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Big Data Analytics in Industry 4.0 in Legal Perspective: Past, Present and Future

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Digital Transformation

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Abstract

Big data is a hot topic in both the social and industrial spheres. More businesses, organisations, and governments are investing in big data initiatives to boost revenue, productivity, and profitability by anticipating market demands. But delving back in time reveals big data's extensive history. They gathered this data without the internet by analysing market demand and share. Only the government and large corporations could subsequently afford their own big data infrastructure procedure. In the fourth industrial revolution, small and medium-sized businesses are investing in big data initiatives to compete in competitive marketplaces. They can use big data to analyse patterns, trends, client preferences, and market demand. Big data is currently indispensable in every organisation and business. The rising trend of big data in Industry 4.0 raises privacy issues. A skilled prospecting agent who can readily get huge data from the public domain may misuse it due to the increased threat of cyber-attacks. To ensure data security, data collecting organisations and enterprises must state the goal of obtaining data and maintain all data management regulations as routine safety measures. To ensure individual data security, this research will offer the basic procedural security compliance requirements for companies and society standards. The most fascinating legal issues and solutions from the past, present, and future will be discussed.

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References

  1. Abdullah FM (2018) Privacy, Security and Legal Challenges in Big Data. IJCIET 9(13):1682–1690

    Google Scholar 

  2. Akkaya B (2019) Leadership 5.0 in Industry 4.0: Leadership in perspective of organizational agility. In: Essila JC (ed) Managing operations throughout global supply chains. IGI Global, USA, pp 136–158

    Chapter  Google Scholar 

  3. Al Nuaimi E, Al Neyadi H, Mohamed N et al (2015) Applications of big data to smart cities. J Internet Serv Appl 6(25):1–15. https://doi.org/10.1186/s13174-015-0041-5

    Article  Google Scholar 

  4. Andress J (2014) The basics of information security: Understanding the fundamentals of Infosec in Theory and Practice. Syngress, USA

    Google Scholar 

  5. Bennett CJ (2016) Voter databases, micro-targeting, and data protection law: Can political parties campaign in Europe as they do in North America? International Data Privacy Law:261–275.https://doi.org/10.1093/idpl/ipw021

  6. Bertot JC, Jaeger PT, Hansen D (2012) The impact of policies on government social media usage: Issues, challenges and recommendations. Govt Inf Q 29(1):30–40. https://doi.org/10.1016/j.giq.2011.04.004

    Article  Google Scholar 

  7. Chakrabarty SP, Ghosh J, Mukherjee S (2021) Privacy issues of smart cities: legal outlook. In Chinmay Chakraborty JC-W (ed) Data-driven mining, learning and analytics for secured smart cities. Springer, Switzerland, pp 295–311

    Google Scholar 

  8. Cheng L, Liu F, Yao D (2017) Enterprise data breach: causes, challenges, prevention, and future directions. WIREs Data Mining Knowl Discov 7:e1211. https://doi.org/10.1002/widm.1211

    Article  Google Scholar 

  9. Efstathiou K, Efstathiou M (2018) Celestial gearbox: the oldest known computer is a mechanism designed to calculate the location of the sun, moon, and planets. Mech Eng 140(9):31–35. https://doi.org/10.1115/1.2018-SEP1

    Article  Google Scholar 

  10. Erragcha N, Romdhane R (2014) New faces of marketing in the era of the web: From Marketing 1.0 to Marketing 3.0. J Res Mar 2(2):137–142

    Google Scholar 

  11. Espinosa JA, Kaisler S, et al (2019) Big data redux: new issues and challenges moving forward. In: Proceedings of the 52nd Hawaii international conference on system sciences. Available via https://scholarspace.manoa.hawaii.edu/bitstream/10125/59546/0106.pdf. Accessed 20 Feb 2022

  12. Fang W, Wen XZ et al (2017) A survey of big data security and privacy-preserving. IETE Tech Rev 34(5):544–560

    Article  Google Scholar 

  13. Frichou F (2021) What are consumer insights and how do I use them? An introduction. Trustpilot Business Blog. Available via Trustpilot: https://business.trustpilot.com/reviews/learn-from-customers/what-are-consumer-insights-and-how-do-i-use-them. Accessed Oct 10 2021

  14. Fuciu M, Dumitrescu L (2018) From marketing 1.0 to marketing 4.0 – the evolution of the marketing concept in the context of the 21ST century. international conference knowledge-based organization, 24(2):43–48. https://doi.org/10.1515/kbo-2018-0064

  15. Fukuyama M (2018) Society 5.0: aiming for a new human-centered society. Japan SPOTLIGHT. Available at Japan Economic Foundation. https://www.jef.or.jp/journal/pdf/220th_Special_Article_02.pdf. Accessed 7 Oct 2021

  16. Gartner (2017) Gartner glossary. https://www.gartner.com/en/information-technology/glossary/big-data. Accessed 20 Sep 2021

  17. Ghosh J, Nanda AS (2022) Legal implication of blockchain technology in public health. In: Chakraborty C (ed) Digital health transformation with blockchain and artificial intelligence. CRC Press, Florida

    Google Scholar 

  18. Ghosh J, Sinha VK (2022). How far data mining is legal! In: Namita Singh Malik EA (ed) Legal analytics the future of analytics in law. CRC Press, Florida

