Crisis Impact on Use of Technology. Evidence from Omnichannel Restaurant Sales during Covid-19 Pandemic
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | ICISE 2022 |
Subtitle of host publication | 2022 7th International Conference on Information Systems Engineering |
Place of Publication | New York, NY |
Publisher | Association for Computing Machinery |
Pages | 52-57 |
ISBN (print) | 9781450397889 |
Publication status | Published - Nov 2022 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Title | 7th International Conference on Information Systems Engineering (ICISE 2022) |
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Location | Virtual |
Place | United States |
City | Charleston |
Period | 4 - 6 November 2022 |
Link(s)
Abstract
This paper shines the light on how the critical outbreak of Covid-19 pandemic affected restaurant consumer's purchase behaviour. With a focus on omnichannel food ordering technology the context captures the rapid development of online sales channels for restaurants in Hong Kong. Particularly focusing on integrated ordering technologies with digital payment capabilities, such as: mobile applications, website, QR code self-service ordering applications.
We conduct a longitudinal field experiment between June 2020 and January 2022 in cooperation with one of the vendors for omnichannel point of sale systems (OPOSS) in Hong Kong. The result captures a panel dataset with the total number of 23 restaurants that have been opened in a continuous order throughout the pandemic. The fixed effect regression model employs an additional dataset on Covid-19 daily cases obtained from census Hong Kong SAR Government data. We apply a moderating effect based on the type of sales channel used in the restaurants. The results show that during the pandemic, some restaurants implemented omnichannel technology to sustain restaurant sales. We observe that consumers start to use omnichannel restaurant ordering technologies during the pandemic outbreak. More importantly, we find supporting evidence that after the outbreak, the omnichannel technology use behaviour among consumers remains continuous. © Copyright held by the owner/author(s). Publication rights licensed to ACM.
We conduct a longitudinal field experiment between June 2020 and January 2022 in cooperation with one of the vendors for omnichannel point of sale systems (OPOSS) in Hong Kong. The result captures a panel dataset with the total number of 23 restaurants that have been opened in a continuous order throughout the pandemic. The fixed effect regression model employs an additional dataset on Covid-19 daily cases obtained from census Hong Kong SAR Government data. We apply a moderating effect based on the type of sales channel used in the restaurants. The results show that during the pandemic, some restaurants implemented omnichannel technology to sustain restaurant sales. We observe that consumers start to use omnichannel restaurant ordering technologies during the pandemic outbreak. More importantly, we find supporting evidence that after the outbreak, the omnichannel technology use behaviour among consumers remains continuous. © Copyright held by the owner/author(s). Publication rights licensed to ACM.
Research Area(s)
- Digital transformation, Omnichannel, User behaviour
Bibliographic Note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
Citation Format(s)
Crisis Impact on Use of Technology. Evidence from Omnichannel Restaurant Sales during Covid-19 Pandemic. / Podkorytov, Roman; Sun, Weiwei; Kwok, Ron Chi-Wai.
ICISE 2022: 2022 7th International Conference on Information Systems Engineering. New York, NY: Association for Computing Machinery, 2022. p. 52-57 (ACM International Conference Proceeding Series).
ICISE 2022: 2022 7th International Conference on Information Systems Engineering. New York, NY: Association for Computing Machinery, 2022. p. 52-57 (ACM International Conference Proceeding Series).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review