The Effect of Trust Benefit and Risk Perception of GM Foods on Behavior Intention: A Study on University Students

Year 2021, Issue: 64, 297 - 312, 29.12.2021

Erkan Arı Veysel Yılmaz Murat Olgun

https://doi.org/10.26650/JECS2021-930755

Abstract

The aim of this study is to examine the attitudes and behaviors of university students towards “foods containing Genetically Modified Organisms” (GMO). For this purpose, firstly, a research model was proposed to describe the relationships between attitudes and behaviors towards GMO by making use of the literature review, and then various hypotheses were formed to test the relationships between the factors in the model. The factors in the proposed research model are “Attitude (ATT),”“Attitude towards Knowledge and Technology (KNOW),” “Trust (TRUST),” “Perceived Benefit (BEN),” “Perceived Risk (RISK)” and “Behavior (BEH)”. In the study, the proposed research model was analyzed using Structural Equation Modeling (SEM), and the suitability of the proposed model was evaluated according to various fit criteria. As a result of the analysis, it was determined that a one-unit increase in the perceived benefit and perceived risk for GMO will cause an increase of 0.89 units and a decrease of 0.19 units, respectively, in the attitude towards GMO. In addition, it was determined that as trust in scientific research results, media, labeling system and inspection systems increase, the perception that GMO can be beneficial will also increase.

Keywords

GMO (Genetically Modified Organisms), Attitude, Trust, Perceived Benefit, Perceived Risk, Structural Equation Modelling

