Leveraging Smart Technology for User Experience Personalization – A Comparative Case Study of Innovative Payment Systems

Author:

Shang Shari S.C., ,Chiu Lynn S. L.,

Abstract

Background: This study seeks to understand how the attributes of smart technology (SMT) can be leveraged to enable personalized services and optimize unique user experiences to attract and retain customers. Based on Kang et al.’s (2020) study of SMT attributes and quality effects and Liang et al.’s (2006) study on personalized recommendation and user satisfaction, we constructed a SMT personalization model to analyze how the SMT attributes of smart functionality and smart content enable personalization in different ways and create unique customer experiences throughout the user journey. Method: Two representative payment systems were selected to depict how they integrated the strengths of personalized smart functionalities and contents to innovate their business models, optimize user experiences, and sustain business growth. Results: Based on the comparative analysis of the two payment cases, the functionality and content attributes of smart chips and omni-channel platforms were explored, and the tailored advisory and responsive support for customers both offline and online were validated. Conclusion: The life-enriching service innovations provide valuable insights for leveraging SMT for personalization. It is hoped that the SMT personalization model can be extended to other types of SMT applications and can be used as a framework for designing innovative services. Recommended Citation Shang, Shari S.C. and Chiu, Lynn S. L. (2022) "Leveraging Smart Technology for User Experience Personalization – A Comparative Case Study of Innovative Payment Systems," Pacific Asia Journal of the Association for Information Systems: Vol. 14: Iss. 1, Article 6. DOI: 10.17705/1pais.14106 Available at: https://aisel.aisnet.org/pajais/vol14/iss1/6

Publisher

Association for Information Systems

Subject

Information Systems and Management,Computer Science Applications,Human-Computer Interaction,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