oa AI-disclosure en merkattitude

References

1. Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.
   [Google Scholar]
2. Aydın, Ö., & Karaarslan, E. (2022). OpenAI ChatGPT Generated Literature Review: Digital Twin in Healthcare . In Ö.Aydın (Ed.), Emerging Computer Technologies2 (pp. 22-31). İzmir Akademi Dernegi.
   [Google Scholar]
3. Boerman, S. C., van Reijmersdal, E. A., & Neijens, P. C. (2015). How audience and disclosure characteristics influence memory of sponsorship disclosures. International Journal of Advertising, 34(4), 576-592.
   [Google Scholar]
4. Boerman, S. C., Van Reijmersdal, E. A., & Neijens, P. C. (2012). Sponsorship Disclosure: Effects of Duration on Persuasion Knowledge and Brand Responses. Journal Of Communication, 62(6), 1047–1064. https://doi.org/10.1111/j.1460-2466.2012.01677.x
   [Google Scholar]
5. Boerman, S. C., van Reijmersdal, E. A., Rozendaal, E., & Dima, A. L. (2018). Development of the Persuasion Knowledge Scales of Sponsored Content (PKS-SC). International Journal of Advertising, 37(5), 671-697.
   [Google Scholar]
6. Boerman, S. C., & van Reijmersdal, E. A. (2016). Informing consumers about “hidden” advertising: A literature review of the effects of disclosing sponsored content. In Emerald Group Publishing Limited eBooks (pp. 115-146).
   [Google Scholar]
7. Bower, G. H. (1981). Mood and memory. American Psychologist, 36(2), 129-148.
   [Google Scholar]
8. Campbell, M. C., Mohr, G., & Verlegh, P. W. (2013). Can disclosures lead consumers to resist covert persuasion? The important roles of disclosure timing and type of response. Journal of Consumer Psychology, 23(4), 483-495.
   [Google Scholar]
9. Chan, F. F. Y. (2020). Prior disclosure of product placement: The more explicit the disclosure, the better the brand recall and brand attitude. Journal Of Business Research, 120, 31-41.
   [Google Scholar]
10. Chen, L., & Jin, K. Y. (2020). Development and validation of the willingness to intervene in bullying scale. British Journal of Educational Psychology, 90(S1), 224-239.
    [Google Scholar]
11. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
    [Google Scholar]
12. Dekker, K., & Van Reijmersdal, E. A. (2010). Waarschuwingen, beroemdheden en brand placement: De effecten van type waarschuwing en geloofwaardigheid op kijker reacties. Disclosures, celebrities and brand placement: the effects of disclosure type and credibility on viewers responses. Tijdschrift voor Communicatiewetenschap, 38(4), 320-337
    [Google Scholar]
13. Deng, J., & Lin, Y. (2023). The benefits and challenges of ChatGPT: An overview. Frontiers in Computing and Intelligent Systems, 2(2), 81-83.
    [Google Scholar]
14. Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114.
    [Google Scholar]
15. Eastin, S. (2006). Credibility assessments of online health information: The effects of source expertise and knowledge of content. Journal of Computer-Mediated Communication, 6(4).
    [Google Scholar]
16. Ellemers, N., & Haslam, S. A. (2012). Social Identity Theory. SAGE Publications Ltd eBooks, 379-398.
    [Google Scholar]
17. European Commission. (z.d.). AI Act. Geraadpleegd op 23maart2023, van https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
    [Google Scholar]
18. European Commission, Consumers, Health, Agriculture and Food Executive Agency, Lupiáñez-Villanueva, F., Gaskell, G., Tornese, P., Vila, J., Gómez, Y., Allen, A., Veltri, G., & Codagnone, C. (2018). Behavioural study on the transparency of online platforms. Final report. https://doi.org/10.2818/637090
    [Google Scholar]
19. Franke, T., Attig, C., & Wessel, D. (2018). A personal resource for technology interaction: development and validation of the affinity for technology interaction (ATI) scale. International Journal of Human-Computer Interaction, 35(6), 456-467.
    [Google Scholar]
20. Fraune, M. R. (2020). Our robots, our team: Robot anthropomorphism moderates group effects in human-robot teams. Frontiers in Psychology, 11.
    [Google Scholar]
21. Gansser, O., & Reich, C. S. (2021). A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application. Technology in Society, 65, 101535.
    [Google Scholar]
22. García, M., & Lopez, S. S. (2019). Exploring the uncanny valley theory in the constructs of a virtual assistant personality. In Advances in intelligent systems and computing (pp. 1017-1033). Springer Nature.
    [Google Scholar]
23. Groen, K. (2023). Consumentenacceptatie van Artificial Intelligence groeit – Mijn Zakengids. Mijn Zakengids. https://www.mijnzakengids.nl/consumentenacceptatie-artificial-intelligence-groeit/
    [Google Scholar]
24. Gynn, A. (2023, 18januari). How an honest talk with ChatGPT surprised even a veteran editor. Content Marketing Institute. https://contentmarketinginstitute.com/articles/chatgpt-content-marketingexperiment/
    [Google Scholar]
25. Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. Journal of Marketing, 57(1), 1.
