Intention to Reserve Food During COVID-19 Pandemic Among Bangladeshi Internet Users: Based on Theory of Planned Behaviour

MD Nafiul Alam Khan

doi:10.30935/ejmets/8299

EUROPEAN JOURNAL OF MEDICAL AND EDUCATIONAL TECHNOLOGIES

Intention to Reserve Food During COVID-19 Pandemic Among Bangladeshi Internet Users: Based on Theory of Planned Behaviour

MD Nafiul Alam Khan ¹ ^*

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European Journal of Medical and Educational Technologies, Volume 13, Issue 2, Article No: em2010

https://doi.org/10.30935/ejmets/8299

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Abstract

Introduction: The COVID-19 is probably the most terrible pandemic in the world, because there is no approved vaccine or treatment for this rapidly spreading disease. Most of the country is locked down for reducing spreading disease. Due to lockdown situations people are afraid and confused for getting basic food available at hand.
Objective: The purpose of this study is to investigate the expanded theory of planned behaviour model and adding risk perception variables for intention to reserve food during covid-19 pandemic situation among Bangladeshi internet users.
Material and Methods: A total of 192 consumers living in Bangladesh actively interested in a cross-sectional web-based survey. A standardized questionnaire was generated using Google Forms and a link was shared through authors’ platforms. This sample comprised 110 (57.3%) males and 82 (42.7%) females. Collected information was statistically analyzed using structural equation modelling assessment.
Results: The estimation process assesses the precision and validity of the variables. Cronbach’s alpha and composite reliability (Pc) was used to test the durability of the design. However, this study found Cronbach’s alpha and Pc between 0.842 to 0.730 and 0.864 to 0.744. Moreover, Convergent validity is effectively identified in the findings of the analysis. Therefore, the calculation concept of the analysis has been tested successfully.

Conclusion: In this analysis, we see that the stronger the risk perception of consumers, the greater the attitude of consumers to buy reserve products. This proof that high-risk awareness, in the case of a COVID-19 pandemic or others pandemic situation, can lead to the purchasing of goods that are lack of patience or common sense. The paper presented a new perspective on the negative consequences of risk perception among Bangladeshi internet users.

