Inference of big data on M-commerce Name of the University Author

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Running head: INFERENCE OF BIG DATA ON M-COMMERCE
Inference of big data on M-commerce
Name of the Student
Name of the University
Author Note:

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INFERENCE OF BIG DATA ON M-COMMERCE
Table of Contents
1. Overview and significance of the proposed study.......................................................................3
1.1 Rational of the paper..............................................................................................................3
2. Research Aim and Objectives......................................................................................................4
2.1 Objectives..............................................................................................................................4
3. Relevant literature........................................................................................................................5
4. Research Design..........................................................................................................................8
5. Research Methodology................................................................................................................8
5.1 Philosophy.............................................................................................................................8
5.2 Research methods..................................................................................................................8
5.3 Data collection methods........................................................................................................9
5.4 Data Sampling.......................................................................................................................9
5.5 Data Analysis method............................................................................................................9
6. Ethical issues...............................................................................................................................9
7. Risk Consideration.....................................................................................................................10
8. Assumed Outcomes...................................................................................................................10
9. Implications...............................................................................................................................10
10. Timeframe................................................................................................................................11
13. Reference.................................................................................................................................12

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INFERENCE OF BIG DATA ON M-COMMERCE
1. Overview and significance of the proposed study:
The paper will be highlighting the importance of the application of big data analysis in
mobile commerce in the city of Abu Dhabi, UAE. Roadmap to the success of the business
organization needs effective planning. The prime challenges faced by the consumers of the
business organizations are issues such as responsiveness of the mobile devices used by the
consumers (Manogaran, Thota & Lopez, 2018). The business risks associated to those business
organizations increase due to the exposure which is the natural outcome of the incorporation of
big data. Being just a subset of e-commerce, mobile commerce also helps in entailing the
business transactions. The customer relationship management is the main enterprise perspectives
of the enterprises in Abu Dhabi as it involves the issues which are created due to the application
of big data analysis in m-commerce. Segmentation of the structured and the unstructured data is
one of the prime limitations of the implications of the big data on mobile commerce (Yang et al.,
2017). The inference of the big data in mobile commerce requires experienced professionals
which is a big challenge for the business organizations as dedicated professionals are not always
available, and separate investments are required from the management teams of those business
organizations which is again an issue considering the growth and progress of those business
organizations.
1.1 Rational of the paper
The selected topic is very much appealing as we can understand the advantages and the
disadvantages associated with the application of big data analysis in the m-commerce in Abu
Dhabi. The security and privacy of the primary data should be maintained in order to maintain
the effectiveness of the paper. The paper will be evaluating some of the key issues related with
the implication of the big data analysis on mobile commerce in Abu Dhabi. Most of the global

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business organizations in Abu Dhabi uses mobile commerce in business environments (Baesens
et al., 2016). Computed mediated environment are used for managing the business processes in
those global business organizations. Primary retail, sales, travel advertisement proximity
payments are the main process which involves the use of big data on mobile commerce. This
paper will be evaluating the advantages as well as the disadvantages associated with the
implication of big data in mobile commerce. The paper will be very much effective for the
readers as it will consider the opinion of the employees who are working across the business
organizations on the use of big data analysis in the m-commerce (Cai et al., 2017). The intention
and the expectations of the stakeholders of those business organizations will be presented in the
paper in a way so that it will be useful to comprehend the impact of the big data analysis in
mobile commerce. The privacy and the security issue associated with inference of big data on m-
commerce will be also highlighted in the paper.
2. Research Aim and Objectives:
The foremost determination of the paper is to evaluate the inference of big data analytics
in m0commerce. The use of big data analysis in m-commerce has both advantages and
disadvantages associated with it. The paper will be evaluating both the benefits and the
limitations in a detailed manner. The importance of the big data analytics in m-commerce in the
commercial corporations in Abu Dhabi will be considered in a detailed way in the paper.
2.1 Objectives
 To understand the application of big data analytics in m-commerce.
 To inspect the advantages and disadvantages of big data in m-commerce.

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 Analyse the major challenges faced by organizations using big data in their working
environment.
3. Relevant literature
As discussed by Eastin et al. (2016), the business organizations operating in the United
Arab Emirates use both structured and unstructured data in online and offline modes for their
consumers. The extensive development in the field of data science has led to the growth of the
incorporation of big data in mobile commerce. Researcher of the paper focuses on the handling
of the data in an effective and professional manner as data are considered as an asset in most of
those business organizations (Ma, Nie & Lu, 2015). Data in those organization should be
properly stored and managed as the growth and progress of the business organizations depends
on those data. The researcher of the paper provided in-depth knowledge about the usage in the
mobile devices by the internal and the external stakeholders of the business such as the
management team and the consumers of the organization (Laudon & Traver, 2016). The
researcher focussed on the improvement of the customer service using big data analytics. The
researcher stated that understanding the customers is important for any kinds of business and big
data analytics plays a huge protagonist in the understanding the opinion of the consumers.
Predictive monitoring in the business industries of Abu Dhabi is well supported by the use of the
data analytics. There are different types of transactions associated with the business
organizations in Abu Dhabi which are managed with the help of a centralized platform which
have big data integrated into the platform, any kinds of fraudulent activities can be tracked easily
using big data (Sun et al., 2016). Identification of the risks associated with the transactions is
also done with the help of the big data. The researcher has well placed the limitations associated
with the advancements of big data in the m-commerce. The researcher stated that most of the

