ARTIFICIAL INTELLIGENCE DAN TRANSFORMASI PERILAKU KONSUMEN : ANALISIS MEDIASI KEPUTUSAN PEMBELIAN
DOI:
https://doi.org/10.64958/jto.v3i1.157Keywords:
Artificial Intelligence, konsumen, pelanggan, belanjaAbstract
Artificial Intelligence (AI) adalah teknologi relatif baru yang memiliki aplikasi yang sangat luas di berbagai bidang. Kemunculan AI dan ketersediaannya yang semakin luas bagi manusia menjadi landasan perubahan signifikan dalam perilaku konsumen, terutama dalam keputusan berbelanja. AI mampu mengenali perintah manusia dan menggunakan algoritma untuk menginterpretasikan data dengan cara yang serupa dengan cara pikiran manusia beroperasi. Kemajuan dalam teknologi komputer dan Artificial Intelligence erat kaitannya dengan kemajuan dalam ekonomi dan masyarakat. Penting untuk memahami mekanisme dan faktor yang memengaruhi kesediaan dan motivasi konsumen untuk menggunakan AI sebagai panduan dalam memenuhi kebutuhan belanja. Penelitian ini bertujuan mengetahui keterkaitan antara AI dengan perilaku pembelian yang dimediasi oleh keputusan pembelian. Penelitian ini menggunakan metode studi literatur, dengan menggunakan 48 artikel penelitian sebagai bahan kajian. Berdasarkan konsep penelitian, peneliti menyimpulkan bahwa Artificial Intelligence memengaruhi keputusan pembelian, dan perilaku pembelian dipengaruhi oleh keputusan pembelian. Dalam hal ini AI dapat mendorong motivasi konsumen untuk dalam berbelanja.
References
Ahmad, S. F., Alam, M. M., Rahmat, M. K., Mubarik, M. S., & Hyder, S. I. (2022). Academic and Administrative Role of Artificial Intelligence in Education. In Sustainability (Switzerland) (Vol. 14, Issue 3). MDPI. https://doi.org/10.3390/su14031101
Ahmad, S. F., Rahmat, M. K., Mubarik, M. S., Alam, M. M., & Hyder, S. I. (2021). Artificial intelligence and its role in education. Sustainability (Switzerland), 13(22). https://doi.org/10.3390/su132212902
Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behavior, 114, 106548. https://doi.org/10.1016/J.CHB.2020.106548
Cao, L. (2021). Artificial intelligence in retail: applications and value creation logics. International Journal of Retail & Distribution Management, 49(7), 958–976. https://doi.org/10.1108/IJRDM-09-2020-0350
Choi, Y. (2023). A Study of Customer Acceptance of Artificial Intelligence Technology. International Journal of E-Business Research, 19(1). https://doi.org/10.4018/IJEBR.323796
Chopra, K. (2019). Indian shopper motivation to use artificial intelligence. International Journal of Retail & Distribution Management, 47(3), 331–347. https://doi.org/10.1108/IJRDM-11-2018-0251
Cuesta-Valiño, P., Kazakov, S., Durán-Álamo, P., & Gutiérrez-Rodríguez, P. (2025). The role of AI as an unconventional salesperson in consumer buying decisions, satisfaction and happiness. European Research on Management and Business Economics, 31(2). https://doi.org/10.1016/j.iedeen.2025.100278
Durmaz, Y., & Yusuf Kilic, Y. (2023). A Theoretical Approach to Artificial Intelligence in Consumer Behavior. International Business & Economics Studies, 5(2), p52. https://doi.org/10.22158/ibes.v5n2p52
Ersoy, A. (2024). Artificial Intelligence Applications Used in On-line Retail in China and Their Relationship to Customer Satisfaction and Loyalty. International Journal of Business and Applied Social Science, 8–17. https://doi.org/10.33642/ijbass.v10n3p2
Helmy Mohamad, A., Farouk Hassan, G., & S. Abd Elrahman, A. (2022). Impacts of e-commerce on planning and designing commercial activities centers: A developed approach. Ain Shams Engineering Journal, 13(4), 101634. https://doi.org/https://doi.org/10.1016/j.asej.2021.11.003
