Published: 2025-12-01
Peran Rekomendasi Berbasis AI Pada Iklan di Shopee dengan Pendekatan Theory of Planned Behavior
DOI: 10.35870/jemsi.v11i6.6055
Joel Imanuel, Fitri Yutika
- Joel Imanuel: Institut Teknologi dan Bisnis Sabda Setia
- Fitri Yutika: Institut Teknologi dan Bisnis Sabda Setia
Article Metrics
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
This study aims to analyze the factors influencing Purchase Intention and Purchase Decision using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach. The findings reveal that only two constructs significantly affect Purchase Intention, namely Attitude (AT) and Subjective Norm (SN), which aligns with the theoretical framework of the Theory of Planned Behavior (TPB). Meanwhile, other constructs such as Perceived Behavioral Control (PBC), Perceived Usefulness (PU), and Trust (T) do not exhibit a significant effect on Purchase Intention. The results also indicate that Purchase Intention does not significantly influence Purchase Decision, suggesting the presence of an intention–behavior gap, potentially driven by situational factors such as pricing, purchase conditions, or consumers’ momentary preferences during the transaction. The moderation analysis further shows that the interaction effect of PBC on the PI–PD relationship is not significant. Overall, the study emphasizes that psychological factors such as attitude and social norms are the primary drivers of purchase intention; however, the conversion of intention into actual purchase decisions is shaped by external influences. The study recommends incorporating situational and emotional variables in future research to better explain the gap between intention and actual behavior.
Keywords
Purchase Intention; Purchase Decision; AI Based Recommendations; Shopee Ads; Theory of Planned Behavior (TPB)
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges.
How to Cite
Article Information
This article has been peer-reviewed and published in the JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 11 No. 6 (2025)
-
Section: Articles
-
Published: 2025-12-01
-
License: CC BY 4.0
-
Copyright: © 2025 Authors
-
DOI: 10.35870/jemsi.v11i6.6055
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem.
Joel Imanuel, Institut Teknologi dan Bisnis Sabda Setia
Program studi Bisnis Digital, Institut Teknologi dan Bisnis Sabda Setia, Pontianak, Kalimantan Barat, Indonesia.
-
Abdul, S. B., & Soundararajan, V. (2022). Perceived Risk and Online Purchase Intention of Online Buying and its Affinity: Perceived Behavioral Control as a Moderator. Orissa Journal of Commerce, 43(3), 41–53. https://doi.org/10.54063/ojc.2022.v43i03.04.
-
Adawiyah, S. R., Purwandari, B., Eitiveni, I., & Purwaningsih, E. H. (2024). The Influence of AI and AR Technology in Personalized Recommendations on Customer Usage Intention: A Case Study of Cosmetic Products on Shopee. Applied Sciences (Switzerland), 14(13). https://doi.org/10.3390/app14135786.
-
-
-
DAM, T. C. (2020). Influence of Brand Trust, Perceived Value on Brand Preference and Purchase Intention. Journal of Asian Finance, Economics and Business, 7(10), 939–947. https://doi.org/10.13106/jafeb.2020.vol7.no10.939.
-
-
Forever, F., & Yutika, F. (2024). Analysis Of Consumer Repurchase Intention On Shopee E-Commerce Using The TAM Approach: Consumer Satisfaction As A Mediator. Jurnal Ekonomi, 13(03), 1232–1241. Retrieved from https://ejournal.seaninstitute.or.id/index.php/Ekonomi/article/view/5073.
-
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312.
-
-
-
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8.
-
Jain, S. (2020). Assessing the moderating effect of subjective norm on luxury purchase intention: a study of Gen Y consumers in India. International Journal of Retail and Distribution Management, 48(5), 517–536. https://doi.org/10.1108/IJRDM-02-2019-0042
-
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001.
-
Komalasari, F., Christianto, A., & Ganiarto, E. (2021). Factors Influencing Purchase Intention in Affecting Purchase Decision: A Study of E-commerce Customer in Greater Jakarta. BISNIS & BIROKRASI: Jurnal Ilmu Administrasi Dan Organisasi, 28(1). https://doi.org/10.20476/jbb.v28i1.1290.
-
Madanchian, M. (2024). The Impact of Artificial Intelligence Marketing on E-Commerce Sales. In Systems (Vol. 12, Issue 10). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/systems12100429.
-
Nguyen, T. T., Thi Thu Truong, H., & Le-Anh, T. (2023). Online Purchase Intention Under the Integration of Theory of Planned Behavior and Technology Acceptance Model. SAGE Open, 13(4). https://doi.org/10.1177/21582440231218814.
-
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. https://doi.org/10.1080/10864415.2003.11044275.
-
Rozenkowska, K. (2023). Theory of planned behavior in consumer behavior research: A systematic literature review. In International Journal of Consumer Studies (Vol. 47, Issue 6, pp. 2670–2700). John Wiley and Sons Inc. https://doi.org/10.1111/ijcs.12970.
-
Shanbhogue, A. V., & Ranjith, V. K. (2023). Effects of Consumer Dispositional Attitude on Purchase Intention in an Emerging Market. F1000Research, 12, 384. https://doi.org/10.12688/f1000research.131103.1.
-
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926.
-
Wang, C., Liu, T., Zhu, Y., Wang, H., Wang, X., & Zhao, S. (2023). The influence of consumer perception on purchase intention: Evidence from cross-border E-commerce platforms. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e21617.
-
Wang, J., Shahzad, F., Ahmad, Z., Abdullah, M., & Hassan, N. M. (2022). Trust and Consumers’ Purchase Intention in a Social Commerce Platform: A Meta-Analytic Approach. SAGE Open, 12(2). https://doi.org/10.1177/21582440221091262.
-
Yin, J., Qiu, X., & Wang, Y. (2025). The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce. Journal of Theoretical and Applied Electronic Commerce Research , 20(1). https://doi.org/10.3390/jtaer20010021.
-
Yuliana, L., Trigani, I., Larasati, N., & Nurjanah, S. (2025). Determination of Brand Trust by Social Media Advertising and Electronic Word of Mouth. Jurnal Ekonomi & Manajemen Universitas Bina Sarana Informatika, 23(2). https://doi.org/10.31294/jp.v17i2.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.