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The antecedents and consequences of legitimate corporate participation in the DarkNet: a preliminary model

Kenny, David, Fox, Grace orcid logoORCID: 0000-0003-1392-6833, Sinclair, Gary orcid logoORCID: 0000-0002-2181-7736 and Lynn, Theo orcid logoORCID: 0000-0001-9284-7580 (2021) The antecedents and consequences of legitimate corporate participation in the DarkNet: a preliminary model. In: 54th Hawaii International Conference on System Sciences 2021, 5-8th Jan 2021, Grand Wailea, Maui, Hawaii (Online). ISBN 978-0-9981331-4-0

Abstract
The DarkNet is a purposefully hidden collection of disconnected web sites that are not indexed by conventional or mainstream search engines, are not accessible by conventional means, and requires specialised software, specific knowledge, and authorisation to gain access. While typically associated with illegality and criminality, there are an increasing number of legitimate organizations active on the DarkNet. While explored widely in Computer Science, Humanities and Social Science, Engineering and Medicine, there is a paucity of research in the business and IS disciplines. The objective of this paper is to introduce the DarkNet and DarkNet Commerce, summarise extant business and IS research, albeit limited, and outline a proposed model to explore a previously unexplored relationship in the business and IS literature, namely the antecedents and consequences of the participation of legitimate organisations on the DarkNet.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:darknet; darknet commerce; dark web; The Diffusion; Impacts;
Subjects:Business > Commerce
Business > Electronic commerce
Business > Marketing
Computer Science > World Wide Web
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Published in: Proceedings of the 54th Hawaii International Conference on System Sciences 2021. . ISBN 978-0-9981331-4-0
Official URL:http://hdl.handle.net/10125/71193
Copyright Information:© 2021 The Authors (CC BY-NC-ND 4.0)
ID Code:25313
Deposited On:05 Jan 2021 17:05 by David Kenny . Last Modified 25 Jul 2022 14:09
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