Impacts of the COVID-19 pandemic on grocery retail operations: An analytical model
Corresponding Author
Mohammad Delasay
College of Business, Stony Brook University, Stony Brook, New York, USA
Correspondence
Mohammad Delasay, College of Business, Stony Brook University, 348 Harriman Hall, Stony Brook, NY 11794-3775, USA.
Email: [email protected]
Search for more papers by this authorAditya Jain
Zicklin School of Business, Baruch College, New York, New York, USA
Search for more papers by this authorSubodha Kumar
Fox School of Business, Temple University, Philadelphia, Pennsylvania, USA
Search for more papers by this authorCorresponding Author
Mohammad Delasay
College of Business, Stony Brook University, Stony Brook, New York, USA
Correspondence
Mohammad Delasay, College of Business, Stony Brook University, 348 Harriman Hall, Stony Brook, NY 11794-3775, USA.
Email: [email protected]
Search for more papers by this authorAditya Jain
Zicklin School of Business, Baruch College, New York, New York, USA
Search for more papers by this authorSubodha Kumar
Fox School of Business, Temple University, Philadelphia, Pennsylvania, USA
Search for more papers by this authorHandling editor: Sushil Gupta
Accepted by Sushil Gupta, after three revisions.
Abstract
The COVID-19 pandemic has had profound effects on grocery retailers, forcing them to make many operational changes in response to public health concerns and the shift in customers' shopping behavior. Grocery retailers need to understand the impact of pandemic conditions on their operations, but the literature has not modeled and analyzed this issue. We bridge this gap through economic models that consider the documented changes in the customers' shopping behavior during the COVID-19 pandemic, including less frequent in-store shopping and bulk-shopping tendency. We capture the impact of occupancy limitation guidelines on grocery retailers' service capacity, customers' shopping behavior, and, consequently, on the retailers' store traffic and profit. We find that though store occupancy limitations reduce the in-store foot traffic (which helps with curbing the disease spread), interestingly, they do not necessarily result in a profit decline. Under occupancy limitations and when the retailer offers the delivery or curbside pickup service, our analyses highlight the externality impact of online customers on the shopping behavior of in-store customers. When the retailer adds the delivery service, such externalities may increase the store traffic (higher infection risk inside the grocery store) and reduce the retailer's profit. When the retailer adds the curbside pickup instead, it has more control over the impact of externalities, which helps in lowering the store traffic and increasing the profit. Our results offer valuable insights into how retailers should regard occupancy limitations and health safety measures. Our results also highlight conditions under which various operating modes may help retailers reduce infection risk and achieve higher profit.
Supporting Information
Filename | Description |
---|---|
poms13717-sup-0001-Appendix.pdf316.5 KB | Supporting Information. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
REFERENCES
- Allon, G., & Federgruen, A. (2007). Competition in service industries. Operations Research, 55(1), 37–55.
- Anand, K. S., Paç, M. F., & Veeraraghavan, S. (2011). Quality–speed conundrum: Trade-offs in customer-intensive services. Management Science, 57(1), 40–56.
- Antonucci, D. (2020). What social distancing means for grocery retailing. SCANDIT. https://tinyurl.com/jcz7adtv
- Bawa, K., & Ghosh, A. (1999). A model of household grocery shopping behavior. Marketing Letters, 10(2), 149–160.
10.1023/A:1008093014534 Google Scholar
- Belavina, E., Girotra, K., & Kabra, A. (2017). Online grocery retail: Revenue models and environmental impact. Management Science, 63(6), 1781–1799.
- Bove, L. L., & Benoit, S. (2020). Restrict, clean and protect: Signaling consumer safety during the pandemic and beyond. Journal of Service Management, 31(6), 1185–1202.
- Browne, M. (2018). For customers, the waiting is the hardest part. Supermarket News. https://tinyurl.com/6wa5x9x4
- Brynjolfsson, E., Hu, Y., & Rahman, M. S. (2009). Battle of the retail channels: How product selection and geography drive cross-channel competition. Management Science, 55(11), 1755–1765.
- CDC (2020). Running essential errands. Centers for Disease Control and Prevention. https://tinyurl.com/3puzvazp
- Chen, R. R., Kumar, S., Singhal, J., & Singhal, K. (2021). Note: The value and cost of the customer's waiting time. Manufacturing & Service Operations Management, 23(6), 1539–1542.
- Chintagunta, P. K., Chu, J., & Cebollada, J. (2012). Quantifying transaction costs in online/off-line grocery channel choice. Marketing Science, 31(1), 96–114.
- Chuang, H. H.-C., Oliva, R., & Perdikaki, O. (2016). Traffic-based labor planning in retail stores. Production and Operations Management, 25(1), 96–113.
