Pemanfaatan Teknologi Artificial Intelligence Dalam Memasarkan Produk Secara Digital dan Dampaknya Terhadap Customer Repurchase Intention pada Shopee
DOI:
https://doi.org/10.29408/jpek.v8i2.26724Keywords:
Chatbot Quality; Consumer Consideration; Product Recommendation; Repurchase IntentionAbstract
Research exploring the impact of artificial intelligence (AI) technology in marketing products via e-commerce on consumer repurchase decisions remains limited. Therefore, this study aims to investigate the influence of AI-based product recommendations and chatbot quality on Shopee on consumer repurchase intention, mediated by consumer consideration. This study adopts an explanatory research approach. Data will be collected using a questionnaire created with Google Forms and distributed through social media to consumers who have made purchases on Shopee. Purposive sampling was employed, yielding 155 respondents. Analysis will be conducted using SmartPls3.0 and the partial least squares structural equation model (PLS-SEM). Findings indicate that chatbot quality in AI significantly impacts consumer consideration and repurchase intention, whereas product recommendations in AI do not. Additionally, consumer consideration mediates the relationship between chatbot quality and repurchase intention.
References
Amoako, G. K., Doe, J. K., & Neequaye, E. K. (2023). Online innovation and repurchase intentions in hotels: the mediating effect of customer experience. International Hospitality Review, 37(1), 28–47.
Antonio, R., Tyandra, N., Nusantara, L. T., & Gunawan, A. A. S. (2022). Study Literature Review: Discovering the Effect of Chatbot Implementation in E-commerce Customer Service System Towards Customer Satisfaction. In 2022 International Seminar on Application for Technology of Information and Communication (ISemantic), 296–301.
Ashiq, R., & Hussain, A. (2024). Exploring the effects of e-service quality and e-trust on consumers’e-satisfaction and e-loyalty: insights from online shoppers in Pakistan. Journal of Electronic Business & Digital Economics, 3(2), 117–141.
Beyari, H., & Garamoun, H. (2022). The effect of artificial intelligence on end-user online purchasing decisions: Toward an integrated conceptual framework. Sustainability, 14(15), 9637.
Cepeda-Carrión, G., Hair, J. F., Ringle, C. M., Roldán, J. L., & García-Fernández, J. (2022). Guest editorial: Sports management research using partial least squares structural equation modeling (PLS-SEM). International Journal of Sports Marketing and Sponsorship, 23(2), 229–240. https://doi.org/10.1108/IJSMS-05-2022-242
Chen, Q., Gong, Y., Lu, Y., & Tang, J. (2022). Classifying and measuring the service quality of AI chatbot in frontline service. Journal of Business Research, 145, 552-568.
Chen, Q., Lu, Y., Gong, Y., & Xiong, J. (2023). Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty. Internet Research, 33(6), 2205–2243.
Ellitan, L., & Suhartatik, A. (2023). Increasing Repurchase Intention through Product Quality, Service Quality, and Customer Satisfaction.
Fared, M. A., Darmawan, D., & Khairi, M. (2021). Contribution of E-Service Quality to Repurchase Intention with Mediation of Customer Satisfaction: Study of Online Shopping Through Marketplace. Journal of Marketing and Business Research (MARK), 1(2), 93–106.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error. Algebra and statistics.
Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121.
Hassan, A. (2021). The usage of artificial intelligence in digital marketing: A review. Applications of Artificial Intelligence in Business. Education and Healthcare, 357-383.
Mariani, M. M., Hashemi, N., & Wirtz, J. (2023). Artificial intelligence empowered conversational agents: A systematic literature review and research agenda. Journal of Business Research, 161, 113838.
Presti, L., Maggiore, G., & Marino, V. (2021). The role of the chatbot on customer purchase intention: towards digital relational sales. Italian Journal of Marketing, 2021(3), 165–188.
Rakhra, M., Gopinadh, G., Addepalli, N. S., Singh, G., Aliraja, S., Reddy, V. S. G., & Reddy, M. N. (2021). E-commerce assistance with a smart chatbot using artificial intelligence. In 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM), 144–148.
Sharma, J., Sharma, K., Garg, K., & Sharma, A. K. (2021). Product recommendation system a comprehensive review. In IOP Conference Series: Materials Science and Engineering, 1022(1), 012021.
Soares, A. M., Camacho, C., & Elmashhara, M. G. (2022). Understanding the impact of chatbots on purchase intention. In World Conference on Information Systems and Technologies, 462–472.
Srivastava, A. (2021). The Application & Impact of Artificial Intelligence (AI) on E-Commerce. Contemporary Issues in Commerce & Management, 1(1), 165-175.
Sugiyono. (2014). Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Yun, J., & Park, J. (2022). The effects of chatbot service recovery with emotion words on customer satisfaction, repurchase intention, and positive word-of-mouth. Frontiers in Psychology, 13, 922503.
Zhang, Q., Lu, J., & Jin, Y. (2021). Artificial intelligence in recommender systems. Complex & Intelligent Systems, 7(1), 439–457.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Ratnawati Lang, Fry Melda Saragih, Alif Hanoky
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
semua jurnal ini menjadi tanggung jawab penuh penulis, JPEK memberikan akses terbuka kepada siapapun agar informasi dan temuan pada artikel bermanfaat bagi semua orang, JPEK dapat diakses dan diunduh oleh siapapun tanpa dipungut biaya sesuai dengan lisensi creative common yang digunakan.