    [Google Scholar]
26. Kuhn, K. L., Hume, M., & Love, A. (2010). Examining the covert nature of product placement: Implications for public policy. Journal of Promotion Management, 16(1), 59-79.
    [Google Scholar]
27. MacKenzie, S. B., Lutz, R. A., & Belch, G. E. (1986). The role of attitude toward the ad as a mediator of advertising effectiveness: A test of competing explanations. Journal of Marketing Research, 23(2), 130.
    [Google Scholar]
28. Maile, C. A., & Kizilbash, A. H. (1976). Derogation of source: A matter of definition. Psychological Reports, 39(3), 780-782.
    [Google Scholar]
29. Matthes, J., & Naderer, B. (2015). Product placement disclosures: Exploring the moderating effect of placement frequency on brand responses via persuasion knowledge. International Journal Of Advertising, 35(2), 185-199.
    [Google Scholar]
30. Mirbabaie, M., Brünker, F., Möllmann, N. R., & Stieglitz, S. (2022). The rise of artificial intelligence-understanding the AI identity threat at the workplace. Electronic Markets, 1-27.
    [Google Scholar]
31. Nees, M. A. (2016, september). Acceptance of self-driving cars: An examination of idealized versus realistic portrayals with a self-driving car acceptance scale. In Proceedings of the human factors and ergonomics society annual meeting (pp. 1449-1453). SAGE Publications.
    [Google Scholar]
32. Obermiller, C., Spangenberg, E., & MacLachlan, D. L. (2005). Ad skepticism: The consequences of disbelief. Journal of Advertising, 34(3), 7-17.
    [Google Scholar]
33. Oxford Learner’s Dictionaries. (z.d.). Definition of disclosure noun from the Oxford Advanced Learner’s Dictionary. Geraadpleegd op 23maart2023, van https://www.oxfordlearnersdictionaries.com/definition/english/disclosure
    [Google Scholar]
34. Schaap, G., Bosse, T., & Hendriks Vettehen, P. (2023). The ABC of algorithmic aversion: Not agent, but benefits and control determine the acceptance of automated decision-making. AI & SOCIETY, 1-14.
    [Google Scholar]
35. Statista. (2022, 13december). Nike brand profile in the United States 2022. Statista. https://www.statista.com/forecasts/1252006/nike-sports-and-outdoor-online-shops-brand-profile-in-the-united-states
    [Google Scholar]
36. Sternthal, B., Dholakia, R., & Leavitt, C. (1978). The persuasive effect of source credibility: Tests of cognitive response. Journal of Consumer Research, 4(4), 252-260.
    [Google Scholar]
37. Stichting Reclame Code. (z.d.). Reclamecode social media. Geraadpleegd op 5maart2023, van https://www.reclamecode.nl/nrc/reclamecode-social-media-rsm/
    [Google Scholar]
38. Syed, A. A., & Mishra, N. (2019). Revisiting the affect transfer hypothesis (ATH) in the context of green advertising. International Journal of Research – Granthalaalayah, 5(1).
    [Google Scholar]
39. Tavakoli, S. S., Mozaffari, A., Danaei, A., & Rashidi, E. (2022). Explaining the effect of artificial intelligence on the technology acceptance model in media: A cloud computing approach. The Electronic Library, 41(1), 1-29.
    [Google Scholar]
40. Tiggemann, M. (2022). Digital modification and body image on social media: Disclaimer labels, captions, hashtags, and comments. Body Image, 41, 172-180.
    [Google Scholar]
41. Van Reijmersdal, E. A. (2013). Disclosing celebrity endorsement in a television program to mitigate persuasion: How disclosure type and celebrity credibility interact. Journal Of Promotion Management, 19(2), 224-240.
    [Google Scholar]
42. Van Reijmersdal, E. A., Lammers, N., Rozendaal, E., & Buijzen, M. (2015). Disclosing the persuasive nature of advergames: Moderation effects of mood on brand responses via persuasion knowledge. International Journal of Advertising, 34(1), 70-84.
    [Google Scholar]
43. Venkatesh, V., Morris, M., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27(3), 425.
    [Google Scholar]
44. Wang, X., & Qiu, X. (2024). The positive effect of artificial intelligence technology transparency on digital endorsers: Based on the theory of mind perception. Journal Of Retailing And Consumer Services, 78, 103777.
    [Google Scholar]
45. Wogalter, M. S., & Laughery, K. R. (1996). WARNING! Sign and label effectiveness. Current Directions in Psychological Science, 5(2), 33-37.
    [Google Scholar]
46. Wojdynski, B. W., & Evans, N. (2019). The Covert Advertising Recognition and Effects (CARE) model: Processes of persuasion in native advertising and other masked formats. International Journal Of Advertising, 39(1), 4-31.
    [Google Scholar]
47. Wright, P.L. (1975). The cognitive processes mediating acceptance of advertising. Journal of Marketing Research, 10(1), 53-62.
    [Google Scholar]
48. Zuwerink Jacks, J., & Cameron, K. A. (2003). Strategies for resisting persuasion. Basic and Applied Social Psychology, 25(2), 145-161.
    [Google Scholar]