- CISION (2020a). American consumers' average weekly grocery spending increased by 17% during the pandemic, despite fewer trips. https://tinyurl.com/5strzhzs
- CISION (2020b). More than 60% of Americans still grocery shop in-person, despite growth in online shopping and grocery delivery due to COVID-19. CISION. https://tinyurl.com/skwb94vh
- Dumont, J. (2019). Study: Shoppers prefer grocery delivery over in-store pickup. Grocery Dive. https://tinyurl.com/2w99nynv
- Eley, J., & McMorrow, R. (2020). Why supermarkets are struggling to profit from the online grocery boom. Financial Times. https://tinyurl.com/a33xrutd
- Gallino, S., & Moreno, A. (2014). Integration of online and offline channels in retail: The impact of sharing reliable inventory availability information. Management Science, 60(6), 1434–1451.
- Gao, F., Agrawal, V. V., & Cui, S. (2022). The effect of multichannel and omnichannel retailing on physical stores. Management Science, 68(2), 809–826.
- Gao, F., & Su, X. (2017). Omnichannel retail operations with buy-online-and-pick-up-in-store. Management Science, 63(8), 2478–2492.
- Gao, F., & Su, X. (2018). Omnichannel service operations with online and offline self-order technologies. Management Science, 64(8), 3595–3608.
- Haddon, H., & Kang, J. (2019). Feel like you're the only one at whole foods buying your own groceries? Possibly. Wall Street Journal. https://tinyurl.com/33tj2fs4
- Hall, M. C., Prayag, G., Fieger, P., & Dyason, D. (2020). Beyond panic buying: consumption displacement and COVID-19. Journal of Service Management, 32(1), 113–128.
- Hensel, A. (2020). Shopify positions itself as the coronavirus – and beyond – platform. Modern Retail. https://tinyurl.com/2bsxrwav
- Hernant, M., & Rosengren, S. (2017). Now what? Evaluating the sales effects of introducing an online store. Journal of Retailing and Consumer Services, 39, 305–313.
- Hu, M., Xu, X., Xue, W. & Yang, Y. (2022). Demand pooling in omnichannel operations. Management Science, 68(2), 883–894.
- Jia, H., Garcıa, J. A. R. & Shen, S. (2022). Partner with a third-party delivery service or not? A prediction-and-decision tool for restaurants facing takeout demand surges during a pandemic. Service Science. Available at https://doi.org/10.1287/serv.2021.0294.
10.1287/serv.2021.0294 Google Scholar
- Kang, J. (2020). Instacart looked like a savior. Now stores aren't so sure. The Wall Street Journal. https://tinyurl.com/jacvyb9w
- Kang, K., Doroudi, S. & Delasay, M. (2022). Kang, Kang and Doroudi, Sherwin and Delasay, Mohammad, Prioritization in the Presence of Self-ordering Opportunities in Omni-channel Services. Available at SSRN: https://ssrn.com/abstract=3657637
- Kang, K., Doroudi, S., Delasay, M. & Wickeham, A. (2022). A queueing-theoretic framework for evaluating transmission risks in service facilities during a pandemic. Production and Operations Management. Available at https://doi.org/10.1111/poms.13675
10.1111/poms.13675 Google Scholar
- Kasprzak, E. (2020). Coronavirus: Supermarket shoppers ‘keep calm’ and queue. BBC News. https://tinyurl.com/fkf3xeby
- Kim, R. Y. (2020). The impact of COVID-19 on consumers: Preparing for digital sales. IEEE Engineering Management Review, 48(3), 212–218.
10.1109/EMR.2020.2990115 Google Scholar
- Kumar, S., Mookerjee, V., & Shubham, A. (2018). Research in operations management and information systems interface. Production and Operations Management, 27(11), 1893–1905.
- Lam, S., Vandenbosch, M., & Pearce, M. (1998). Retail sales force scheduling based on store traffic forecasting. Journal of Retailing, 74(1), 61–88.
- Lesavage, H., & Maak, H. (2021). Ask the experts: Six retail execs weigh in on omnichannel store staffing. Retail Brew. https://tinyurl.com/4ky29u27
- Mandavilli, A. (2021). Reaching ‘Herd Immunity’ is unlikely in the U.S., experts now believe. The New York Times. https://tinyurl.com/6y2wuw6u
- Masur, L. (2020). Everything you need to know about curbside grocery pick-up right now. The Kitchn. https://tinyurl.com/6r8uuu6h
- McGrath, K. (2019). What to know before you try grocery pickup. U.S. News. https://tinyurl.com/5hmeb7pc
- Meyer, S. (2020). Bring your customers low-contact convenience: Why and how to add curbside pickup to your ecommerce business. Big Commerce. https://tinyurl.com/f4vxf5z2
- Moran, C. D. (2021). Health measures continue to boost in-store grocery shopping, survey finds. Grocery Dive. https://tinyurl.com/4nyhemh8
- Nickle, A. (2018). Instacart lowers grocery delivery fee. Produce Retailer. https://tinyurl.com/y32z2cn8
- NYS Department of Health (2020). Updated interim guidance for retail grocery stores during the COVID-19 public health emergency. https://tinyurl.com/tztxc
- Pacheco, I. (2020). How much Covid-19 cost those businesses that stayed open. Wall Street Journal. https://tinyurl.com/rur5ehey
- Perdikaki, O., Kumar, S., & Sriskandarajah, C. (2017). Managing retail budget allocation between store labor and marketing activities. Production and Operations Management, 26(9), 1615–1631.
