Ethical Dimensions of Big Data in E-Commerce: A UAE Perspective

This case study delves into the ethical issues arising from the use of big data in e-commerce companies operating in the UAE. It examines these issues through the lens of five moral dimensions: information rights and obligations, property rights and obligations, accountability and control, system quality, and quality of life. The study identifies key ethical concerns such as lack of transparency in transactions, data privacy breaches, and data ownership disputes. It further provides examples of how these dimensions manifest in the UAE context, referencing consumer rights, data security measures, and sustainability efforts. The study concludes by outlining a process for mitigating these ethical issues, which includes issue identification, data gathering, resource allocation, and the development of ethical action plans. The aim is to promote responsible and ethical use of big data within the UAE's e-commerce sector.

Ethical Issues in
Information System in UAE
Name of the Student
Name of the University

Introduction
 Information system is a formal and socio
technical system that helps in different
activities of information.
 There are several technologies that have
involved IS, such as big data.
 The technology of big data is often used in
an electronic commerce company to reduce
their existing issues related to data
management (Akter & Wamba, 2016).

Ethical Issues raised by the Big
Data in E-Commerce
There are few ethical issues that are present as per 5 moral
dimensions. These 5 moral dimensions in popular UAE based e-
commerce company are:
 Information Right and Obligation.
 Property Right and Obligation.
 Accountability and Control.
 Quality of the System.
 Quality of Life.

Ethical Issues Contd..
The major ethical issues that are common
for big data in an e-commerce company
are as follows:
 Lack of Transparency in Transactions.
 Lack of Privacy of Data.
 Data Ownership (Fan, Lau & Zhao, 2015).
 Taking Consent for using Data.
 Openness of Data.

Examples of Five Moral Dimensions in
UAE Information Rights and Obligations: UAE
government has included different consumer rights
and authorities for e-commerce companies.
 Property Rights and Obligations: The property
rights allow the customers to secure their confidential
data successfully though legal help.
 Accountability and Control: The accountability and
control of the transactions is being maintained
properly in UAE (Laudon & Traver, 2016).
 System Quality: The quality of systems is
maintained for ensuring that UAE is reducing the
chance of data loss and theft.
 Quality of Life: UAE government has also ensured
that the products are sustainable.

Discussion for reducing Ethical Issues in Big
Data within E-Commerce
The ethical issues in big data for e-commerce companies
could be eradicated after executing a proper process and
this process is as follows:
 Identification of the Issue: The respective ethical
issue in the business is required to be identified properly
for taking suitable actions.
 Gathering Relevant Data: The second step is to gather
relevant data regarding data management progress.
 Understanding the Issue: The issue is to be
understood properly for proper execution of process.

Discussion Contd..
 Identification of Resources: The organizational
resources are required to be identified properly, so that
the management is able to take proper steps.
 Identification of People having Power and
Control: Different people are also needed to be
identified with power and control.
 Making a List of Possible Actions with their
Consequences: A specific list of actions is to be made
for understanding the positive and negative
consequences (Suguna, Vithya & Eunaicy, 2016).
 Making a Plan for Ethically Meeting the
Requirements: The requirements are to be met
properly and ethically.

Conclusion
Therefore, it can be concluded that big
data is a significant and important
technology in e-commerce companies in
UAE.
Different ethical issues are identified for
an e-commerce company, so that better
effectiveness is gained.

References
Akter, S., & Wamba, S. F. (2016). Big data analytics in E-
commerce: a systematic review and agenda for future
research. Electronic Markets, 26(2), 173-194.
Fan, S., Lau, R. Y., & Zhao, J. L. (2015). Demystifying big
data analytics for business intelligence through the lens
of marketing mix. Big Data Research, 2(1), 28-32.
Laudon, K. C., & Traver, C. G. (2016). E-commerce:
business, technology, society.
Suguna, S., Vithya, M., & Eunaicy, J. C. (2016, August).
Big data analysis in e-commerce system using
HadoopMapReduce. In 2016 International Conference on
Inventive Computation Technologies (ICICT) (Vol. 2, pp.
1-6). IEEE.