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How Sustainable Is Big Data?

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  • Charles J. Corbett

Abstract

The rapid growth of “big data” provides tremendous opportunities for making better decisions, where “better” can be defined using any combination of economic, environmental, or social metrics. This essay provides a few examples of how the use of big data can precipitate more sustainable decision‐making. However, as with any technology, the use of big data on a large scale will have some undesirable consequences. Some of these are foreseeable, while others are entirely unpredictable. This essay highlights some of the sustainability‐related challenges posed by the use of big data. It does not intend to suggest that the advent of big data is an undesirable development. However, it is not too early to start asking what the unwanted repercussions of the big data revolution might be.

Suggested Citation

  • Charles J. Corbett, 2018. "How Sustainable Is Big Data?," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1685-1695, September.
    • Handle: RePEc:bla:popmgt:v:27:y:2018:i:9:p:1685-1695
    DOI: 10.1111/poms.12837
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    Cited by:

    1. Ye, Fei & Liu, Ke & Li, Lixu & Lai, Kee-Hung & Zhan, Yuanzhu & Kumar, Ajay, 2022. "Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective," International Journal of Production Economics, Elsevier, vol. 245(C).
    2. Wang, Huamao & Yao, Yumei & Salhi, Said, 2020. "Tension in big data using machine learning: Analysis and applications," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Pavel Castka, 2020. "The Role of Standards in the Development and Delivery of Sustainable Products: A Research Framework," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    4. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
    5. Morshadul Hasan & Ariful Hoque & Thi Le, 2023. "Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives," FinTech, MDPI, vol. 2(3), pages 1-26, July.
    6. Xue Ning & Dobin Yim & Jiban Khuntia, 2021. "Online Sustainability Reporting and Firm Performance: Lessons Learned from Text Mining," Sustainability, MDPI, vol. 13(3), pages 1-15, January.
    7. Julian Senoner & Torbjørn Netland & Stefan Feuerriegel, 2022. "Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing," Management Science, INFORMS, vol. 68(8), pages 5704-5723, August.
    8. Khadija Ajmal & Nallan C. Suresh & Charles X. Wang, 2021. "Disruptive Technologies and Sustainable Supply Chain Management: A Review and Cross-Case Analysis," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 11(2), pages 1-77, December.
    9. Daniela Firoiu & Ramona Pîrvu & Elena Jianu & Laura Mariana Cismaș & Sorin Tudor & Gabriela Lățea, 2022. "Digital Performance in EU Member States in the Context of the Transition to a Climate Neutral Economy," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    10. Nur Sunar & Jayashankar M. Swaminathan, 2022. "Socially relevant and inclusive operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4379-4392, December.
    11. Kraus, Mathias & Feuerriegel, Stefan & Oztekin, Asil, 2020. "Deep learning in business analytics and operations research: Models, applications and managerial implications," European Journal of Operational Research, Elsevier, vol. 281(3), pages 628-641.
    12. Qingjun Li & Shuliang Zhao, 2023. "The Impact of Digital Economy Development on Industrial Restructuring: Evidence from China," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    13. Sunil Mithas & Zhi‐Long Chen & Terence J.V. Saldanha & Alysson De Oliveira Silveira, 2022. "How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4475-4487, December.
    14. Eva Labro & Mark Lang & Jim Omartian, 2019. "Predictive Analytics and Organizational Architecture: Plant-Level Evidence from Census Data," Working Papers 19-02, Center for Economic Studies, U.S. Census Bureau.
    15. Li, Lixu & Chen, Lujie & Liu, Yaoqi, 2024. "Digital governance for supplier opportunism: The mediating role of supplier transparency," International Journal of Production Economics, Elsevier, vol. 275(C).
    16. Broccardo, Laura & Truant, Elisa & Dana, Léo-Paul, 2023. "The interlink between digitalization, sustainability, and performance: An Italian context," Journal of Business Research, Elsevier, vol. 158(C).
    17. Zhu Xiangyu & Yang Yang, 2021. "Big Data Analytics for Improving Financial Performance and Sustainability," Journal of Systems Science and Information, De Gruyter, vol. 9(2), pages 175-191, April.
    18. Xiangyu Chang & Yinghui Huang & Mei Li & Xin Bo & Subodha Kumar, 2021. "Efficient Detection of Environmental Violators: A Big Data Approach," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1246-1270, May.
    19. Imad Antoine Ibrahim, 2020. "Legal Implications of the Use of Big Data in the Transboundary Water Context," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1139-1153, February.
    20. Jónas Oddur Jónasson & Kamalini Ramdas & Alp Sungu, 2022. "Social impact operations at the global base of the pyramid," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4364-4378, December.
    21. Chenavaz, Régis Y. & Dimitrov, Stanko & Figge, Frank, 2021. "When does eco-efficiency rebound or backfire? An analytical model," European Journal of Operational Research, Elsevier, vol. 290(2), pages 687-700.
    22. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    23. Xiaoxia Chen & Mélanie Despeisse & Björn Johansson, 2020. "Environmental Sustainability of Digitalization in Manufacturing: A Review," Sustainability, MDPI, vol. 12(24), pages 1-31, December.
    24. Yan He & Zhaoshu Liu & Min-Jae Lee, 2024. "Navigating Sustainable Value Creation Through Digital Leadership Under Institutional Pressures: The Moderating Role of Environmental Turbulence," Sustainability, MDPI, vol. 16(21), pages 1-16, October.
    25. Magdalena Rusch & Josef‐Peter Schöggl & Rupert J. Baumgartner, 2023. "Application of digital technologies for sustainable product management in a circular economy: A review," Business Strategy and the Environment, Wiley Blackwell, vol. 32(3), pages 1159-1174, March.

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