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                            Library & Multimedia
 The SECI model and darknet markets: Knowledge creation in criminal organizations and communities of practice
NCJ Number
              307359
Journal

*European Journal of Criminology* Volume: Online Dated: 2022
Author(s)
          Marie-Helen Maras;
                        Jana Arsovska;
                        Adam Scott Wandt;
                        Melanie Knieps;
                        Kenji Logie
Date Published

August 2022
Length
              26 pages
Annotation
              The authors of this article report on their research study that examined how tacit and explicit knowledge is created and shared on three darknet markets, and how people affect that process.
Abstract
              This study examines darknet markets through the lens of a business theory on knowledge management. Taking epistemological and ontological dimensions into consideration, this study uses Nonaka's (1991) SECI model as a theoretical framework to identify and describe how tacit and explicit knowledge is created and shared on Silk Road, Pandora, and Agora darknet markets, and how people affect this process. By studying this process, insights can be obtained into darknet market criminal organizations and communities of practice and their impact on the continuity and resilience of illicit darknet markets. This project used data from the Internet Archive collection of publicly available darknet market scrapes between 2011 and 2015. The authors observed instances of the SECI model (socialization, externalization, combination, and internalization) on darknet markets in both criminal organizations and communities of practice. Darknet market leaders and groups facilitated both knowledge creation and sharing. This study is the first to test the SECI model on darknet markets; it provides an understanding of the complexity and resilience of darknet markets, as well as valuable information to help guide law enforcement agencies’ efforts to stop the illicit trade of goods and services. Publisher Abstract Provided
      
  
          Additional Details
Grant Number(s)
        2019-R2-CX-0018


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Detecting Fentanyl and Major Players in Darknet Drug Markets by Analyzing Drug Networks and Developing a Threat Assessment Tool
    
  
  
Date Published: August 1, 2022
    
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