Understanding consumers’ purchase intention towards online paid courses

Author:

Chen Yuan1ORCID,Ding Donghong1,Meng Lidong1,Li Xiaodong23,Zhang Shengliang1

Affiliation:

1. University of Science and Technology of China

2. Anhui Polytechnic University

3. Shanghai Jiao Tong University

Abstract

With the unprecedented development of information and communication technologies, online learning is increasingly seen as an important channel for knowledge acquisition. Although knowledge payment platforms have attracted a considerable number of consumers, little is known about the determinants of purchase intention of online learning consumers for online paid courses (OPCs). In this study, we identify the mechanism underlying online learning consumers’ purchase intentions towards online paid courses (OPCs) based on outcome expectation and trust. We further examine the antecedents of performance expectation and trust from a learning-oriented perspective. Results indicate that trust and performance expectation play positive roles in consumer purchase intention. Moreover, perceived lecturer expertise, prior learning experience, and personal trial experience are positively associated with trust and performance expectation, which in turn influence purchase intention towards OPCs. The data were collected using a questionnaire survey of 443 users of knowledge payment platforms, and the proposed model was analysed through structural equation modelling. This study enhances the theoretical understanding of why consumers purchase OPCs in the knowledge payment context. For information system practice, these findings provide new insights for managers on how to conduct knowledge product transactions effectively.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Library and Information Sciences

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3