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Big web data: Challenges related to data, technology, legality, and ethics

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  • Krotov, Vlad
  • Johnson, Leigh

Abstract

The digital data available online is currently measured in zettabytes. These vast repositories of big web data are increasingly viewed as a strategic resource comparable in value to land, gold, and oil. This big web data can be extracted and analyzed by organizations to gain a better understanding of their internal and external environment and improve organizational performance. Because of these opportunities, automated retrieval and organization of web data (i.e., web scraping) for research projects is becoming a common practice. This article outlines the data-related, technical, legal, and ethical issues related to web scraping. Awareness of these issues can help researchers save time and resources and, most importantly, mitigate the potential risk of ethical controversies or lawsuits related to the retrieval and use of big web data.

Suggested Citation

  • Krotov, Vlad & Johnson, Leigh, 2023. "Big web data: Challenges related to data, technology, legality, and ethics," Business Horizons, Elsevier, vol. 66(4), pages 481-491.
    • Handle: RePEc:eee:bushor:v:66:y:2023:i:4:p:481-491
    DOI: 10.1016/j.bushor.2022.10.001
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    References listed on IDEAS

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    1. Alharthi, Abdulkhaliq & Krotov, Vlad & Bowman, Michael, 2017. "Addressing barriers to big data," Business Horizons, Elsevier, vol. 60(3), pages 285-292.
    2. Dabirian, Amir & Kietzmann, Jan & Diba, Hoda, 2017. "A great place to work!? Understanding crowdsourced employer branding," Business Horizons, Elsevier, vol. 60(2), pages 197-205.
    3. Merendino, Alessandro & Dibb, Sally & Meadows, Maureen & Quinn, Lee & Wilson, David & Simkin, Lyndon & Canhoto, Ana, 2018. "Big data, big decisions: The impact of big data on board level decision-making," Journal of Business Research, Elsevier, vol. 93(C), pages 67-78.
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