research-article

A Strategic Perspective on Big Data Driven Socioeconomic Development

Authors:

Zhiyou WuAuthors Info & Claims

ICBDR '21: Proceedings of the 5th International Conference on Big Data Research

Pages 35 - 41

https://doi.org/10.1145/3505745.3505751

Published: 06 March 2022 Publication History

Abstract

Big data and big data technology have been revolutionizing our work, lives, and society. Socioeconomic development has become a hot topic for academia, industries, organizations, and governments. This paper will examine big data-driven socioeconomic development from a strategic perspective. More specifically, this paper explores the importance of big data by looking at the big characteristics (10 Bigs) of big data. This paper presents a GDDP (gross domestic data products) as a GDP-like data metric for measuring economic performance and social progress. It proposes a strategic model for big data-driven socioeconomic development, which is supported by big data-driven technologies, services, economies, and societies. This research demonstrates that big data-driven SMACS (i.e., social, mobile, analytics, cloud, and service) technologies, services, economies, and societies underpin the big data-driven socioeconomic development. The proposed approach in this paper might facilitate the research and development of big data, big data analytics, socioeconomic development, artificial intelligence (AI), and digital society.

References

[1]

Z. Sun and A. Stranieri, "The Nature of Intelligent Analytics," in Intelligent Analytics with Advanced Multi-industry Applications, Hershey, IGI-Global, 2021, pp. 1-22.

[2]

Z. Sun, L. Sun and K. Strang, "Big Data Analytics Services for Enhancing Business Intelligence," Journal of Computer Information Systems, vol. 58, no. 2, pp. 162-169, 2018.

[3]

C. Holsapple, A. Lee-Postb and R. Pakath, "A unified foundation for business analytics," Decision Support Systems, vol. 64, p. 130–141, 2014.

Digital Library

[4]

G. Peters and A. D. Duncan, "100 Data and Analytics Predictions Through 2024," 2020. [Online]. Available: https://emtemp.gcom.cloud/ngw/globalassets/en/doc/documents/721868-100-data-and-analytics-predictions-through-2024.pdf. [Accessed 4 March 2021].

[5]

G. Miladinov, "Socioeconomic development and life expectancy relationship: evidence from the EU accession candidate countries," Genus, vol. 76, no. 2, 2020.

[6]

UNDP, Human Development Report 2020, New York, NY: The United Nations Development Programme, 2020.

[7]

L. Pappalardo, D. Pedreschi, Z. Smoreda, and F. Giannotti, "Using big data to study the link between human mobility and socio-economic development," in 2015 IEEE International Conference on Big Data, 2015.

[8]

Z. Sun, K. Strang and R. Li, "Big data with ten big characteristics," in Proceedings of 2018 The 2nd Intl Conf. on Big Data Research (ICBDR 2018), October 27-29, Weihai, China, 2018.

[9]

K. Borne, "Top 10 Big Data Challenges – A Serious Look at 10 Big Data V's," April 2014. [Online]. Available: https://www.mapr.com/blog/top-10-big-data-challenges-%E2%80%93-serious-look-10-big-data-v%E2%80%99s.

[10]

H. E. Pence, "What is big data and why is it important?," Journal of Educational Technology Systems, vol. 43, no. 2, pp. 159-171, 2015.

[11]

B. Kumar, "An encyclopedic overview of big data analytics," International Journal of Applied Engineering Research, vol. 10, no. 3, pp. 5681-5705, 2015.

[12]

A. Sathi, Big data analytics: Disruptive technologies for changing the game, Boise, ID, USA: MC Press: IBM Corporation, 2013.

[13]

C. P. Chen and C.-Y. Zhang, "Data-intensive applications, challenges, techniques, and technologies: A survey on Big Data," Information Sciences, vol. 275, p. 314–347, 2014.

[14]

A. McAfee and E. Brynjolfsson, "Big data: The management revolution," Harvard Business Review, pp. 61-68, 2012.

[15]

IBM, "The Four V's of Big Data," 2015. [Online]. Available: http://www.ibmbigdatahub.com/infographic/four-vs-bigdata.

[16]

S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach (3rd edition), Prentice Hall, 2010.

