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Is Big Data Security Essential for Students to Understand?

Author

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  • Mustofa Rochman Hadi

    (Universitas Muhammadiyah Surakarta, Indonesia)

Abstract

Big Data has become a significant concern of the world, along with the era of digital transformation. However, there are still many young people, especially in developing countries, who are not yet aware of the security of their big data, especially personal data. Misuse of information from big data often results in violations of privacy, security, and cybercrime. This study aims to determine how aware of the younger generation of security and privacy of their big data. Data were collected qualitatively by interviews and focus group discussions (FGD) from. Respondents were undergraduate students who used social media and financial technology applications such as online shopping, digital payments, digital wallet and hotel/transportation booking applications. The results showed that students were not aware enough and understood the security or privacy of their digital data, and some respondents even gave personal data to potentially scam sites. Most students are not careful in providing big data information because they are not aware of the risks behind it, socialization is needed in the future as a step to prevent potential data theft.

Suggested Citation

  • Mustofa Rochman Hadi, 2020. "Is Big Data Security Essential for Students to Understand?," HOLISTICA – Journal of Business and Public Administration, Sciendo, vol. 11(2), pages 161-170, August.
    • Handle: RePEc:vrs:hjobpa:v:11:y:2020:i:2:p:161-170:n:12
    DOI: 10.2478/hjbpa-2020-0026
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    References listed on IDEAS

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    3. Anggraeni Permatasari & Mayci Kartikowati, 2018. "The influence of website design on customer online trust and perceived risk towards purchase intention: a case of O2O commerce in Indonesia," International Journal of Business and Globalisation, Inderscience Enterprises Ltd, vol. 21(1), pages 74-86.
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    More about this item

    Keywords

    Big Data; Security and Privacy; Digital Data; Financial Technology;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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