A Bibliographic Analysis of Research Trends on Privacy in Technology Adoption: Information Synthesis Perspective

This study is to explore information synthesis on research topics and emerging trends in privacy within the context of technology adoption. A search for the terms privacy and technology adoption in the Web of Science database yielded information on 2910 publications from 2005 to 2025. The analysis was conducted using CiteSpace, incorporating cluster analysis, timeline analysis, and burst detection to identify key patterns and developments. Fifteen sub-areas of privacy related to technology adoption were identified, including health information exchange, blockchain adoption, artificial intelligence, Internet banking, smart home devices, location-based services, mobile commerce, ubiquitous commerce adoption, tracing apps, metaverse adoption, and facial recognition payment. Timeline analysis provided insights into the growth or decline of these research clusters over time. Based on the findings, a framework was developed to illustrate key insights and their interconnections, offering guidance for future research. The study concludes by discussing its implications, limitations, and recommendations for further research.

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Information
Published
2025-11-25
DOI
https://doi.org/10.3390/info16121027
Primary Topic
Privacy, Security, and Data Protection
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article
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article

A Bibliographic Analysis of Research Trends on Privacy in Technology Adoption: Information Synthesis Perspective

Sung Hee Jang, Chang Won Lee
Information
Privacy, Security, and Data Protection
article

A Bibliographic Analysis of Research Trends on Privacy in Technology Adoption: Information Synthesis Perspective

Sung Hee Jang, Chang Won Lee
article en

Abstract

This study is to explore information synthesis on research topics and emerging trends in privacy within the context of technology adoption. A search for the terms privacy and technology adoption in the Web of Science database yielded information on 2910 publications from 2005 to 2025. The analysis was conducted using CiteSpace, incorporating cluster analysis, timeline analysis, and burst detection to identify key patterns and developments. Fifteen sub-areas of privacy related to technology adoption were identified, including health information exchange, blockchain adoption, artificial intelligence, Internet banking, smart home devices, location-based services, mobile commerce, ubiquitous commerce adoption, tracing apps, metaverse adoption, and facial recognition payment. Timeline analysis provided insights into the growth or decline of these research clusters over time. Based on the findings, a framework was developed to illustrate key insights and their interconnections, offering guidance for future research. The study concludes by discussing its implications, limitations, and recommendations for further research.

InformationVol. 16(12)
Kyungpook National University (KR), Hanyang University (KR)
Openalex Percentile: Top 54%
Privacy, Security, and Data Protection
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