Digital Library

[17]

Z. Sun, L. Sun and K. Strang, "Big data analytics services for enhancing business Intelligence," Journal of Computer Information Systems, vol. 58, no. 2, pp. 162-169, 2018.

[18]

M. Payton, "Google wants to bring free wifi to the world and its starting now" 25 June 2015. [Online]. Available: http://metro.co.uk/2015/06/25/google-wants-to-bring-free-wifi-to-the-world-and-its-starting-now-5265352/. [Accessed 12 August 2016].

[19]

M. Minelli, M. Chambers, and A. Dhiraj, Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses, Wiley & Sons, 2013.

Digital Library

[20]

Z. Sun and Y. Huo, "The spectrum of big data analytics," Journal of Computer Information Systems, vol. 61, no. 2, pp. 154-162, 2021.

[21]

R. Sharda, D. Delen and E. Turba, Business Intelligence and Analytics: Systems for Decision Support (10th Edition), Boston, MA: Pearson, 2018.

[22]

P. B. Goes, "Big Data and IS Research," MIS Quarterly Vol. 38 No. 3/September, pp. iii-viii, 2014.

[23]

Tableau, "Top 10 Big Data Trends," 2017. [Online]. Available: https://www.tableau.com/resource/top-10-big-data-trends-2017. [Accessed 6 July 2021].

[24]

D. Loshin, Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL and Graph, Amsterdam: Elsevier, 2013.

[25]

Statista, "Revenue from big data and business analytics worldwide from 2015 to 2022 (in billion U.S. dollars)," 2021. [Online]. Available: https://www.statista.com/statistics/551501/worldwide-big-data-business-analytics-revenue/. [Accessed 7 July 2021].

[26]

J. E. Stiglitz, J.-P. Fitoussi and M. Durand, "OECD: Beyond GDP Measuring What Counts for Economic and Social Performance and For Good Measure Advancing Research on Well-being Metrics Beyond GDP," OECD Publishing, Paris, France, 2018.

[27]

World Population Review, "GDP Ranked by Country 2021," 2021. [Online]. Available: https://worldpopulationreview.com/countries/countries-by-gdp. [Accessed 10 July 2021].

[28]

IMF, "World Economic Outlook database," International Monetary Fund, April 2021. [Online]. Available: https://www.imf.org/en/Publications/WEO/weo-database/2021/April/. [Accessed 11 July 2021].

[29]

World Bank, "DGP (Current US$) in 2020," 2021. [Online]. Available: https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?year_high_desc=true. [Accessed 11 July 2021].

[30]

UNstats, "Basic Data Selection," December 2020. [Online]. Available: https://unstats.un.org/unsd/snaama/Basic. [Accessed 11 July 2021].

[31]

UNDP, "Human Development Index (HDI) Ranking," 2020. [Online]. Available: http://hdr.undp.org/en/content/latest-human-development-index-ranking. [Accessed 10 July 2021].

[32]

A. D. Sagar and A. Najam, "The human development index: a critical review," Ecological Economics, vol. 25, no. 3, pp. 249-264, 1998.

[33]

D. Howdle, "Worldwide mobile data pricing 2021," 2021. [Online]. Available: https://www.cable.co.uk/mobiles/worldwide-data-pricing/. [Accessed 11 July 2021].

[34]

S. Sergiu, "A blockchain-based system for decentralized curation of Finance 4.0 tokens: Master's Thesis," 2019.

[35]

D. Xiao, X. Kuang and K. Chen, "E-commerce supply chain decisions under platform digital empowerment-induced demand," Computers & Industrial Engineering, vol. 50, article no. 106876, 2020.

[36]

I. Yaqoob, "Blockchain for Digital Twins: Recent Advances and Future Research Challenges," IEEE Network, vol. 34, no. 5, pp. 290-298, 2000.

[37]

L. Baker and T. Schwanen, "Big Data-Driven Transport Planning and Governing in the Postcolonial ‘Smart City’: A Case Study of Bangalore," 2021. [Online]. Available: https://www.peak-urban.org/project/big-data-driven-transport-planning-and-governing-postcolonial-smart-city-case-study. [Accessed 14 July 2021].

