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The Missing Variable in Big Data for Social Sciences: The Decision-Maker

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  • Michela Arnaboldi

    (Department of Management, Economics and Industrial Engineering, Politecnico di Milano, 20156 Milano, Italy)

Abstract

The value of big data for social sciences and social impact is professed to be high. This potential value is related, however, to the capacity of using extracted information in decision-making. In all of this, one important point has been overlooked: when “humans” retain a role in the decision-making process, the value of information is no longer an objective feature but depends on the knowledge and mindset of end users. A new big data cycle has been proposed in this paper, where the decision-maker is placed at the centre of the process. The proposed cycle is tested through two cases and, as a result of the suggested approach, two operations—filtering and framing—which are routinely carried out independently by scientists and end users in an unconscious manner, become clear and transparent. The result is a new cycle where four dimensions guide the interactions for creating value.

Suggested Citation

  • Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3415-:d:171959
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    References listed on IDEAS

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    1. Felice Frankel & Rosalind Reid, 2008. "Big data: Distilling meaning from data," Nature, Nature, vol. 455(7209), pages 30-30, September.
    2. Deborah Agostino & Yulia Sidorova, 2017. "How social media reshapes action on distant customers: some empirical evidence," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 30(4), pages 777-794, May.
    3. Kyungtae Kim & Sungjoo Lee, 2018. "How Can Big Data Complement Expert Analysis? A Value Chain Case Study," Sustainability, MDPI, vol. 10(3), pages 1-21, March.
    4. 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.
    5. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    6. Hanliang Fu & Zhaoxing Li & Zhijian Liu & Zelin Wang, 2018. "Research on Big Data Digging of Hot Topics about Recycled Water Use on Micro-Blog Based on Particle Swarm Optimization," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    7. Kwok Tai Chui & Wadee Alhalabi & Sally Shuk Han Pang & Patricia Ordóñez de Pablos & Ryan Wen Liu & Mingbo Zhao, 2017. "Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications," Sustainability, MDPI, vol. 9(12), pages 1-23, December.
    8. Yuhuan Zhang & Huapu Lu & Shengxi Luo & Zhiyuan Sun & Wencong Qu, 2017. "Human-Scale Sustainability Assessment of Urban Intersections Based upon Multi-Source Big Data," Sustainability, MDPI, vol. 9(7), pages 1-22, July.
    9. Patricia Ordóñez de Pablos & Miltiadis Lytras, 2018. "Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness," Sustainability, MDPI, vol. 10(6), pages 1-7, June.
    10. Michela Arnaboldi & Cristiano Busco & Suresh Cuganesan, 2017. "Accounting, accountability, social media and big data: revolution or hype?," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 30(4), pages 762-776, May.
    11. 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.
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    Cited by:

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