also discussed in this paper. The findings will help academic researchers, business leaders and policymakers understand corporate responses and subsequent reactions better.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/42805 |
| Date | 12 October 2021 |
| Creators | Zhu, Ye |
| Contributors | Schillo, Sandra |
| Publisher | Université d'Ottawa / University of Ottawa |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
Page generated in 0.0155 seconds