Im, E., Tung, P., Oh, M., Lee, J., & Gim, S. (2021). A Study on the Extraction of Customer Satisfaction Factors Based on the Customer Satisfaction Model Using Text Review and Preview. 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter). https://doi.org/10.1109/SNPDWinter52325.2021.00077
Jangra, G., & Jangra, M. (2022). Role of Artificial Intelligence in Online Shopping and its Impact on Consumer purchasing behaviour and Decision. 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA), 1–7. https://doi.org/10.1109/ICCSEA54677.2022.9936374
Khan, S., & Iqbal, M. (2020). AI-Powered Customer Service: Does it Optimize Customer Experience? 2020 8th International Conference on Reliability, Infocom Technologies and Li, C., Pan, R., Xin, H., & Deng, Z. (2020). Research on Artificial Intelligence Customer Service on Consumer Attitude and Its Impact during Online Shopping. Journal of Physics: Conference Series, 1575(1). https://doi.org/10.1088/1742-6596/1575/1/012192
Lu, Z., Li, P., Wang, W., & Yin, M. (2022). The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2). https://doi.org/10.1145/3555562
Martin, Kelly D, Borah, Abhishek, & Palmatier, Robert W. (2017). Data Privacy: Effects on Customer and Firm Performance. Journal of Marketing, 81(1), 36–58. https://doi.org/10.1509/jm.15.0497
Méndez-Suárez, M., Monfort, A., & Hervas-Oliver, J. L. (2023). Are you adopting artificial intelligence products? Social-demographic factors to explain customer acceptance. European Research on Management and Business Economics, 29(3), 100223. https://doi.org/10.1016/J.IEDEEN.2023.100223
Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.2307/3150499
P Suresh, T., Lee Yong, P., Shwu Chyi, Y., & Musa, R. (2023). Connecting with Generation Z: Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping. Journal of Entrepreneurship and Business, 11(1), 56–68. https://doi.org/10.17687/jeb.v11i1.921
Qin, M., Zhu, W., Zhao, S., & Zhao, Y. (2022). Is Artificial Intelligence Better than Manpower? The Effects of Different Types of Online Customer Services on Customer Purchase Intentions. Sustainability (Switzerland), 14(7). https://doi.org/10.3390/su14073974
Ran, D., Yingli, W., & Haoxin, Q. (2020). Artificial intelligence speech recognition model for correcting spoken English teaching. Journal of Intelligent & Fuzzy Systems, 40, 1–12. https://doi.org/10.3233/JIFS-189388
Shin, D. (2021). The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI. International Journal of Human-Computer Studies, 146, 102551. https://doi.org/10.1016/J.IJHCS.2020.102551
Torkayesh, A. E., Tirkolaee, E. B., Bahrini, A., Pamuar, D., & Khakbaz, A. (2023). A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity. Informatica, 34, 415–448. https://api.semanticscholar.org/CorpusID:257274475
Vasiljeva, T., Shaikhulina, S., & Kreslins, K. (2017). Cloud Computing: Business Perspectives, Benefits and Challenges for Small and Medium Enterprises (Case of Latvia). Procedia Engineering, 178, 443–451. https://doi.org/https://doi.org/10.1016/j.proeng.2017.01.087
Zhou, B. (2018). Transforming Retailing Experiences with Artificial Intelligence. Proceedings of the 26th ACM International Conference on Multimedia, 1919–1920. https://doi.org/10.1145/3240508.3267341
Zimmermann, R., Mora, D., Cirqueira, D., Helfert, M., Bezbradica, M., Werth, D., Jonas Weitzl, W., Riedl, R., & Auinger, A. (2023). Enhancing brick-and-mortar store shopping experience with an augmented reality shopping assistant application using personalized recommendations and explainable artificial intelligence Enhancing brick-and-mortar shopping experience 273. Journal of Research in Interactive Marketing, 17(2), 2040–7122. https://doi.org/10.5281/zenodo.4723468

