ArticleTechnological forecasting and social change2022
From restaurant to cloud kitchen: Survival of the fittest during COVID-19 An empirical examination.
Article in Technological forecasting and social change, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 66 citations in OpenAlex.
- Identification of factors associated with foreign substance contamination in restaurant food.Scientific reports · 2025Article
- 'Going dark' or under the radar? Challenges and opportunities for local authorities and dark kitchens in ensuring food safety.Food control · 2025Article
- Recent trends in carbon nanotube (CNT)-based biosensors for the fast and sensitive detection of human viruses: a critical review.Nanoscale advances · 2023Review
- Restaurants' compliance with calorie labeling policies in food delivery applications.Frontiers in nutrition · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The restaurant industry is experiencing a financial crisis at the moment of COVID-19. The purpose of this paper is to explore and examine the impact of various factors responsible for purchase decisions for generation Z in the context of cloud kitchen. In this endeviour, the researchers used a self-reported survey questionnaire to collect the data. The quality responses were collected using convenience sampling and analysed using SmartPLS. As almost all businesses are hit badly due to the COVID-19 pandemic this paper explored the possibilities for the restaurant business i.e. food and beverage industry in the form of 'cloud kitchen'. In this endeavour, the impact of green aspects, memorable food experience (experiential food under experience economy) along with certain other factors was examined. This study extends the food choice process model by Furst et al. (1996) that in the recent time green aspect, memorable experience are being preferred by consumers. Moreover, the restaurant may choose to work as 'cloud kitchen until the situation (COVID-19) normalizes. The research work will contribute to new theoretical knowledge in the form of an extended food choice process model exploring generation Z purchase decision towards cloud kitchen.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.