Knowledge Management Systems and Information Systems in Toyota Motors

This report discusses the knowledge management practices in the Toyota Motor Corporation and outlines challenges from integrating artificial intelligence in the manufacturing process. It covers the impact of knowledge management on Toyota and the impact of artificial intelligence technologies on the automotive industry. The subject is Knowledge Management Information System and the course code is MSc Management with Streams. The college is BPP Business School.

KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
BPP Coursework Cover Sheet
Please use the table below as your cover sheet for the 1st page of the submission. The sheet
should be before the cover/title page of your submission.
Programme MSc Management with Streams
Module name Knowledge Management Information System
QAA Level 7
Schedule Term Summer,2018
Student Reference Number (SRN) BP0183622
Report/Assignment Title
Knowledge Management and Information System
Report
Date of Submission
(Please attach the confirmation of
any extension received) 28.08.2018
Declaration of Original Work:
I hereby declare that I have read and understood BPP’s regulations on plagiarism and that this is
my original work, researched, undertaken, completed and submitted in accordance with the
requirements of BPP Business School.
The word count, excluding contents table, bibliography and appendices, is words.
Student Reference Number: BP0183622 Date:
By submitting this coursework, you agree to all rules and regulations of BPP regarding
assessments and awards for programmes. Please note, submission is your declaration you
are fit to sit.
BPP University reserves the right to use all submitted work for educational purposes and

2
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
may request that work be published for a wider audience.
BPP Business School

3
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
Table of Contents
Introduction......................................................................................................................................3
1.1 Toyota Knowledge Management Strategy................................................................................3
1.2 Impact of Knowledge management on Toyota..........................................................................6
2.1 Impact of artificial intelligence technologies on the automotive industry................................8
2.2 Impact of AI technologies in Toyota Motors..........................................................................11
2.3 Challenges and solution for integration of AI in the manufacturing process..........................13
Conclusion.....................................................................................................................................14
Bibliography..................................................................................................................................15

4
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
Introduction
In recent years, academics and management professionals have been distinguishing
knowledge as a critical source of competitive advantage. The use of knowledge management in
the organizations have been developing an extra place in the operations. It has been a substantial
resource for a company including unique and non-commutable resources.
This report has discusses the knowledge management practices in the Toyota Motor
Corporation. Various interventions related to the current knowledge management practices in the
company has been discussed with the changes and innovations in it. This report has also outlined
challenges from integrating artificial intelligence in the manufacturing process.
1.1 Toyota Knowledge Management Strategy
Toyota Motor Corporation has experienced immense growth in the market since
initiation. However, the company has been facing a lot of issues during its expansion in the
market. Therefore, these approaches have helped in attaining a specific position in the market.
Various innovation and changes have been dining in the company for development of the
company in the market (Peter, 2018). Meanwhile, the company has understood the importance of
knowledge in the business arena. However, the company has understood that managing
knowledge in the work environment help in maintaining a healthy work environment. In the
initial stages, the company used to produce cars only in Japan and export it to other countries.
However, with the increase in the globalization and increase in demand, the company started
operating in various foreign markets (Obeidat, 2016). The company started developing at its pace
by accumulating various approaches including lean production and total quality management.
The company has been expanding in all over the world within a decade. The company has been

5
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
established in many other countries including China, Russia, Egypt, South Africa, Brazil, India,
Indonesia, Taiwan and Malaysia (Hill, 2017). It has been depicted in the figure given below.
The company is aware of creating knowledge in an aggregation of data and information.
However, it becomes a human behaviour in maintaining a proper distinctive human process.
Therefore, the management of the company has been trying to alter data and information used for
knowledge by organizing, summarizing and analysing final decision (Perez-Soltero, 2015).
Knowledge Management seems to be an approach in both the academic and corporate world.
However, there has been various intervention in the knowledge management practices of
Toyota Motor Corporation. Several aspects have been effectively managed, although there have
been lacking some of the aspects of the knowledge management strategies of the company
(Perez-Soltero, 2015). The knowledge management has been depicted as a knowledge
management tool that is depicted as tow aspects including information handling tool and
strategically focused management tool (Becerra-Fernandez, 2014). Toyota has been gaining its
capacities for meeting increase in demand. The strategy has been helpful in meeting global
demand of cars and vehicles of Toyota. The sharing of knowledge has been done with the help of
knowledge management as a management tool. Initially, Toyota has been adapting various
strategies with learn local, act global (Luckin, 2017). Maintenance in the quality has been
specialized in mechanism for implementing sustainable demand in the international market
(Lopes, 2017). The Toyota Production System (TPS) has been benefited with the implementation
of knowledge management strategies (Obeidat, 2016). The department has been operational
effective in their action. The motivation behind utilizing and utilizing KM ought to be clear as
along these lines just the organization can successfully deal with its KM practices and
methodology (Makridakis, 2017). The company has been able to share knowledge in the in both

