References
- 1Ahteensuu, M. (2012) ‘Assumptions of the deficit model type of thinking: ignorance, attitudes, and science communication in the debate on genetic engineering in agriculture’, Journal of Agricultural and Environmental Ethics, 25(3), pp. 295–313. Available at: 10.1007/s10806-011-9311-9
- 2Auspurg, K. and Hinz, T. (2014) Factorial survey experiments (Vol. 175). Sage Publications. Available at: 10.4135/9781483398075
- 3Bergeot, J. and Jusot, F. (2024) ‘Risk, time preferences, trustworthiness and COVID-19 preventive behavior: evidence from France’, European Journal of Health Economics: HEPAC: Health Economics in Prevention and Care, 25(1), pp. 91–101. Available at: 10.1007/s10198-023-01573-y
- 4Bruine de Bruin, W. and Bennett, D. (2020) ‘Relationships between initial COVID-19 risk perceptions and protective health behaviors: A national survey’, American Journal of Preventive Medicine, 59(2), pp. 157–167. Available at: 10.1016/j.amepre.2020.05.001
- 5Cori, L. et al. (2020) ‘Risk perception and COVID-19’, International Journal of Environmental Research and Public Health, 17(9), p.
3114 . Available at: 10.3390/ijerph17093114 - 6Dai, Y. et al. (2022) ‘The paradoxical effects of institutional trust on risk perception and risk management in the Covid-19 pandemic: Evidence from three societies’, Journal of Risk Research, 25(11–12), pp. 1337–1355. Available at: 10.1080/13669877.2022.2108122
- 7Desarbo, W.S. et al. (1992) ‘Latent class metric conjoint analysis’, Marketing Letters, 3(3), pp. 273–288. Available at: 10.1007/BF00994135
- 8Dryhurst, S. et al. (2020)
‘Risk perceptions of COVID-19 around the world’ , in COVID-19. Routledge, pp. 162–174. - 9European Union. (2001) Eurobarometer 55.2: Europeans, science and technology. European Commission. Available at:
https://ec.europa.eu/research/press/2001/pr0612en-report.pdf (Accessed: 23 January 2019). - 10Finucane, M.L. et al. (2002) ‘Aging and decision-making competence: an analysis of comprehension and consistency skills in older versus younger adults considering health-plan options’, Journal of Behavioral Decision Making, 15(2), pp. 141–164. Available at: 10.1002/bdm.407
- 11Gao, S. et al. (2020) ‘Association of mobile phone location data indications of travel and stay-at-home mandates with COVID-19 infection rates in the US’, JAMA Network Open, 3(9),
e2020485 . Available at: 10.1001/jamanetworkopen.2020.20485 - 12Gensler, S. (2021)
‘Finite mixture models’ , in C. Homburg, M. Klarmann and A. Vomberg (eds.) Handbook of market research. Springer International Publishing, pp. 251–264. Available at: 10.1007/978-3-319-57413-4_12 - 13Hisam, M.W. et al. (2024) ‘The versatility of the Taguchi method: Optimizing experiments across diverse disciplines’, Journal of Statistical Theory and Applications, 23(4), pp. 365–389. Available at: 10.1007/s44199-024-00093-9
- 14Igarashi, A., Nakano, Y. and Yoneyama-Hirozane, M. (2022) ‘Public preferences and willingness to accept a hypothetical vaccine to prevent a pandemic in Japan: A conjoint analysis’, Expert Review of Vaccines, 21(2), pp. 241–248. Available at: 10.1080/14760584.2022.2016402
- 15Im, J., Kim, J. and Choeh, J. Y. (2021) ‘COVID-19, social distancing, and risk-averse actions of hospitality and tourism consumers: A case of South Korea’, Journal of Destination Marketing and Management, 20,
100566 . Available at: 10.1016/j.jdmm.2021.100566 - 16Inagaki, Y. et al. (2021) ‘Investigation of the actual condition and countermeasures of inappropriate responses to web surveys using latent rank analysis’, Sociological Theory and Methods, 36(2), pp. 132–148.
