Attitudes in Korea toward Introducing Smart Policing Technologies: Differences between the General Public and Police Officers

HyungBin Moon, Hyunhong Choi (), Jongsu Lee () and Ki Soo Lee
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HyungBin Moon: Technology Management, Economics, and Policy Program, College of Engineering, Seoul National University, 1 Gwanakro, Sillim-dong, Kwnank-gu, Seoul 08826, Korea
Ki Soo Lee: Department of Marine Police, Chonnam National University, 50 Daehak-ro, Yeosu, Jeonnam 59626, Korea

Sustainability, 2017, vol. 9, issue 10, 1-17

Abstract: This study analyzes different attitudes toward introduction of smart policing technologies in cybercrime policing among the Korean public and police. Policing is essential for a sustainable community. Technological advances in policing have both positive and negative aspects, making it essential to investigate perceptions of both public and police when introducing smart policing technologies. A discrete choice experiment was undertaken to survey preferences of the public and police toward introduction of such technologies and conduct simulation analysis to compare changes in the acceptance of various scenarios. The study divides cybercrime policing into prevention and investigation. The sample included 500 members of the public and 161 police officers. The results show that the public thinks an increase in yearly taxes and invasion of privacy are the most important factors. Conversely, the police think factors enhancing the efficiency of policing are most important. Moreover, when smart policing technologies are introduced, the public and police perceive more utility in the prevention and investigation of cybercrime, respectively. Few studies in this field separate the prevention and investigation of crimes, or compare perceptions of the public and police toward the introduction of smart policing technologies. This study’s quantitative analysis provides insights lacking in previous literature.

Keywords: smart policing; discrete choice model; mixed logit model; willingness to pay (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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