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Evaluating Police Administration Performance Using TOPSIS

Received: 24 December 2016     Published: 30 December 2016
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Abstract

Compared to government workloads which are often irregular, police work contains many aspects, each of which is held to specific performance standards. Past literature has investigated individual cases and made selective comparisons, yet is lacking in overall work analyses. Police authorities must be able to assess the work performances of each police station to ensure the balance of investments and returns while also investigating overall work performance, rather than solely looking at individual cases. This study used objective analysis to evaluate the 2014 work performances of Kaohsiung City Police Department police stations (Taiwan) in 00 Precinct in order to determine the quality of work performance so that the heads of each unit can improve any insufficiencies in accordance with objectives and improve the competitiveness of police work. As such, the Delphi Technique was used to calculate the weight for several key indicators for 00 Precinct; then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to arrange these indicators according to 00 Precinct police station work performance ratings. Nine police stations (A1-A9) and seven indicators (number of police officers, population in area of jurisdiction, total number of criminal cases, number of solved cases, number of traffic accidents, number of traffic tickets issued, and number of cases accepted via 110) were included in this study to assess the work performances of each station. The number of police officers was divided by the population in area of jurisdiction to obtain a police-to-population ratio for a total of six C values. The results indicated that among the nine police stations, A1 had the highest administrative performance in 00 Precinct; its Ci value of 55.95% showed that this police station had the best work performance.

Published in Science Innovation (Volume 4, Issue 6)
DOI 10.11648/j.si.20160406.19
Page(s) 296-302
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Police-to-Population Ratio, Performance Evaluation, Delphi Technique, TOPSIS

References
[1] Tien-Chin Wang and Jo-Chien Hsu. “Evaluation of the Business Operation Performance of the Listing Companies by Applying TOPSIS Method.” International Conference on Systems, Man and Cybernetics (IEEE SMC 2004). Oct 10-13, 2004 The Hague, The Netherlands.2 (2004): 1286-1291.
[2] Webb Natalie and Angelis Diane. “Improving Performance Measurement in Defense Organizations.” Armed Forces Comptroller. 54 Issue 1, (2009): 16-21.
[3] Minder, Stephen W.; Leinicke, Linda M.; Rexroad, W. Max. “What Do You Measure?” Internal Auditor. 71, Issue 2 (2014): 63-67.
[4] Tien-Chin Wang and Hsien-Da Lee. “Developing a Fuzzy TOPSIS Approach Based on Subjective Weights and Objective Weights.” Expert Systems with Applications. 36 (2009): 8980-8985.
[5] Boghossian, Peter; Myers, Paula; Kilmer, Gary. “The Delphi Technique: Correctional Administration and Community Consensus.” Corrections Today. 72, Issue 4 (2010): 71-73.
[6] Tien-Chin Wang, Jui-Fang Chang, Truong Ngoc Anh and Wan-Tseng Chang. “Applying TOPSIS Method to Evaluate the Business Operation Performance of Vietnam Listing Securities Companies.” International Conference on Computational Aspects of Social Networks (CASoN 2010), Taiyuan, China, September 26-28, (2010): 273-277
[7] Choudhury, Koushiki. “Evaluating customer-perceived service quality in business management education in India: A study in topsis modeling.” Asia Pacific Journal of Marketing and Logistics. 27, 2 (2015): 208-225.
[8] Deepa Joshi and Sanjay Kumar. “Interval-valued Intuitionistic Hesitant Fuzzy Choquet Integral Based TOPSIS Method for Multi-criteria Group Decision Making.” European Journal of Operational Research. 248 (2016): 183-191.
[9] Joshi, D. and Kumar, S. “Intuitionistic Fuzzy Entropy and Distance Measure Based TOPSIS Method for Multi Criteria Decision Making.” Egyptian Informatics Journal. 15 (2014): 97-104.
[10] Varsha T. Lokare, Prakash M. Jadhav “Using the AHP and TOPSIS methods for decision making in best course selection after HSC.” 2016 International Conference on Computer Communication and Informatics (ICCCI). (2016): 1–6.
[11] Afful-Dadzie, Eric; Afful-Dadzie, Anthony. “A decision making model for selecting start-up businesses in a government venture capital scheme.” Management Decision. 54 Issue 3 (2016): 714-734.
[12] Tien-Chin Wang, Mei-Chu Liou, and Hsiu-Huang Hung. “Selection by TOPSIS for Surveyor of Candidates in Organizations.” International Journal of Services Operations and Informatics. 1 (2006): 332-346.
[13] Tien-Chin Wang, Mei-Chu Liou, and Hsiu-Huang Hung. “Decision-making for Selecting Applicants by TOPSIS.” 2005 IEEE International Conference on Service Operations and Logistics, and Informatics (2005 IEEE SOLI), Beijing, China, August 10-12, 2005.
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  • APA Style

