Paper Info
Title
Industrial Espionage - A Systematic Literature Review (Slr)
Abstract
Industrial Espionage (IE) is an umbrella term covering a complicated range of activities performed to gain competitive advantages, resulting in a huge amount of financial loss annually. Currently, techniques generated by rapid developments of Internet of Things (IOTs) and Data Science are enabling a massive increase of both frequency and power of IE related activities in our increasingly challenging global commercial environment. Thus, an in-depth understanding of IE is necessary. In this paper, we report a comprehensive Systematic Literature Review (SLR) of current English literature on IE. Particularly, we systematically: i) identify key features of IE by analysing its current definitions, and coin our own working definition; ii) discuss the current state of research on IE from different academic disciplines; iii) highlight some key challenges in the current state of research on IE; and iv) identify some possible trends in its future development. Further, based on our findings, we call for more multi-disciplinary/multi-agency research on IE in order to construct a comprehensive framework to combat IE. (c) 2020 Published by Elsevier Ltd.
Year
DOI
Venue
2020
10.1016/j.cose.2020.102019
COMPUTERS & SECURITY
Keywords
DocType
Volume
Industrial espionage, Systematic literature review (SLR), Key features, Challenges, Trends
Journal
98
ISSN
Citations 
PageRank 
0167-4048
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Tie Hou100.34
Victoria Wang212.72