BTEC Research Project: Digital Technologies and SME's in the UK - Nisa

This research project investigates the implications of digital technologies, especially artificial intelligence, on small and medium-sized enterprises (SMEs) in the UK, with a specific focus on Nisa retailers. The research aims to analyze AI's impact on driving innovation within these retail businesses. The objectives include assessing the importance of innovation, evaluating digital technology factors that drive innovation, determining AI's use in Nisa retailers, and recommending effective measures for innovation. The methodology employs an inductive, descriptive research design with primary data collection, purposive sampling, and an interpretivism philosophy. The findings reveal key themes, including employee experience, awareness of innovation benefits, the impact of innovation on logistics and delivery, the preference for AI and IoT, and the perceived contribution of AI. The research concludes with the importance of AI in quick delivery of products and services. The study uses qualitative analysis and includes references to support its findings. The data analysis is based on the responses of the employees of Nisa Retailers.

Topic
The implications of digital technologies
on SME’s.
Research Project

Aim
 To analyse the impact of artificial intelligence in driving innovation in retail
businesses of UK- A study on Nisa retailers (SME). .
Objective of research
 To assess the importance of innovation in retail organisations of UK.
 To evaluate the factors of digital technology which tends to drives
innovation in the business.
 To determine the use of artificial intelligence in driving innovation in
Nisa retailers.
 To recommend effective measures of driving innovation by Nisa
retailers through artificial intelligence
Research aims and objectives

Research Methodology
 Research Approach: Inductive
 Research Design: Descriptive
 Data collection: Primary method
 Sampling: Purposive
 Research philosophy: Interpretivism
 Ethical considerations
 Research Limitation: Cost & time
 Analytical Approach: Qualitative
 Reliability & Validity

Theme 1: A large number of respondents are working since more
than 2 years.
From above graph it can
be interpreted that out
of 10 4 respondents are
working with Nisa from
last two years and
others are newly
appointed. They are not
so much experienced. 3
are one year
experienced and single
employee is
experienced above one
year.

Theme 2- Most of the respondents are aware of the benefits of innovation.
It can be interpreted that 6
employees are aware of the
advantages of digital technology
in retail sector while 4 are of
traditional mindset. They believe
in face-to-face communication.
They do not know much about
benefits and usage of
technological system in this
industry.

Theme 3- Majority of the participants have reported an improved
logistics and delivery services as a vital benefit of innovation.
Above graph interprets that majority of
employees believe in improvisation
of logistics department and delivery
services. On the other hand, equal
number of respondents believe that
innovation help in increase
effectiveness of payment services and
personalized products. Nisa has
improved its services through various
apps and electronic devices.

Theme 4: Both AI and IOT are 2 favorable measures of digital technology
by most of the participants.
Above chart interprets that equal
number of employees working in
Nisa are in favor of Artificial
Intelligence and using Internet as
medium of generating customers
and expanding business. On the
other hand, only 2 people are in
favor of social media sites and
cloud computing. Artificial
intelligence is widely used by
retail sector in many areas like
marketing, customer’s
experiences, considering their
preferences etc

Theme 5- Almost all the workers of Nisa retailer possess a neutral
view towards the beneficial contribution of AI in bringing innovation
From the above graph it can be
interpreted that out of majority of
employees feel neutral about AI
as innovative part of today's era
for customers' in Nisa. They
think that AI is neither helpful
nor unreliable for customers. But
2 employees strongly believe in
its services in Nisa.

Theme 7:Quick delivery of products and services have been stated as a
major assistance of AI by most of the respondents.
From the above graph it
can be interpreted that
out of 10 4 employees
of Nisa believe AI in
helping in Quick
delivery of services
and products while
others 3 believe in
bringing good
customer service.

REFERENCES
 Hammersley, M., 2017. Deconstructing the qualitative-quantitative
divide 1. In Mixing methods: Qualitative and quantitative research
(pp. 39-55). Routledge.
 Aveling, E.L., Gillespie, A. and Cornish, F., 2015. A qualitative
method for analysing multivoicedness. Qualitative Research. 15(6).
pp.670-687.
 Kim, E. and et.al., 2018. A Comparison of Qualitative and
Quantitative Assessment of Glaucoma Progression Using Optical
Coherence Tomography. Investigative Ophthalmology & Visual
Science. 59(9). pp.2089-2089.
 Anwar, C. and runi Kusumawarni, W.O., 2018. A Descriptive Analysis
of Young Learners’ Behaviours toward TEFL. Register Journal. 11(1).
pp.79-100.

THANK
YOU