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Big Data and Their Social Impact: Preliminary Study

Author

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  • Miltiades D. Lytras

    (School of Business & Economics, Deree College, The American College of Greece, 153-42 Athens, Greece
    Effat College of Engineering, Effat University, Jeddah P.O. Box 34689, Saudi Arabia)

  • Anna Visvizi

    (School of Business & Economics, Deree College, The American College of Greece, 153-42 Athens, Greece
    Effat College of Business, Effat University, Jeddah P.O. Box 34689, Saudi Arabia)

Abstract

Big data is the buzz-word of today, and yet their specific impact on individuals and societies remains assumed rather than fully understood. Clearly, big data and their use have already given rise to a number of questions, including those of how data can be collected and used in ethical and socially sensitive ways. Building on these points, the objective of this study was to explore how precisely big data and big data based services influence individuals and societies. This paper elaborates on individuals’ perceptions of data, especially on how they perceive the actual sharing of their data. In this way, this paper defines a value space for the social impact of big data relevant to three factors, namely the intention to share personal data, individual’s concerns, and social impact of big data.The main contribution of this study consists of the insights into the still nascent area of research that unfolds at the cross-section of social science and computer science. We expect that in the next years this area of research will gain prominence.

Suggested Citation

  • Miltiades D. Lytras & Anna Visvizi, 2019. "Big Data and Their Social Impact: Preliminary Study," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5067-:d:267818
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    1. José Luis Carrasco-Sáez & Marcelo Careaga Butter & María Graciela Badilla-Quintana, 2017. "The New Pyramid of Needs for the Digital Citizen: A Transition towards Smart Human Cities," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    2. Przemyslaw A Grabowicz & José J Ramasco & Esteban Moro & Josep M Pujol & Victor M Eguiluz, 2012. "Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-9, January.
    3. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    4. Bi, Sheng & Liu, Zhiying & Usman, Khalid, 2017. "The influence of online information on investing decisions of reward-based crowdfunding," Journal of Business Research, Elsevier, vol. 71(C), pages 10-18.
    5. Celina M. Olszak & Maria Mach-Król, 2018. "A Conceptual Framework for Assessing an Organization’s Readiness to Adopt Big Data," Sustainability, MDPI, vol. 10(10), pages 1-31, October.
    6. Igor Calzada, 2018. "(Smart) Citizens from Data Providers to Decision-Makers? The Case Study of Barcelona," Sustainability, MDPI, vol. 10(9), pages 1-25, September.
    7. Jurian Edelenbos & Fadi Hirzalla & Liesbet Zoonen & Jan Dalen & Geiske Bouma & Adriaan Slob & Alexander Woestenburg, 2018. "Governing the Complexity of Smart Data Cities: Setting a Research Agenda," Public Administration and Information Technology, in: Manuel Pedro Rodríguez Bolívar (ed.), Smart Technologies for Smart Governments, pages 35-54, Springer.
    8. Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    9. Ali Kharrazi & Hua Qin & Yi Zhang, 2016. "Urban Big Data and Sustainable Development Goals: Challenges and Opportunities," Sustainability, MDPI, vol. 8(12), pages 1-6, December.
    10. Miltiadis D. Lytras & Vijay Raghavan & Ernesto Damiani, 2017. "Big Data and Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 13(1), pages 1-10, January.
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    Cited by:

    1. Shengbin Hao & Haili Zhang & Michael Song, 2019. "Big Data, Big Data Analytics Capability, and Sustainable Innovation Performance," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    2. João Reis & Paula Santo & Nuno Melão, 2020. "Impact of Artificial Intelligence Research on Politics of the European Union Member States: The Case Study of Portugal," Sustainability, MDPI, vol. 12(17), pages 1-27, August.
    3. Haili Zhang & Michael Song & Huanhuan He, 2020. "Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence Capability," Sustainability, MDPI, vol. 12(3), pages 1-23, January.
    4. Remigiusz Tunowski, 2020. "Sustainability of Commercial Banks Supported by Business Intelligence System," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    5. Raghu Garg & Himanshu Aggarwal & Piera Centobelli & Roberto Cerchione, 2019. "Extracting Knowledge from Big Data for Sustainability: A Comparison of Machine Learning Techniques," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    6. Laura Berardi & Laurie Mook, 2023. "New digital technologies for social impact assessment: Considerations for Italian social economy organizations," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(2 Suppl.), pages 109-132.

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