Keywords: COVID-19, reserve food, intention, pandemic, Bangladesh

References

Spagnuolo G, De Vito D, Rengo S, Tatullo M. COVID-19 Outbreak: An Overview on Dentistry. 2020: 2094. (doi: 10.3390/ijerph17062094). PMid:32235685 PMCid: PMC7143628
Chen N, Zhou M, Dong X, Qu J, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The Lancet. 2020 Feb 15; 395(10223): 507-13. (doi: 10.1016/S0140-6736(20)30211-7).
Meng L, Hua F, Bian Z. Coronavirus disease 2019 (COVID- 19): emerging and future challenges for dental and oral medicine. Journal of Dental Research. 2020 Mar 12: 0022034520914246. (doi: 10.1177/0022034520914246). PMid:32162995 PMCid:PMC7140973
Peng X, Xu X, Li Y, Cheng L, Zhou X, Ren B. Transmission routes of 2019-nCoV and controls in dental practice. International Journal of Oral Science. 2020 Mar 3; 12(1): 1-6. (doi: 10.1038/s41368-020-0075-9). PMid:32127517 PMCid:PMC7054527.
Mulenga EM, Marbán JM. Is COVID-19 the Gateway for Digital Learning in Mathematics Education?. Contemporary Educational Technology, 2020; 12(2): ep269. (doi: 10.30935/cedtech/7949).
Woods A. Iceland scientists found 40 mutations of the coronavirus, report says. NYPost. March 24, 2020.
Worldometers. (2020). COVID-19 Coronavirus Pandemic. Available at: https://www.worldometers.info/coronavirus
Hossain A, Rana J, Benzadid S, Ahsan GU. Covid-19 and Bangladesh. 2020 March. (doi: 10.13140/ RG.2.2.33293.08161).
Worldometers.info, Dover, Delaware, U.S.A [cited 13 April 2020]. Available at: http://www.worldometers.info/coronavirus/#countries
Huff AG, Beyeler WE, Kelley NS, McNitt JA. How resilient is the United States’ food system to pandemics? J. Environ. Stud. Sci. 2015; 5: 337-47.
Galanakis CM. The Food Systems in the Era of the Coronavirus (COVID-19) Pandemic Crisis. Foods 2020, 9, 523. (doi: 10.3390/foods9040523).
Galanakis CM. Recovery of high added-value components from food wastes: Conventional, emerging technologies and commercialized applications. Trends in Food Science & Technology, 2012; 26(2): 68-87. (doi: 10.1016/j.tifs.2012.03.003).
Deng Q, Zinoviadou KG, Galanakis CM, Orlien V, et al. The Effects of Conventional and Non-conventional Processing on Glucosinolates and Its Derived Forms, Isothiocyanates: Extraction, Degradation, and Applications. Food Engineering Reviews, 2015; 7(3): 357-81. (doi: 10.1007/s12393-014-9104-9).
Galanakis CM. Emerging technologies for the production of nutraceuticals from agricultural by-products: A viewpoint of opportunities and challenges. Food and Bioproducts Processing, 2013; 91(4): 575-9. (doi: 10.1016/j.fbp.2013.01.004).
Long NN, Khoi BH. An Empirical Study about the Intention to Hoard Food during COVID-19 Pandemic. EURASIA J Math Sci Tech Ed. 2020; 16(7): em1857. (doi: 10.29333/ejmste/8207).
Bloom E, De Wit V, Carangal-San Jose MJ. Potential economic impact of an avian flu pandemic on Asia. Asian Development Bank. 2005. Available at: https://www.adb.org/sites/default/files/publication/28082/pb042.pdf
Cooper M. Japanese tourism and the SARS epidemic of 2003. Journal of Travel & Tourism Marketing, 2006; 19(2-3): 117-31. (doi: 10.1300/J073v19n02_10).
Deng Y, Wang M, Yousefpour R. How do people’s perceptions and climatic disaster experiences influence their daily behaviors regarding adaptation to climate change? A case study among young generations. Science of the total environment, 2017; 581: 840-7. (doi: 10.1016/j.scitotenv.2017.01.022).
Wen Z, Huimin G, Kavanaugh RR. The impacts of SARS on the consumer behaviour of Chinese domestic tourists. Current Issues in Tourism, 2005; 8(1): 22-38. (doi: 10.1080/13683500508668203).
Usak M, Masalimova RA, Cherdymova IE, Shaidullina RA. New playmaker in science education: Covid-19. Journal of Baltic Science Education, 2020; 19(2): 180-5. (doi: 10.33225/jbse/20.19.180).
Basilaia G, Kvavadze D. Transition to Online Education in Schools during a SARS-CoV-2 Coronavirus (COVID-19) Pandemic in Georgia. Pedagogical Research, 2020; 5(4): em0060. (doi: 10.29333/pr/7937).
Toquero CM. Challenges and Opportunities for Higher Education amid the COVID-19 Pandemic: The Philippine Context. Pedagogical Research, 2020; 5(4): em0063. (doi: 10.29333/pr/7947).
Mulenga EM, Marbán JM. Is COVID-19 the Gateway for Digital Learning in Mathematics Education?. Contemporary Educational Technology, 2020; 12(2): ep269. (doi: 10.30935/cedtech/7949).
Long NN, Khoi BH. An Empirical Study about the Intention to Hoard Food during COVID-19 Pandemic. Eurasia Journal of Mathematics, Science and Technology Education, 2020; 16(7): em1857. (doi: 10.29333/ejmste/8207).
Papapicco C. Informative Contagion: The Coronavirus (COVID-19) in Italian journalism. Online Journal of Communication and Media Technologies, 2020; 10(3): e202014. (doi: 10.29333/ojcmt/7938).
Gondauri D, Batiashvili M. The Study of the Effects of Mobility Trends on the Statistical Models of the COVID-19 Virus Spreading. Electron J Gen Med. 2020; 17(6): em243. (doi: 10.29333/ejgm/8212).
Ajzen I. The Theory of Planned Behaviour. Organised Behaviour and Human Decision Processes, 1991; 50: 170-211.
Ajzen I, Driver BL. Application of the theory of planned Behaviour to leisure choice. Journal of Leisure Research, 1992; 24: 207-585.
Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall; 1980.
Johnson EJ, Tversky A. Affect, generalization, and the perception of risk. Journal of personality and Social Psychology, 1983; 45(1): 20. (doi: 10.1037/0022-3514.45.1.20).
Lo AY. The role of social norms in climate adaptation: Mediating risk perception and flood insurance purchase. Global Environmental Change, 2013; 23(5): 1249-57. (doi: 10.1016/j.gloenvcha.2013.07.019).
Lobb A, Mazzocchi M, Traill W. Modelling risk perception and trust in food safety information within the theory of planned behaviour. Food quality and preference, 2007; 18(2): 384-95. (doi: 10.1016/j.foodqual.2006.04.004).
Kozup J. Risks of Consumer Products Consumer Perception of Product Risks and Benefits. Springer, 2017. p. 23-38. https://doi.org/10.1007/978-3-319-50530-5_2
Jacoby J, Kaplan LB. The components of perceived risk. ACR Special Volumes. 1972.
Oltedal S, Moen B-E, Klempe H, Rundmo T. Explaining risk perception: An evaluation of cultural theory. Trondheim: Norwegian University of Science and Technology, 2004; 85(1-33): 86.
Knight FH. Risk, uncertainty and profit: Courier Corporation, 2012
Dowling GR, Staelin R. A model of perceived risk and intended risk-handling activity. Journal of consumer research, 1994; 21(1): 119-34. (doi: 10.1086/209386).
Lobb A, Mazzocchi M, Traill W. Modelling risk perception and trust in food safety information within the theory of planned behaviour. Food quality and preference, 2007; 18(2): 384-95. (doi: 10.1016/j.foodqual.2006.04.004).
Hamdah DFL, Rahmadya RR, Nurlaela L. The Effect of Attitude, Subjective Norm, and Perceived Behavior Control of Taxpayer Compliance of Private Person in Tax Office Garut, Indonesia. Review of Integrative Business and Economics Research, 2020; 9: 298-306.
Huynh G, Nguyen TNH. Knowledge and attitude toward COVID-19 among healthcare workers at District 2 Hospital, Ho Chi Minh City. Asian Pacific Journal of Tropical Medicine, 2020. (doi: 10.4103/1995-7645.280396).
Van Bavel JJ, Boggio P, Capraro V, Cichocka A, Cikara M, Crockett M, et al. Using social and behavioural science to support COVID-19 pandemic response. 2020. (doi: 10.31234/osf.io/y38m9).
Sowden S, Koletsi S, Lymberopoulos E, Militaru E, Catmur C, Bird G. Quantifying compliance and acceptance through public and private social conformity. Consciousness and cognition, 2018; 65: 359-67. (doi: 10.1016/ j.concog.2018.08.009).
Dickie R, Rasmussen S, Cain R, Williams L, MacKay W. The effects of perceived social norms on handwashing behaviour in students. Psychology, health & med, 2018; 23(2): 154-9. (doi: 10.1080/13548506.2017.1338736).
Deng Y, Wang M, Yousefpour R. How do people’s perceptions and climatic disaster experiences influence their daily behaviors regarding adaptation to climate change? A case study among young generations. Science of the total environment, 2017; 581: 840-7. (doi: 10.1016/j.scitotenv.2017.01.022).
Danks NP, Sharma PN, Sarstedt M. Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM). Journal of Business Research, 2020; 113: 13-24. (doi: 10.1016/j.jbusres.2020.03.019).
Hair Jr JF, Hult GTM, Ringle C, Sarstedt M. A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications. 2016. (doi: 10.15358/9783800653614).
Klesel M, Schuberth F, Henseler J, Niehaves B. A test for multigroup comparison using partial least squares path modeling. Internet research, 2019; 29(3): 464-77. (doi: 10.1108/ IntR-11-2017-0418).
Carr J. ‘The madness continues’: Social media users slam ‘wasteful’ panic-buyers who are still throwing away perfectly good food after stockpiling more than they can consume. MAILONLINE. 2020. Available at: https://www.dailymail.co.uk/news/article-8168489/Social-media-users-slam-wasteful-panic-buyers-throwing-away-perfectly-good-food.html
Lobb A, Mazzocchi M, Traill W. Modelling risk perception and trust in food safety information within the theory of planned behaviour. Food quality and preference, 2007; 18(2): 384-95. (doi: 10.1016/j.foodqual.2006.04.004).
Quintal VA, Lee JA, Soutar GN. Risk, uncertainty and the theory of planned behavior: A tourism example. Tourism Management, 2010; 31(6): 797-805. (doi: 10.1016/j.tourman.2009.08.006).

