为什么人们使用手机订餐应用程序?扩展UTAUT2

I.K. Erdem, K. Çelik
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摘要

随着技术的进步,人们的许多习惯都发生了变化。其中之一就是订餐习惯。过去,人们通过电话或电子邮件等传统方式订餐,而如今,他们可以通过移动订餐应用程序(MFOAs)更快捷、更方便地订餐。随着移动订餐应用程序的使用越来越多,有必要探讨影响个人重复使用这些应用程序的因素。本研究旨在调查影响个人重复使用 MFOAs 意愿的因素。本研究以市场营销理论和技术接受与使用统一理论 2(UTAUT2)模型为基础。除了UTAUT2提出的七个变量外,还在同一模型中加入了与MFOAs特征相关的变量,如在线评论、在线评级和在线订单跟踪等。研究数据来自 2021 年 12 月至 2022 年 3 月期间对 441 名 MFOA 用户进行的调查。收集到的数据使用 R 软件中的结构方程模型进行分析。结果发现,在线评价、努力期望、在线订单跟踪、价格价值、习惯和享乐动机变量对重复使用 MFOA 的意愿有显著的正向影响。研究发现,社会影响、便利条件、绩效预期和在线评论对顾客的再利用意图没有影响。研究结果为了解消费者的偏好和购买意向提供了深入的见解,为多功能泡沫塑料助剂服务提供商争夺更大的市场份额提供了预测。
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Why do people use mobile food ordering apps?: Extended UTAUT2
With the advancement of technology, many habits of people have changed. One of these is the habit of ordering food. While people used to place food orders through traditional means such as phone or email, nowadays, they can do so more quickly and easily through mobile food ordering applications (MFOAs). The increasing use of MFOAs has necessitated the exploration of factors influencing individuals’ intention to reuse these applications. The aim of this study is to investigate the factors influencing individuals’ intention to reuse MFOAs. The study is based on marketing theory and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. In addition to the seven variables proposed by UTAUT2, variables related to the characteristic features of MFOAs, such as online reviews, online ratings, and online order tracking, have been added to the same model. The research data were obtained from surveys conducted with 441 MFOA users between December 2021 and March 2022. The collected data were analyzed using structural equation modeling in the R Software. As a result, it was observed that online ratings, effort expectation, online order tracking, price value, habit, and hedonic motivation variables have a significant and positive impact on the intention to reuse MFOAs. Social influence, facilitating conditions, performance expectation, and online reviews were found to have no effect on customers’ reuse intentions toward MFOAs. The findings of the study provide insights into understanding consumer preferences and purchase intentions, offering a prediction for MFOA service providers competing for a larger market share.
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