Theoretical Article

ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL

Volume: 5 Number: 2 October 29, 2023
EN

ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL

Abstract

of influencing their purchase intention. The impact of advertising is important for generating product recognition and sales. With the technological advancement in AI usage in businesses, the integration of Artificial Intelligence in contemporary advertising strategies is impactful. This study aims to explain how Artificial Intelligence (AI) can be used in advertising, underpinned by Technology Acceptance Model (TAM). Using the TAM model, the paper explains how people come to accept and use AI in ads. It is proposed that if people find AI in ads useful and easy to understand, they're more likely to respond positively. Besides, social impact is also considered when explaining consumer attitude and purchase intention. This research helps advertisers understand how to use AI better in their campaigns to engage consumers and get better results.

Keywords

Ethical Statement

Etik Beyana gerek olmamaktadır.

References

  1. jstAhn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420. https://doi.org/10.1016/j.elerap.2004.05.001
  2. Aksu, H., Babun, L., Conti, M., Tolomei, G., & Uluagac, A. S. (2018). Advertising in the IoT era: Vision and Challenges. IEEE Communications Magazine, 56(11), 138-144. https://doi.org/10.1109/MCOM.2017.1700871
  3. Alenezi, H., Tarhini, A., & Sharma, S. K. (2015). Development of quantitative model to investigate the strategic relationship between information quality and e-government benefits. Transforming Government: People, Process and Policy, 9(3), 324-351. https://doi.org/10.1108/tg-01-2015-0004
  4. Bagozzi, R. P., Wong, N., Abe, S., & Bergami, M. (2000). Cultural and situational contingencies and the theory of reasoned action: Application to fast food restaurant consumption. Journal of Consumer Psychology, 9(2), 97-106. https://doi.org/10.1207/15327660051044187
  5. Bhattacherjee, A., & Hikmet, N. (2008). Reconceptualizing organizational support and its effect on information technology usage: Evidence from the health care sector. Journal of Computer Information Systems, 48(4), 69-76. https://doi.org/10.1080/08874417.2008.11646036
  6. Campbell, C., Plangger, K., Sands, S., & Kietzmann, J. (2022). Preparing for an era of Deepfakes and AI-generated ads: A framework for understanding responses to manipulated advertising. Journal of Advertising, 51(1), 22-38. https://doi.org/10.1080/00913367.2021.1909515
  7. Cao, G., Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2021). Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation, 106, 102312. https://doi.org/10.1016/j.technovation.2021.102312
  8. Cha, J. (2010). Factors affecting the frequency and amount of social networking site use: Motivations, perceptions, and privacy concerns. First Monday, 15(12). https://doi.org/10.5210/fm.v15i12.2889

Details

Primary Language

English

Subjects

Business Administration, Marketing Management

Journal Section

Theoretical Article

Publication Date

October 29, 2023

Submission Date

October 16, 2023

Acceptance Date

October 26, 2023

Published in Issue

Year 2023 Volume: 5 Number: 2

APA
Sarp, S. (2023). ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL. Economics Business and Organization Research, 5(2), 161-174. https://izlik.org/JA62WX43GG
AMA
1.Sarp S. ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL. Economics Business and Organization Research. 2023;5(2):161-174. https://izlik.org/JA62WX43GG
Chicago
Sarp, Serap. 2023. “ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL”. Economics Business and Organization Research 5 (2): 161-74. https://izlik.org/JA62WX43GG.
EndNote
Sarp S (October 1, 2023) ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL. Economics Business and Organization Research 5 2 161–174.
IEEE
[1]S. Sarp, “ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL”, Economics Business and Organization Research, vol. 5, no. 2, pp. 161–174, Oct. 2023, [Online]. Available: https://izlik.org/JA62WX43GG
ISNAD
Sarp, Serap. “ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL”. Economics Business and Organization Research 5/2 (October 1, 2023): 161-174. https://izlik.org/JA62WX43GG.
JAMA
1.Sarp S. ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL. Economics Business and Organization Research. 2023;5:161–174.
MLA
Sarp, Serap. “ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL”. Economics Business and Organization Research, vol. 5, no. 2, Oct. 2023, pp. 161-74, https://izlik.org/JA62WX43GG.
Vancouver
1.Serap Sarp. ARTIFICIAL INTELLIGENCE IN ADVERTISEMENTS: A CONCEPTUAL FRAMEWORK BASED ON THE TECHNOLOGY ACCEPTANCE MODEL. Economics Business and Organization Research [Internet]. 2023 Oct. 1;5(2):161-74. Available from: https://izlik.org/JA62WX43GG