| Literature DB >> 35721382 |
Christina Strotmann1, Vanessa Baur1, Nora Börnert1, Paula Gerwin1.
Abstract
The COVID-19 pandemic has affected the food service processes and operations in many ways, such as the use of contactless payment methods or ordering systems has increased. Despite the pandemic-related obstacles the sector faces, SDG12.3, halving food waste at the retail and consumer levels by 2030, needs to be achieved. This study therefore examines the two questions: How far has the pandemic affected the generation of food waste and the implementation of prevention measures? How does the use of digital technology, which has been increasingly accessed since the beginning of the pandemic, offer opportunities to further reduce food waste in the sector? Two online surveys were conducted. In the first survey, 84% of the 170 respondents indicated not to implement further food waste reduction measures since the start of the pandemic, while 11% do. They engaged in more targeted purchasing activities based on more conscious planning of the production volume, the reduction of menus offered, and the standardisation of menu components. In total, 91 food service companies provided data on the food wasted (in %) before and since the pandemic. Of the 179 entries made for the different waste categories, 47% indicated waste had not changed, while 42% and 11% indicated an increase/decrease, respectively. In the context of the ongoing digitalisation of the sector, possible fields of action for digital applications were identified, which are helpful in combating food waste in general and specifically during the pandemic. In this study, a classification scheme for digital food waste reduction approaches was developed. These approaches are systemised into four categories: forecasting, waste analysis, redistribution, and measures catalogue. Further, the process steps in which the applications are applied are indicated and direct and indirect effects on the generation of food waste are provided.Entities:
Keywords: COVID-19; Digital technologies; Digital transformation; Food service sector; Food waste; Sustainability
Year: 2021 PMID: 35721382 PMCID: PMC9192146 DOI: 10.1016/j.seps.2021.101104
Source DB: PubMed Journal: Socioecon Plann Sci ISSN: 0038-0121 Impact factor: 4.641
Fig. 1Steps and methodological approach of the study (Source: Authors' own illustration).
Change of food waste due to pandemic (+increase, - decrease, = same, N/A no answer given) (Source: Authors’ own elaboration).
| Online survey 1 (N = 53) | Online survey 2 (N = 38) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Waste category/Change | + | – | = | Entries | N/A | + | – | = | Entries | N/A |
| Plate waste | 3 | 16 | 28 | 99 | 2 | 11 | 4 | 16 | ||
| Safety margin + Serving w. | 4 | 9 | 3 | 17 | ||||||
| Serving waste | 4 | 18 | 24 | 100 | ||||||
| Preparation waste | 6 | 22 | 24 | 94 | ||||||
| 293 | 33 | |||||||||
Reasons for increasing/decreasing share of food waste (Source: Authors’ own elaboration).
| Aspects of food service process | More waste | Less waste |
|---|---|---|
•Menus are reduced (smaller variety and less components, e.g. no salad on offer) (5) | ||
Overproduction to avoid running out of offer (1) Production of all meals despite small number of customers (1) | Production volume is planned more conscious and food is cooked on demand (5) reduced number of customers (3) Better planning through pre-order requirement (2) | |
Pre-composed menus on plates (1) | Self-service with gloves at buffet, instead of pre-portioned plates (1) Smaller amounts served on buffets (1) Menus served on plate (1) Preportioning of breakfast (1) Sell via APP (Too Good To Go) (1) |
Changes to the implementation of measures against food waste caused by the pandemic (number of answers) (Source: Authors’ own elaboration)).
| Measures | no longer implemented | Implemented additionally |
|---|---|---|
more targeted purchasing/smaller amounts (7) | ||
more testing of menu components before they are offered to all customers and strictly refer to optimised recipe reduced portion sizes and offer refill (1) reduced offer and standardised menu composition (3) more pre-packaged food, food with longer shelf-life and smaller packaging size (2) | ||
Exact production planning (difficult due to unpredictable number of guests) (1) | better production planning due to required pre-ordering (1) more detailed analysis to plan production volume (1) sticking closer to planned production (1) more targeted cooking (cook on demand if pre-produced quantities are not enough due to longer eating times) (1) | |
individual table service instead of self-service (2) | ||
reuse of surplus food restricted due to hygiene regulations (3) |
Fig. 2Digital fields of action in an exemplary food service setting (Source: Authors' own illustration).
Categorisation of digital food waste reduction technologies and their effects (direct & indirect) on business activities (Source: Authors' own elaboration based on [[57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72]]).
| Category | Example of digital tool | Benefit of application for the share of food waste | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Menu planning | Production Planning | Food procurement | Storage and provision of raw material | Processing and preparation | Distribution and serving | Consumption | Disposal | |||
| FORECASTING | Delicious Data, Mitakus, Prognolite | Optimisation of planning accuracy | Management: Selection of food components/dishes favoured by customers | Management: optimised planning of food quantities | Management: correct type and amount of food supplies | Kitchen Staff: Adapted quantities of food/meal | Kitchen Staff: Offering adjusted portion sizes | Kitchen Staff: Offering adjusted portion sizes | ||
| WASTE ANALYSIS | Kitro, Kitchenmonitor, Leanpath, Matomatic, Waste Tracker, App Waste, Analysis Tool, Winnow Waste, Monitor, Winnow Waste AI | Detection of food surplus origin | Management: Selection of food components/dishes favoured by customers | Management: optimised planning of food quantities and portion sizes | Management: Order of the correct type and amount of food supplies | Kitchen Staff: Adapted quantities of food/meal | Kitchen Staff: Offering adjusted portion sizes | Customer: higher awareness for food waste | Kitchen staff: Higher sensibility towards food waste (amount and components) | |
| REDISTRIBUTION | Foodsharing. Regusto App. Regusto. Platform ResQ. ToGoodToGo | Enlargement of distribution channels; Consolidation of B2B and B2C relations | Hospitality Business/NPO/Customer: further utilisation and consumption of surplus | Customer: higher awareness for food waste | Kitchen staff: Higher sensibility towards food waste (amount and components) | |||||
| MEASURE CATALOGUE | Food Save App. LAV Platform | Educational approach; collection of materials/tools targetig food waste | Management: Selection of food components/dishes favoured by customers | Management: optimised planning of food quantities and portion sizes | Management: Order of the correct type and amount of food supplies | Kitchen Staff: Optimisation of food management | Kitchen Staff: Adapted quantities of food/meal | Kitchen Staff: Offering adjusted portion sizes | Management/Kitchen Staff: provision of educational material for customers Customers: higher sensibility towards food waste; higher appreciation of food | Kitchen staff: Higher sensibility towards food waste (amount and components) |