Analysis of Knowledge and Information Management in Organizations

This report provides a detailed analysis of knowledge and information management, starting with an overview of new technologies such as Artificial Intelligence and Web 2.0, and their applications in organizations. It explores various statistical and quantitative methods used in information management systems, highlighting key features like flexibility, interactivity, and collaborative capabilities. The report emphasizes the critical role of knowledge management in risk management, particularly in mitigating risks like resource scarcity. Furthermore, it examines the relevance of information to the government, including data on citizens, policies, and national security. The report discusses how governments analyze information using database management systems and data analytics, including AI, to make informed decisions and design effective programs. Finally, it explains information dissemination methods within government organizations, utilizing IT and communication technologies. The report references multiple sources to support its claims.

MANAGE KNOWLEDGE
AND
INFORMATION

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TASK 1
New Technologies
The new technology that is used in knowledge and information management is Artificial
intelligence technologies. It includes knowledge acquisition and case-based reasoning
system, expertise locator system, information repositories. Apart from this web 2.0
technologies are effective in this regards (Bonczek, Holsapple & Whinston, 2014). These
technologies allows the organisation to achieve desired benefits in terms of the fact that there
are large amount of data that is available with the firms and manually it is highly difficult for
the organisations to process all these data and achieve desired results.
Statistical and other quantitative methods
Various statistical and quantitative methods that can be used are:
 Mathematical Programming
 Cost analysis
 Cost-benefit analysis
 Linear programming
 Capital Budgeting
 Inventory Management
 Expected Value
 Decision Tree
 Simulation
 Queuing or waiting line theory
 Game theory
 Information theory
 Preference Theory/ Utility theory (Laudon & Laudon, 2015).
Key features of management information systems and decision support systems
 Flexibility and Adaptability: Both the systems are flexible and hence can be used for
the multiple purposes. It is also flexible because it supports the operations of the
multiple organisational units.
 Higher levels of Interactivity: It helps an organisation to interact with the data and
make decisions on the basis of it.

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 Ease of use: It is easier to use these systems and the major reason for it is the fact that
with the minimum knowledge about the technology one can easily utilise these
technologies to gain results.
 Effectiveness and efficiency: These systems bring efficiency in the process which can
be understood in terms of the fact that it helps an organisation to reduce the time taken
towards making of decisions and at the same time it also improves the accuracy of the
decision being made (O'brien & Marakas, 2011).
 Collaborative: These technologies also allow the firms to work with each other so that
two individuals or organisational functions in any part of the world will be able to
work with each other.
Risk management
The information technology in the form of knowledge management has a very critical role in
the risk management. There are various kinds of risks that exist in the business environment
and many can occur in their future and it is critical that the firms are ready for dealing with
these risks in an appropriate manner (Kim, Trimi & Chung, 2014). The risks such as resource
scarcity can be reduced by the firm if the company is able to use knowledge management
system which can be understood in terms of the fact that if the company utilises knowledge
management systems then they will be able to gather information about possible situations
and accordingly they could work beforehand so that they can avoid the risks of business
failure. Knowledge management allows a firm to make sound decisions on the basis of the
knowledge that they have gathered in their business processes.
Task 2
Information relevant to the government
There are many kinds of information that are relevant to the government. The information
related to the people that are living in the country. At the same time the information related to
the government’s work is also needs to be managed appropriately. Information such as
policies that will be made for the country and the information related to national security is
also stored in the data base (Cloete, 2010). Information related to the bills that consists of
their future investments is also relevant. There are also large amount of information related
what is happening in other country especially in the areas of threats are relevant to the firm.
Crime related information is also relevant to the government.

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Government analysing relevant information and knowledge
Government can analyse relevant information and knowledge with the help of database
management system and with the help of data analytics technology. This is highly used in the
case of security threats in terms of the crimes that is happening or finding out the national
security threats in terms of terrorist attacks. Information and knowledge are analysed by the
government with the help of artificial intelligence that helps them in manipulating such a
bigger amount of data at once (Cahyaningsih, Sensuse, Arymurthy & Wibowo, 2017).
Knowledge management help government make decisions
Knowledge management allows the government to make decisions as it provides data for
everything. For example if the government wants to design any specific program for the
people they will check the data about the people. This will help them in making precise
program and can benefit the people. Any decision that is data based will help the government
to reduce the chances of failure of that project (Buheji, Al-Hasan, Thomas & Melle, 2014).
Knowledge management will also help the government in making decisions that benefits the
maximum amount of people for whom the program was made. It will also help the
government to make decisions that is in the long term especially in forecasting of data which
is very necessary in making decisions effective.
Information dissemination in government organisations occur
The information dissemination in government organisation occurs with the help of IT
technologies especially the communication technologies. Company usually conducts
meetings that help in circulating the information that is available with anyone. The
information management system allows the organisation to store the information and the
people that are authorised to access are given access to the system and hence the respective
stakeholders get the information (Mendoza, Bischoff & Willy, 2017). Sometimes information
dissemination is done with the help of specialist group in the firm that communicates
everything that needs to be communicated to all the people.

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References
Bonczek, R. H., Holsapple, C. W., & Whinston, A. B. (2014). Foundations of decision
support systems. Academic Press.
Buheji, M., Al-Hasan, S., Thomas, B., & Melle, D. (2014). The influence of knowledge
management on learning in government organisations. American Journal of Industrial
and Business Management, 4(11), 657.
Cahyaningsih, E., Sensuse, D. I., Arymurthy, A. M., & Wibowo, W. C. (2017). Nusantara: a
new model of knowledge management in government human capital
management. Procedia Computer Science, 124, 61-68.
Cloete, F. (2010). Knowledge management in local government: The case of Stellenbosch
Municipality. South African Journal of Information Management, 12(1), 1-7.
Kim, G. H., Trimi, S., & Chung, J. H. (2014). Big-data applications in the government
sector. Communications of the ACM, 57(3), 78-85.
Laudon, K. C., & Laudon, J. P. (2015). Management information systems (p. 143). Upper
Saddle River: Pearson.
Mendoza, C., Bischoff, J., & Willy, C. (2017). Measuring the Value of Knowledge
Management Practices at Government Research and Development
Centers. Knowledge and Process Management, 24(1), 14-22.
O'brien, J. A., & Marakas, G. M. (2011). Management information systems (Vol. 9).
McGraw-Hill/Irwin.