Satisfaction to Stay, Regret to Switch: Understanding Post-adoption Regret in Choosing Competing Technologies When Herding

Author:

Zou Haiyun (Melody)1ORCID,Sun Heshan2ORCID,Fang Yulin3ORCID

Affiliation:

1. Warwick Business School, University of Warwick, Coventry CV4 7AL, United Kingdom;

2. Department of Management Information Systems, Price College of Business, The University of Oklahoma, Norman, Oklahoma 73019;

3. Faculty of Business and Economics, HKU Business School, The University of Hong Kong, Hong Kong

Abstract

Facing hundreds of similar alternatives in any technology adoption decision, users commonly take a shortcut in the decision making: following others in the herd! Although herding is found to be an influential force for technology adoption, this research sheds light on its distal on user staying power in post-adoption evaluations. Supplementing the dominant perspective that users will stay with the chosen technology when satisfactory with the technology performance, this research proposes a new regret perspective to account for users’ concerns about the competing technologies and the decision process in the technology adoption decision. A research model is accordingly constructed and tested in two longitudinal field studies on user adoption and post-adoption evaluations across competing technologies in both forms of free software and paid hardware, with samples collected in Asia and Europe. Based on the findings and insights, this research suggests to IT vendors on how to retain users in the new era with competing technologies by understanding how post-adoption regret, the predominant factor of user switching, is formed and how it can be lessened.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems,Management Information Systems

Cited by 7 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