- Perlman, Y., & Yechiali, U. (2020). Reducing risk of infection–the COVID-19 queueing game. Safety Science, 132, 104987.
- Perlman, Y., & Yechiali, U. (2021). The impact of infection risk on customers' joining strategies. Safety Science, 138, 105194.
- PWC (2020). How are consumers adjusting to shopping during a pandemic? PWC. https://tinyurl.com/sfkay874
- Rani, U., & Dhir, R. K. (2020). Platform work and the COVID-19 pandemic. The Indian Journal of Labour Economics, 63(1), 163–171.
10.1007/s41027-020-00273-y Google Scholar
- Redman, R. (2020a). Nearly 80% of U.S. consumers shopped online for groceries since COVID-19 outbreak. Supermarket News. https://tinyurl.com/m3s3dfnf
- Redman, R. (2020b). Pickup, delivery growth spurs March online grocery sales. Supermarket News. https://tinyurl.com/ymvt944x
- Redman, R. (2020c). Study: Instacart lifts grocery store job creation, revenue. Supermarket News. https://tinyurl.com/3f29x3v4
- Redman, R. (2020d). UFCW to CDC: Mandatory COVID-19 guidance needed for grocery workers. Supermarket News. https://tinyurl.com/3c5z94c8
- Redman, R. (2020e). U.S. consumers preparing for second wave of stockpiling. Supermarket News. https://tinyurl.com/hax3hpwy
- Renner, B., Baker, B., Cook, J., & Mellinger, J. (2020). The future of fresh: Patterns from the pandemic. The Deloitte Consumer Industry Center. https://tinyurl.com/66wp8cdk
- Repko, M. (2020). As coronavirus pandemic pushes more grocery shoppers online, stores struggle to keep up with demand. CNBC. https://tinyurl.com/3hs635f6
- Roet-Green, R. & Yuan, Y. (2020). Information visibility in omnichannel queues. Available at SSRN: https://ssrn.com/abstract=3485810
- Shumsky, R. A., Debo, L., Lebeaux, R. M., Nguyen, Q. P., & Hoen, A. G. (2021). Retail store customer flow and COVID-19 transmission. Proceedings of the National Academy of Sciences, 118(11), e2019225118.
- Smith, D. (2020). How much to tip your delivery driver during coronavirus. CNET. https://tinyurl.com/3sfs3vh6
- Song, P., Wang, Q., Liu, H., & Li, Q. (2020). The value of buy-online-and-pickup-in-store in omni-channel: Evidence from customer usage data. Production and Operations Management, 29(4), 995–1010.
- Stadnytskyi, V., Bax, C. E., Bax, A., & Anfinrud, P. (2020). The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission. Proceedings of the National Academy of Sciences of the United States of America, 117(22), 11875–11877.
- Statista (2020a). Grocery store sales in the United States from 1992 to 2020. Statista. https://tinyurl.com/y8y2erht
- Statista (2020b). U.S. online grocery retail. Statista. https://tinyurl.com/59nmk8ra
- Sugar, R. (2020). Delivery apps are ruining grocery stores. GrubStreet. https://tinyurl.com/2yhjb2an
- Szymkowiak, A., Kulawik, P., Jeganathan, K. & Guzik, P. (2020). In-store epidemic behavior: Scale development and validation. Available at https://arxiv.org/abs/2005.02764
- Tupper, P., Boury, H., Yerlanov, M., & Colijn, C. (2020). Event-specific interventions to minimize COVID-19 transmission. Proceedings of the National Academy of Sciences, 117(50), 32038–32045.
- Unnikrishnan, A., & Figliozzi, M. A. (2020). A study of the impact of COVID-19 on home delivery purchases and expenditures. Working Paper, Portland State University.
- Wang, J., Mehrizi, H. A., Baron, O., & Berman, O. (2018). Staffing tandem queues with impatient customers—Application in financial service operations. Working Paper, 3116815, Rotman School of Management.
- Wang, J., & Zhou, Y.-P. (2018). Impact of queue configuration on service time: Evidence from a supermarket. Management Science, 64(7), 3055–3075.
- Wang, Y., Xu, R., Schwartz, M., Ghosh, D., & Chen, X. (2020). COVID-19 and retail grocery management: Insights from a broad-based consumer survey. IEEE Engineering Management Review, 48(3), 202–211.
- Yang, S. (2020). Is there a line at Trader Joe's? Social-media spies are keeping track. The Wall Street Journal. https://tinyurl.com/4b8np5dd
- Yuan, X., Dai, T., Chen, L. G., & Gavirneni, S. (2021). Co-opetition in service clusters with waiting-area entertainment. Manufacturing & Service Operations Management, 23(1), 106–122.