6
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
aspects of knowledge management. Knowledge management can be a troublesome part for a few
reasons. These reasons may allude to the trouble with the sharing procedure or in light of the fact
that the common worker of the human cerebrum and considering (Roos, 2017). There is a need
to build up a successful sharing technique keeping in mind the end goal to beat trouble with
Knowledge management. This can be gotten by giving a sharing medium or on the other hand
executing a productive information sharing framework (Botoeva, 2016). A case of the effective
sharing medium can be having workshops and master yearly gatherings. In connection to the
human instinct part, individuals may decline to share learning as they believe that this learning
may appear to them as a way of acknowledgement or be being one of a kind and that they might
be in hazard in case they shared this information (Vladeck, 2014). A few associations worked
toward defeating those difficulties.
1.2 Impact of Knowledge management on Toyota
In the vast majority of organizations try to execute KM methodology, a typical problem
happened is about inadequate correspondence (Collins, 2015). For effective execution of the KM
system, it is basic that organization management has typical help from its best administration.
The organization administration should attempt for accessing top management for advancing
systems that will prop up learning and share (Heisig, 2016). Toyota ends up ready to get full help
from its best administration it will generously end up capable of creating and executing an
effective KM methodology.
Effective execution of KM is fundamentally connected with an association's culture. The
administration of Toyota additionally needs to build up a powerful relationship between its KM
system usage and its culture. By focusing on its workers and their typical part, the organization
can have an unmistakable KM methodology execution (Becerra-Fernandez, 2014).

7
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
The organization that focuses on its culture are significantly readier to achieve its objectives in
contrast with the firm that focuses more on innovation. This ought to be comprehended by
Toyota and after that exclusive, it will end up capable in the flourishing execution of its KM
technique (Wu, 2017).
Knowledge management as an information handling tool
Knowledge is considered to be an important aspect in the information handling in
knowledge management. It includes basic information about the organization and utilization of
knowledge in different aspects of the company. In the case of Toyota Motor Corporation, the
company has been able to collect data and information about the internal shareholders and
satisfied them with their products and services (Vladeck, 2014). In the first stage, the company
have to collect data and information ad in the second stage the information needs to be stored in
a storage device.
Knowledge management as a strategic management tool
The following generous part of KM that should be overseen by Toyota is KM as a vital
administration device. It is said by administration experts that powerful learning administration
starts with a system. It worries about a KM technique, learning is recognized as a most important
and less utilized asset (Wu, 2017). For enhancing information sharing and existing learning
administration rehearses, it is fundamental that the organization enhance its current KM
technique as it assumes a generous part in successful information administration.
Toyota has been investing in multipurpose vehicles that might help in increasing self-
reliance of manufacturing facilities in emerging markets. Toyota has been upgrading its vehicles
for future intervention. The company has aimed for increasing the ratio of imported parts form

8
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
Asian and Latin American countries from 60% to 70% by introducing multipurpose vehicles
(Botoeva, 2016). Machine learning and data science have been the key technologies as the
processes and products related to the automotive industry and automatic learning (Vladeck,
2014). Various artificial intelligence technologies including voice recognition in vehicles,
automatic facial and traffic sign are integrated into the automotive industry. This advancement in
technology in the automotive industry has been creating several new opportunities for companies
in this industry (Roos, 2017). These advanced technologies have been minimizing human
involvement in any complex duties in industry. These IMV cars can help in creating an
opportunity for emerging markets with their particular needs and demand for more competitive
pricing (Barley, 2018). However, IMV cars are only for emerging markets and will not be sold in
other regions including Japan, the USA and Western Europe.
For making a powerful KM technique, the organization need to create frameworks that
altogether reassign interior information into one of a kind practices. The organization
administration need to think about the greater part of its points, goals and foreseen brings about
see to KM as it differs for association (Sabherwal, 2014). At some point, KM can be worked out
as an approach to upgrade execution, profitability, coordinated effort and intensity and in some
cases, it might be utilized for amending compelling fulfilment, sharing and usage of data inside
the organization.
2.1 Impact of artificial intelligence technologies on the automotive industry
Modern technology has been modifying various production approaches in the automotive
industry. Various computing algorithms and methods are used in developing artificial
intelligence products. Tesla has been working on electric and autonomous cars that might help to
provide a new edge to the automotive industry. In the case of the Toyota Motor, the company is

