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First published online December 21, 2019

Shaking Confidence in Technology: Effects of an Earthquake-Induced Nuclear Disaster on Technology Adoption in Middle-Aged and Older Adults

Abstract

Using the coincidental timing of a national survey conducted in Japan before and after the Fukushima Daiichi nuclear disaster in 2011, this study reports a rare natural experiment that explored how the experience of a nuclear disaster influenced technology adoption in middle-aged and older adults. We conducted path analyses assessing how technology or nontechnology adoption intention and behavior changed before and after the nuclear disaster and whether age could moderate the potential change over and above other relevant factors. Our models supported that Japanese middle-aged to older adults reported fewer technology adoption behaviors after experiencing of the earthquake. However, the negative impact of the earthquake was not more pronounced in older adults. Our results suggest that researchers need to pay more attention to the issue of how loss of trust and/or perceived risk affect technology adoption interacting with other relevant factors, particularly, age-related factors and abilities.

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References

Chen K., Chan A. H. (2014). Predictors of gerontechnology acceptance by older Hong Kong Chinese. Technovation, 34, 126–135. https://doi.org/10.1016/j.technovation.2013.09.010
Cheron E., Kohlbacher F. (2018). Older consumers’ adoption of innovation in Japan: The mediating role of cognitive age. Journal of International Consumer Marketing, 30(4), 244–259. https://doi.org/10.1080/08961530.2018.1436481
Chung J. E., Park N., Wang H., Fulk J., McLaughlin M. (2010). Age differences in perceptions of online community participation among non-users: An extension of the technology acceptance model. Computers in Human Behavior, 26, 1674–1684. https://doi.org/10.1016/j.chb.2010.06.016
Cruz A. M., Steinberg L. J., Vetere-Arellano A. L. (2006). Emerging issues for Natech disaster risk management in Europe. Journal of Risk Research, 9, 483–501.
Czaja S. J., Charness N., Fisk A. D., Hertzog C., Nair S., Rogers W., Sharit J. (2006). Factors predicting the use of technology: Findings from the Center on Research and Aging and Technology Enhancement (CREATE). Psychology and Aging, 21, 333–352. https://doi.org/10.1037/0882-7974.21.2.333
Czaja S. J., Sharit J. (1998). Age differences in attitudes toward computers. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 53, 329–340. https://doi.org/10.1093/geronb/53B.5.P329
Davis F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340. https://doi.org/10.2307/249008
Davis F. D., Venkatesh V. (2004). Toward preprototype user acceptance testing of new information systems: Implications for software project management. IEEE Transactions on Engineering Management, 51, 31–46. https://doi.org/10.1109/TEM.2003.822468
Dunning T. (2012). Natural experiments in the social sciences: A design-based approach. Cambridge University Press.
Goebel J., Krekel C., Tiefenbach T., Ziebarth N. R. (2015). How natural disasters can affect environmental concerns, risk aversion, and even politics: Evidence from Fukushima and three European countries. Journal of Population Economics, 28, 1137–1180. https://doi.org/10.1007/s00148-015-0558-8
Hayes A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.
Hayes A. F. (2015) An index and test of linear moderated mediation, Multivariate Behavioral Research, 50, 1–22. https://doi.org/10.1080/00273171.2014.962683
Hoff K. A., Bashir M. (2015). Trust in automation: Integrating empirical evidence on factors that influence trust. Human Factors, 57, 407–434. https://doi.org/10.1177/0018720814547570
Huang L., Zhou Y., Han Y., Hammitt J. K., Bi J., Liu Y. (2013). Effect of the Fukushima nuclear accident on the risk perception of residents near a nuclear power plant in China. Proceedings of the National Academy of Sciences of the United States, 110, 19742–19747. https://doi.org/10.1073/pnas.1313825110
Kingston J. (2012). Introduction. In Kingston J. (Ed.), Natural disaster and nuclear crisis in Japan: Response and recovery after Japan’s 3/11 (pp. 1–11). Routledge.
Kulviwat S., Bruner G. C. II, Al-Shuridah O. (2009). The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption. Journal of Business Research, 62, 706–712. https://doi.org/10.1016/j.jbusres.2007.04.014
Lee C., Coughlin J. F. (2015). PERSPECTIVE: Older adults’ adoption of technology: An integrated approach to identifying determinants and barriers. Journal of Product Innovation Management, 32, 747–759. https://doi.org/10.1111/jpim.12176
Lee E., Moschis G. P., Mathur A. (2001). A study of life events and changes in patronage preferences. Journal of Business Research, 54, 25–38.
Mayhorn C. B. (2005). Cognitive aging and the processing of hazard information and disaster warnings. Natural Hazards Review, 6, 165-170.
Mathur A., Moschis G. P., Lee E. (2008). A longitudinal study of the effects of life status changes on changes in consumer preferences. Journal of the Academy of Marketing Science, 36, 234–246. https://doi.org/10.1007/s11747-007-0021-9