[38]

D. Riemer, L. Stojanovic and N. Stojanovic, ""SEPP: Semantics-Based Management of Fast Data Streams," in 2014 IEEE 7th International Conference on Service-Oriented Computing and Applications, 2014.

[39]

B. A. Spears, "Using Technology to Promote Mental health and Wellbeing in Children and Young People," International Journal of Emotional Education, vol. 10, no. 1, pp. 1-4, 2018.

[40]

F. Felici and E. Nicosia, "The Credibility Legacy," LUISS School of European Political Studies, 2019.

[41]

C. S. Penn, "Understanding the Google Analytics Ecosystem," 4 Oct 2016. [Online]. Available: https://www.christopherspenn.com/2016/10/understanding-the-google-analytics-ecosystem/. [Accessed 17 February 2021].

[42]

N. Roztocki, P. Soja and H. R. Weistroffer, "The role of information and communication technologies in socioeconomic development towards a multi dimensional framework," Information Technology for Development, vol. 25, no. 2, pp. 171-183, 20

Cited By

Narongou DSun Z(2023)Enhancing Airport Business Services Using Big Data AnalyticsHandbook of Research on Driving Socioeconomic Development With Big Data10.4018/978-1-6684-5959-1.ch005(104-127)Online publication date: 24-Feb-2023
https://doi.org/10.4018/978-1-6684-5959-1.ch005
Sun ZWu ZStrang K(2023)Big Data-Driven Socioeconomic DevelopmentHandbook of Research on Driving Socioeconomic Development With Big Data10.4018/978-1-6684-5959-1.ch001(1-21)Online publication date: 24-Feb-2023
https://doi.org/10.4018/978-1-6684-5959-1.ch001
Narongou DSun Z(2022)Applying Intelligent Big Data Analytics in a Smart Airport BusinessHandbook of Research on Foundations and Applications of Intelligent Business Analytics10.4018/978-1-7998-9016-4.ch010(216-237)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-9016-4.ch010

Recommendations

Responsible Big Data Analytics for E-Business Services
ICBDR '21: Proceedings of the 5th International Conference on Big Data Research

This paper examines responsible big data analytics for e-business services and looks at how to use responsible big data analytics to obtain responsible e-business services. It addresses why responsibility matters to big data analytics and e-business ...
Big Data with Ten Big Characteristics
ICBDR '18: Proceedings of the 2nd International Conference on Big Data Research

This paper reveals ten big characteristics (10 Bigs) of big data and explores their non-linear interrelationships through presenting a unified framework of big data. The framework has three levels: fundamental level, technological level, and socio-...
A Brief Survey on Big Data in Healthcare

This article presents a brief introduction to big data and big data analytics and also their roles in the healthcare system. A definite range of scientific researches about big data analytics in the healthcare system have been reviewed. The definition ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

ICBDR '21: Proceedings of the 5th International Conference on Big Data Research

September 2021

54 pages

ISBN:9781450384339

DOI:10.1145/3505745

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2022

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICBDR 2021

ICBDR 2021: 2021 the 5th International Conference on Big Data Research

September 25 - 27, 2021

Tokyo, Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
73
Total Downloads

Downloads (Last 12 months)13
Downloads (Last 6 weeks)0

Reflects downloads up to 23 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Narongou DSun Z(2023)Enhancing Airport Business Services Using Big Data AnalyticsHandbook of Research on Driving Socioeconomic Development With Big Data10.4018/978-1-6684-5959-1.ch005(104-127)Online publication date: 24-Feb-2023
https://doi.org/10.4018/978-1-6684-5959-1.ch005
Sun ZWu ZStrang K(2023)Big Data-Driven Socioeconomic DevelopmentHandbook of Research on Driving Socioeconomic Development With Big Data10.4018/978-1-6684-5959-1.ch001(1-21)Online publication date: 24-Feb-2023
https://doi.org/10.4018/978-1-6684-5959-1.ch001
Narongou DSun Z(2022)Applying Intelligent Big Data Analytics in a Smart Airport BusinessHandbook of Research on Foundations and Applications of Intelligent Business Analytics10.4018/978-1-7998-9016-4.ch010(216-237)Online publication date: 2022
https://doi.org/10.4018/978-1-7998-9016-4.ch010

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Figures

Tables

Media

View Table of Conten