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Crisis Impact on Use of Technology. Evidence from Omnichannel Restaurant Sales during Covid-19 Pandemic

Published: 26 February 2023 Publication History

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.

References

[1]
Abbasi, A., Dillon-Merrill, R., Rao, H. R., Sheng, O., & Chen, R. (2021). Call for Papers—Special Issue of Information Systems Research—Unleashing the Power of Information Technology for Strategic Management of Disasters. Information Systems Research, 32(4), 1490-1493.
[2]
Alekseev, G., Amer, S., Gopal, M., Kuchler, T., Schneider, J. W., Stroebel, J., & Wernerfelt, N. (2022). The Effects of COVID-19 on U.S. Small Businesses: Evidence from Owners, Managers, and Employees. Management Science. https://doi.org/10.1287/mnsc.2022.4327
[3]
Bar-Gill, S., & Reichman, S. (2021). Stuck Online: When Online Engagement Gets in the Way of Offline Sales. MIS Quarterly, 45(2), 755-788. https://doi.org/10.25300/misq/2021/15267
[4]
Ben Mimoun, M. S., Lancelot Miltgen, C., & Slama, B. (2022). Is the shopper always the king/queen? Study of omnichannel retail technology use and shopping orientations. Journal of Retailing and Consumer Services, 65, 102844. https://doi.org/10.1016/j.jretconser.2021.102844
[5]
Chakraborty, D. (2021). Exploring the meteoric rise of online food ordering apps (OFOAs): the moderating role of visibility. British Food Journal.
[6]
Chou, Y.-C., & Shao, B. (2021). Adoption and performance of mobile sales channel for e-retailers: Fit with m-retail characteristics and dependency on e-retailing. Information Systems Frontiers, 23(3), 681-694.
[7]
Francioni, B., Curina, I., Hegner, S. M., & Cioppi, M. (2022). Predictors of continuance intention of online food delivery services: gender as moderator. International Journal of Retail & Distribution Management(ahead-of-print).
[8]
Hardin, A., Schneider, C., & Davison, R. M. (2021). Established theory rejection. Information Systems Journal, 32(1), 1-4. https://doi.org/10.1111/isj.12360
[9]
Hausman, C., & Rapson, D. S. (2017). Regression discontinuity in time: Considerations for empirical applications.
[10]
Heiman, A., Reardon, T., & Zilberman, D. (2022). The Effects of COVID-19 on the Adoption of “On-the-Shelf Technologies”: Virtual Dressing Room Software and the Expected Rise of Third-Party Reverse-Logistics. Service Science, 14(2), 179-194. https://doi.org/10.1287/serv.2022.0300
[11]
Karniouchina, K., Sarangee, K., Theokary, C., & Kübler, R. (2022). The Impact of the COVID-19 Pandemic on Restaurant Resilience: Lessons, Generalizations, and Ideas for Future Research. Service Science, 14(2), 121-138. https://doi.org/10.1287/serv.2021.0293
[12]
Kim, C., Kang, H. J., Chung, K., & Choi, K. (2021). COVID-19 and Hotel Productivity Changes: An Empirical Analysis Using Malmquist Productivity Index. Service Science, 13(4), 243-257. https://doi.org/10.1287/serv.2021.0283
[13]
Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003). The Technology Acceptance Model: Past, Present, and Future. Communications of the Association for Information Systems, 12, 50. https://doi.org/10.17705/1CAIS.01250
[14]
Lin, S.-W., Huang, E. Y., & Cheng, K.-T. (2022). A binding tie: why do customers stick to omnichannel retailers? Information technology & people (West Linn, Or.). https://doi.org/10.1108/ITP-01-2021-0063
[15]
Liu, Q., Shen, Q., Li, Z., & Chen, S. (2021). Stimulating consumption at low budget: evidence from a large-scale policy experiment amid the COVID-19 pandemic. Management Science, 67(12), 7291-7307.
