Role of Big Data in Social Development: A Literature Review

This report describes the role of Big Data in social management, ethics, and legal policies. It explains Big Data approaches to manage different operations and business processes of an organization. It also highlights the advantages of Big Data in different applications such as data analytics, health, education, research, and many others.

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Introduction:
This report will include three IEEE paper, which are based on the big data and its uses in social
development. In this report, it will describe about the role of the Big Data in social management,
ethics, and legal polices. Big data allows different application softwares to data analytics based
on the suitable data sets. IoT technologies are required help of big data to manage their data from
different sources in a proper symmetric way. It will explain about the Big Data and its role to
manage different things in better way with highest benefits to the organizations and consumers.
In this report, it will explain about the Big Data approaches to manage different operations and
business processes of an organization. It will described about the Big Data and its advantages in
different applications, such as, data analytics, health, education, research, and many other things.
Literature Review:
Bhushan, A., 2014. Fast data, slow policy: Making the most of disruptive innovation. SAIS
Review of International Affairs, 34(1), pp.93-107.
In this article, author has described about the big data and international affairs policies for
disruptive innovation in different industries using big data and open data. It has explained about
the three things, which are real-time macroeconomic analysis, poverty measurement, and
humanitarian response in this article. It has described about the disruptive innovation, which is a
business school concept. It has provided many examples of disruptive innovations, such as
Netflix, Amazon, and Skype. It has explained that how big data and open data are disrupting
international affairs. In this article, time and speed are two key elements in the disruptive
innovation. It has described about the policy entrepreneur role in disruption (Bhushan, 2014).
Gupta, A., Deokar, A., Iyer, L., Sharda, R. and Schrader, D., 2018. Big data & analytics for
societal impact: Recent research and trends. Information Systems Frontiers, 20(2), pp.185-194.
This article has described about the big data analytics role in societal growth based on the recent
research and trends. There are many recent emerging technologies, which are making a huge
impact on the growth of society, such as IoT (Internet of Things). It has explained about the open

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data sources, data transparency, and smartphone device usage. It has described about the
information generated by human and machines (Gupta, et al., 2018). Big Data is a technology
that makes several changes in the thinking of developers and designers. Big data analytics also
faces transformation issues in many business processes. It is a challenge in front of big data
analytics to manage data flow in different business processes (Baesens, et al., 2016).
White, G., Ariyachandra, T. and White, D., 2017. Big Data, Ethics, and Social Impact Theory-A
Conceptual Framework. Journal of Management & Engineering Integration, 10(1), pp.22-28.
This article is based on the big data, ethics, and social impact theory in which it has described
about a conceptual framework. According to authors, big data is a disrutive technology, which
has a poer to change an existing inddutry. Big data can be used in different fields, such as
government, finance, education, and retails. It has expalined about the social impact theroy and
its laws, which are social force, multiplication or division of impact, and psychosocial law
(White, et al., 2017). In addition, big data analytics is highly used in the business intelligence
(BI) for changes in marketing strategies, which is beneficial for growth of the organization
(Chen, et al., 2012).
Sun, Y., Song, H., Jara, A. J. & Bie, R., 2016. Internet of things and big data analytics for smart
and connected communities. IEEE access, Volume 4, pp. 766-773.
According to (Sun, et al., 2016), smart and connected communities (SCC) is a unified framework
for smart cities. IoT technologies and architecture can make it possible to convert cities in the
smart cities. Big data analytics and IoT applications provides opportunities to secure culture. It
provides a different way to secure different things with the help of technologies. Cyber-physical
Systems (CPS) can be used for security of different things, which are important for SCC. The
main reason behind the creation of SCC is to provide privacy and security as well as
preservation, livability, sustainability, and revitalization. IoT and Big Data analytics are suitable
technologies for the smart cities. Big data and data warehouses are base of all the smart cities. It
provides proper data sets using deep learning processes. Big data is also helpful in privacy and
security different things, which are important from profit point of view (Cuzzocrea, 2014). Big

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data analytics are very helpful for sustainable development in many processes at different places.
Big data analytics provides help in the management of pharmaceutical management. They have
many combinations and research about the medications. Therefore, they require large amount of
data from previous researches and it provides proper data sets as per requirement (Hernandez &
Zhang, 2017). Smart city is a biggest example of this thing. It will explain about the Big Data
and its role to manage different things in better way with highest benefits to the organizations
and consumers. It has described about the role of big data in different applications, such as smart
city, business, health, education, and many others. It is best way to manage different processes
using the proper decision-making.
Conclusion:
In this report, it has described about the role of big data in different applications, such as smart
city, business, health, education, and many others. Finally, it is concluded that big data is highly
required for different applications, which are having large amount of data, such as smart city,
smart home, and many others.

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References
Baesens, B. et al., 2016. TRANSFORMATIONAL ISSUES OF BIG DATA AND ANALYTICS
IN NETWORKED BUSINESS. MIS quarterly, 40(4), pp. 1-14.
Bhushan, A., 2014. Fast data, slow policy: Making the most of disruptive innovation. SAIS
Review of International Affairs, 34(1), pp. 93-107.
Chen, H., Chiang, R. H. & Storey, V. C., 2012. Business intelligence and analytics: from big
data to big impact. MIS quarterly, pp. 1165-1188.
Cuzzocrea, A., 2014. Privacy and security of big data: current challenges and future research
perspectives.. Shanghai, ACM, pp. 45-47.
Gandomi, A. & Haider, M., 2015. Beyond the hype: Big data concepts, methods, and analytics.
International Journal of Information Management, 35(2), pp. 137-144.
Gupta, . A. et al., 2018. Big data & analytics for societal impact: Recent research and trends.
20(2), 185-194.. Information Systems Frontiers, 20(2), pp. 185-194.
Hashem, . I. A. T. et al., 2016. The role of big data in smart city. International Journal of
Information Management, 36(5), pp. 748-758.
Hernandez, I. & Zhang, Y., 2017. Using predictive analytics and big data to optimize
pharmaceutical outcomes.. American Journal of Health-System Pharmacy, 74(18), pp. 1494-
1500.
Kanavos, A., Iakovou, S., Sioutas, S. & Tampakas, V., 2018. Large Scale Product
Recommendation of Supermarket Ware Based on Customer Behaviour Analysis. Big Data and
Cognitive Computing, 2(2), p. 11.
Kitchin, R., 2014. The real-time city? Big data and smart urbanism. GeoJournal, 79(1), pp. 1-14.

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Rathore, M. M., Ahmad, A., Paul, A. & Rho, S., 2016. Urban planning and building smart cities
based on the internet of things using big data analytics. Computer Networks, 101(1), pp. 63-80.
Sun, Y., Song, H., Jara, A. J. & Bie, R., 2016. Internet of things and big data analytics for smart
and connected communities. IEEE access, Volume 4, pp. 766-773.
VANTAZ, 2014. Big Data Analytics : the Hottest Disruptive Technology in Mining Right Now?.
[Online]
Available at: https://vantaz.com/big-data-analytics-hottest-disruptive-technology-mining-right-
now/
White, G., Ariyachandra, T. & White, D., 2017. Big Data, Ethics, and Social Impact Theory-A
Conceptual Framework. Journal of Management & Engineering Integration, 10(1), pp. 22-28.