Thursday, December 5, 2019
Computer System Knowledge Management System
Question: Describe about the Computer System for Knowledge Management System. Answer: 1: The Knowledge Management System is the system which includes creation, sharing, usage, and management of the knowledge and information required for the betterment of the organization. It is the key component of in the development of business strategy, human resource management, and information technology. The pillars of knowledge management are externalization and socialization. The function of the knowledge management system is to improve the performance of the employees, advantage of competition, innovation in technology, sharing of ideas, integration of tactics, and many more. It works on the principle of externalization, socialization, internalization, and combination. The functions performed by the knowledge management system can be categorised as below: Analysis of social network Capital invested on intellectual Community of practice Theory of information Science of complexity construction 2: Characteristics of the knowledge management system: Input: In the knowledge management system, the input is divided into four modules which are categorized as material, method, machine, and people. Output: The output of knowledge management system is to improve the performance of the employees, advantage of competition, innovation in technology, sharing of ideas, integration of tactics, and many more. Transformation: The process of transformation focuses on achieving the output from the input given to the system. In knowledge management system, this can be achieved by the interaction of the people with the other components of the system like machines, processes, and others. Boundary: it is the method by which the material is transformed into output. Environment: The environment is divided into two modules physical and managerial. The physical environment consists of cleanliness of surroundings and other factors which affects the working practices of the worker. The managerial environment works by the interaction with the management. 3: The feedback loop of knowledge management system consists of five processes: Managing processes: The aims and objectives of the organization should be clearly defined for creating the incentives for the business plan. Planning processes: The knowledge management system focuses on profiling the knowledge, creation of prerequisite knowledge, management of employees profile, and many more. Acquiring Processes: The knowledge management system focuses on acquiring knowledge necessary for the activities. Refinement Processes: This processes focuses on articulation and knowledge of the individual. Sharing Processes: In the sharing processes, the knowledge should be used for creating the infrastructure for the organization. By the implementation of feedback loop, it is used for analysing and identifying the complements. In the proposed system, closed feedback loop have been implemented because of the following reason: The meaningful resolution can be achieved by the implementation of the closed loop in the knowledge management system. The customer get satisfaction that their generated reviews have been taken into consideration (Thomsons, 2014) The knowledge of the employees, customers, stakeholders, and others can be improved The improvement in the knowledge helps in improving the benefits of the company The rating system helps in getting the fast feedback from the stakeholder Generation of free forms encourage the customer to provide their reviews on the product delivered by the company The process of prioritization should be applied on the feedback collected from the stakeholders (Astrom, 2008). 2: The outsourcing is the process by which company purchase products from the other company for cutting the cost. Outsourcing is commonly associated with component manufacturing, services performed by the computer programming, tax compliance, administration in training, services provided to the customer, product transportation, benefits related with the process of planning, and others. Advantages of Outsourcing the information system function: As the chief information officer of the organization, I predict three advantages from outsourcing the information system function which are as follows: Saving of cost: The outsourcing of the information system function helps in saving the extra expenditure and control on the cost. The outsourcing is usually carried out with the vendors who are specialized in the outsourced function. The fundamentals of outsourcing help in reducing the operational cost of the organization. Flexibility: With the implementation of outsourcing with the vendor, the flexibility can be achieved in areas of finance. The outsourced function helps in the sales of assets which in turn results into the increase in benefit of the company. Knowledge: Outsourcing opens the path for accessing the new technology which helps in the growth of the business. The company is not able to afford the computer experts therefore; it plays a major role in enhancing the functionality of the business in lower cost. 3: As the chief information officer of the organization, I predict three disadvantages from outsourcing the information system function which are as follows: Risk associated with the loss of confidential data: The outsourcing function like payroll, human resource, and recruitment may result in the exposure of confidential information of the organization to the third party. The problem of synchronization occurs in the deliverables: The correct selection results into correct deliverables. Sometimes the problem can occur with the selection of the third party to carry out the outsourcing function which results into extension in the delivery time, low quality product, responsibilities are not properly categorized, and many more. Poor Quality control: The wrong selection of the vendor results into the delivery of the low quality product which will affect loyalty of the company, trust of the customer, and the defect in the alignment of strategy. 