Digital Supply Chain and the Role of Artificial Intelligence

This report discusses the nature of the relationship between digital technologies and emerging theories of business and management, with a focus on the role of artificial intelligence in the supply chain. It explores the development, uses, and software platforms of AI, and its impact on different sectors such as healthcare, retail, manufacturing, and banking. The report also examines the relationship between digital technology and classical, administrative, contingency, and system theories of management.

DIGITAL SUPPLY CHAIN

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................2
MAIN BODY..................................................................................................................................2
Artificial intelligence...................................................................................................................2
How artificial intelligence developed..........................................................................................2
Description and uses of AI..........................................................................................................3
Software and platforms are used in artificial intelligences..........................................................3
Business tool and software used AI.............................................................................................3
Relationship between digital technology by using theories........................................................4
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
Digital supply chain is the process of advanced technologies that are help for better
inights for functions of each of stakeholder belong to chain and then helps to let the chain for
participants for making better decision on the basis of different sources and material which are
need bys demand of the product and their relations between them (Leonardi, 2020). The topic for
present reports is Artificial intelligences(AI) that is referred as the wide range of system or
machine that are helps for mimic human intelligence in order to perform the task on the basis of
particular information which can be collected. The report discusses on the nature of relationship
between digital technologies on the basis of old new emerging technology. Also, support with
relevant model and theories related to business and management practices.
Artificial intelligence
AI is important because it enables humans capabilities on the basis of reasoning,
understanding, communications , reasoning and planning that are need to bes undertaken by the
software for increasingly efficiently, effectively at the low cost. This is also helps to allow for
make the decision and then improving the business process by increasing the accuracy and
speed of strategic decision-making. This is important for the future because it helps to allow
companies for accurately forecasts the future of the customer behaviour (Lutz, 2019). Also, it
can operate the activities in the real time but is never fallen behind crucial information and then
respond in the more comprehensive manner that need to be fixed the issues. Then it helps to
improve the efficiency at the workplace that can not done by humans. This is related to
dangerous and easy task which need to be support for more creativity and empathy.
How artificial intelligence developed
This topic has developed in the 1951 by Christopher Strachey who is director of
programming and research at the Oxford University. Also, experts are predicted that rough
artificial intelligence which are need to be created in the years 2030. It is also developed on the
basis of science and technology that are based on important factor such as Psychology, Biology,
Computer science, engineering and mathematics. This is development of computer function
which are associated by human intelligence that are related to reading, learning, problem solving
and human intelligence (Gunasekeran, Tham and Wong, 2021). It has been analysed that
artificial intelligence's most developed factor is related to IBM cloud that is become the leader

since 1950. The effort made in the recent year are related to converting the software into services
and then scale out the system that are designed for deliver analytics of cloud based and different
AI services.
Description and uses of AI
In the current era it has been analysed that AI played important role in reference to used
in different sectors such as health acre in the heath care departments its help to provide
personalized medicine on the basis of X-ray reading. Also, personal health care assistant which
are act according to coaches that are helps for reminding for eating and exercise. in the retail
business it helps to create digital improvement for providing virtual shopping capabilities which
are help for offering and then it helps to discuss more option to the customer. Then it also helps
to manage the stock on the basis of designing and prefer layout. This is the most important
things that can be used by retail manufacturer (Brundage and Anderson, 2018). In the
manufacturing business AI analyses the data related to stream for connecting different
equipment for forecasting the expected load that are help for analysing the demand on the basis
of recurrent network and uses for sequence data. in the bankings department it is used for
enhances the speed, effectiveness of human efforts and precision. In the financial institution it
helps to improve the transactions on the basis of identify the transactions that are related to
credit scoring and fraudulent that helps for automatic and manually intense management of tasks.
This is also work for the machine learning in order to develop the knowledge by building
analytical buildings model. This is used for method that are related to neural network, operations
and statistics so that it help to analyse the program.
Software and platforms are used in artificial intelligences
There are different types of software and platforms are used in artificial intelligences
such as Google, Microsoft Azure, Amazons web services, IBM Watson, SAS etc. Google AI
platform are help for easy to learnings machine developed, data engineers and data scientists.
Also, it is support for Kubeflow open source platform which are necessary to building portable
ML pipelines which cans runs out for Google cloud without changing the significant code ( Naik,
Somani and Hameed, 2020.). Microsoft Azure is also as platform which offers cloud based
analytics that are designed for simplify the machine learning. For the model business it will
provide for changing best way by Bing, Xbox or dropping in customer and python code.