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stakeholders of the business organizations used their mobile devices for business purposes (Fan,
Lau & Zhao, 2015). Business facts is discussed in the paper in a detailed manner which is very
much important to comprehend the role of the big data in mobile commerce (Hashem et al.,
2016). The researcher also stated the growth of the business corporations over the years due to
the inference of big data in mobile commerce.
According to Wamba et al. (2015), most of the business organizations in the middle east
Asian countries uses big data analytics in their business environments to deal with the different
types of data which are circulated inside or outside the organization. Validation of the data
coming from important stakeholders are done with the help of the big data as validations are
required to ensure reliability in the business processes (Deng, Gao & Vuppalapati, 2015). The
researcher of the organizations stated that big data analytics play a huge role in improving
mobility in different business operations in the global industries of Aby Dhabi. Along with that,
the researcher provided important details about the business perspective of the big data analytics.
Technological innovations are the main business perspective of business organizations (Riggins
& Wamba, 2015). Analyzation of the big data is very much important for business organizations
which is done with the help of the virtual reality. The researcher of the paper stated about the
importance of the revolutions in the mobile commerce (Eastin et al., 2016). The offline and the
online stores of business organizations of Abu Dhabi uses big data analysis in their business
environments to improve their existing business processes. Importance of digital maintenance in
global corporations is stated in a professional way in this paper. The paper was very much useful
to understand different aspects of big data analytics in mobile shopping, mobile banking and
mobile payments (Lv et al., 2017). The researcher also provided the limitations associated using
big data in mobile commerce. A constant need for optimization is required for most of the big

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data organizations. The researcher stated that the needs and requirements of the consumers of the
global industries in Abu Dhabi keep on changing with time which is the main reason behind the
need of frequent optimization. The researcher of the paper stated the importance of the payment
options such as the mobile wallets which are managed using big data. Comparison of the prices
of the products and service offered by the business organizations of Abu Dhabi are done by the
consumers which involve the application of the big data analytics. Traditional ways of shopping
are getting outdated and advanced technologies are being incorporated in the business
organizations in UAE which works mostly with big data (Doorey, Wilcox & Eastin, 2017). The
researcher of the paper focuses on the benefits of mobile commerce in terms of customer
retention. The paper is very much helpful to understand how and why big data is being used in
the business organizations in Abu Dhabi (Bello-Orgaz, Jung & Camacho, 2016). The mobile
commerce is very much important for both the point of view of the management team as well as
the stakeholders of the organization such as the clients. One unit of the paper addresses the other
technologies associated with the use of mobile commerce such as the Wireless Application
Protocol (WAP). The development of the banking and the accounts sector in the business
organizations is possible with the help of the mobile commerce, the researcher provided the
details of the brokerage services with the help of the mobile commerce. The limitations
associated with the use of m-commerce like the issue of over dependency on mobile devices are
also focussed by the researchers (Akter & Wamba, 2017). There are few privacy and security
issues associated with the application of the mobile commerce by the clients of the business
organizations as they involve a couple of thirds party applications who can have the admission to
the data of the consumers.
4. Research Design

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Effectiveness of the paper will be maintained with the help of three types of design
techniques such as the exploratory design, explanatory design and descriptive design. The
exploratory approach will be useful as this paper can be used as a resource for the future
researches related to this topic. Explanatory research will be conducted on this topic as it will be
helpful to set the priorities of the current project which is to increase the application of big data
in the mobile commerce (Skourletopoulos et al., 2017). The depiction of the participants is done
with the help of the descriptive design., the views and opinions of the consumers of the
organization is done with the help of the descriptive design technique.
5. Research Methodology
5.1 Philosophy
The two categories of research philosophy which will be used in this paper is the
interpretivism and positivism. Interpretivism is useful as it considers what is good for the society
and the interpretivism depends upon the role of the scholar which is presented in the literature
review unit of the paper. Scientific quantitative methods will be selected for this research
philosophy technique as reliability will be maintained in the end results of the paper.
5.2 Research methods
The effectiveness of the paper will be maintained with the help of both the qualitative
data collection method where data will be collected from experienced professionals working in
global organizations in Abu Dhabi. The data collected the quantitative data is from the scholarly
articles as provided in the literature review unit of the paper.

