IDEAS home Printed from https://ideas.repec.org/a/wyz/journl/id785.html

Enhancing Consumer Trust in AI-Created Goods: The Roles of Transparency, Simplicity, Familiarity and Authenticity in Market Integration

Author

Listed:
  • Shafiq Ur Rehman
  • Muhammad Fareed

Abstract

No abstract is available for this item.

Suggested Citation

  • Shafiq Ur Rehman & Muhammad Fareed, 2025. "Enhancing Consumer Trust in AI-Created Goods: The Roles of Transparency, Simplicity, Familiarity and Authenticity in Market Integration," Contemporary Economics, Vizja University, vol. 19(4), December.
    • Handle: RePEc:wyz:journl:id:785
    as

    Download full text from publisher

    File URL: http://ce.vizja.pl/en/download-pdf/id/785
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robinson, Stephen Cory, 2020. "Trust, transparency, and openness: How inclusion of cultural values shapes Nordic national public policy strategies for artificial intelligence (AI)," Technology in Society, Elsevier, vol. 63(C).
    2. Lixia Liu & Xueli Zhan, 2019. "Analysis of Financing Efficiency of Chinese Agricultural Listed Companies Based on Machine Learning," Complexity, Hindawi, vol. 2019, pages 1-11, July.
    Full references (including those not matched with items on IDEAS)

    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. Wilson, Christopher & van der Velden, Maja, 2022. "Sustainable AI: An integrated model to guide public sector decision-making," Technology in Society, Elsevier, vol. 68(C).
    2. Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
    3. König, Pascal D. & Wenzelburger, Georg, 2021. "The legitimacy gap of algorithmic decision-making in the public sector: Why it arises and how to address it," Technology in Society, Elsevier, vol. 67(C).
    4. Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
    5. Radtke, Jörg, 2025. "E-participation in energy transitions: What does it mean? Chances and challenges within Germany's Energiewende," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    6. Fosch-Villaronga, Eduard & Calleja, Carlos José & Drukarch, Hadassah & Torricelli, Diego, 2023. "How can ISO 13482:2014 account for the ethical and social considerations of robotic exoskeletons?," Technology in Society, Elsevier, vol. 75(C).
    7. Wang, Shangrui & Zhang, Yuanmeng & Xiao, Yiming & Liang, Zheng, 2025. "Artificial intelligence policy frameworks in China, the European Union and the United States: An analysis based on structure topic model," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    8. Renée Sieber & Ana Brandusescu & Suthee Sangiambut & Abigail Adu-Daako, 2025. "What is civic participation in artificial intelligence?," Environment and Planning B, , vol. 52(6), pages 1388-1406, July.
    9. Afshan Younas & Kabaly P Subramanian & Mohammed Al-Haziazi & Syed Sadullah Hussainy & Ahmed Nasser Salem Al Kindi, 2023. "A Review on Implementation of Artificial Intelligence in Education," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(8), pages 1092-1100, August.
    10. Yang, Hui & Li, Dan & Hu, Peng, 2024. "Decoding algorithm fatigue: The role of algorithmic literacy, information cocoons, and algorithmic opacity," Technology in Society, Elsevier, vol. 79(C).
    11. Jinjin Wang & Jiadi Yang, 2022. "Culture shaping and value realization of digital media art under Internet+," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1124-1133, December.
    12. Rodney Duffett & Rodica Milena Zaharia & Tudor Edu & Raluca Constantinescu & Costel Negricea, 2024. "Exploring the Antecedents of Artificial Intelligence Products’ Usage. The Case of Business Students," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 106-106, February.
    13. Yang, Xue, 2021. "Determinants of consumers’ continuance intention to use social recommender systems: A self-regulation perspective," Technology in Society, Elsevier, vol. 64(C).
    14. Matej Babšek & Dejan Ravšelj & Lan Umek & Aleksander Aristovnik, 2025. "Mapping the Adoption of Disruptive Technologies in Public Administration: A Bibliometric Analysis and Review of Practical Applications," SAGE Open, , vol. 15(2), pages 21582440251, May.
    15. Yong Sun & Hui Liu & Jiwei Liu & Mingyu Sun & Qun Li, 2023. "Analysis of Factors Influencing the Corporate Performance of Listed Companies in China’s Agriculture and Forestry Sector Based on a Panel Threshold Model," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    16. Matkarimova Gulchekhra Abdusamatovna, 2023. "Exploring the Ethical Dimensions of Artificial Intelligence in Advancing Human Rights and Sustainability," GREEN ECONOMY AND DEVELOPMENT, "Ma'rifat-Print-Media" LLC, Tashkent State University of Economics, vol. 1(9), September.
    17. Levent Kutlu & Xi Mao & Xuelei Sherry Ni, 2026. "A machine learning approach to stochastic frontier modeling," Journal of Productivity Analysis, Springer, vol. 65(2), pages 1-12, June.
    18. Jiali Han & Wenjie Ouyang & Zhiyi Gai & ZhiDong Feng, 2026. "Optimizing Resource Allocation to Enhance Sustainable Management of Agricultural Enterprises: Insights From Biological Asset Management Practices of Listed Companies in China," Agribusiness, John Wiley & Sons, Ltd., vol. 42(2), pages 748-765, April.
    19. Gong, Xiuyuan & Sun, Pengkai, 2026. "How to liberate human labor? Understanding the interplay of virtual streamer type and interaction style in livestreaming e-commerce," Journal of Business Research, Elsevier, vol. 205(C).
    20. Rongbin Yang & Santoso Wibowo, 2022. "User trust in artificial intelligence: A comprehensive conceptual framework," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2053-2077, December.

    More about this item

    Statistics

    Access and download statistics

    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:wyz:journl:id:785. 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: Marcin W. Staniewski, Ph.D. (email available below). General contact details of provider: https://edirc.repec.org/data/vizjapl.html .

    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.