Business tool and software used AI
The technological tool and software are related to salesforces Einstein, Infosys Nia, Symantec,
Periscopes data etc. sales-force Einstein helps for sorting the customer data in order to derive and
delivers the insight. Also, it helps to provide automation of resources. This tool is effective in
order to collect large numbers of data and change it accordingly and it helps to identify the
behaviours of the customers by providing sales-force in the effective manner it helps to identify
the demand and make the product on the basis of this. Then Symantec are related to the software
which is related to cyber focused solution for machine learning and it helps for identifying
malicious cyberattacks. Almost all the business are depend on AI because it helps to give
different vision to the company (Kuzior, Kwilinki and Tkachenko, 2019). In the transportations
business it played important role by operation all the autonomous vehicle and then manage the
traffic, also it provides the information related to prediction for flight delays then also uses in
shipping safer and efficiently in the ocean.
Relationship between digital technology by using theories
It has been clearly identified that the current market is emerged with new and advance
technology and that is why, top business also uses the same which in turn help to improve the
business performance. As explained, AI as a technology is introduced by different companies in
order to smoothen the business operations and that is why, it helps to create a better outcome as
well (Benjaafar and Hu, 2020). As per the secondary research, it has been identified that AI
assist in spam filters and the process automation which in turn help to improve the business
performance and save time so that employees can divert the same towards another task. Also,
with the help of AI, companies can assist online customer supports so that companies can offer
the same to meet the demand in near future. Thus, it can be stated that with the help of effective
digital technology, company start converting into an automation process and that is why, it helps
to generate a better outcome as well.
Moreover, as per the classical theory of management (old theory), it has been identified
that this is focus upon operations and also create standards to increase production output. It is
also recognized as a primary motivation of all employees and that is why, it assists to provide
and improve the performance of an employees in order to generate a better outcome. Along with
this, Administrative Management Theory also support to conduct many activities and this further

provide detailed guideline to managers (Snow, 2019). Thus, it has been identified that managers
need to adopt an effective way through which company can resolve the issues and with the help
of an effective business activity, company can improve the business performance. On contrary
side, Contingency theory (new business and management theory) which holds every situation
need a different leadership style in order to manage the work accordingly. This in turn helps to
let all the leaders undertake their responsibility and generate a better outcome in order to
improve the outcome. In addition to this, another theory i.e. System theory (modern theory of
business) stated that companies should treat like a living organism because all the associated part
of a business actually survive and this in turn assist to improve or raise performance of
employees. Under this, company can implement new ways through which the business can
improve the business performance and generate a better outcome as well. That is why, it can be
stated that both new as well as emerging theory of a business management help business to rely
upon new things so that business can survive in a competitive market.
These old as well as new management theory also have a direct relationship with digital
technologies such that to improve the employee performance there is a need to implement
advance technology like AI which smoother the operations and make the business to attain the
further level of success. However, with the help of new emerging business management model
i.e. contingency theory it has been identified that leaders need to change their leadership style in
order to improve the business performance (Hatchuel and Segrestin, 2019). Like to implement
new change, most of the leader in top organisations uses democratic leadership style which in
turn help to understand the views of people and then implement the same in order to make their
employees feel privilege. Along with this, it has been also identified that by complying with old
and emerging theory of business management, company create a new path for the success and in
the same way it generate a better outcome as well. However, company should be ready to
implement new system or process into a business because it might assist company to improve the
existing process. This is also related to digital technology as well because majority of the
companies start adopting new technology which in turn help to improve the business
performance.
Apart from this, the nature of digital technology and emerging theory of business and
management is interrelated with each other and similar, because with the changing environment,

