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The impact of social welfare and COVID-19 stringency on the perceived utility of food apps: A hybrid MCDM approach

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  • Hassad de Andrade, Liz
  • Moreira Antunes, Jorge Junio
  • Araújo de Medeiros, Antônio Mamede
  • Wanke, Peter
  • Nunes, Bernardo Pereira

Abstract

The COVID-19 pandemic has created enormous challenges for society due to the various ways of impacting health. This paper focuses on the impact of the COVID-19 pandemic on people's food consumption patterns in the online environment. We investigate food app reviews and examine whether countries with a high rate of success with COVID-19 control consume more unhealthy food through mobile apps. We also investigate whether the population of countries with low social welfare eat more unhealthy food during the COVID-19 pandemic compared to countries with high social welfare. We take a hybrid multi-criteria decision making (MCDM) approach to calculate indexes based on the technique for order of preference by similarity to an ideal solution, complex proportional assessment, and VlseKriterijuska Optimizacija I Komoromisno Resenje. Results show that country social welfare and success in COVID-19 control negatively affect the perceived utility of the apps. Also, success in COVID-19 control and the perceived utility of food apps positively affect the proportion of unhealthy reviews, whereas social welfare has a negative impact. The results have important implications for public health policymakers, showing that the online food environment can be an important setting for interventions that seek to incentivize healthy eating.

Suggested Citation

  • Hassad de Andrade, Liz & Moreira Antunes, Jorge Junio & Araújo de Medeiros, Antônio Mamede & Wanke, Peter & Nunes, Bernardo Pereira, 2022. "The impact of social welfare and COVID-19 stringency on the perceived utility of food apps: A hybrid MCDM approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    • Handle: RePEc:eee:soceps:v:82:y:2022:i:pb:s0038012122000842
    DOI: 10.1016/j.seps.2022.101299
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    as
    1. Charlene M. Kalenkoski & Karen S. Hamrick, 2013. "How Does Time Poverty Affect Behavior? A Look at Eating and Physical Activity," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(1), pages 89-105.
    2. Thomas Hale & Noam Angrist & Rafael Goldszmidt & Beatriz Kira & Anna Petherick & Toby Phillips & Samuel Webster & Emily Cameron-Blake & Laura Hallas & Saptarshi Majumdar & Helen Tatlow, 2021. "A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)," Nature Human Behaviour, Nature, vol. 5(4), pages 529-538, April.
    3. Dimpfl Thomas & Peter Franziska Julia, 2013. "Using transfer entropy to measure information flows between financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(1), pages 85-102, February.
    4. Camila Salazar-Fernández & Daniela Palet & Paola A. Haeger & Francisca Román Mella, 2021. "COVID-19 Perceived Impact and Psychological Variables as Predictors of Unhealthy Food and Alcohol Consumption Trajectories: The Role of Gender and Living with Children as Moderators," IJERPH, MDPI, vol. 18(9), pages 1-13, April.
    5. Dutta, Anwesha & Fischer, Harry W., 2021. "The local governance of COVID-19: Disease prevention and social security in rural India," World Development, Elsevier, vol. 138(C).
    6. A. S. Albahri & Jameel R. Al-Obaidi & A. A. Zaidan & O. S. Albahri & Rula A. Hamid & B. B. Zaidan & A. H. Alamoodi & M. Hashim, 2020. "Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1247-1269, August.
    7. Abram Bergson, 1954. "On the Concept of Social Welfare," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 68(2), pages 233-252.
    8. Lei Zheng & Miao Miao & JiYoon Lim & Maorui Li & Shu Nie & Xiaojun Zhang, 2020. "Is Lockdown Bad for Social Anxiety in COVID-19 Regions?: A National Study in The SOR Perspective," IJERPH, MDPI, vol. 17(12), pages 1-12, June.
    9. Gregory Knell & Michael C. Robertson & Erin E. Dooley & Katie Burford & Karla S. Mendez, 2020. "Health Behavior Changes During COVID-19 Pandemic and Subsequent “Stay-at-Home” Orders," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
    10. Hung‐Hao Chang & Chad D. Meyerhoefer, 2021. "COVID‐19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 448-465, March.
    11. Anna Månsdotter & Björn Ekman & Kaspar Walter Meili & Inna Feldman & Lars Hagberg & Anna-Karin Hurtig & Lars Lindholm, 2020. "Towards capability-adjusted life years in public health and social welfare: Results from a Swedish survey on ranking capabilities," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-15, December.
    12. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    13. Basakha, Mehdi & Hossein Mohaqeqi Kamal, Seyed, 2019. "Industrial development and social welfare: A case study of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    14. Petr Jizba & Hagen Kleinert & Mohammad Shefaat, 2011. "Renyi's information transfer between financial time series," Papers 1106.5913, arXiv.org, revised Jan 2012.
    15. Gabriel Hoh Teck Ling & Nur Amiera binti Md Suhud & Pau Chung Leng & Lee Bak Yeo & Chin Tiong Cheng & Mohd Hamdan Haji Ahmad & Ak Mohd Rafiq Ak Matusin, 2021. "Factors Influencing Asia-Pacific Countries’ Success Level in Curbing COVID-19: A Review Using a Social–Ecological System (SES) Framework," IJERPH, MDPI, vol. 18(4), pages 1-27, February.
    16. Ling, Gabriel Hoh Teck & Suhud, Nur Amiera binti Md & Leng, Pau Chung & Yeo, Lee Bak & Cheng, Chin Tiong & Ahmad, Mohd Hamdan Haji & Matusin, AK Mohd Rafiq AK, 2021. "Factors Influencing Asia-Pacific Countries’ Success Level in Curbing COVID-19: A Review Using a Social–Ecological System (SES) Framework," SocArXiv b9f2w, Center for Open Science.
    17. Sun-Weng Huang & James J. H. Liou & Hai-Hua Chuang & Gwo-Hshiung Tzeng, 2021. "Using a Modified VIKOR Technique for Evaluating and Improving the National Healthcare System Quality," Mathematics, MDPI, vol. 9(12), pages 1-21, June.
    18. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    19. Jizba, Petr & Kleinert, Hagen & Shefaat, Mohammad, 2012. "Rényi’s information transfer between financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(10), pages 2971-2989.
    20. Geoff Walsham, 2017. "ICT4D research: reflections on history and future agenda," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 18-41, January.
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