Citation

Khan, M. N. A. (2020). Intention to Reserve Food During COVID-19 Pandemic Among Bangladeshi Internet Users: Based on Theory of Planned Behaviour. European Journal of Medical and Educational Technologies, 13(2), em2010. https://doi.org/10.30935/ejmets/8299

Khan, M. N. A. (2020). Intention to Reserve Food During COVID-19 Pandemic Among Bangladeshi Internet Users: Based on Theory of Planned Behaviour. European Journal of Medical and Educational Technologies, 13(2), em2010. https://doi.org/10.30935/ejmets/8299

Khan MNA. Intention to Reserve Food During COVID-19 Pandemic Among Bangladeshi Internet Users: Based on Theory of Planned Behaviour. European Journal of Medical and Educational Technologies. 2020;13(2), em2010. https://doi.org/10.30935/ejmets/8299

Khan, MD Nafiul Alam. "Intention to Reserve Food During COVID-19 Pandemic Among Bangladeshi Internet Users: Based on Theory of Planned Behaviour". European Journal of Medical and Educational Technologies 2020 13 no. 2 (2020): em2010. https://doi.org/10.30935/ejmets/8299

Khan, MD Nafiul Alam "Intention to Reserve Food During COVID-19 Pandemic Among Bangladeshi Internet Users: Based on Theory of Planned Behaviour". European Journal of Medical and Educational Technologies, vol. 13, no. 2, 2020, em2010. https://doi.org/10.30935/ejmets/8299

Khan MNA. Intention to Reserve Food During COVID-19 Pandemic Among Bangladeshi Internet Users: Based on Theory of Planned Behaviour. European Journal of Medical and Educational Technologies. 2020;13(2):em2010. https://doi.org/10.30935/ejmets/8299