IMPROVING PURCHASING DECISIONS THROUGH TRUST AND ELECTRONIC WORD OF MOUTH AS INTERVENING VARIABLES IN ONLINE SHOPPING

Rahmi Yuliana, M. Hamdani
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Abstract

This research aims to analyze and dig deeper into the concept of purchasing decisions by using trust variables and electronic word of mouth variables as intervening variables. The phenomenon of consumer behavior related to e-commerce will be said to increase with the high growth of internet users, where the total internet users in Indonesia are predicted to reach 72.8 million people, which overall ranks third in the Asean region. The increase in the number of internet technology users has an impact on online shopping behavior among consumers. However, this is inversely proportional to offline retail sales which have experienced a setback, marked by the lack of consumers in shopping centers. This has made the situation of out-of-network retail in Indonesia worse, marked by (1) changes in consumer behavior, (2) reduced employment opportunities (3) Increased number of online stores. The data for this research uses primary data, namely by taking direct samples of respondents who have shopped online at three marketplaces, Tokopedia and Lazada in Indonesia. The data analysis techniques used are descriptive analysis and inferential analysis. Then the data is processed using Smart PLS software to test the hypothesis that there is a significant influence between exogenous variables and endogenous variables. The results of this research will be able to find out how big the influence is.
将信任和电子口碑作为网上购物的干预变量,改善购买决策
本研究旨在利用信任变量和电子口碑变量作为干预变量,分析和深入挖掘购买决策的概念。印尼的互联网用户总数预计将达到 7280 万人,在亚细安地区总体排名第三。互联网技术用户数量的增加会对消费者的网上购物行为产生影响。然而,这与线下零售销售额成反比,线下零售销售额因购物中心缺乏消费者而受挫。这使得印尼网外零售业的形势更加严峻,主要表现在:(1)消费者行为发生变化;(2)就业机会减少;(3)网店数量增加。本研究的数据采用原始数据,即直接抽取曾在印尼的 Tokopedia 和 Lazada 这三个市场进行网购的受访者样本。使用的数据分析技术是描述性分析和推论性分析。然后使用 Smart PLS 软件对数据进行处理,以检验外生变量和内生变量之间是否存在显著影响的假设。本研究的结果将能够找出影响有多大。
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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