The appropriate construction of the information management can be described as the life cycle that starts with a proper master plan and ends with a proper structured system in order to meet the different requirements of knowledge management for the complete organization. There is a crucial part of the system of the knowledge management life cycle that helps in identification of the instant, intermediary as well as long term necessities of the eventual system.
There are different characteristics of the knowledge management system life cycle are as follows:
Proper order, discipline as well as segmentation into different activities those are manageable in nature (Motamedi, Hammad and Asen 2014). Proper documentation for different changes those are possible in nature or the different modifications of system in future. Proper coordination of project as this will ensure cycle is completed on time. Proper and regular evaluation of administration at each phase of the life cycle is essential in nature.
Changes in building system of knowledge management
These are the different changes in building of proper system of knowledge management that includes proper culture (reward system), evaluation of knowledge (metrics), processing of knowledge (Store, process and distribute), implementation of knowledge (Learning and innovation) as these will help the different organizations in building proper knowledge system.
For example: In an organization, proper knowledge system lifecycle is essential as this will help in building proper knowledge that is required and essential in nature for performing different tasks. The employees of the organization have to be provided with proper training or else there can be issues in the workplace.
Process of Knowledge Management System Life Cycle
Evaluation of accessible information helps in identifying the present information surroundings and this helps in making the tasks easier in order to spot out the omitted gaps as well as give explanation for the arrangement of the innovative knowledge environment. There are several tasks such as proper formation of knowledge management team, proper preparation of the master plan, proper evaluation of the cost as well as performance of knowledge management system and proper quantification of the criteria of system as well as the costs that will help in maintaining proper process of the knowledge management cycle.
Form the knowledge management team helps in understanding that the success of the team depends on the number of different factors such as the size of the team, complexity of the tasks, providing motivation to the team as well as understanding the caliber of the team as well (Muthalagu 2016).
Knowledge capture helps in involving as well as analyzing knowledge that will help in solving the particular issue. This includes proper determination of the feasibility as well as retapping the knowledge in order to remove the gaps in system as well as verify the knowledge base.
Proper designing of blueprint helps in designing the infrastructure of information technology along with the architecture of the knowledge management as this will help in taking place with the design that is definite and deployment of the knowledge information system (Haimes 2015). This aims in interoperability as well as scalability of information and finalizing the scope of the system of knowledge management that is proposed in nature. The layers are Interface of the user, authentication, application layer, physical layer and repositories.
Test of the system of knowledge management involves two steps that include verification as well as validation wherein this will help in understanding the system is correct in nature as well as meeting the expectations of the users as well.
Implementation of the KM system wherein conversion is the major stride in implementation and this is the alteration of accurate knowledge representation that is machine equivalent into an exact plan or software package.
Proper management of change and reward structure wherein proper implementation is the change and there are individuals who resist changing as well. The individuals will become apprehensive in nature and they do not have such knowledge about the next happening and the effect of such change in the current job as well as in the quality of the decision making as well (Lu et al. 2014). The result of such anxiousness is stress as well as further resistance to change as well. There are different kinds of resistors that includes experts, regular staffs and narrow minded individuals
The resistance is displayed in different reactions such as:
Projection wherein it helps in understanding the hostility towards the peers
Avoidance wherein the individuals withdraws from the scene
Aggression wherein there is assassination of the scheme as there is ambiguity of the procedure as well as use
Post system evaluation wherein the impact of the system has to be assessed in terms of the effects on individuals, procedures as well as in the business performance. There are different areas of concern that includes quality of the decision making as well as the attitude of the users along with the knowledge cost updates as well as procedures. The initiative of the users helps in reviewing the enhancement and the maintenance (Li et al. 2015).
Therefore, it can be concluded that there are eight different steps in the knowledge management system life cycle that are different from one another as this helps in building knowledge and identifies the most crucial needs for the prospective system.
Haimes, Y.Y., 2015. Risk modeling, assessment, and management. John Wiley & Sons.
Kim, N.H., An, D. and Choi, J.H., 2017. Introduction. In Prognostics and Health Management of Engineering Systems (pp. 1-24). Springer, Cham. (Kim, An and Choi 2017)
Li, J., Tao, F., Cheng, Y. and Zhao, L., 2015. Big data in product lifecycle management. The International Journal of Advanced Manufacturing Technology, 81(1-4), pp.667-684.
Lu, N., Lu, C., Yang, Z. and Geng, Y., 2014. Modeling Framework for Mining Lifecycle Management. JNW, 9(3), pp.719-725.
Motamedi, A., Hammad, A. and Asen, Y., 2014. Knowledge-assisted BIM-based visual analytics for failure root cause detection in facilities management. Automation in construction, 43, pp.73-83.
Muthalagu, I., 2016. PLM (Product Lifecycle Management) System Administrator Process for Document Management System (DMS) in Energy Devices Domain.