4: The information system which is suitable for outsourcing to the third party for the benefit of the organization is outsourcing Management information system. The third part will develop the processes, mew methodologies, use of new technology, concept, and etc. in the direction of gaining maximum profit for the organization. The fundamentals of outsourcing help in reducing the operational cost of the organization. With the outsourcing information system, the establishment of performance metrics, consideration on the risk factors and development of the centralized structure in relation with architecture can takes place. Strategic partnership helps in the achievement of proper functioning of the operation related with management information system. The focus can also be given on activities like operation related with the data centres, application related with the desktop support, telecommunication, and backup data (Brown, 2015). The fundamentals of outsourcing help in reducing the op erational cost of the organization. Learning analytics is the process of measuring, collecting, analysing, and reporting about data from the data collected from the student in various forms. The benefits which can arise to the student with the learning analytics are as follows: It help in reflecting the achievements of the individuals and their behaviour in the relationship with others Helps in predicting the student who need extra attention and support Helps in developing the intervention plan Helps in taking efficient and effective decision More useful information can be acquired by using the technology of customizable measurement The purpose of prediction can be solved Adaptation of the student in new learning path Visualization of information for providing learning data. Experience of the student can be improved Real time insight can be provided for increasing the learning capability of the student The benefits which can arise to the university with the learning analytics are as follows: Saving of cost by implementing the efficient practices Helps in providing better retention to the student Helps in predicting the student who need extra attention and support Helps in developing the intervention plan The content of the course can be improved by using new curriculum More useful information can be acquired by using the technology of customizable measurement Continuous feedback can be achieved from the data collected from the classroom (Ferguson, 2012) The teaching and the learning capability can be improved The differentiation in the substantial information can be carried out Initiatives can be taken for integrating the strategic plans The negative outcomes of the learning analytics are as follows: The ownership of learning is not taken by the student The learner or student could not match their skills with the innovation of new technologies applied in the campus The overloading of the content can be done by combining the new curriculum with the older one. The teachers are not able to change themselves with the changing and the new innovative technologies. The students are not interested in learning online components The design support is insufficient to provide relevant information to the teachers. Yes, the collection and analysis of data is ethical because it helps in monitoring and identifying the need of the students, predictive modelling technique can be used for identifying the characteristics or behaviour of the student, and also it helps in developing the evaluation technique which results in the improvement in the learning capability of the student. The confidential data which is stored in the database of the university should be used in the right direction in relation with medical or health condition, religion or belief of the student, sexual orientation, and against the offences. This information helps in the proper monitoring and evaluation of the student behaviour (Michael, 2013). The system of virtual learning environment can be generated on the basis of the information collected by the record of the student (Mollet, 2013). References: Ferguson, R. 2012.Learning Analytics: Drivers, Development, And Challenges. Ebook. 1st ed. https://oro.open.ac.uk/36374/1/IJTEL40501_Ferguson%2520Jan%25202013.pdf. Michael, D. 2013.A Dynamic topic model of learning analytics research. Ebook. 1st ed. https://ceur-ws.org/Vol-974/lakdatachallenge2013_01.pdf. Mollet, J. 2013.Ethical issues in social science research. Ebook. 1st ed. https://www.aust-neth.net/transmission_proceedings/papers/Mollet.pdf. Thomsons, D. 2014.The Feedback loop. Ebook. 1st ed. https://sptf.info/images/pn1_fbl.pdf. Astrom, K. 2008.Feedback System: An introduction for scientist and engineers. Ebook. 1st ed. https://www.cds.caltech.edu/~murray/books/AM05/pdf/am06-complete_16Sep06.pdf. Brown, L. 2015.Global outsourcing for professional services. Ebook. 1st ed. https://ebusiness.mit.edu/research/papers/204_Gupta_GlobalOutsourcing.pdf.