Evaluation Of Knowledge Management System Research Articles

Knowledge Management System For Forest and Land Fire Mitigation in Indonesia: A Web-Based Application Development

Forest and land fires in Indonesia have serious impacts on many aspects, including the environment, health, economy, politics, and international relations. They cause haze pollution that extends to neighboring countries and peatland degradation. Despite extensive research and mitigation efforts, forest and land fires continue to occur and cost lives. Therefore, effective management and mitigation strategies are required. This research developed a web-based knowledge management system (KMS) using the Laravel framework as an effective forest and land fire mitigation platform. The KMS aims to support decision-making, facilitate knowledge exchange, improve coordination between stakeholders, and expand access to relevant information, while maintaining the sustainability of forest and land resources in Indonesia. The KMS evaluation results cover two important aspects: blackbox evaluation and performance evaluation. The blackbox evaluation showed that KMS provides knowledge retrieval features based on expert knowledge. The performance evaluation revealed that the KMS provides easy and quick access to information on forest and land fire prevention and management. Thus, this research has great potential to help overcome the problem of forest and land fires in Indonesia and protect the environment and society from their adverse effects.

An evaluation of knowledge management system's components and its financial and non-financial implications

Knowledge Management is an inclusive process of gathering knowledge, processing it and then utilising it in order to improve firm productivity and seek solutions to crucial problems. This paper is based on the assessment of structural framework of a Knowledge Management System (KMS) and how these components influence the financial and non-financial aspects of an organisation. The study mainly focuses on the evaluating the influence of KMS on the overall performance of SMEs in Austria. The current study investigates previous researches and theories to build a comprehensive understanding of the topic. It also conducts a quantitative analysis to evaluate the relationships between Knowledge Management Capabilities, Processes, and Firm Performance. To get first-hand information related to knowledge management practices, 126 managers and senior employees from 72 Austrian SMEs are surveyed. According to the results, KM capabilities have a significant positive relationship with KM processes. Moreover, KM processes in the Austrian SMEs have a significant positive influence on financial and non-financial performance. The study recommends increased focus on KM practices for improved overall performance.

Perancangan Knowledge Management System pada Bagian Diklat PT Dirgantara Indonesia

The problem that emerged on every organization now days especially company is how to increase sustainable knowledge from their human resources that suitable with the challenges faced. However, a lot of organizations such as PT Dirgantara Indonesia is not yet or have not discovered hidden knowledge within their employees. Therefore, the objective of this research is to find a constructive plan, implementation and evaluation of Knowledge Management System (KMS) that should be applied to PT Dirgantara Indonesia. Research method used on this paper is descriptive qualitative methodology, 10-step knowledge management roadmap, and differentiation quantitative test. The results from this research are implementations on business startegy of PT Dirgantara Indonesia on their Training and Education Department, with personal approach. Knowledge that needs to be followed is career analysis method, English language ability, SAP creation and system analysis. Those implementations are running through online forum such as intranet portal and offline forum such as scheduled formal forum.
 Keywords : knowledge management strategy, knowledge management system, 10 steps roadmap, SECI model, MOODLE

A multi-criteria group decision making model for knowledge management system selection based on TOPSIS with multiple distances in fuzzy environment

Purpose – The purpose of the paper is to develop a model for the selection of knowledge management system (KMS), in which the assessment criteria are defined and the TOPSIS method with multiple distances in fuzzy environment is proposed. Design/methodology/approach – First, the paper establishes the evaluation criteria from functional, performance and economic aspects. Second, a new TOPSIS method is proposed to deal with the linguistic evaluation information. In the proposed method, in order to eliminate the bias of TOPSIS with single distance, six kinds of distances that are commonly used in TOPSIS including Hamming distance, Euclidean distance, Dp,q distance, Hausdorff distance, L2 distance and vertex distance are extended in fuzzy environment and employed in the TOPSIS to generate six independent pre-rankings. Afterwards these pre-rankings are combined by Condorcet method to generate the final joint ranking. Findings – Since the final ranking is the collective result, the bias in each single pre-ranking is eliminated and the selection is more objective and accurate. The example shows the proposed model is practical. Research limitations/implications – The linguistic preferences are given in the single granularity linguistic information. Practical implications – The proposed model can be applied as a tool for decision makers in the evaluation and selection of KMS. Originality/value – The paper gives an overall evaluation of KMS and proposes the new TOPSIS method with multiple distances in fuzzy environment.