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5.3 Data collection methods
The paper can be used in future projects so in order to maintain its high standards both
primary and secondary data will be considered in this paper. Primary data will be collected from
the experienced professionals and secondary data from the peer-reviewed articles. Along with
that, both the quantitative and qualitative data will be considered in this paper.
5.4 Data Sampling
Two types of methods are selected in this research paper. The statistical scrutiny of the
primary data will be done with the help of the data sampling technique. Likelihood testing
strategy and the non-likelihood examinations procedures will be the two inspection techniques
used in the data sampling. Both the two kinds of sampling techniques will be applied in this
paper. The choice of the populace for the review will be done using the likelihood testing
strategy and the non-likelihood testing strategy will be used for selecting the prime stakeholders
of this project.
5.5 Data Analysis method
Two types of data are considered in this research proposal which is the primary data and
the secondary data. The primary data collected from the experienced professionals will be treated
as the qualitative data, this data will be treated as the critical thinking and it will be compared
with the secondary data collected from the literature review unit of the paper. The data obtained
from the quantitative data will be analysed with the help of the statistical analysis tools of the
MS Excel software.
6. Ethical issues

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The ethical considerations of this paper revolve around the security of the collected
primary and secondary data. Credentials have to be given to the source of both the two types.
The opinion of the respondents of the business organizations of Abu Dhabi needs to be kept
private considering the Data Protection Act of 1998 and they should not be interfered while they
are addressing their opinions of the topic in their questionnaires. The respondents should be
given privacy during the enquiries. None of the members should be forced to make any kinds of
statements. The respondents should be well aware of the use of the big data in mobile commerce,
and the respondents do not need to clarify their opinions about their views.
7. Risk Consideration
There are different types of risks associated with this project such as the funds required
for the project. The other risk associated with the research is the handling of the data which is
collected from the primary and the secondary sources. Security of the respondents and reliability
should be maintained under every circumstance so that the uniqueness of the assignment is
maintained.
8. Assumed Outcomes
The paper will be very much useful to understand the impact of the big data in the
different commercial perspectives of the global business corporations of Abu Dhabi. This paper
can be used in the future assignments as it the data collected from both the sources are extremely
reliable. The reliability can be understood from the peer-reviewed articles and the statistical tools
(Wang, Chen & Wang, 2015). The limitations of the big data are not highlighted in the most of
the research paper but this paper highlights both the benefits and limitations of the use of big

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data in mobile commerce. Challenges faced by the employees using big data can be also
understood with the help of this paper.
9. Implications
Based on the discoveries of the paper it can be suggested that the application of the
application of the big data in bigger organizations in Abu Dhabi should be done with the help of
efficient planning from a dedicated IT professional who knows each details of the big data in
mobile commerce.
10. Timeframe
Activity Months
Jan
2019
July
2019
Jan
2020
July
2020
Jan
2021
July
2021
Jan
2022
Choosing topic 
Collection of data  
Planning the research 
Literature review   
Designing research  
Research methodology  
Data collected from professionals  
Data analysis  

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Reviewing data analysis 
Concluding the Study 
Designing draft  
Submission  
Table 2: Timeline of Research
(Source: Created by the author)

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13. Reference
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agenda for future research. Annals of Operations Research, 1-21.
Baesens, B., Bapna, R., Marsden, J. R., Vanthienen, J., & Zhao, J. L. (2016).
TRANSFORMATIONAL ISSUES OF BIG DATA AND ANALYTICS IN
NETWORKED BUSINESS. MIS quarterly, 40(4).
Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016). Social big data: Recent achievements and
new challenges. Information Fusion, 28, 45-59.
Cai, H., Xu, B., Jiang, L., & Vasilakos, A. V. (2017). IoT-based big data storage systems in
cloud computing: Perspectives and challenges. IEEE Internet of Things Journal, 4(1), 75-
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Deng, L., Gao, J., & Vuppalapati, C. (2015, March). Building a big data analytics service
framework for mobile advertising and marketing. In Big Data Computing Service and
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Doorey, A. M., Wilcox, G. B., & Eastin, M. S. (2017). Consumer Privacy and the New Mobile
Commerce. The Dark Side of Social Media: A Consumer Psychology Perspective.
Eastin, M.S., Brinson, N.H., Doorey, A. and Wilcox, G., 2016. Living in a big data world:
Predicting mobile commerce activity through privacy concerns. Computers in Human
Behavior, 58, pp.214-220.

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INFERENCE OF BIG DATA ON M-COMMERCE
Eastin, M.S., Brinson, N.H., Doorey, A. and Wilcox, G., 2016. Living in a big data world:
Predicting mobile commerce activity through privacy concerns. Computers in Human
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Fan, S., Lau, R. Y., & Zhao, J. L. (2015). Demystifying big data analytics for business
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Laudon, K. C., & Traver, C. G. (2016). E-commerce: business, technology, society.
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