Determining the Correlation among the Users' Satisfaction and Familiarity with Malay Entrepreneurs Food Delivery Mobile Applications in Malaysia

Q1 Decision Sciences

Annals of Data Science Pub Date : 2024-09-13 DOI:10.1007/s40745-024-00568-7

Muhamad Redha Iqbal Bin Daud, Norhidayah Abdullah, Lovelyna Benedict Jipiu

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引用次数: 0

Abstract

The rise of mobile technology has significantly transformed numerous aspects of our everyday lives, especially within food delivery services. The investigation aims to explore the food delivery mobile apps (FDMA) satisfaction (SAT) and the influence of familiarity (FAM). Data was gathered from 381 individuals who have experience in using any FDMA services specifically in Shah Alam, Selangor with the aid of online questionnaires. The study findings indicate user satisfaction (US) with FDMA is strongly influenced by the level of familiarity users have with the platform. The research result shows the satisfaction of users with FDMA is strongly linked to how easy they find the platform to use. The research provides a unique contribution by exploring the influence of familiarity on the US with FDMA. Investigating how users' prior experiences and comfort levels impact their satisfaction provides valuable insights for enhancing app design and user experience in the rapidly evolving food delivery industry. The study contributes by elucidating the significant impact of FAM on FDMA satisfaction. This insight aids in refining app design and strategies to enhance user experience. The study suggests optimizing FDMA by prioritizing features that enhance user FAM, ultimately developing higher SAT levels and improving overall user experience. The research findings indicate a notable correlation between the US and the inclination to maintain the usage of FDMA systems.

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确定用户对马来西亚餐饮外卖移动应用的满意度和熟悉度之间的相关性

移动技术的兴起极大地改变了我们日常生活的许多方面，特别是在食品配送服务方面。本调查旨在探讨外卖移动应用（FDMA）满意度（SAT）和熟悉度（FAM）的影响。通过在线问卷调查，从381名有使用任何FDMA服务经验的个人中收集数据，特别是在雪兰莪州沙阿南。研究结果表明，用户对FDMA的满意度（US）受到用户对平台熟悉程度的强烈影响。研究结果表明，用户对FDMA的满意度与他们发现平台使用的容易程度密切相关。该研究通过探索熟悉度对美国FDMA的影响提供了独特的贡献。调查用户之前的体验和舒适度如何影响他们的满意度，为在快速发展的外卖行业中提高应用程序设计和用户体验提供了有价值的见解。本研究有助于阐明FAM对FDMA满意度的显著影响。这种见解有助于改进应用设计和策略，以增强用户体验。该研究建议通过优先考虑增强用户FAM的功能来优化FDMA，最终开发更高的SAT水平并改善整体用户体验。研究结果表明，美国与倾向于维持使用FDMA系统之间存在显著的相关性。

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来源期刊

Annals of Data Science Decision Sciences-Statistics, Probability and Uncertainty

CiteScore

6.50

自引率

0.00%

发文量

期刊介绍： Annals of Data Science (ADS) publishes cutting-edge research findings, experimental results and case studies of data science. Although Data Science is regarded as an interdisciplinary field of using mathematics, statistics, databases, data mining, high-performance computing, knowledge management and virtualization to discover knowledge from Big Data, it should have its own scientific contents, such as axioms, laws and rules, which are fundamentally important for experts in different fields to explore their own interests from Big Data. ADS encourages contributors to address such challenging problems at this exchange platform. At present, how to discover knowledge from heterogeneous data under Big Data environment needs to be addressed. ADS is a series of volumes edited by either the editorial office or guest editors. Guest editors will be responsible for call-for-papers and the review process for high-quality contributions in their volumes.