Using Data Mining Techniques to Develop Knowledge Management in Organizations: A Review.

Abstract

Nowadays, according to the growth of information and communication technology in society as well as the development of technologies related to data, information and knowledge, many organizations consider the importance of knowledge and ways of its acquisition, production, storage and transfer to create competitive advantage, success, and organizational survival. Measuring the position of organizational knowledge in the value chain of strategy-focused organizations is carried out through knowledge management process. This process involves the use of data and converting them into knowledge. Thus, tools such as data mining techniques are used to extract knowledge from databases. Therefore, data mining is used as a tool for the development of knowledge. Data mining is also one of the efficient tools to analyze and explore massive amounts of data in application areas. Since the current research is along with previous researches and in the same direction with its conclusion, they are generally based on library studies and questionnaire-based survey, therefore this study investigates the use of data mining techniques to develop knowledge management in organizations using library studies and review articles related to the topic. In addition, this study describes the knowledge management process and the use of data mining for the development of organizational knowledge.

Factors Limiting Knowledge Management among Construction Small and Medium Enterprises

“…Organisations and businesses consider knowledge and its acquisition, production, storage and transfer; as an important aspect of management that create success, competitive advantage and organisational survival. KM processes help in the measurement of organisational knowledge position in the entire value chain of organisations that have taken KM as a focus strategy (Dastyar et al, 2017). According to Donin et al (2016), knowledge is organisations new strategic imperatives that are critical and form part of organisations functional and operational processes.…”

“…Balakrishnan and Cheng (2019) assert that in project and production management, different types of knowledge are created. Dastyar et al (2017) submit that a lot of data are created and do not present any value to managers who are not familiar with their utilisation. Managerial decisions are improved when data are appropriately processed into knowledge and information to support organisational progress and survival strategy.…”

Cost Management for Information and Communication Technology Projects

“…Monitoring the project performance data regularly will give the project manager insight into the status of the upcoming deliverable (Egwunatum et al, 2021). The project manager also should refer to the lessons learned register as a knowledge base to understand the problems or failures that have emerged in past projects, so that the right focus can be given on the problem areas so that the potential problems can be rectified promptly (Dastyar et al, 2017).…”