Understanding the value of (big) data
Abstract
This paper acts as a primer on an economic outlook at the value and pricing of big data. We introduce a simple taxonomy, discuss rights to access and analyze the case of big data as a common pool resource.
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The main strength of big data technology is the high influence it will have on smart cities of the future or smarter cities and on citizens' lives.
“Undoubtedly, the main strength of the big data technology is the high influence it will have on smart cities of the future or smarter cities and on citizens' lives (e.g., [5,16,18,20,54,73,79,83,104,124]).”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [104]
Cites
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Smart sustainable cities of the future: An extensive interdisciplinary literature review
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Big data analytics in E-commerce: a systematic review and agenda for future research
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An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia
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- Authors
- Pantelis, K., & Aija, L.
- Venue
- 2013 IEEE International Conference on Big Data
- Publisher
- IEEE
- Published
- 2013-10
- Pages
- 38-42
- OpenAlex
- W2089221846
- Cited by
- 121
- References
- 9
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 7 · 2022: 4 · 2021: 27 · 2020: 23 · 2019: 18 · 2018: 10 · 2017: 9 · 2016: 9 · 2015: 3 · 2014: 2
- FWCI
- 24.32
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Big Data (BigData) (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/K039504/1)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Social Sciences › Decision Sciences › Information Systems and Management › Technology's Impact on Media
- Keywords
- big data, data value, data pricing, data economics, data taxonomy, data access rights, common-pool resources, data ownership
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