Modelling m-Commerce Adoption among Generation Z in the Pandemic Context

IF 1.4 4区经济学 Q3 ECONOMICS

Economic Computation and Economic Cybernetics Studies and Research Pub Date : 2023-03-23 DOI:10.24818/18423264/57.1.23.12

Stancu Alin, Filip Alina, Dumitru Ionel, Alniacik Umit, Ionescu FLORIN TUDOR, Mogos Oana, Canda Andrei

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引用次数: 0

Abstract

The development of online technologies and mobile apps have transformed the ways in which consumers buy and/or sell. Recently, the coronavirus pandemic has increased the usage of e-commerce and m-commerce around the world. Therefore, this study aims to investigate what drives mobile shopping apps adoption by generation Z during the pandemic. Drawing on the Technology Acceptance Model (TAM), this quantitative research shows that fear of COVID-19 exerted a positive effect on perceived usefulness of mobile apps. Furthermore, the perceived safety of mobile apps has a positive effect on perceived usefulness and perceived ease of use. Perceived usefulness has a direct influence on the intention to use mobile apps, and both a fear of COVID-19 and perceived safety have strong indirect effects on the intention to use an app. It can be argued that the research results are relevant from both theoretical and practical perspectives taking into consideration the development of m-commerce in the context of the COVID-19 pandemic. © 2023, Bucharest University of Economic Studies. All rights reserved.

查看原文本刊更多论文

流行病背景下Z世代移动商务应用建模

在线技术和移动应用程序的发展改变了消费者购买和/或销售的方式。最近，冠状病毒大流行增加了世界各地电子商务和移动商务的使用。因此，本研究旨在调查是什么推动Z世代在疫情期间采用移动购物应用程序。根据技术接受模型（TAM），这项定量研究表明，对新冠肺炎的恐惧对移动应用的有用性产生了积极影响。此外，移动应用程序的感知安全性对感知有用性和感知易用性有积极影响。感知有用性对使用移动应用程序的意图有直接影响，对新冠肺炎的恐惧和感知安全性都对使用应用程序的意愿有强烈的间接影响。可以说，考虑到新冠肺炎大流行背景下移动商务的发展，研究结果从理论和实践角度都是相关的。©2023，布加勒斯特经济研究大学。保留所有权利。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Economic Computation and Economic Cybernetics Studies and Research MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-

CiteScore

1.80

自引率

22.20%

发文量

审稿时长

>12 weeks

期刊介绍： ECECSR is a refereed journal dedicated to publication of original articles in the fields of economic mathematical modeling, operations research, microeconomics, macroeconomics, mathematical programming, statistical analysis, game theory, artificial intelligence, and other topics from theoretical development to research on applied economic problems. Published by the Academy of Economic Studies in Bucharest, it is the leading journal in the field of economic modeling from Romania.