9
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
looking for improvising the sensor and the engine of their cars. The company is also looking for
driverless cars as its next project (Cummings, 2017). Therefore, the use of artificial intelligence
technologies has been shaping the future of the automotive industry.
The term Industry 4.0 refers to the integration of technical aspects in cyber-physical
systems (CPS) for production and logistics in the internet of things. The term has been used
many times in different companies including Toyota that has helped in providing better
opportunities for companies (Bailey, 2018). CPS focuses on the network connections between
machines and humans. The sharing of knowledge has been done with the help of knowledge
management as a management tool. The motivation behind utilizing and utilizing artificial
intelligence ought to be clear as along these lines just the organization can successfully deal with
it artificial intelligence practices and methodology. The ICT system has been integrated with
artificial intelligence technologies. Machine input has been maintaining human access to
complex tasks (Perez-Soltero, 2015). Therefore, automotive companies have been benefited by
the use of the ICT systems. Artificial intelligence has a major impact in delivering services by
robots. Robotics has been the major invention of the artificial intelligence paradigm. Various
autonomous robots have been implemented in various automobile companies including Toyota
Motors. Toyota has been using robots for production of vehicles in their industry (Barley, 2018).
An industrial phenomenon has been blessed with the robotics application using Artificial
intelligence. Machine learning has been implemented in many smart factories of Toyota motor.
These technologies have been helping in minimizing labour cost for the company. Various
factories have been using these technologies for minimizing human labour in the operations
(Becerra-Fernandez, 2014). The use of robots in place of man have helped in increasing the
reduction of cars and other vehicles in the company.

10
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
The use of various instruments has been helping in maintaining the health and safety of
workers and employees in the company (Botoeva, 2016). Production in the company has been
increased in recent year with the implementation of robotics and other artificial intelligence-
based technologies in the company. There have been various artificial intelligence-based
technologies used in the automotive industry. Driverless cars project has been started in the
1970s by various automobile companies. However, due to the lack of knowledge and technology,
it failed every time. However, with the development of technologies and knowledge, self-
driving cars have been produced by some companies yet is a testing mode (Patil, 2014). The use
of GPS systems and sensors in the autonomous cars have been heeding in maintaining the
dignity of the tech ology used in them. These technologies have helped in preventing accidents
and comfort in the journey (Obeidat, 2016). These technologies have been hoeing in building up
the standard o human being. However, there are many projects including electric cars that might
help in minimizing the consumption of diesel and petrol all over the world. These cars will run
on electricity. Therefore, the use of the petrol and diesel will be minimized (Roos, 2017).
Therefore, artificial intelligence has been helping the working environment. Various companies
have been developing their research and development departments in order to create
opportunities for employees in the future.
Driver Assist features
Various companies are focusing on automated cars and simplifying the assisting features
installed in the cars. Various driving features including an automated pilot system that helps in
the driving car by its own and driver can take off their control over the wheel. This feature has
helped in providing relief to drivers after a long journey driving (Collins, 2015). An automatic
braking system has been installed in the automated cars that help in collision avoidance instantly.

11
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
Advanced sensors are installed in the car that helps in sensing any threat to the vehicle before the
collision and apply those brakes. Therefore, artificial intelligence-based technologies have also
helped in maintaining the accidents ratios in the country (Vladeck, 2014). The use of automatic
brakes is efficient in bad rods and hilly areas as there is always a slope in these roads. The
control over the driver might get lost due to high altitude. Therefore, the car can by itself control
its motion.
Cloud-Hosted Intelligence
Cloud computing has a new concept introduced in the automotive industry. This has
become a useful platform for developing and deploying artificial intelligence technologies
(Vladeck, 2014). Features of cloud computing including accessibility and diversity of data and
information stored over the internet have been helping in maintaining the driving easy. The
partnership of automobile companies with cloud computing service provider has been a common
approach in the market (Makridakis, 2017). The details of the driver and passenger can be
obtained from the cloud. Automobile companies have been befitted with the GPS tracking
system linked with the car. This has helped in detecting the position of the car and store the data
over the cloud. Therefore, this has been a step towards security of the vehicle from getting lost
or stolen (Fox, 2018). Various maps and directions of destination are stored over the cloud that
helps in drivers in driving to that destinations. Various restrooms and petrol pumps are stored
over the cloud data for locating them easy in case of an emergency (Makridakis, 2017). Various
restaurants, hospitals and service centre for repairing have been providing over the data stored in
the cloud that help drivers during a long journey.