Evaluasi Knowledge Management System di Kompas Gramedia Menggunakan Analisis Faktor

Evaluation of Knowledge Management System (KMS) is performed to determine the state of KM Portal and provide suggestions to improve the benefits and usability for employee and the company. The evaluation analysis of KMS uses factor analysis to determine the factors that influence user awareness in using KM Portal of Kompas Gramedia. The analysis shows three factors: the quality of KM Portal and user support; user participation; processes and procedures. All factors produced a model that can be used for the control of KM Portal. In accordance with the data processing, the current state of KM Portal is enough. This situation has not yet met the standards that company desires so the company needs further development to obtain a perfect score.

Application of Multi-Dimensional Metric Model, Database, and WAM for KM System Evaluation

A Knowledge Management (KM) System plays a crucial role in every industry as well as in Higher Learning Institutions. Based on the earlier research works, the authors have identified the gaps, and challenges in order to develop a comprehensive KM System framework, Hybrid Evaluation method which are helpful to assess any given KM system. The primary goal of this research paper is to propose the methodology for ranking and rating of the KM system using Multi-dimensional Metric Model, Metric Database and Weighted Arithmetic Mean (WAM) method. This paper first provides the background for KM System Technology Framework and then enlists some of the significant research works, carried out in the past two decades especially on the KM Success Factors and Models, which support and validate their success. Secondly, this paper describes and illustrates how a Multi-dimensional Metric Model and Metric Database can be formed. Finally, this paper discusses how the KM Systems are evaluated and ranked for their effectiveness through the proposed evaluation methodology.

Effectiveness of Knowledge Management Systems in Social Services: Food Assistance Project as an Example

This article reports on a performance evaluation on the knowledge management system (KMS) developed for a short-term food assistance program in Hong Kong the authors have conducted. DeLone and McLean's (1992) widely accepted model on information system success is adopted as the evaluative framework. Instead of just another revalidation of the model on KMS evaluation in social services, this study attempts to discuss the effectiveness of the system across different hierarchal levels in the organizations involved. This has remained an unexplored aspect in previous related studies, and the article suggests that the results have implications for further KMS development in human and social services.

Designing an evaluation framework for knowledge management systems by using balanced scorecard

Regarding mass investment, for capturing knowledge and improving intellectual capital, in knowledge management (KM) systems which are not necessarily effective, efficient, or creating value, knowledge management system (KMS) performance evaluation becomes an issue that needs to be explored. In fact, this paper seeks to answer the 'Productivity paradox' by evaluating KMS via introducing and validating a comprehensive framework. This paper tries to achieve three major aims. First, since KMSs cover all processes in KM, this paper intends to evaluate KM initiatives via proposing a framework for KMS evaluation by using BSC which is not used in this field yet. Second, to identify measures of each perspective through a well-known literature review. Third, to determine the most effective perspective in evaluation of KMS in KM experts' viewpoints. The proposed framework can act as a tool for recognising weak and strong aspects of KMS and assist managers to improve and make more effective these systems.

A framework for evaluating Knowledge Management Systems based on Balanced Scorecard

A company regards corporate knowledge shared within an organisation as intellectual capital. Most companies have adopted a new business paradigm, Knowledge Management (KM), and its realisation using computer technologies, Knowledge Management System (KMS). Since KMS has created new business value and requires an organisational culture, it has many different characteristics in contrast to conventional information system. Little research, however, has been conducted to evaluate KMS. In this paper, we suggest a framework for evaluating KMS. Several assessment perspectives and metrics are discussed for more unbiased KMS evaluation using the concept of Balanced Scorecard. Analytic Hierarchy Process is used to consolidate the assessment perspectives and metrics. We anticipate that the proposed framework will be useful in assessing the effectiveness of KMS.