Construction and Application of Performance Evaluation Matrix for Knowledge Management

Author(s):  
Xiuhui Yu ◽  
Shoulian Tang
2013 ◽  
Vol 7 (1) ◽  
Author(s):  
Kateřina Pikousová ◽  
Petr Průša

The evaluation and selection of suppliers are important tasks in any organisation. Each organisation needs to have a supplier evaluation matrix or model in place. The goal of this article is not only to give an overview of supplier performance evaluation techniques but also to present an example of such a supplier evaluation matrix used in practice. The article shows that suppliers’ qualities, strategies and abilities affect a buying company’s business. Reliable suppliers can help to develop stabile, long-term relationships that will be beneficial to both parties. Effective sourcing and purchasing require high-quality suppliers.


Author(s):  
Enrico Scarso ◽  
Ettore Bolisani ◽  
Antonella Padova

Most companies that are deeply investing in Knowledge Management (KM) initiatives encounter substantial difficulties in assessing the effectiveness of these programmes. Actually, measuring the impact of KM projects is still a puzzling problem both at the conceptual and operative level. However, measuring their performance is necessary for monitoring their progress and for successfully managing and allocating resources, as well as to maintain the support and commitment by the top management. Although several KM performance evaluation approaches have been proposed in literature, they are still far from becoming an established practice. The chapter aims at discussing this issue by placing it in a business context. First, the literature on KM performance evaluation is briefly reviewed, and the main methods currently used are classified. Then, the practical experience of a multinational company is discussed, with the purpose to describe the problems that practitioners face in their daily experience, and provide insights into the possible improvements of KM performance measurement.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Rafi ◽  
Zheng Jian Ming ◽  
Khurshid Ahmad

PurposeThe study aims to expand the literature on evaluating the performance of professionals and academic libraries, rationalizing management and providing reliable services to the academic community. The performance assessment model covers the four components (management competence, professional experience, financial add/projects and library services) in the context of the knowledge management model.Design/methodology/approachBased on quantitative data, the study defines a set of assumptions for testing the four components of performance evaluation within a knowledge management framework to develop appropriate and robust models for improving employee performance and library services. The structural equation model has been applied to sample data from 339 administrative librarians at 190 universities in Pakistan.FindingsStatistical evidence confirms that the applicability of the proposed performance-based model enhances management competence, makes accurate decisions, develops professional skills and strengthens human resource organization and knowledge management techniques in developing the efficiency of academic libraries.Practical implicationsIn the long term, academic leaders and policymakers value investment in the professional development of top library management as they participate in the decision-making process. Organizing training for service employees, supporting innovative research projects and providing library technology infrastructures ultimately improve academic performance and research when integrated into the knowledge management model.Originality/valueSo far, comprehensive literature on performance and knowledge management has been published separately. However, based on the key data collected by senior library administrators using the structured research questionnaire, the comprehensive performance evaluation research based on a knowledge management model is innovative to improve academic library services and close the literature gap.


Author(s):  
Tzu-Chung Yenn ◽  
Yung-Tsan Jou ◽  
Chiuhsiang Joe Lin ◽  
Wan-Shan Tsai ◽  
Tsung-Ling Hsieh

Digitalized nuclear instruments and control systems have become the main stream design for the main control room (MCR) of advanced nuclear power plants (NPPs) nowadays. Digital human-system interface (HSI) could improve human performance and, on the other hand, could reduce operators’ situation awareness as well. It might cause humans making wrong decision during an emergency unintentionally. Besides, digital HSI relies on computers to integrate system information automatically instead of human operation. It has changed the operator’s role from mainly relating operational activity to mainly relating monitoring. However, if operators omit or misjudge the information on the video display units or wide display panel, the error of omission and error of commission may occur. Therefore, how to avoid and prevent human errors has become a very imperative and important issue in the nuclear safety field. This study applies Performance Evaluation Matrix to explore the potential human errors problems of the MCR. The results show that the potential problems which would probably affect to the human performance of the MCR in advanced NPPs are multiple accidents, pressure level, number of operators, and other factors such as working environmental.


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