IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i18p5067-d267818.html
   My bibliography  Save this article

Big Data and Their Social Impact: Preliminary Study

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/18/5067/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/18/5067/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdulrahman Housawi & Amal Al Amoudi & Basim Alsaywid & Miltiadis Lytras & Yara H. bin Μoreba & Wesam Abuznadah & Sami A. Alhaidar, 2020. "Evaluation of Key Performance Indicators (KPIs) for Sustainable Postgraduate Medical Training: An Opportunity for Implementing an Innovative Approach to Advance the Quality of Training Programs at the," Sustainability, MDPI, vol. 12(19), pages 1-37, September.
    2. Miltiadis D. Lytras & Anna Visvizi & Akila Sarirete, 2019. "Clustering Smart City Services: Perceptions, Expectations, Responses," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    3. Miltiadis D. Lytras & Anna Visvizi, 2018. "Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities Research," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    4. Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    5. Lihuan Guo & Dongqiang Guo & Wei Wang & Hongwei Wang & Yenchun Jim Wu, 2018. "Distance Diffusion of Home Bias for Crowdfunding Campaigns between Categories: Insights from Data Analytics," Sustainability, MDPI, vol. 10(4), pages 1-22, April.
    6. Rima H. Binsaeed & Adriana Grigorescu & Zahid Yousaf & Florin Radu & Abdelmohsen A. Nassani & Alina Iuliana Tabirca, 2023. "Harnessing Big Data Analytics to Accelerate Innovation: An Empirical Study on Sport-Based Entrepreneurs," Sustainability, MDPI, vol. 15(13), pages 1-13, June.
    7. Lei Wang & Mengke Yang & Zulfiqar Hussain Pathan & Shafaq Salam & Khuram Shahzad & Jianqiu Zeng, 2018. "Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    8. Mariani, Marcello M. & Fosso Wamba, Samuel, 2020. "Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies," Journal of Business Research, Elsevier, vol. 121(C), pages 338-352.
    9. Yang, Jialiang & Li, Yaokuang & Calic, Goran & Shevchenko, Anton, 2020. "How multimedia shape crowdfunding outcomes: The overshadowing effect of images and videos on text in campaign information," Journal of Business Research, Elsevier, vol. 117(C), pages 6-18.
    10. Małgorzata Pańkowska & Mariusz Żytniewski, 2019. "Modele architektury biznesowej administracji publicznej w warunkach przetwarzania danych masowych," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 56, pages 171-183.
    11. Hans-Joachim Schramm & Carolin Nicole Czaja & Michael Dittrich & Matthias Mentschel, 2019. "Current Advancements of and Future Developments for Fourth Party Logistics in a Digital Future," Logistics, MDPI, vol. 3(1), pages 1-17, February.
    12. Goggin, Gerard & Vromen, Ariadne & Weatherall, Kimberlee & Martin, Fiona & Sunman, Lucy, 2019. "Data and digital rights: recent Australian developments," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 8(1), pages 1-19.
    13. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
    14. Jascha-Alexander Koch & Michael Siering, 2019. "The recipe of successful crowdfunding campaigns," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 661-679, December.
    15. van den Broek, Tijs & van Veenstra, Anne Fleur, 2018. "Governance of big data collaborations: How to balance regulatory compliance and disruptive innovation," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 330-338.
    16. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    17. Mohammad Ali Yamin, 2021. "Investigating the Drivers of Supply Chain Resilience in the Wake of the COVID-19 Pandemic: Empirical Evidence from an Emerging Economy," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    18. Diandian Xiang & Leinan Zhang & Qiuyan Tao & Yonggui Wang & Shuang Ma, 2019. "Informational or emotional appeals in crowdfunding message strategy: an empirical investigation of backers’ support decisions," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1046-1063, November.
    19. Mihai-Răzvan Sanda & Cristina-Petrina Trincu-Dragusin, 2021. "Supreme Audit Institutions and the Strive Towards an Open Data Culture," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 1120-1130, December.
    20. Anke Joubert & Matthias Murawski & Markus Bick, 2023. "Measuring the Big Data Readiness of Developing Countries – Index Development and its Application to Africa," Information Systems Frontiers, Springer, vol. 25(1), pages 327-350, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5067-:d:267818. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.