scholarly journals Factors Influencing Implementation, Sustainability and Scalability of Healthy Food Retail Interventions: A Systematic Review of Reviews

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 294
Author(s):  
Adyya Gupta ◽  
Laura Alston ◽  
Cindy Needham ◽  
Ella Robinson ◽  
Josephine Marshall ◽  
...  

The aim of this systematic review of reviews was to synthesise the evidence on factors influencing the implementation, sustainability and scalability of food retail interventions to improve the healthiness of food purchased by consumers. A search strategy to identify reviews published up until June 2020 was applied to four databases. The Risk of Bias in Systematic Review tool was used. Review findings were synthesised narratively using the socio-ecological model. A total of 25 reviews met the inclusion criteria. A number of factors influenced implementation; these included retailers’ and consumers’ knowledge and preferences regarding healthy food; establishing trust and relationships; perceived consumer demand for healthy food; profitability; store infrastructure; organizational support, including resources; and enabling policies that promote health. Few reviews reported on factors influencing sustainability or scalability of the interventions. While there is a large and rapidly growing body of evidence on factors influencing implementation of interventions, more work is needed to identify factors associated with their sustainability and scalability. These findings can be used to develop implementation strategies that consider the multiple levels of influence (individual, intrapersonal and environmental) to better support implementation of healthy food retail interventions.

Author(s):  
Karunesh Makker ◽  
Prince Patel ◽  
Hrishikesh Roy ◽  
Sonali Borse

Stock market is a very volatile in-deterministic system with vast number of factors influencing the direction of trend on varying scales and multiple layers. Efficient Market Hypothesis (EMH) states that the market is unbeatable. This makes predicting the uptrend or downtrend a very challenging task. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle various scenarios in which investment can be beneficial. Existing techniques like sentiment analysis or neural network techniques can be too narrow in their approach and can lead to erroneous outcomes for varying scenarios. By combing both techniques, this prediction model can provide more accurate and flexible recommendations. Embedding Technical indicators will guide the investor to minimize the risk and reap better returns.


2021 ◽  
Author(s):  
Courtney P. Thorpe ◽  
Tara Boelsen‐Robinson ◽  
Adrian J. Cameron ◽  
Miranda R. Blake

2021 ◽  
Vol 1950 (1) ◽  
pp. 012040
Author(s):  
R.V Shynu ◽  
K.G Santhosh Kumar ◽  
R.D Sambath

CJEM ◽  
2021 ◽  
Author(s):  
David Simard ◽  
Vanessa Bouchard ◽  
Annie Plourde ◽  
Sébastien Lefebvre ◽  
Antoine Herman-Lemelin ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document