IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v163y2021ics0040162520312749.html
   My bibliography  Save this article

A model for user acceptance of robot journalism: Influence of positive disconfirmation and uncertainty avoidance

Author

Listed:
  • Kim, Daewon
  • Kim, Suwon

Abstract

This study explored factors affecting acceptance of news articles written by robot journalists. Until now, there has been little discussion about robot journalism in the perspective of user behavior, especially in terms of psychological and cultural factors influencing users’ intention to continue or discontinue consumption of news articles produced by robot journalists. According to the results of this study, perceived quality and positive disconfirmation on news by robot journalists raised satisfaction, which led to an increase in intention to accept robot journalism. Also, the role of prior expectation and uncertainty avoidance were explored. The lower the prior expectation, the stronger the effect of positive disconfirmation on satisfaction, and the higher uncertainty avoidance, the weaker the effect of satisfaction on intention to accept news by robot journalists.

Suggested Citation

  • Kim, Daewon & Kim, Suwon, 2021. "A model for user acceptance of robot journalism: Influence of positive disconfirmation and uncertainty avoidance," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    • Handle: RePEc:eee:tefoso:v:163:y:2021:i:c:s0040162520312749
    DOI: 10.1016/j.techfore.2020.120448
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162520312749
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2020.120448?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kim, Daewon & Kim, Seongcheol, 2017. "Newspaper companies' determinants in adopting robot journalism," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 184-195.
    2. David E. Bell, 1985. "Disappointment in Decision Making Under Uncertainty," Operations Research, INFORMS, vol. 33(1), pages 1-27, February.
    3. Youjae Yi & Suna La, 2003. "The Moderating Role of Confidence in Expectations and the Asymmetric Influence of Disconfirmation on Customer Satisfaction," The Service Industries Journal, Taylor & Francis Journals, vol. 23(5), pages 20-47, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arsenyan, Jbid & Mirowska, Agata & Piepenbrink, Anke, 2023. "Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Moravec, Vaclav & Hynek, Nik & Skare, Marinko & Gavurova, Beata & Kubak, Matus, 2024. "Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2024. "The impact of ChatGPT on human skills: A quantitative study on twitter data," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    4. Khaksar, Seyed Mohammad Sadegh & Shahmehr, Fatemeh S. & Miah, Shah & Daim, Tugrul & Ozdemir, Dilek, 2024. "Privacy concerns versus personalisation benefits in social robot acceptance by employees: A paradox theory — Contingency perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chateauneuf, Alain & Eichberger, Jurgen & Grant, Simon, 2007. "Choice under uncertainty with the best and worst in mind: Neo-additive capacities," Journal of Economic Theory, Elsevier, vol. 137(1), pages 538-567, November.
    2. van Dijk, Wilco W. & van der Pligt, Joop, 1997. "The Impact of Probability and Magnitude of Outcome on Disappointment and Elation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(3), pages 277-284, March.
    3. Mohammed Abdellaoui & Olivier L’Haridon & Horst Zank, 2010. "Separating curvature and elevation: A parametric probability weighting function," Journal of Risk and Uncertainty, Springer, vol. 41(1), pages 39-65, August.
    4. Vaida Kaduskeviciute & Sigitas Urbonavicius, 2019. "Webrooming: A Way of Dealing with Uncertainties in Purchasing," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 31(2), pages 139-152.
    5. Thomas Buser, 2016. "The Impact of Losing in a Competition on the Willingness to Seek Further Challenges," Management Science, INFORMS, vol. 62(12), pages 3439-3449, December.
    6. Enrico G. De Giorgi & Thierry Post, 2011. "Loss Aversion with a State-Dependent Reference Point," Management Science, INFORMS, vol. 57(6), pages 1094-1110, June.
    7. Gao, Dong Li & Xie, Wei & Ming Lee, Eric Wai, 2022. "Individual-level exit choice behaviour under uncertain risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    8. David A. Asch & James P. Patton & John C. Hershey, 1991. "Prognostic Information versus Accuracy," Medical Decision Making, , vol. 11(1), pages 45-47, February.
    9. Shen, Yinhai & Zhang, Qing & Zhang, Zhichao & Ma, Xinyu, 2022. "Omnichannel retailing return operations with consumer disappointment aversion," Operations Research Perspectives, Elsevier, vol. 9(C).
    10. Abdellaoui, Mohammed & Bleichrodt, Han, 2007. "Eliciting Gul's theory of disappointment aversion by the tradeoff method," Journal of Economic Psychology, Elsevier, vol. 28(6), pages 631-645, December.
    11. Katarína Danková & Hodaka Morita & Maroš Servátka & Le Zhang, 2022. "Fairness concerns and job assignment to positions with different surplus," Southern Economic Journal, John Wiley & Sons, vol. 88(4), pages 1490-1516, April.
    12. Jong-Hee Hahn & Jinwoo Kim & Sang-Hyun Kim & Jihong Lee, 2018. "Price discrimination with loss averse consumers," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(3), pages 681-728, May.
    13. Verme, Paolo, 2009. "Happiness, freedom and control," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 146-161, August.
    14. Pierpaolo Battigalli & Martin Dufwenberg, 2019. "Psychological Game Theory," Working Papers 646, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    15. Wang, Di, 2021. "Attention-driven probability weighting," Economics Letters, Elsevier, vol. 203(C).
    16. Junbin Wang, 2022. "In‐store service decisions under consumer disappointment aversion," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 681-695, April.
    17. Patricia H. Born & E. Tice Sirmans, 2019. "Regret in health insurance post‐purchase behavior," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(2), pages 207-219, July.
    18. Servaas van Bilsen & Roger J. A. Laeven & Theo E. Nijman, 2020. "Consumption and Portfolio Choice Under Loss Aversion and Endogenous Updating of the Reference Level," Management Science, INFORMS, vol. 66(9), pages 3927-3955, September.
    19. Skiadas, Costis, 1997. "Subjective Probability under Additive Aggregation of Conditional Preferences," Journal of Economic Theory, Elsevier, vol. 76(2), pages 242-271, October.
    20. Corina Birghila & Tim J. Boonen & Mario Ghossoub, 2023. "Optimal insurance under maxmin expected utility," Finance and Stochastics, Springer, vol. 27(2), pages 467-501, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:163:y:2021:i:c:s0040162520312749. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.