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All Journal Jurnal Bisnis Mahasiswa Jurnal Ilmu Sosial, Humaniora dan Seni
Wahab, Muhammad Abdul
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Arts Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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How Does Artificial Intelligent Impact the Likelihood of Repurchase Intention? Adrian, Muhammad Arman Revo; Wahab, Muhammad Abdul; Wanda Novita
Jurnal Bisnis Mahasiswa Vol 5 No 1 (2025): Jurnal Bisnis Mahasiswa
Publisher : PT Aksara Indo Rajawali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60036/jbm.v5i1.347

Abstract

This study explores the impact of AI-driven product recommendations and chatbot quality on consumer repurchase intention on the Shopee platform, with consumer consideration as a mediating factor. Data were collected through a questionnaire distributed on social media, targeting Shopee users who had previously made purchases. A total of 155 respondents were selected via purposive sampling, and the data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) in SmartPLS 3.0. The results show that AI-based product recommendations do not significantly influence consumer consideration or repurchase intention (p = 0.191 and p = 0.974). In contrast, chatbot quality significantly impacts both consumer consideration (p = 0.000) and repurchase intention (p = 0.004). Additionally, consumer consideration mediates the relationship between chatbot quality and repurchase intention (p = 0.000). These findings suggest that while AI product recommendations are ineffective in driving repeat purchases, high-quality chatbots play a crucial role in enhancing consumer engagement and loyalty. The study provides insights into the effectiveness of AI in e-commerce marketing and emphasizes the importance of chatbot quality in fostering consumer satisfaction and repurchase intention.
Potret Ragam Bahasa Lisan Di Pasar Citra Niaga Samarinda, Kalimantan Timur Wahab, Muhammad Abdul; Zahra, Aghist Muflihah
Jurnal Ilmu Sosial, Humaniora dan Seni Vol. 1 No. 1 (2022): Juli - Agustus
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.991 KB) | DOI: 10.62379/jishs.v1i1.264

Abstract

Each community has its own pattern of communication. These patterns can eventually form a variety of languages. Handayani (2019: 5) states that various languages are variations of language that can be distinguished according to usage, topics discussed, the relationship between the speaker, the person he is talking to, the person being talked about, and the medium of the speaker. This study aims to find out the portrait of the interaction of various spoken languages in the Citra Niaga Samarinda market area, East Borneo, amidst the strong flow of modernity. This research belongs to the type of field research in which researchers obtain direct data from the Citra Niaga Samarinda market area for further review. Data collection was carried out by observation and documentation techniques. The recorded data was transcribed into written form and then sorted according to categorization. Furthermore, the data was analyzed using the matching method. The results of this study were in the form of data on the variety of languages which were qualified based on age, context, and the tendency to use regional languages. There are three kinds of languages found in the Citra Niaga Samarinda area, including Indonesian, Javanese, and Banjarese. Based on the number of speakers, Indonesian is the most common language, followed by Javanese, then Banjar. The use of code switching from local languages to Indonesian by speakers proves that Indonesian is accepted by the people in the Citra Niaga area.
Co-Authors Adrian, Muhammad Arman Revo Wanda Novita Zahra, Aghist Muflihah