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Factors Influencing Internet Users’ Attitude and Behaviour Toward Digital Piracy: A Systematic Literature Review Article

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Innovative Technologies and Learning (ICITL 2022)

Abstract

The unauthorized copying and distribution of digital media content via the internet is known as digital piracy, one of the computer ethical issues. The main objective of this study is to answer this research question: “According to the literature, what factors influence the internet users’ attitude towards digital piracy?”. To address the research question, the researchers used a systematic literature review methodology to investigate several studies published between 2010 and 2020 on digital piracy. Following the PRISMA approach, the researchers found and reviewed 31 papers related to digital piracy topics out of 123 articles. The initial findings were five (5) factor groupings identified as the primary motivation behind digital piracy. The factor groups were further categorized into three (3) super factor groups, namely, 1) accessibility, 2) awareness and education about digital piracy, and 3) social and cultural factors. According to this paper, these are the core factors influencing internet users toward digital piracy. This study adds to the growing literature on digital media piracy by better equipping those affected by digital piracy (educational, government, business organizations, digital media houses, etc.) with strategies and tools to effectively address digital piracy.

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Acknowledgments

The researchers declare no conflict of interest. Professor Elmarie Kritzinger supervised the master’s full dissertation, from which this paper was developed. Both authors contributed towards all sections of the paper and had approved its final version.

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Correspondence to Nompilo Fakude .

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Fakude, N., Kritzinger, E. (2022). Factors Influencing Internet Users’ Attitude and Behaviour Toward Digital Piracy: A Systematic Literature Review Article. In: Huang, YM., Cheng, SC., Barroso, J., Sandnes, F.E. (eds) Innovative Technologies and Learning. ICITL 2022. Lecture Notes in Computer Science, vol 13449. Springer, Cham. https://doi.org/10.1007/978-3-031-15273-3_35

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  • DOI: https://doi.org/10.1007/978-3-031-15273-3_35

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