A Blocking Distribution Channels to Prevent Illegal Leakage in Supply Chain using Digital Forensic

HWANG,, J. (2022). A Blocking Distribution Channels to Prevent Illegal Leakage in Supply Chain using Digital Forensic. The Journal of Distribution Science, 20(7), 107-117, https://doi.org/https://doi.org/10.15722/jds.20.07.202207.107

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Abstract

Purpose: The scope of forensic investigations serves to identify malicious activities, including leakage of crucial corporate information. The investigations also identify security lapses in available networks. The purpose of the present study is to explore how to block distribution channels to protect illegal leakage in supply chain through digital forensic method. Research design, data and methodology: The present study conducted the qualitative textual analysis and its data collection process entails five steps: identifying and collecting data, determining coding categories, coding the content, checking validity and reliability, and analyzing and presenting the results. This methodology is a significant research method due to its high quality of previous resources. Results: Applying previous literature analysis to the results of this study, the author figured out that there are four solutions as an evidences to block distribution channels, preventing illegal leakage regarding company information. The following subtitles show clear solutions: (1) Communicate with Stakeholders, (2) Preventing and addressing illegal leakage, (3) Victims of Data Breach, (4) Focusing Solely on Technical Teams. Conclusion: There are difficult scenarios that continue to introduce difficult questions surrounding engagement with digital evidence. Consequently, it is important to enhance data handling to provide answers for organizations that suffer due to illegal leakages of sensitive information.

keywords: Digital Forensic, Supply Chain Management, Distribution Channel, Qualitative Approach

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Article Contents

Vol.20 No.7

A Blocking Distribution Channels to Prevent Illegal Leakage in Supply Chain using Digital Forensic

Abstract

Reference

The Journal of Distribution Science