IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i17p10616-d897602.html
   My bibliography  Save this article

Knowledge Development Trajectories of Crime Prevention Domain: An Academic Study Based on Citation and Main Path Analysis

Author

Listed:
  • Song-Chia Hsu

    (College of Management, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Kai-Ying Chen

    (Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Chih-Ping Lin

    (Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Wei-Hao Su

    (Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan)

Abstract

This study performed main path analysis to explore the academic field of crime prevention. Studies were collected from the Web of Science database, and main path analysis was used to analyze the studies and identify influential authors and journals on the basis of the g-index and h-index. Cluster analysis was then performed to group studies with related themes. Wordle was used to output keywords and word clouds for each cluster, both of which were used as reference to name each cluster. Five clusters were identified, namely crime displacement control, crime prevention through environmental design, developmental crime prevention, the effects of communalism on crime prevention, and the effect of childhood sexual abuse on crime. Each cluster was analyzed, and suggestions based on the results are provided. The main purpose of crime prevention is to advance our understanding of the psychological criminal mechanisms (i.e., personal, social and environmental impacts) associated with different criminal behaviors at the intersection of law by using main path analysis.

Suggested Citation

  • Song-Chia Hsu & Kai-Ying Chen & Chih-Ping Lin & Wei-Hao Su, 2022. "Knowledge Development Trajectories of Crime Prevention Domain: An Academic Study Based on Citation and Main Path Analysis," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10616-:d:897602
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/17/10616/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/17/10616/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Calero-Medina, Clara & Noyons, Ed C.M., 2008. "Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field," Journal of Informetrics, Elsevier, vol. 2(4), pages 272-279.
    2. Roberto Fontana & Alessandro Nuvolari & Bart Verspagen, 2009. "Mapping technological trajectories as patent citation networks. An application to data communication standards," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(4), pages 311-336.
    3. Bart Verspagen, 2007. "Mapping Technological Trajectories As Patent Citation Networks: A Study On The History Of Fuel Cell Research," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 93-115.
    4. Diana Lucio‐Arias & Loet Leydesdorff, 2008. "Main‐path analysis and path‐dependent transitions in HistCite™‐based historiograms," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(12), pages 1948-1962, October.
    5. Brandon C. Welsh & David P. Farrington, 2003. "Effects of Closed-Circuit Television on Crime," The ANNALS of the American Academy of Political and Social Science, , vol. 587(1), pages 110-135, May.
    6. Bhupatiraju, Samyukta & Nomaler, Önder & Triulzi, Giorgio & Verspagen, Bart, 2012. "Knowledge flows – Analyzing the core literature of innovation, entrepreneurship and science and technology studies," Research Policy, Elsevier, vol. 41(7), pages 1205-1218.
    7. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    8. Brandon C. Welsh & David P. Farrington, 2001. "Toward an Evidence-Based Approach to Preventing Crime," The ANNALS of the American Academy of Political and Social Science, , vol. 578(1), pages 158-173, November.
    9. Bekkers, Rudi & Martinelli, Arianna, 2012. "Knowledge positions in high-tech markets: Trajectories, standards, strategies and true innovators," Technological Forecasting and Social Change, Elsevier, vol. 79(7), pages 1192-1216.
    10. Anthony A. Braga, 2001. "The Effects of Hot Spots Policing on Crime," The ANNALS of the American Academy of Political and Social Science, , vol. 578(1), pages 104-125, November.
    11. Davide Consoli & Andrea Mina, 2009. "An evolutionary perspective on health innovation systems," Journal of Evolutionary Economics, Springer, vol. 19(2), pages 297-319, April.
    12. Yan-Feng He & Chie-Peng Chen & Rung-Jiun Chou, 2019. "The Key Factors Influencing Safety Analysis for Traditional Settlement Landscape," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    13. Yan, Jianghui & Tseng, Fang-Mei & Lu, Louis Y.Y., 2018. "Developmental trajectories of new energy vehicle research in economic management: Main path analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 168-181.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    2. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2020. "The overlooked citations: Investigating the impact of ignoring citations to published patent applications," Journal of Informetrics, Elsevier, vol. 14(1).
    3. Epicoco, Marianna & Oltra, Vanessa & Maïder Saint, Jean, 2014. "Knowledge dynamics and sources of eco-innovation: Mapping the Green Chemistry community," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 388-402.
    4. Flavia Filippin, 2021. "Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6443-6477, August.
    5. Epicoco, Marianna, 2013. "Knowledge patterns and sources of leadership: Mapping the semiconductor miniaturization trajectory," Research Policy, Elsevier, vol. 42(1), pages 180-195.
    6. Martin Ho & Henry CW Price & Tim S Evans & Eoin O'Sullivan, 2023. "Order in Innovation," Papers 2302.13076, arXiv.org.
    7. Kim, Erin H.J. & Jeong, Yoo Kyung & Kim, YongHwan & Song, Min, 2022. "Exploring scientific trajectories of a large-scale dataset using topic-integrated path extraction," Journal of Informetrics, Elsevier, vol. 16(1).
    8. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2018. "Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments," Journal of Informetrics, Elsevier, vol. 12(1), pages 259-270.
    9. Alessandri, Enrico, 2023. "Identifying technological trajectories in the mining sector using patent citation networks," Resources Policy, Elsevier, vol. 80(C).
    10. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    11. Euiseok Kim & Yongrae Cho & Wonjoon Kim, 2014. "Dynamic patterns of technological convergence in printed electronics technologies: patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 975-998, February.
    12. Ichiro Watanabe & Soichiro Takagi, 2021. "Technological Trajectory Analysis of Patent Citation Networks: Examining the Technological Evolution of Computer Graphic Processing Systems," The Review of Socionetwork Strategies, Springer, vol. 15(1), pages 1-25, June.
    13. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    14. Marianna EPICOCO & Vanessa OLTRA & Maïder SAINT JEAN, 2012. "Mapping the scientific knowledge of the Green Chemistry community (In French)," Cahiers du GREThA (2007-2019) 2012-10, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    15. Huang, Chen-Hao & Liu, John S. & Ho, Mei Hsiu-Ching & Chou, Tzu-Chuan, 2022. "Towards more convergent main paths: A relevance-based approach," Journal of Informetrics, Elsevier, vol. 16(3).
    16. Fang Han & Sejun Yoon & Nagarajan Raghavan & Hyunseok Park, 2022. "Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    17. Fan Zeng & Stacy Hyun Nam Lee & Chris Kwan Yu Lo, 2020. "The Role of Information Systems in the Sustainable Development of Enterprises: A Systematic Literature Network Analysis," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    18. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    19. Yoonki Rhee & Sejun Yoon & Hyunseok Park, 2022. "Exploring Knowledge Trajectories of Accounting Information Systems Using Business Method Patents and Knowledge Persistence-Based Main Path Analysis," Mathematics, MDPI, vol. 10(18), pages 1-22, September.
    20. Malhotra, Abhishek & Zhang, Huiting & Beuse, Martin & Schmidt, Tobias, 2021. "How do new use environments influence a technology's knowledge trajectory? A patent citation network analysis of lithium-ion battery technology," Research Policy, Elsevier, vol. 50(9).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10616-:d:897602. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.