- 17Ito, K., Kanemitsu, S., Kimura, R. and Omori, R. (2022) ‘Future behaviors decision-making regarding travel avoidance during COVID-19 outbreaks’, Scientific Reports, 12(1), p.
19780 . Available at: 10.1038/s41598-022-24323-1 - 18Kacker, R.N., Lagergren, E.S. and Filliben, J.J. (1991) ‘Taguchi’s orthogonal arrays are classical designs of experiments’, Journal of Research of the National Institute of Standards and Technology, 96(5), pp. 577–591. Available at: 10.6028/jres.096.034
- 19Kato-Nitta, N., Maeda, T., Inagaki, Y. and Tachikawa, M. (2019) ‘Expert and public perceptions of gene-edited crops: Attitude changes in relation to scientific knowledge’, Palgrave Communications, 5(1), p.
137 . Available at: 10.1057/s41599-019-0328-4 - 20Kato-Nitta, N., Tachikawa, M., Inagaki, Y. and Maeda, T. (2023) ‘Public perceptions of risks and benefits of gene-edited food crops: An international comparative study between the US, Japan, and Germany’, Science, Technology, & Human Values, 48(6), pp. 1360–1392. Available at: 10.1177/01622439221123830
- 21Kotler, P.T. and Keller, K.L. (2012) Marketing management. Pearson.
- 22Krosnick, J.A. (1991) ‘Response strategies for coping with the cognitive demands of attitude measures in surveys’, Applied Cognitive Psychology, 5(3), pp. 213–236. Available at: 10.1002/acp.2350050305
- 23Lobb, A. (2005) ‘Consumer trust, risk and food safety: A review’, Food Economics – Acta Agriculturae Scandinavica, Section C, 2(1), pp. 3–12. Available at: 10.1080/16507540510033424
- 24Louviere, J.J. (1988) Analyzing decision making: metric conjoint analysis. Sage Publications. Available at: 10.4135/9781412983365
- 25Maniaci, M.R. and Rogge, R.D. (2014)
‘Conducting research on the Internet’ , in H.T. Reis and C.M. Judd (eds.) Handbook of research methods in social and personality psychology, 2nd ed. New York, Cambridge University Press. pp. 443–470. Available at: 10.1017/CBO9780511996481.021 - 26Marivate, V. and Combrink, H.M. (2020) ‘Use of Available Data to Inform The COVID-19 Outbreak in South Africa: A Case Study’, Data Science Journal, 19(19), pp. 1–7. Available at: 10.5334/dsj-2020-019
- 27Ministry of Education. (2021/2022) Republic of China (Taiwan). Education in Taiwan. Available at:
https://stats.moe.gov.tw/bookcase/Education_in_Taiwan/110/index.html . - 28Mitra, A. (2011) ‘The Taguchi method’, WIREs Computational Statistics, 3(5), pp. 472–480. Available at: 10.1002/wics.169
- 29Nakadai, K., Kasamaki, K. and Shimofune, T. (2018) ‘Levels of the preventive medicine and the competence measured by health literacy scale in Japan: The literature review’, Health and Behavior Sciences, 16(2), pp. 73–93. In Japanese.
- 30National Science Board. (2016) Science and engineering indicators 2016. National Science Foundation. Available at:
https://www.nsf.gov/statistics/2016/nsb20161/uploads/1/10/tt07-03.pdf (Accessed: 7 August 2018). - 31Okamoto, M. et al. (2012) ‘Health numeracy in Japan: Measures of basic numeracy account for framing bias in a highly numerate population’, BMC Medical Informatics and Decision Making, 12(1), p.
104 . Available at: 10.1186/1472-6947-12-104 - 32Omori, R. et al. (2024) ‘Human movement avoidance decisions during coronavirus disease 2019 in Japan’, Journal of Theoretical Biology, 585, p.