Merkel S., Enste P., Hilbert J., Chen K., Chan A. H. S., Kwon S. (2016). Technology acceptance and aging. In Kwon S. (Ed), Gerontechnology: Research, practice, and principles in the field of technology and aging (pp. 335–349). Springer.
Meuter M. L., Bitner M. J., Ostrom A. L., Brown S. W. (2005). Choosing among alternative service delivery modes: An investigation of customer trial of self-service technologies. Journal of Marketing, 69, 61–83. https://doi.org/10.1509/jmkg.69.2.61.60759
Ngo E. B. (2001). When disasters and age collide: Reviewing vulnerability of the elderly. Natural Hazards Review, 2, 80–89.
Oishi S., Kohlbacher F., Choi H. (2018). Does a major earthquake change attitudes and well-being judgments? A natural experiment. Social Psychological and Personality Science, 9, 364–371. https://doi.org/10.1177/1948550617707016
Oishi S., Yagi A., Komiya A., Kohlbacher F., Kusumi T., Ishii K. (2017). Does a major earthquake change job preferences and human values? European Journal of Personality, 31, 258–265. https://doi.org/10.1002/per.2102
Porter C. E., Donthu N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59, 999–1007. https://doi.org/10.1016/j.jbusres.2006.06.003
Rehdanz K., Welsch H., Narita D., Okubo T. (2015). Well-being effects of a major natural disaster: The case of Fukushima. Journal of Economic Behavior & Organization, 116, 500–517.
Rodriguez H., Donner W., Trainor J. E. (Eds.). (2018). Handbook of disaster research (2nd ed.). Springer.
Sarker S., Wells J. D. (2003). Understanding mobile handheld device use and adoption. Communications of the ACM, 46, 35–40.
Schulz R., Wahl H. W., Matthews J. T., De Vito Dabbs A., Beach S. R., Czaja S. J. (2014). Advancing the aging and technology agenda in gerontology. The Gerontologist, 55, 724–734.
Siegrist M., Visschers V. H. (2013). Acceptance of nuclear power: The Fukushima effect. Energy Policy, 59, 112–119. https://doi.org/10.1016/j.enpol.2012.07.051
Silver R. C., Garfin D. R. (2016). Coping with disasters. In Norcross J. C., VandenBos G. R., Freedheim D. K., Pole N. (Eds.), APA handbook of clinical psychology: Psychopathology and health (Vol. 4, pp. 597–611). American Psychological Association.
Smith A. (2018, May 23). Distrust in self-driving cars on the rise after crashes. CNN. http://money.cnn.com/2018/05/22/technology/self-driving-cars-aaa/index.html
Sobel M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290–312.
Souders D. J., Best R., Charness N. (2017). Valuation of active blind spot detection systems by younger and older adults. Accident Analysis & Prevention, 106, 505–514. https://doi.org/10.1016/j.aap.2016.08.020
Tacken M., Marcellini F., Mollenkopf H., Ruoppila I., Szeman Z. (2005). Use and acceptance of new technology by older people. Findings of the international MOBILATE survey: “Enhancing mobility in later life.” Gerontechnology, 3, 126–137. https://doi.org/10.4017/gt.2005.03.03.002.00
Tellis G. J., Yin E., Bell S. 2009. Global consumer innovativeness: Cross-country differences and demographic commonalities. Journal of International Marketing, 17, 1–22. https://doi.org/10.1509/jimk.17.2.1
Tiefenbach T., Kohlbacher F. (2015a). Disasters, donations, and tax law changes: Disentangling effects on subjective well-being by exploiting a natural experiment. Journal of Economic Psychology, 50, 94–112. https://doi.org/10.1016/j.joep.2015.07.005
Tiefenbach T., Kohlbacher F. (2015b). Happiness in Japan in times of upheaval: Empirical evidence from the national survey on lifestyle preferences. Journal of Happiness Studies, 16, 333–366. https://doi.org/10.1007/s10902-014-9512-9
Venkatesh V., Morris M. G., Davis G. B., Davis F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478. https://doi.org/10.2307/30036540
Venkatesh V., Thong J. Y. L., Xu X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36, 157–178.
Wang Y., Matz-Costa C., Miller J., Carr D. C., Kohlbacher F. (2018). Uses and gratifications sought from mobile phones and loneliness among Japanese midlife and older adults: A mediation analysis. Innovation in Aging, 2, Article igy027. https://doi.org/10.1093/geroni/igy027

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Published In

Article first published online: December 21, 2019
Issue published: May 2021

Keywords

  1. technology adoption
  2. disaster
  3. path analysis

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© The Author(s) 2019.
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History

Manuscript received: April 2, 2019
Revision received: November 18, 2019
Manuscript accepted: November 20, 2019
Published online: December 21, 2019
Issue published: May 2021
PubMed: 31868087

Authors

Affiliations

Neil Charness
Florida State University, Tallahassee, USA
Florian Kohlbacher
The Economist Corporate Network, Tokyo, Japan

Notes

Jong-Sung Yoon, Department of Psychology, University of South Dakota, 414 E. Clark St, Vermillion, SD 57069, USA. Email: [email protected]

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