Surviving the hectic early phase of the COVID-19 pandemic: a qualitative study to the supply chain strategies of food service firms in times of a crisis

Big data-driven spatio-temporal heterogeneity analysis of Beijing's catering service industry during the COVID-19 pandemic

The Catering Service Industry (CSI) experienced profound impacts due to the COVID-19 pandemic. However, the long-term and multi-timepoint analysis using big data remained limited, influencing governmental decision-making. We applied Kernel Density Estimation, Shannon Diversity Index, and the Geographic detector to explore the spatial heterogeneity and determinants of the CSI in Beijing during the pandemic, with monthly granularity. The temporal-spatial dynamics of the CSI presented a "W"-shaped trend from 2018 to 2023, with pivotal shifts aligning with key pandemic stages. Spatial characteristics exhibited heterogeneity, with greater stability in the city center and more pronounced shifts in peripheral urban zones. Districts facing intricate outbreaks showed lower catering income, and Chinese eateries exhibited heightened resilience compared to others. The CSI displayed strong interconnections with living service sectors. Development in each district was influenced by economic level, population distribution, service facilities convenience, and the risk of the COVID-19 pandemic. Dominant factors included total retail sales of consumer goods, permanent population, average Baidu Heat Index, density of transportation and catering service facilities, infection cases and the consecutive days with confirmed cases existing. Consequently, we suggested seizing post-pandemic recovery as an avenue to unlock the CSI's substantial potential, ushering a fresh phase of growth.

Product availability and stockpiling in times of pandemic: causes of supply chain disruptions and preventive measures in retailing

The coronavirus pandemic in 2020 brought global supply chain disruptions for retailers responding to the increased demand of consumers for popular merchandise. There is a need to adapt the existing supply chain models to describe the disruptions and offer the potential measures that businesses and governments can take to minimize adverse effects from a retail logistics perspective. This research analyses the possible reasons for supply and demand disruptions using a mathematical model of a retail supply chain with uncertain lead times and stochastic demand of strategic consumers. The established concepts of supply chain management are applied for the model analysis: multi-period inventory policies, bullwhip effect, and strategic consumers. The impact of the pandemic outbreaks in the model is two-fold: increased lead-time uncertainty affects supply, while consumer stockpiling affects demand. Consumers' rational hoarding and irrational panic buying significantly increase retailers' costs due to higher safety stock and demand variability. The bullwhip effect further exacerbates the disruption. The research contributes to the recent literature on business response to supply chain disruptions by developing a model where both retailers and consumers decide on the order quantity and reorder point during a pandemic outbreak. Buying limits, continuous inventory review, government rationing, substitutability, and omnichannel fulfillment are the measures that can limit the damage of supply chain disruptions from stockpiling during the pandemic. Effective communication and price and availability guarantees can mitigate the negative impact of panic buying.

Food supply chain waste reduction for a circular economy in the COVID-19 pandemic: a longitudinal study of New Zealand consumers

Purpose

Food waste (FW) reduction, of which household wastage comprises a large fraction, has an important role in promoting the circular economy (CE). This study investigates how certain consumer traits impact household FW, particularly in the face of external shocks.

Design/methodology/approach

The authors conducted a qualitative and longitudinal study, spanning three periods in New Zealand. A preliminary model is constructed from the outcomes of a survey with 178 participants. Then, the authors carried out 29 semi-structured interviews to refine the preliminary model and adapt it to the analysis of household waste behavior.

Findings

Different segments of consumers have distinct response patterns in successive lockdowns, and these patterns impact household FW reduction and food supply chain (FSC) management. The key findings include (1) for government, quick responses to quash unhelpful rumors help to reduce public concerns around FSC interruption; (2) for retailers, the pandemic has hastened the growth of online shopping; being able to expand the distribution channel in a short time is a critical issue; and (3) for consumers, the experience of lockdown has different impacts on different groups of consumers. This variation of experience may either enhance or exacerbate FW in households.

Originality/value

This paper complements the existing literature on the FSC and contributes to household FW and CE literature by providing a framework that integrates external impacts, consumer segmentation to reflect on waste management, and the possible applications of the proposed framework.