the new theories evolved and that is why, it will assist companies as well as individual to apply
the same into the workplace (Maylor and et.al., 2018). Therefore, it has been identified that with
developing management theories, company can align the performance of employees and suggest
different ways through which the company can solve the problems as well. Also, it has further
evaluated that with the help of digital technology, company can communicate easily with all the
individual in order to provide them a right direction. The need of adopting advance technology is
created in the industry such that Industrial Revolution actually brought better and faster
technology which allow company to perform more efficiently so that the output can increases
and business can work in more effective manner. Overall, it can be stated that with the positive
relationship shared between business and management theory and digital technology companies
can easily improve the business performance and this in turn engage employees for the longer
term as well (Calás and Smircich, 2019). Hence, identify the current change in a market and then
apply the theory accordingly into a business is considered one of the best way to generate a
better outcome.
CONCLUSION
By summing up above report it has been concluded that AI plays a wide role in the
success of a company because it adjust to new inputs and also perform human like task which in
turn contribute to improve the business performance. Almost entire industry uses this advance
technology in order to smoothen the business and improve the performance as well. Therefore,
the tool is quite effective for retail industry in order to generate a better outcome in term of time
saving and cost cutting. There is a direct relationship between digital technology and both old as
well as newly emerging theory on business and management in term of improve the business
performance and meet defined aim.

REFERENCES
Books and Journals
Benjaafar, S. and Hu, M., 2020. Operations management in the age of the sharing economy:
What is old and what is new?. Manufacturing & Service Operations Management. 22(1).
pp.93-101.
Brundage, M., Avin, S. and Anderson, H., 2018. The malicious use of artificial intelligence:
Forecasting, prevention, and mitigation. arXiv preprint arXiv:1802.07228.
Calás, M.B. and Smircich, L. eds., 2019. Postmodern management theory. Routledge.
Gunasekeran, D. V.,Tham, Y. C. and Wong, T.Y., 2021. Applications of digital health for public
health responses to COVID-19: a systematic scoping review of artificial intelligence,
telehealth and related technologies. NPJ digital medicine. 4(1). pp.1-6.
Hatchuel, A. and Segrestin, B., 2019. A century old and still visionary: Fayol's innovative theory
of management. European Management Review. 16(2). pp.399-412.
Kuzior, A., Kwilinki, A. and Tkachenko, V., 2019. Sustainable development of organizations
based on the combinatorial model of artificial intelligence. Entrepreneurship and
Sustainability Issues. 7(2). p.1353.
Leonardi, P. M., 2020. COVID‐19 and the new technologies of organizing: digital exhaust,
digital footprints, and artificial intelligence in the wake of remote work. Journal of
Management Studies.
Lutz, C., 2019. Digital inequalities in the age of artificial intelligence and big data. Human
Behavior and Emerging Technologies. 1(2). pp.141-148.
Maylor, H. and et.al., 2018. Old theories, new contexts: extending operations management
theories to projects. International Journal of Operations & Production Management.
Pillai, R. and Sivathanu, B., 2020. Adoption of artificial intelligence (AI) for talent acquisition in
IT/ITeS organizations. Benchmarking: An International Journal.
Shah, M., Somani, B. K. and Hameed, B. Z., 2020. Artificial intelligence (AI) in urology-
Current use and future directions: An iTRUE study. Turkish Journal of Urology. 46(Suppl
1). p.S27.
Snow, D., 2019. The Big Picture: How the New Use of an Old Theory will Enhance Leaders'
Perspective on Management. Journal of Applied Business & Economics. 21(1).