Information security implications of using NLP in IT outsourcing: a Diffusion of Innovation theory perspective

作者:Baber Majid Bhatti, Sameera Mubarak, Sev Nagalingam

摘要

Information technology outsourcing (ITO) is a USD multi-trillion industry. There is growing competition among ITO service providers to improve their service deliveries. Natural language processing (NLP) is a technique, which can be leveraged to gain a competitive advantage in the ITO industry. This paper explores the information security implications of using NLP in ITO. First, it explores the use of NLP to enhance information security risk management (ISRM) in ITO. Then, it delves into the information security risks (ISRs) that may arise from the use of NLP in ITO. Finally, it proposes possible ISRM approaches to address those ISRs in ITO from the use of NLP. The study follows a qualitative approach using the case study method. Nine participants from three organisations (an ITO client, service provider and sub-contractor) engaged in an ITO relationship in the ICT industry were interviewed through a semi-structured questionnaire. The research findings were verified through a focus group. Case study scenarios are provided for a clear understanding of the findings. To the best of our knowledge, it is the first study to investigate the information security implications of the use of NLP in ITO.

论文关键词:Information security risk (ISR), Information security risk management (ISRM), Information technology outsourcing (ITO), Natural language processing (NLP)

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论文官网地址:https://doi.org/10.1007/s10515-021-00286-x