    Google Scholar 

  19. Gruschka N, Mavroeidis V (2018) Privacy issues and data protection in big data: a case study analysis under GDPR. In: 2018 IEEE international conference on big data. Available via Cornell University https://arxiv.org/pdf/1811.08531.pdf. Accessed 22 Feb 2022

  20. Gulia P, Hemlata (2020) Legal issues related to big data. IJARET 11(7):629–638.https://doi.org/10.34218/IJARET.11.7.2020.063

  21. Jara AJ, Parra MC, Skarmeta AF (2012) Marketing 4.0: a new value added to the Marketing through the Internet of Things. In: 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp 852–857. https://doi.org/10.1109/IMIS.2012.203

  22. Jiménez-Zarco AI, Martínez-Ruiz MP, et al (2017) Marketing 4.0: enhancing consumer-brand engagement through big data analysis. In: Kaufmann HR, Panni MFK (ed) Socio-economic perspectives on consumer engagement and buying behavior. IGI Global, pp 94–117

    Google Scholar 

  23. Kambies T, et al (2017) Dark analytics: Illuminating opportunities hidden within unstructured data. In: White M, et al (ed) Tech trends 2017: the kinetic enterprise. Deloitte University Press, UK, pp 21–31

    Google Scholar 

  24. Katyal SK (2019) Private accountability in the age of artificial intelligence. UCLA L Rev 66:54–141

    Google Scholar 

  25. Kotler PH et al (2017) Marketing 4.0: moving from traditional to digital. John Wiley & Sons. USA

    Google Scholar 

  26. Lesk ME (2014) How much information is there in the world. https://chnm.gmu.edu/digitalhistory/links/pdf/introduction/0.6a.pdf. Accessed 1 Nov 2021

  27. Hassan Onik MM, Al-Zaben N, et al (2018) Risk identification of personally identifiable information from collective mobile app data. iCCECE. 71–76, https://doi.org/10.1109/iCCECOME.2018.8659213

  28. Marr B (2015) A brief history of big data everyone should read. World Economic Forum. Availabe from World Economic Forum. https://www.weforum.org/agenda/2015/02/a-brief-history-of-big-data-everyone-should-read/ Accessed on 5 Oct 2021

  29. McPeak AA (2015) Social media, smartphones, and proportional privacy in civil discovery. Kan L Rev 64:235–292

    Google Scholar 

  30. Nishchhal N (2020) Python made easy: step by step guide to programming and data analysis using python for beginners and intermediate level. Notion Press, Tamil Nadu

    Google Scholar 

  31. Payton TM, Claypoole T (2014) Privacy in the age of big data recognizing threats, defending your rights, and protecting your family. Rowman and Littlefield. Maryland

    Google Scholar 

  32. Rahayu AU, et al (2018) Marketing 4.0: a digital transformation in pharmaceutical industry to reach customer brand experience. J Uni Padjadjaran 16(1):80–85

    Google Scholar 

  33. Shetty S (2017) How to tackle dark data. Available via Gartner: https://www.gartner.com/smarterwithgartner/how-to-tackle-dark-data. Accessed 20 Sep 2021

  34. Sokol DD (2016) Antitrust and regulating big data. Geo Mason L Rev 23(5):1129–1161

    Google Scholar 

  35. Tas B, Şeker SE (2017) Neuromarketing and management information systems. YbsEncyclopedia.

    Google Scholar 

  36. Thakur A (2021) Trends and analysis of e-commerce market: a global perspective. Int J App Mar Mang 6(1):11–22

    Google Scholar 

  37. The State of Dark Data (2019) Splunk: https://www.splunk.com/pdfs/dark-data/the-state-of-dark-data-report.pdf. Accessed 5 Oct 2021

  38. Varey RJ (2010) Staging consciousness: marketing 3.0, post-consumerism and future pathways. J Cust Behav 9(4):321–334. https://doi.org/10.1362/147539210X543538

  39. Zhang D (2018) Big data security and privacy protection. In: The 8th international conference on management and computer science. pp 275–278, https://doi.org/10.2991/icmcs-18.2018.56

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Authors and Affiliations

  1. Centre for Regulatory Studies, Governance and Public Policy, The West Bengal National University of Juridical Sciences, Kolkata, India

    Jayanta Ghosh & Vijoy Kumar Sinha

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  1. Jayanta Ghosh
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  2. Vijoy Kumar Sinha
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Correspondence to Jayanta Ghosh .

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Editors and Affiliations

  1. School of Computing Science and Engineering, Galgotias University, Greater Noida, India

    Avadhesh Kumar

  2. School of Computing Science and Engineering, Galgotias University, Greater Noida, India

    Shrddha Sagar

  3. School of Computing Science and Engineering, Galgotias University, Greater Noida, India

    Poongodi Thangamuthu

  4. Shiv Nadar University, Greater Noida, India

    B. Balamurugan

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Ghosh, J., Sinha, V.K. (2024). Big Data Analytics in Industry 4.0 in Legal Perspective: Past, Present and Future. In: Kumar, A., Sagar, S., Thangamuthu, P., Balamurugan, B. (eds) Digital Transformation. Disruptive Technologies and Digital Transformations for Society 5.0. Springer, Singapore. https://doi.org/10.1007/978-981-99-8118-2_7

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  • DOI: https://doi.org/10.1007/978-981-99-8118-2_7

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  • Online ISBN: 978-981-99-8118-2

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