Online Customer Reviwes as a Marketing Tool to Generate Customer Purchase Intention in Ecommerce

Erwin Ardianto Halim, Gunaputra Wardhana, A. Sasongko
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Abstract

This study influenced the increasing use of e-commerce to buy and sell. Many offline stores today migrate to online stores. Seeing the opportunity to use e-commerce with billions of users enables businesses to expand sales and add customers as the business grows. The impact of a bad reputation and negative offline reviews, makes some sellers experience stagnation and difficulty in selling and even fail in online sales. Because of that, the sellers need to organize their and avoid losing trust. This study uses a Systematic Literature Review (SLR) for writing and modeling. It complements with a purposive sampling method by collecting questionnaire data, as many as 137 data on 22–24 April 2022 in Indonesia's Jabodetabek area. This study discusses the importance of variables in buying and selling in e-commerce for sellers, especially newcomers who have difficulty dealing with this problem, can overcome their problems. Those variables include Seller Attribute, Product Attribute, Customer Review, Customer Trust, and Purchase Intention. This study uses Structural Equation Modeling (SEM) with SmartPLS as a statistical analysis tool. A model approved six from seven hypotheses found to have a significant impact, with one hypothesis insignificant compared with previous research.
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在线客户评论作为电子商务中产生客户购买意愿的营销工具
这项研究影响了越来越多地使用电子商务进行买卖。如今,许多线下商店都迁移到了线上商店。看到利用拥有数十亿用户的电子商务的机会,企业可以随着业务的增长扩大销售并增加客户。糟糕的口碑和负面的线下评价的影响,使得一些卖家在网上销售中遇到停滞和困难,甚至失败。正因为如此,卖家需要组织起来,避免失去信任。本研究采用系统文献回顾法(SLR)进行写作和建模。它补充了一种有目的的抽样方法,通过收集问卷数据,于2022年4月22日至24日在印度尼西亚的Jabodetabek地区收集了多达137个数据。本研究探讨了电子商务中买卖变量对卖家的重要性,特别是新手在处理这个问题上有困难,可以克服他们的问题。这些变量包括卖方属性、产品属性、顾客评价、顾客信任和购买意愿。本研究使用结构方程模型(SEM)与SmartPLS作为统计分析工具。该模型从七个被发现具有重大影响的假设中认可了六个,其中一个假设与之前的研究相比微不足道。
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