Evidence map›Paper›PMID 35317191›Full record

ArticleTechnological forecasting and social change2022

From restaurant to cloud kitchen: Survival of the fittest during COVID-19 An empirical examination.

Kushagra Kulshreshtha, Gunjan Sharma

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
9.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Kushagra KulshreshthaInstitute of Business Management, GLA University, Mathura, 281406, India.
Gunjan SharmaInstitute of Business Management, GLA University, Mathura, 281406, India.
GLA University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

PMID35317191
PMCPMC8930395
OpenAlexW4221000757

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.