Jannah, Nur Aini Raudhatul
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Utilizing Artificial Intelligence (AI) in Customer’s Purchase Intentions on GrabFood Ravi, Thevisri; Yusof, Rosmelisa; Koay, Loke Kean; Teoh, Yee Teng; Thin, Mun Yee; Donold, Tiffany Audrey Anak; Jannah, Nur Aini Raudhatul; Mittal, Prachi; Srivastava, Rishabh; Kee, Daisy Mui Hung
International Journal of Tourism and Hospitality in Asia Pasific Vol 7, No 2 (2024): June 2024
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/ijthap.v7i2.3212

Abstract

Generally, food delivery is a courier service that transfers consumer needs from stores or restaurants to the customer’s doorstep. With the advent of artificial intelligence, people now could order meals and other goods from the convenience of their homes. As such, Grab Holdings, which was founded in 2012 as a taxi-hailing service, is now well-known for providing consumer services including rides (Grab Transport), food deliveries (GrabFood), and package deliveries (Grab Express). The primary purpose of this research is to study on how the artificial intelligence that was utilized in customer’s purchase intentions on Grab Food.  The independent variables used to measure this study are instant delivery of foods, estimation of delivery time, customized recommendation on food, interactivity, cashless payment method used and consumer behavior corresponding to the dependent variable of consumer’s intention to use GrabFood. To support the findings of the research, an online survey has been carried out to gather the data needed. This survey was targeted on 100 Malaysian, Indonesian and Indian respondents, from all age groups, ethnicity, and gender. Following, the data gathered were verified using the SPSS software. Based on the study, the result shows that there is a significant correlation between the independent and dependent variables. In addition, instant delivery of foods and customized recommendations on food has a major influence on consumers’ purchase intention on GrabFood Delivery.
The Effect of the Quality of Shopee's Cash on Delivery (COD) Service on Net Benefits with User Satisfaction as an Intervening Variable (A Case Study of Shopee E-Commerce Sellers) Jannah, Nur Aini Raudhatul; Lutfi Harris
Reviu Akuntansi, Keuangan, dan Sistem Informasi Vol. 4 No. 3 (2025): REAKSI
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/reaksi.2025.4.3.437

Abstract

This study aims to analyze and explain 1) the effect of cash on delivery (COD) service quality on user satisfaction, (2) the effect of user satisfaction on net benefits, (3) the effect of COD service quality on net benefits, and (4) the effect of “COD cek dulu” service quality on net benefits with user satisfaction as an intervening variable. The study employs a quantitative explanatory approach, using a purposively selected sample of 115 respondents and data collected via a survey distributed via Google Forms. The data are analyzed using the Structural Equation Model (SEM) in SmartPLS 4.1. The results exhibit that (1) COD service quality affects user satisfaction, (2) user satisfaction affects net benefits, (3) COD service quality does not affect net benefits, and (4) “COD cek dulu” service quality affects net benefits with user satisfaction as an intervening variable.