References

• Adana, F., Gezer, N., & Öğüt, S. (2014). Knowledge and opinions of the health school students about genetically modified organisms (GMOS). Acibadem University Health Sciences Journal, 5(4), 276-280. google scholar
• Amin, L., Mahadi, Z., Samian, A. L., & Ibrahim, R. (2013). Risk perception towards food safety issues: GMO versus non-GMO. Journal of Food, Agriculture andEnvironment, 11 (1), 28-35. google scholar
• Baykan, B.G., & Ertunç, B. (2012). Turkey’s GMO awareness in three regions. Retrieved from: https://betam. bahcesehir.edu.tr/2012/06/turkiyenin-uc-bolgesinde-gdo-farkindaligi/. google scholar
• Bayraç, A.T. (2014). Genetically modified organisms: Istanbul. ODTU Publishing (3rd Edition), Ankara. google scholar
• Bawa, A.S., & Anilakumar, K.R. (2013). Genetically modified foods: safety, risks and public concerns—a review. Journal of Food Science and Technology, 50(6), 1035-1046. doi: 10.1007/s13197-012-0899-1. google scholar
• Bredahl, I. (1998). Consumer attitudes and decision making with regard to genetically engineered food products. A review of the literature and presentation of models for future research. Journal of Consumer Policy, 21(3), 251277. google scholar
• Chen, M. F., & Li, H. I. (2007). The consumers attitude toward genetically modified foods in Taiwan. Food Quality and Preference, 18(4), 662-374. google scholar
• Ciavolino, E., Carpita, M., & Al-Nasser, A. (2014): Modelling the quality of work in the Italian social co-operatives combining NPCA-RSM and SEM-GME approaches. Journal ofApplied Statistics, DOI:10.1080/02664763.201 4.938226 google scholar
• Costa-Font, M., Gill,J.M., & Traill, W.B. (2008). Consumer acceptance, valuation of and attitudes towards genetically modified food: Reviews and implications for food policy. Food Policy, 33(2), 99-111. google scholar
• Costa-Font, M., & Gil, J. M. (2009). Structural equation modelling of consumer acceptance of genetically modified (GM) food in the Mediterranean Europe: A cross country study. Food Quality and Preference, 20(6) 399-09. google scholar
• Erbaş, H. (2008). Biotechnology and community sector in Turkey. Professionals consumers and villagers. Ankara University Biotechnology Institute, Publication No: 4, pp. 108, Ankara. google scholar
• Fornell, C., & Larcker, D.F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18 (3), 382-388. DOI: 10.2307/3150980. google scholar
• Frewer, L. J., Howard, C., & Shepherd, R. (1996). The influence of realistic product exposure on attitudes towards genetically engineering of food. Food Quality andPreference, 7(1), 61-67. google scholar
• Gaskell, G. M. W., Bauer, Durant, J., & Allum, N. C. (1999). Worlds apart? the reception of genetically modified foods in Europe and the U.S. Science, 285(5472), 384-387. google scholar
• Gaskell, G., Allum, N., Wagner, W., & et al. (2004). GMO and the misperception of risk perception. Risk Analysis, 24(1), 185-194. google scholar
• Greenpeace Mediterranean, (2012). People don’t eat GMO. Retrieved from: https://www.greenpeace.org/archive-turkey/tr/news/gdoyu-yemezler-kampanyasi-yeniden-basladi-050614/. google scholar
• Hall, C., & Moran, D. (2006). Investigating GM risk perceptions: A survey of anti-GM and environmental campaign group members. Journal ofRural Studies, 22(1), 29-37. google scholar
• Hakim, M.P., Zanetta, L.D., De Oliveira, J.M., & Da Cunha, D.T. (2020). The mandatory labeling of genetically modified foods in Brazil: Consumer’s knowledge, trust, and risk perception. Food Res. Int., 132, 109053. google scholar
• Hu. W.Y., Adamowicz, W.Z., & Weeman, M.M. (2009). Consumers preference for GM food and voluntary information Access: A simultaneous choice analysis. Canadian Journal ofAgricultural Economics, 57(2), 241267. google scholar
• James, C. (2012). Global status of commercialized biotech/GM crops: 2012. ISAAA Brif 44. Ithaca, NY: ISAAA. google scholar
• Kaya, E., Gürbüz,H., & Derman, H. (2012). Perceptions of university students towards genetically modified food products, Iğdır Univ. J. Inst. Sci. & Tech, 2(3), 55-60. google scholar
• Kaynar, P. (2009). A general perspective on genetically modified organisms (GMOs) Turkish Bulletin of Hygiene and Experimental Biology, 66 (4), 177-184. google scholar
• Klerck, D., & Sweeney, J.C. (2007). The effect of knowledge types on consumer-perceived risk and adoption of genetically modified foods. Psychology & Marketing, 24(2), 171-193. https://doi.org/10.1002/mar.20157. google scholar
• Knight, A. (2007). Biotechnology, industrial agriculture and the risk society. Society and Natural Resource, 20(1), 21-36. google scholar
• Knight, A. (2009). Perception, knowledge and ethical concerns with GMO and the GM process. Public Understanding of Science, 18(2), 177-188. google scholar
• Li, Y., Peng, Y., Hallerman, E.M., & Wu, K. (2014). Biosafety management and commercial use of genetically modified crops in China. Plant cell reports, 33(4), 565-573. google scholar
• Lv, L., & Ma, D. (2012). Public perceptions and acceptance of risk in biotechnology applications. China Soft Science, 6, 58-67. google scholar
• Longji Hu, Rongjin Liu,Wei Zhang and Tian Zhang (2020). The Effects of Epistemic Trust and Social Trust on Public Acceptance of Genetically Modified Food: An Empirical Study from China. Int. J. Environ. Res. Public Health, 17(20), 7700. https://doi.org/10.3390/ijerph17207700. google scholar
• Montuari, P., Triassi, M., & Sarnacchiaro, P. (2012). The consumption of genetically modified foods in Italian high school students. Food Quality and Preference, 26, 246-251 google scholar
• Özdemir, O. (2009). Attitudes of consumers toward the effects of genetically modified organisms (GMO’s). Journal ofFood, Agriculture & Environment, 7(3), 132-138. google scholar
• Özdemir, O., & Duran, M. (2010). Consumer attitude towards biotechnological applications and genetically modified organism. Academic Food Journal, 8(5): 20-28. google scholar
• Phillips, D.M., & Hallman, W.K. (2013). Consumer Risk Perceptions and Marketing Strategy: The Case of Genetically Modified Food. Psychology & Marketing, 30(9), 739-748. https://doi.org/10.1002/mar.20642. google scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal ofApplied Psychology, 88(5), 879. google scholar
• Prati, G., Pretrantoni, L., & Zani, B. (2012). The prediction of intention to consume genetically modified food: Test of an integrated psychosocial model food. Food Quality and Preference, 25(2), 163-170. google scholar
• Rodfguez-Entrena, M., & Salazar-Ordonez, M. (2013). Influence of scientific-technical literacy on consumers behavioural intentions regarding new food. Appetite, 60(1), 193-202. google scholar
• Rodfguez-Entrena, M., Salazar-Ordonez, M., & Sayadi, S. (2013). Applying partial least squares to model genetically modified food purchase intentions in southern Spain consumers. Food Policy, 40(6), 44-53. google scholar
• Schermelleh- Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: test of significance and descriptive goodness of-fit measures. Methods of Psychological Research- Online, 8(2): 23-74. google scholar
• Tahmaz, G.S., & Özkaya, D. F. (2017). Consumers’ GMO perception: Ankara case study. Journal of Management, Economic and Marketing Research, 1(4), 31-40. google scholar
• Yılmaz, F. (2014). Genetically modified organisms and products with biosafety in plant production. Planning Expertise Thesis. Republic of Turkey Ministry of Development, ISBN 978-605-9041-15-7, Ankara. google scholar
• Zhang, Y.Y., Jing, L., Bai, Q., Shao, W., & et al. (2018). Application of an integrated framework to examine Chinese consumers’ purchase intention toward genetically modified food. Food Quality and Preference, 65, 118-128. google scholar