Impact of Digital Disruption on Banking Sector: A Study on Lloyds Banking Group

This research aims to identify the impact of digital disruption on banking sector and its competition, with a focus on Lloyds Banking Group. The study will answer research questions related to digital disruption, technological advances, and the effect of digitalisation on the banking sector of the United Kingdom. The proposed data sources are secondary, and the research methodology includes thematic analysis and a cross-sectional approach. The most relevant and recent quality journal articles are cited in the references.

7BUSS013W-Research Methods in Finance and Accounting-
Topic Form
Full Name: _____________________________________________________
University ID:___________________________________________________
University email address:__________________________________________
Are you retaking the module (Yes/No):_______________________________
PG Course you are in [MSc Finance (Banking); MSc Finance (International Finance); MSc
Finance and Accounting, MSc Investment and Risk Finance]:
Research topic: To identify the impact of digital disruption on banking sector and its
competition: A study on Lloyds Banking Group
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Research Question/s:
Q1. What is the digital disruptive within banking sector?
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Q2. Which are disruptive technological advances impacting the transaction banking industry?
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Q3. How digitalisation affected the banking sector of United Kingdom?
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Brief Literature Review
______According to the Zhang and Nadarajah (2018), digital disruption within the banking
sector is driven by certain factors both on the supply side, mainly technological development
as well as on the demand side. As per the opinion of Hodson (2021), there are different
disruptive digital technologies that are used by banking sector. These are artificial
intelligence (AI), robotics, and blockchain etc. According to the Klarin-Petrina, (2021),
digitalisation is important for banking sector of United Kingdom by improving their business
performance and growth.
Research Methodology (proposed Data Source, proposed Data sample, time period):
Proposed Data Source: There are two sources of data collection such as primary and
secondary. Within this research, secondary sources of data collection are useful. These

sources are books, journals, publication research, magazines etc. All these are effective
sources that would be used for collecting secondary information about the role of VaR (Value
at risk) model in managing financial performance of an organisation (Gorgun and Wolfs,
2021).
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Proposed Data sample: Within this research, data will be gathered from secondary sources
and for evaluating secondary information, there will be a requirement of using research
analytical tool. Thematic analysis will be a selected research analytical tool within this
research.
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Time period: There are two approaches of time horizon such as cross-sectional and
longitudinal. Within this research, cross-sectional approach will be used as it is based on
actual situation and not require maximum time (Yu, Yang, Wei and Lei, 2018). Gantt chart
will be used for identifying the starting and ending dates of each activity. Gantt chart of the
present investigation is shown below;

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References (most relevant, recent, quality journal articles)
____ Zhang, Y. and Nadarajah, S., 2018. A review of backtesting for value at
risk. Communications in Statistics-Theory and methods, 47(15), pp.3616-3639.
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______ Hodson, D., 2021. The politics of FinTech: Technology, regulation, and disruption in
UK and German retail banking. Public Administration. Statistics, 37(1), pp.121-133.
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____ Gorgun, O.A. and Wolfs, B., 2021. Impact of the new digital competitors on Swiss
banking business models. International Journal of Research in Business and Social Science
(2147-4478), 10(2), pp.33-45.
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__ Klarin-Petrina, B., 2021. Digital Banking In Croatia (Doctoral dissertation, University of
Zagreb. Faculty of Economics and Business. Department of Informatics).
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