[16]
Lynch Jr, J. G., & Ariely, D. (2000). Wine online: Search costs affect competition on price, quality, and distribution. Marketing Science, 19(1), 83-103.
[17]
Menon, R. R., Niranjan, T. T., & Simpson, D. (2022). Service Supply Chain Fit: Consistency Between Operant Resources and Service Supply Chains. Service Science, 14(2), 156-178. https://doi.org/10.1287/serv.2022.0299
[18]
Moraffah, R., Sheth, P., Karami, M., Bhattacharya, A., Wang, Q., Tahir, A., Raglin, A., & Liu, H. (2021). Causal inference for time series analysis: problems, methods and evaluation. Knowledge and Information Systems, 63(12), 3041-3085. https://doi.org/10.1007/s10115-021-01621-0
[19]
Purnomo, B. R., Adiguna, R., Widodo, W., Suyatna, H., & Nusantoro, B. P. (2021). Entrepreneurial resilience during the Covid-19 pandemic: navigating survival, continuity and growth. Journal of Entrepreneurship in Emerging Economies, 13(4), 497-524. https://doi.org/10.1108/jeee-07-2020-0270
[20]
Sanghee, L., Terence, J. V. S., Suresh, M., & Nigel, P. M. (2013). Theories Used in Information Systems Research: Insights from Complex Network Analysis. JITTA, 14(2), 5.
[21]
Siedner, M. J., Harling, G., Reynolds, Z., Gilbert, R. F., Haneuse, S., Venkataramani, A. S., & Tsai, A. C. (2020). Social distancing to slow the US COVID-19 epidemic: Longitudinal pretest-posttest comparison group study. PLoS Med, 17(8), e1003244. https://doi.org/10.1371/journal.pmed.1003244
[22]
Sim, J., Cho, D., Hwang, Y., & Telang, R. (2022). Frontiers: Virus Shook the Streaming Star: Estimating the COVID-19 Impact on Music Consumption. Marketing Science, 41(1), 19-32. https://doi.org/10.1287/mksc.2021.1321
[23]
Su, D. N., Nguyen, N. A. N., Nguyen, L. N. T., Luu, T. T., & Nguyen-Phuoc, D. Q. (2022). Modeling consumers’ trust in mobile food delivery apps: perspectives of technology acceptance model, mobile service quality and personalization-privacy theory. Journal of Hospitality Marketing & Management, 1-35.
[24]
Trenz, M., Veit, D. J., & Tan, C.-W. (2020). Disentangling the Impact of Omnichannel Integration on Consumer Behavior in Integrated Sales Channels. MIS Quarterly, 44(3), 1207-1258. https://doi.org/10.25300/MISQ/2020/14121
[25]
Walsman, M. C. (2022). Operational Adaptation and Innovation During COVID-19: Lessons Learned from Consulting and a Road Map for the Future. Service Science, 14(2), 195-212. https://doi.org/10.1287/serv.2022.0301
[26]
Wang, X., Wong, Y. D., & Yuen, K. F. (2021). Does COVID-19 Promote Self-Service Usage among Modern Shoppers? An Exploration of Pandemic-Driven Behavioural Changes in Self-Collection Users. International Journal of Environmental Research and Public Health, 18(16), 8574. https://www.mdpi.com/1660-4601/18/16/8574
[27]
Yang, C.-C., Chen, Y.-S., & Chen, J. (2022). The Impact of the COVID-19 Pandemic on Food Consumption Behavior: Based on the Perspective of Accounting Data of Chinese Food Enterprises and Economic Theory. Nutrients, 14(6), 1206. https://www.mdpi.com/2072-6643/14/6/1206

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      ICISE '22: Proceedings of the 7th International Conference on Information Systems Engineering
      November 2022
      86 pages
      ISBN:9781450397889
      DOI:10.1145/3573926
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 26 February 2023

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      Author Tags

      1. Digital transformation
      2. Omnichannel
      3. User behaviour

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