    Tien-Chin Wang, Bi-Chao Lee. (2016). Evaluating Police Administration Performance Using TOPSIS. Science Innovation, 4(6), 296-302. https://doi.org/10.11648/j.si.20160406.19

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    ACS Style

    Tien-Chin Wang; Bi-Chao Lee. Evaluating Police Administration Performance Using TOPSIS. Sci. Innov. 2016, 4(6), 296-302. doi: 10.11648/j.si.20160406.19

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    AMA Style

    Tien-Chin Wang, Bi-Chao Lee. Evaluating Police Administration Performance Using TOPSIS. Sci Innov. 2016;4(6):296-302. doi: 10.11648/j.si.20160406.19

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  • @article{10.11648/j.si.20160406.19,
      author = {Tien-Chin Wang and Bi-Chao Lee},
      title = {Evaluating Police Administration Performance Using TOPSIS},
      journal = {Science Innovation},
      volume = {4},
      number = {6},
      pages = {296-302},
      doi = {10.11648/j.si.20160406.19},
      url = {https://doi.org/10.11648/j.si.20160406.19},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20160406.19},
      abstract = {Compared to government workloads which are often irregular, police work contains many aspects, each of which is held to specific performance standards. Past literature has investigated individual cases and made selective comparisons, yet is lacking in overall work analyses. Police authorities must be able to assess the work performances of each police station to ensure the balance of investments and returns while also investigating overall work performance, rather than solely looking at individual cases. This study used objective analysis to evaluate the 2014 work performances of Kaohsiung City Police Department police stations (Taiwan) in 00 Precinct in order to determine the quality of work performance so that the heads of each unit can improve any insufficiencies in accordance with objectives and improve the competitiveness of police work. As such, the Delphi Technique was used to calculate the weight for several key indicators for 00 Precinct; then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to arrange these indicators according to 00 Precinct police station work performance ratings. Nine police stations (A1-A9) and seven indicators (number of police officers, population in area of jurisdiction, total number of criminal cases, number of solved cases, number of traffic accidents, number of traffic tickets issued, and number of cases accepted via 110) were included in this study to assess the work performances of each station. The number of police officers was divided by the population in area of jurisdiction to obtain a police-to-population ratio for a total of six C values. The results indicated that among the nine police stations, A1 had the highest administrative performance in 00 Precinct; its Ci value of 55.95% showed that this police station had the best work performance.},
     year = {2016}
    }
    

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    AU  - Bi-Chao Lee
    Y1  - 2016/12/30
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    N1  - https://doi.org/10.11648/j.si.20160406.19
    DO  - 10.11648/j.si.20160406.19
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    AB  - Compared to government workloads which are often irregular, police work contains many aspects, each of which is held to specific performance standards. Past literature has investigated individual cases and made selective comparisons, yet is lacking in overall work analyses. Police authorities must be able to assess the work performances of each police station to ensure the balance of investments and returns while also investigating overall work performance, rather than solely looking at individual cases. This study used objective analysis to evaluate the 2014 work performances of Kaohsiung City Police Department police stations (Taiwan) in 00 Precinct in order to determine the quality of work performance so that the heads of each unit can improve any insufficiencies in accordance with objectives and improve the competitiveness of police work. As such, the Delphi Technique was used to calculate the weight for several key indicators for 00 Precinct; then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to arrange these indicators according to 00 Precinct police station work performance ratings. Nine police stations (A1-A9) and seven indicators (number of police officers, population in area of jurisdiction, total number of criminal cases, number of solved cases, number of traffic accidents, number of traffic tickets issued, and number of cases accepted via 110) were included in this study to assess the work performances of each station. The number of police officers was divided by the population in area of jurisdiction to obtain a police-to-population ratio for a total of six C values. The results indicated that among the nine police stations, A1 had the highest administrative performance in 00 Precinct; its Ci value of 55.95% showed that this police station had the best work performance.
    VL  - 4
    IS  - 6
    ER  - 

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Author Information
  • Dept. of International Business, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

  • Dept. of International Business, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

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