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People’s Attitudes towards Technologies in Courts

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  • Dovilė Barysė

    (Institute of Psychology, Vilnius University, 01513 Vilnius, Lithuania)

Abstract

Courts are high-stakes environments; thus, the impact of implementing legal technologies is not limited to the people directly using the technologies. However, the existing empirical data is insufficient to navigate and anticipate the acceptance of legal technologies in courts. This study aims to provide evidence for a technology acceptance model in order to understand people’s attitudes towards legal technologies in courts and to specify the potential differences in the attitudes of people with court experience vs. those without it, in the legal profession vs. other, male vs. female, and younger vs. older. A questionnaire was developed, and the results were analyzed using partial least squares structural equation modeling (PLS-SEM). Multigroup analyses have confirmed the usefulness of the technology acceptance model (TAM) across age, gender, profession (legal vs. other), and court experience (yes vs. no) groups. Therefore, as in other areas, technology acceptance in courts is primarily related to perceptions of usefulness. Trust emerged as an essential construct, which, in turn, was affected by the perceived risk and knowledge. In addition, the study’s findings prompt us to give more thought to who decides about technologies in courts, as the legal profession, court experience, age, and gender modify different aspects of legal technology acceptance.

Suggested Citation

  • Dovilė Barysė, 2022. "People’s Attitudes towards Technologies in Courts," Laws, MDPI, vol. 11(5), pages 1-28, September.
    • Handle: RePEc:gam:jlawss:v:11:y:2022:i:5:p:71-:d:914127
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    References listed on IDEAS

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    1. Mohammad Hasan Galib & Khalid Ait Hammou & Jennifer Steiger, 2018. "Predicting Consumer Behavior: An Extension of Technology Acceptance Model," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(3), pages 1-73, August.
    2. Chay Brooks & Cristian Gherhes & Tim Vorley, 2020. "Artificial intelligence in the legal sector: pressures and challenges of transformation," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 135-152.
    3. Hamed Taherdoost, 2019. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-02557395, HAL.
    4. Faqih, Khaled M.S. & Jaradat, Mohammed-Issa Riad Mousa, 2015. "Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 37-52.
    5. Cornelia Sindermann & René Riedl & Christian Montag, 2020. "Investigating the Relationship between Personality and Technology Acceptance with a Focus on the Smartphone from a Gender Perspective: Results of an Exploratory Survey Study," Future Internet, MDPI, vol. 12(7), pages 1-17, June.
    6. Ulenaers Jasper, 2020. "The Impact of Artificial Intelligence on the Right to a Fair Trial: Towards a Robot Judge?," Asian Journal of Law and Economics, De Gruyter, vol. 11(2), pages 1, August.
    7. Patil, Pushp & Tamilmani, Kuttimani & Rana, Nripendra P. & Raghavan, Vishnupriya, 2020. "Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal," International Journal of Information Management, Elsevier, vol. 54(C).
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