111795 . Available at: 10.1016/j.jtbi.2024.111795 - 33Organization for Economic Co-operation and Development. (2021) Adult education level. Available at:
https://data.oecd.org/eduatt/adult-education-level.htm . - 34Qin, H. et al. (2021) ‘Exploring the dynamic relationships between risk perception and behavior in response to the coronavirus disease 2019 (COVID-19) outbreak’, Social Science and Medicine, 285, p.
114267 . Available at: 10.1016/j.socscimed.2021.114267 - 35Rao, V.R. (2014) Applied conjoint analysis. Springer. Available at: 10.1007/978-3-540-87753-0
- 36Rayani, M., Rayani, S. and Najafi-Sharjabad, F. (2021) ‘COVID-19-related knowledge, risk perception, information seeking, and adherence to preventive behaviors among undergraduate students, southern Iran’, Environmental Science and Pollution Research International, 28(42), pp. 59953–59962. Available at: 10.1007/s11356-021-14934-y
- 37Reeskens, T., Roosma, F. and Wanders, E. (2021) ‘The perceived deservingness of COVID-19 healthcare in the Netherlands: A conjoint experiment on priority access to intensive care and vaccination’, BMC Public Health, 21(1), p.
447 . Available at: 10.1186/s12889-021-10488-3 - 38Schaller, M. and Murray, D.R. (2010)
‘Infectious diseases and the evolution of cross-cultural differences’ , Evolution, culture, and the human mind. New York: Psychology Press, pp. 243–56. - 39Schneider, C.R. et al. (2021) ‘COVID-19 risk perception: A longitudinal analysis of its predictors and associations with health protective behaviors in the United Kingdom’, Journal of Risk Research, 24(3–4), pp. 294–313. Available at: 10.1080/13669877.2021.1890637
- 40Simis, M.J. et al. (2016) ‘The lure of rationality: Why does the deficit model persist in science communication?’, Public Understanding of Science, 25(4), pp. 400–414. Available at: 10.1177/0963662516629749
- 41Slovic, P., Fischhoff, B. and Lichtenstein, S. (1981) ‘Informing the public about the risks from ionizing radiation’, Health Physics, 41(4), pp. 589–598. Available at: 10.1097/00004032-198110000-00001
- 42Taguchi, G. (1977; 2010) Jikken keikaku hou, 3rd ed. Tokyo, Maruzen: in Japanese.
- 43Taguchi, G. (1987) The system of experimental design: engineering methods to optimize quality and minimize costs. White Plains, NY, Quality Resources.
- 44Taguchi, G. and Konishi, S. (1959) Chokkouhyouniyoru Jikken-no Waritsukekata. Tokyo, Nikkagiren: in Japanese.
- 45Terada, T. (1948)
‘Shou bakuhatsu niken’ , in Terada Torahiko Zuihitsu shu. Iwanami Shoten: in Japanese. - 46Tourangeau, R., Conrad, F.G. and Couper, M.P. (2013) The science of web surveys. Oxford University Press. Available at: 10.1093/acprof:oso/9780199747047.001.0001
- 47van Doren, T.P. et al. (2024) ‘Risk perception and reappraisal during the COVID-19 pandemic in southeast Alaska: Self-identified determinants of risk and protective health behaviors’, Social Science & Medicine, 361,
117378 . Available at: 10.1016/j.socscimed.2024.117378 - 48Wang, K. et al. (2023) ‘Loss-framing of information and pre-vaccination consultation improve COVID-19 vaccine acceptance: A survey experiment’, Frontiers in Public Health, 11,
1063444 . Available at: 10.3389/fpubh.2023.1063444 - 49World Bank. (2023) World Bank country and lending groups. Available at:
https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups (Accessed: 31 March 2023). - 50Yang, K. and El-Haik, B. (2008)
‘Taguchi’s orthogonal array experiment’ , in K. Yangand and B. El-Haik (eds.) Design for six sigma: A road map for product development. New York: McGraw-Hill, pp. 469–497. Available at: 10.1002/9780470264003
