顾客网上购物满意度:自我决定理论的实证验证

Urvashi Tandon, Myriam Ertz
{"title":"顾客网上购物满意度:自我决定理论的实证验证","authors":"Urvashi Tandon, Myriam Ertz","doi":"10.4018/978-1-7998-7545-1.ch008","DOIUrl":null,"url":null,"abstract":"The chapter aims at understanding the predictors of customer satisfaction with online shopping in India by using self-determination theory. This research validates perceived enjoyment, social influence, social media interactions, reverse logistics, and pay-on-delivery (POD) mode of payment as new predictors of customer satisfaction in online shopping. Data was collected through a self-administered and structured questionnaire targeting online shoppers in North Indian states. A sample of 424 online shoppers was considered in this research. Structural equation modelling (SEM) was used to evaluate the constructs. CFA was applied to calculate validity and composite reliability. To examine the hypothesized relationships, path analysis was carried out. The findings of the chapter revealed that social influence, reverse logistics, and POD mode of payment had a significant positive impact on customer satisfaction. Perceived enjoyment emerged as the strongest predictor of online shopping satisfaction. In contrast, social media interactions emerged as non-significant.","PeriodicalId":332860,"journal":{"name":"Handbook of Research on the Platform Economy and the Evolution of E-Commerce","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Customer Satisfaction Towards Online Shopping by Empirical Validation of Self-Determination Theory\",\"authors\":\"Urvashi Tandon, Myriam Ertz\",\"doi\":\"10.4018/978-1-7998-7545-1.ch008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The chapter aims at understanding the predictors of customer satisfaction with online shopping in India by using self-determination theory. This research validates perceived enjoyment, social influence, social media interactions, reverse logistics, and pay-on-delivery (POD) mode of payment as new predictors of customer satisfaction in online shopping. Data was collected through a self-administered and structured questionnaire targeting online shoppers in North Indian states. A sample of 424 online shoppers was considered in this research. Structural equation modelling (SEM) was used to evaluate the constructs. CFA was applied to calculate validity and composite reliability. To examine the hypothesized relationships, path analysis was carried out. The findings of the chapter revealed that social influence, reverse logistics, and POD mode of payment had a significant positive impact on customer satisfaction. Perceived enjoyment emerged as the strongest predictor of online shopping satisfaction. In contrast, social media interactions emerged as non-significant.\",\"PeriodicalId\":332860,\"journal\":{\"name\":\"Handbook of Research on the Platform Economy and the Evolution of E-Commerce\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Handbook of Research on the Platform Economy and the Evolution of E-Commerce\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-7998-7545-1.ch008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook of Research on the Platform Economy and the Evolution of E-Commerce","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-7998-7545-1.ch008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

本章旨在通过使用自决理论了解印度网上购物客户满意度的预测因素。本研究验证了感知享受、社会影响力、社交媒体互动、逆向物流和货到付款(POD)支付模式作为在线购物客户满意度的新预测因素。数据是通过针对印度北部各邦在线购物者的自我管理和结构化问卷收集的。这项研究考虑了424名在线购物者的样本。采用结构方程模型(SEM)对结构进行评价。采用CFA计算效度和复合信度。为了检验假设的关系,进行了通径分析。本章的研究结果显示,社会影响力、逆向物流、按需支付方式对顾客满意度有显著的正向影响。感知到的享受成为在线购物满意度的最强预测指标。相比之下,社交媒体互动显得不那么重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Customer Satisfaction Towards Online Shopping by Empirical Validation of Self-Determination Theory
The chapter aims at understanding the predictors of customer satisfaction with online shopping in India by using self-determination theory. This research validates perceived enjoyment, social influence, social media interactions, reverse logistics, and pay-on-delivery (POD) mode of payment as new predictors of customer satisfaction in online shopping. Data was collected through a self-administered and structured questionnaire targeting online shoppers in North Indian states. A sample of 424 online shoppers was considered in this research. Structural equation modelling (SEM) was used to evaluate the constructs. CFA was applied to calculate validity and composite reliability. To examine the hypothesized relationships, path analysis was carried out. The findings of the chapter revealed that social influence, reverse logistics, and POD mode of payment had a significant positive impact on customer satisfaction. Perceived enjoyment emerged as the strongest predictor of online shopping satisfaction. In contrast, social media interactions emerged as non-significant.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信