Studi Literatur : Faktor-Faktor Yang Mempengaruhi Minat Pemasar untuk Menggunkan AI Marketing.

Authors

  • Syarifuddin Syarifuddin Universitas Negeri Makassar
  • Andhi Febisatria Universitas Negeri Makassar
  • Leonardo Davidsi Sipayung Universitas Negeri Makassar
  • Andi Aris Mattunruang Universitas Pattmopo
  • Abd. Rahman Yus Universitas Sawerigading

DOI:

https://doi.org/10.61722/jiem.v3i11.7211

Keywords:

: AI Marketing, minat pemasar, adopsi teknologi, kepercayaan, etika digital

Abstract

Artificial Intelligence (AI) menjadi teknologi strategis dalam transformasi pemasaran dan mengubah cara pemasar merancang serta mengevaluasi kampanye. Penelitian ini menganalisis 30 artikel menggunakan studi literatur dan analisis tematik untuk mengidentifikasi faktor-faktor yang memengaruhi minat pemasar dalam menggunakan AI Marketing. Hasil menunjukkan bahwa minat dipengaruhi oleh faktor teknologi, individu, organisasi, risiko–etika, dan kepercayaan. Persepsi manfaat dan kemudahan penggunaan menjadi pendorong utama, didukung kualitas sistem dan kecerdasan algoritmik. Inovasi personal, literasi digital, serta kesiapan teknologi turut meningkatkan intensi penggunaan. Dukungan manajemen, budaya digital, dan infrastruktur organisasi memperkuat kesiapan implementasi. Hambatan muncul dari risiko privasi, transparansi algoritma, dan isu etika. Kepercayaan terhadap AI menjadi faktor kunci karena penerimaan sangat bergantung pada akurasi dan keandalan sistem. Penelitian ini memperjelas determinan minat adopsi AI Marketing dan merekomendasikan studi lanjutan dengan mixed methods atau keterlibatan praktisi untuk validasi empiris.

 

References

Adanyin, R. (2024). Ethical AI in retail marketing: Consumer perceptions of algorithmic fairness. Journal of Digital Commerce, 18(2), 112–129.

Alice, T., & Ebuka, O. (2024). Digital infrastructure readiness and AI adoption in enterprises. International Journal of Information Systems, 9(3), 77–90.

Amin, T. (2025). Artificial intelligence and marketing transformation in the digital economy. International Journal of Marketing Technology, 7(1), 14–29.

Boell, S., & Cecez-Kecmanovic, D. (2015). On being systematic in literature reviews in IS. Journal of Information Technology, 30(2), 161–173.

Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE Publications.

Chen, L. (2025). AI adoption intensity and competitive strategy in data-driven enterprises. Journal of Strategic Information Systems, 31(4), 77–99.

Dietvorst, B. (2023). Algorithm aversion in decision-making contexts. Artificial Intelligence Review, 36(4), 301–320.

Forrester. (2025). AI adoption and data-driven decision making report. Global Digital Intelligence Review, 22(3), 88–103.

Giang, M., Le, H., & Tran, P. (2025). User acceptance of AI-based content generation tools in digital advertising. Journal of Advertising Technology, 13(2), 68–84.

Hassan, A. (2023). Previous technology experience and intention to adopt AI tools. Journal of Technology Engagement, 11(3), 52–67.

Khamoushi, M. (2024). Competitive advantage through early AI adoption: Evidence from global enterprises. International Review of Business Technology, 15(3), 201–219.

Labib, A. (2024). Explainability and transparency in AI marketing systems: A systematic literature review. Journal of Marketing Intelligence, 37(1), 98–126.

Lorica, J. (2018). Organizational readiness for artificial intelligence implementation. Journal of Technology Management, 19(2), 44–60.

Mani, R. (2025). System quality as a determinant of AI marketing success. Journal of Information Quality, 22(1), 33–49.

Markou, S. (2025). Machine learning-driven segmentation and predictive analytics in digital marketing. European Journal of Marketing Innovation, 12(1), 121–140.

Markou, T. (2025). Trust as a mediator in AI marketing adoption. Journal of Digital Business, 19(2), 143–158

Medranda Morales, J. (2025). Digital transformation and AI readiness among global marketers. Journal of Marketing Digitalization, 10(1), 51–73.

News Survey Report. (2025). Marketer experience and trust in AI marketing tools. Global Digital Insights, 3(1), 1–20..

Nathan, P. (2018). Competitive pressure and technological adoption in business ecosystems. Technology and Innovation Review, 26(3), 79–94.

Nguyen, H. (2025). Personal innovativeness and behavioral intention toward AI tools in marketing. Journal of Interactive Marketing Science, 8(2), 103–121.

Olayanju, R. (2025). Technology literacy and adoption behavior in AI-driven business environments. International Journal of Business Digitalization, 6(2), 72–94.

Putri, S. (2024). Perceived risk and resistance factors in AI-based marketing systems. Jurnal Teknologi Pemasaran, 9(3), 166–180.

Rahman, S. (2024). External regulation and AI implementation strategies. Journal of Business Policy, 9(3), 134–149..

Ribeiro, D. (2025). AI-powered automation and predictive analytics in customer engagement strategies. Journal of Marketing Technology Research, 17(1), 34–56.

Riti, A. (2025). Ethical considerations and transparency challenges in AI-based advertising. Journal of Applied Marketing Ethics, 5(1), 29–47.

Ross, D. (2024). Attitude toward AI as a mediator in adoption intention. Journal of Consumer Technology Behaviour, 13(4), 210–227.

Santosa, B. (2024). Determinants of AI marketing adoption among SMEs in Indonesia. Jurnal Manajemen Teknologi, 23(2), 33–54.

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339.

Soni, G., Kumar, R., & Verma, A. (2021). Regulatory and environmental influences on AI adoption in organizations. International Journal of Business Technology, 22(4), 144–161.

Surgawati, R. (2024). Employee adaptability and digital readiness in AI adoption. Journal of Organizational Technology, 11(1), 58–76.

Walsh, P. (2025). Strategic benefits and willingness to adopt AI in content marketing. Global Journal of Integrated Marketing, 6(1), 81–97.

Xiao, Y., & Watson, M. (2019). Guidance on conducting literature reviews. Journal of Information Science, 45(3), 1–16.

Yang, X. (2025). Strategic value of AI tools in digital marketing effectiveness. Journal of Marketing Performance, 14(1), 94–113.

Downloads

Published

2025-11-28

Issue

Section

Articles