12
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
2.2 Impact of AI technologies in Toyota Motors for gaining competitive
advantage
The digital transformation of the automakers all over the world has been a great benefit
for the company. The change in the automobile industry has been reflected by the introduction
of artificial intelligence in the market. The use of artificial intelligence in the automobile
industry has been an important factor in the development of the industry (Barley, 2018). The
production and efficiency rate of the company has been increased as robots can work for the
whole day that any break. In the case of human labours, they need break time and available for 8
hours a day. In this case, Toyota has been using artificial intelligence technologies in their
production of vehicles and cars. The use of the AI has been helping in replacing the human
labour force to maximize production and efficiency of the company in the market (Botoeva,
2016). The use of robots and other automated devices in the manufacturing processes have been
helping in increasing the sales of the company in the market. The use of artificial intelligence
based applications has been maintaining the cost budget of the company (Roos, 2017). The cross
fictional implications of the cars are technically rectified using AI technologies. The digital
change in the operational functionality of the company has been helped h in the growth of the
company in the market. The sales of the cars have been increased in recent years for Toyota
Motors (Bailey, 2018). The competitive advantage has been gained by the company with the
implementation of knowledge management. The use of artificial intelligence based technologies
has helped in providing a better approach to the maintenance of products in the market. These
technologies have been helping in minimizing labour cost for the company. Various factories
have been using these technologies for minimizing human labour in the operations (Collins,

13
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
2015). The quality of cars has been increased in the market with the implementation of AI
technologies. A proper strategic planning has been made for the distribution of cars.
Toyota has refurnished their vision statement in 2011 including striving for implementing
a positive cycle of making even better quality cars for exceeding the expectation of customers
and enriching their lives. The sustainable growth of the company has helped in the development
of the company (Becerra-Fernandez, 2014). The company has been looking for developing cars
according to the needs of the customers in the market. Toyota has been using robots for
production of vehicles in their industry. The industrial phenomenon has been blessed with the
robotics application using Artificial intelligence. Machine learning has been implemented in
many smart factories of Toyota motor. The use of robots in place of man have helped in
increasing the reduction of cars n dither vehicles in the company (Collins, 2015). The use of
artificial intelligence based applications has been maintaining the cost budget of the company.
Toyota has been focusing on the environmental benefits and sustainable growth in the market.
Therefore, the efficiency has been increased with the implementation of artificial intelligence-
based technologies. An autonomous computer system does not depend on the external factors
that might be helping with working reliability and 24/7 time. The cars of the company have been
the focus on the low smoke zone (Cummings, 2017). This help in making a pollution free
environment. Various alternative fuel comparison status has been maintained by the company for
obtaining a proper approach to the market.
2.3 Challenges for the integration of AI in the manufacturing process
Artificial intelligence has been beneficial for Toyota Motors in every aspect of the
industry. However, there have been some loopholes in the manufacturing process of the
company due to the integration of AI in the industry (Hill, 2017).

14
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
Life Risk: Human interaction in complex works create risks and treats for their health and safety.
There are many incidents of accidents in factories due to various reasons including electric
shock, short circuit fire and top fall. The use of various tenders and automated devices in the
industry belongs to the AI technologies (Botoeva, 2016). However, importance knowledge has
been increasing on a daily basis in the society. There have been various innovations in
knowledge management and business. Innovations can be knowledge based in a company
including Toyota Motor Corporation.
Job Risk: Automated robots have been racing the human labour force from complex situations.
Therefore, the jobs of employees are in danger. Robots have been replacing the jobs of the
employees. The work done by robots are much better than the human (Becerra-Fernandez,
2014). Therefore, the company is investing in robots rather than employees and other workers.
Therefore have been many terminations of the employees from a company due to the
implementation of artificial intelligence based technologies (Fox, 2018). Robotization has been
becoming the danger for the career of the labour force in the company. Robots are more efficient
as they can work for the whole day without any break (Cummings, 2017). Therefore, a company
has been working in the termination of the labour force. The replacement of human labour with
autonomous robots has been a great decision by the company. The company has focused on
providing special benefits to the labour force of the company (Patil, 2014). The company has just
changed the role of the employees in the company.
Health and safety risk: Health and safety of workers and employees of the company is the major
concern in terms of the development of the company in the market. A human employee is
required for maintaining the robots. Therefore, the company has been incusing in changing the

