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http://dx.doi.org/10.22693/NIAIP.2021.28.4.076

Evaluating the Efficiency of Personal Information Protection Activities in a Private Company: Using Stochastic Frontier Analysis  

Jang, Chul-Ho (Personal Data Strategy Team, Korea Internet & Security Agency)
Cha, Yun-Ho (Personal Data Strategy Team, Korea Internet & Security Agency)
Yang, Hyo-Jin (Personal Data Strategy Team, Korea Internet & Security Agency)
Publication Information
Informatization Policy / v.28, no.4, 2021 , pp. 76-92 More about this Journal
Abstract
The value of personal information is increasing with the digital transformation of the 4th Industrial Revolution. The purpose of this study is to analyze the efficiency of personal information protection efforts of 2,000 private companies. It uses a stochastic frontier approach (SFA), a parametric estimation method that measures the absolute efficiency of protective activities. In particular, the personal information activity index is used as an output variable for efficiency analysis, with the personal information protection budget and number of personnel utilized as input variables. As a result of the analysis, efficiency is found to range from a minimum of 0.466 to a maximum of 0.949, and overall average efficiency is 0.818 (81.8%). The main causes of inefficiency include non-fulfillment of personal information management measures, lack of system for promoting personal information protection education, and non-fulfillment of obligations related to CCTV. Policy support is needed to implement safety measures and perform personal information encryption, especially customized support for small and medium-sized enterprises.
Keywords
personal information manager; personal information protection activity; efficiency; stochastic frontier;
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Times Cited By KSCI : 2  (Citation Analysis)
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