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Nudging attitudes toward IT innovations by information provision that serves as a reminder of familial support

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  • Hidenori Komatsu
  • Hiromi Kubota
  • Nobuyuki Tanaka

Abstract

There is concern among the general public that information technology (IT) innovations may make existing jobs redundant. This may be perceived to pose a greater problem to future generations because new technologies, not limited to IT innovations, will be sophisticated in the future. Our previous work revealed that messages reminding people of familial support as a nudge can moderate risk-averse attitudes toward risks that are perceived to threaten future generations, which could be effective for other kinds of risks. Therefore, we conducted a randomized controlled trial to examine the message effects for information provision on IT innovations. The study was conducted via an online questionnaire survey in January 2020, before the COVID-19 pandemic, and more than 3,200 samples were collected from respondents aged 20 years or older living in Japan. The treatment groups received basic information supplemented with additional text or additional text and an illustration that highlighted IT innovations as support from previous generations. The control group received only the basic textual information. The effects of the intervention were evaluated by comparing changes in average subjective assessment of IT in the treatment groups with those in the control group. The intervention effect was statistically significant, and the sense of familial support after receiving the intervention messages was significantly increased in the treatment group that viewed the illustration compared with the control group. Additionally, we discuss how each component of the HEXACO personality traits influences responses to the intervention messages. Through a series of surveys, we demonstrated the potential of our framework for a wide variety of applications involving information provision perceived to involve future generations.

Suggested Citation

  • Hidenori Komatsu & Hiromi Kubota & Nobuyuki Tanaka, 2023. "Nudging attitudes toward IT innovations by information provision that serves as a reminder of familial support," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-24, February.
    • Handle: RePEc:plo:pone00:0282077
    DOI: 10.1371/journal.pone.0282077
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    References listed on IDEAS

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    1. Kahneman, Daniel & Ritov, Ilana & Schkade, David A, 1999. "Economic Preferences or Attitude Expressions?: An Analysis of Dollar Responses to Public Issues," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 203-235, December.
    2. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    3. Noah J. Goldstein & Robert B. Cialdini & Vladas Griskevicius, 2008. "A Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(3), pages 472-482, March.
    4. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    5. Barbara Prainsack, 2020. "The value of healthcare data: to nudge, or not?," Policy Studies, Taylor & Francis Journals, vol. 41(5), pages 547-562, September.
    6. repec:plo:pone00:0227024 is not listed on IDEAS
    7. Kahneman, Daniel & Ritov, Ilana, 1994. "Determinants of Stated Willingness to Pay for Public Goods: A Study in the Headline Method," Journal of Risk and Uncertainty, Springer, vol. 9(1), pages 5-38, July.
    8. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    9. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    10. Sanders, Michael & Stockdale, Emma & Hume, Susannah & John, Peter, 2021. "Loss aversion fails to replicate in the coronavirus pandemic: Evidence from an online experiment," Economics Letters, Elsevier, vol. 199(C).
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