15
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
role of the employees in the companies (Lopes, 2017). The role of the human employee has
been driving the robots to the workplace and monitor their work.
Conclusion
It can be concluded that knowledge management has been helping Toyota Motors in
gaining development in the market. Deep learning of the subject has been helping to increase the
sale of the company in the market. The use of knowledge management skills in the company has
created a strong relationship with customers in the market. Various knowledge management
strategies have been explained in the report. This report has critically reviewed the impact of
artificial intelligence technologies in the operational excellence of the automobile industry. The
advantages of knowledge management skills have been discussed in the report. The use of
knowledge management has been explained in the report. The positive impact of knowledge
management in Toyota has been mentioned in the report. The second part of the report discusses
the use of the artificial intelligence based technologies in the automotive industry. The use of
artificial intelligence technologies has been creating opportunities for the company in the market.
Toyota has been creating benefits from the implementation of artificial intelligence in the
company. The technologies have been helping in gaining competitive advantages in the market
over the competitors. However, there have been challenges in the implementation of artificial
intelligence as robots are taking off the place of the employees in the company. However, the
company has been able to mitigate these problems in the workforce by changing the roles of the
employees in the company.

16
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
Bibliography
Bailey, M. K. a. G., 2018. Strategic human resource management. Oxford University Press, pp.
50-62.
Barley, T. a. K., 2018. Valuing multiple trajectories of knowledge: A critical review and agenda
for knowledge management research. Academy of Management Annals, 12(1), pp. 278-317.
Becerra-Fernandez, I. a. S. R., 2014. Knowledge management: Systems and processes.
Routledge, 3(4), pp. 67-89.
Botoeva, E. K. R. R. V. W. F. a. Z. M., 2016. Games for query inseparability of description logic
knowledge bases. Artificial Intelligence, 234(3), pp. 78-119.
Botoeva, K. R. W. a. Z., 2016. Games for query inseparability of description logic knowledge
bases. Artificial Intelligence, 234(1), pp. 78-119.
Collins, K. M. S. a. C. A., 2015. Toyota production system for healthcare organisations:
prospects and implementation challenges. Total Quality Management & Business Excellence,
26(7,8), pp. 905-918.
Cummings, M., 2017. Artificial intelligence and the future of warfare. Chatham House for the
Royal Institute of International Affairs.
Fox, S., 2018. Domesticating artificial intelligence: Expanding human self-expression through
applications of artificial intelligence in prosumption. Journal of Consumer Culture, 18(1), pp.
169-183.

17
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
Heisig, P. S. O. K. A. K. C. P. A. G. a. F. E. N., 2016. Knowledge management and business
performance: global experts' views on future research needs. Journal of Knowledge
Management, 20(6), pp. 1169-1198..
Hill, T., 2017. Manufacturing strategy: the strategic management of the manufacturing function..
Macmillan International Higher Education..
Lopes, C. S. A. H. L. T. A. a. V. G., 2017. An analysis of the interplay between organizational
sustainability, knowledge management, and open innovation.. Journal of Cleaner Production,
142(1), pp. 476-488.
Luckin, R., 2017. Towards artificial intelligence-based assessment systems.. Nature Human
Behaviour, 1(1), pp. 25-30.
Makridakis, S., 2017. The forthcoming Artificial Intelligence (AI) revolution: Its impact on
society and firms. Futures, 90(1), pp. 46-60.
Obeidat, B. H. L. A. I. T. A. a. A.-S. Z., 2016. The effect of knowledge management uses on
total quality management practices: A theoretical perspective.. Journal of Management and
strategy, 7(4), p. 18.
Patil, S. a. K. R., 2014. A fuzzy AHP-TOPSIS framework for ranking the solutions of
Knowledge Management adoption in Supply Chain to overcome its barriers. Expert Systems with
Applications, 41(2), pp. 679-693.
Perez-Soltero, A. Z.-G. A. B.-V. M. S.-S. G. a. M.-C. A. 2. .., 2015. A Methodology for the
Development and Implementation of Knowledge Management Strategy in a Mexican SME
Trading Company. IUP Journal Of Knowledge management, 13(2), pp. 56-90.

18
KNOWLEDGE MANAGEMENT SYSTEMS AND INFORMATION SYSTEMS
Peter, V. K. K. W. H. L. A. a. M. R., 2018. Cutting Edge Technology for..
Roos, G., 2017. Knowledge management, intellectual capital, structural holes, economic
complexity and national prosperity. Journal of Intellectual Capital, 18(4), pp. 745-770.
Sabherwal, B.-F. a., 2014. Knowledge management: Systems and processes. Routledge, 6(7), pp.
276-279.
Vladeck, D., 2014. Machines without principals: liability rules and artificial intelligence. 89(1),
p. 117.
Wu, D. O. D. a. D., 2017. Artificial intelligence in engineering risk analytics. Engineering
Applications of Artificial Intelligence, 65(1), pp. 433-435.