Effects of the Government Performance Evaluation System on the Organization Effectiveness of Public Organizations: A Focus on the Interaction Effect of Performance Information

China's e-government performance evaluation is at the initial stage, there is a long way to go for its practical and theoretical study to explore, how to build a science of e-government performance evaluation system is a far-reaching a major issue. After discussing the connotation of e-government, modern government functions as well as government performance assessment, the article, based on the actual development of China's e-government, separately expounded on target， subject， object of China's e-government performance evaluation and made the idea of constructing the government performance evaluation, which is to provide reference for establishment a more scientific and accurate evaluation of government performance. This work is in order to promote the orderly development of e-government.

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DEVELOPING AN E-GOVERNMENT PERFORMANCE EVALUATION SYSTEM—A STUDY FROM CITIZEN SUBJECTIVE ASPECTS

Journal of the Chinese Institute of Industrial Engineers ◽

10.1080/10170660209509190 ◽

2002 ◽

Vol 19 (2) ◽

pp. 39-52

Author(s):

Chi-Kuang Chen ◽

Jie-Sheng Cheng ◽

Kuo-Ming Wang

Keyword(s):

Performance Evaluation ◽

Evaluation System ◽

Government Performance ◽

Performance Evaluation System ◽

System A ◽

Government Performance Evaluation

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Assessing the Relative Efficiency and Productivity Growth of the Taiwan LED Industry: DEA and Malmquist Indices Application

Mathematical Problems in Engineering ◽

10.1155/2014/816801 ◽

2014 ◽

Vol 2014 ◽

pp. 1-13 ◽

Cited By ~ 2

Author(s):

Chia Chi Sun

Keyword(s):

Performance Evaluation ◽

Evaluation System ◽

Evaluation Method ◽

Evaluation Model ◽

Assessment Model ◽

Performance Information ◽

Performance Evaluation System ◽

Important Approach ◽

Malmquist Indices ◽

Efficiency And Productivity

With the rapid acceleration of global competition the need has arisen for a more systematic performance evaluation system. This research develops a two-stage performance evaluation system to help maximize performance evaluation success. The performance evaluation is an important approach for enterprises to give incentives and restraint to their operators. It is also an important channel for enterprise stakeholders to obtain performance information. This study analyzes the current evaluation system for the Taiwan LED industry. This research measures the performance of ten LED companies in Taiwan for the period 2003–2009. The proposed method is practical and useful. The evaluation model indicates that proposed method is more reasonable and easier to grasp than other methods. As a result, it is easier to popularize this evaluation method in enterprises. The proposed method presents a complete assessment model that helps managers identify items for improvement, while simultaneously promoting cost and time efficiencies in the LED industry.

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Realizing the government performance evaluation index additivity in China: A probe into the aggregate degree and additivity of evaluation index

Filomat ◽

10.2298/fil1615125s ◽

2016 ◽

Vol 30 (15) ◽

pp. 4125-4134

Author(s):

Huping Shang ◽

Chunting Wang

Keyword(s):

Performance Evaluation ◽

Evaluation Index ◽

Government Performance ◽

Evaluation Indexes ◽

Evaluation Systems ◽

State Variable ◽

Binary State ◽

Performance Evaluation Index ◽

The Government ◽

Government Performance Evaluation

Studies and practices in China unanimously ignored the additivity of government performance evaluation index. In the present evaluation systems, the total score of government performance is added by simply putting the indexes values (numbers) together. Neither the researchers nor the practitioners pay any attention to the reality that the government performance evaluation indexes belong to high attribute dimensions, and they cannot be added directly. To process these high attribute indexes of government performance evaluation, we have to follow their clustering features and reduce dimensions to convert high attribute dimensions to low attribute dimensions. In this study, binary state variable was adopted to reduce dimensions. We reduce the dimension of the performance evaluation index by 4 steps: (1) separating the hazy description of into measurable sub-indexes; (2) treating each sub-index as a binary variable by judging it false or true; true and false are respectively indicated as 1 and 0 in the statistical software or mathematical language; (3) using the methods of aggregate degree, aggregate vector, and set theory to make the sub-indexes aggregate in a same class; (4) nondimensionalising the values of sub-indexes and realizing the additivity of all the sub-indexes.

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Optimization Study of Multidimensional Big Data Matrix Model in Enterprise Performance Evaluation System

Wireless Communications and Mobile Computing ◽

10.1155/2021/4351944 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Honglin Fu

Keyword(s):

Social Capital ◽

Big Data ◽

Performance Evaluation ◽

Evaluation System ◽

Information Use ◽

Three Dimensions ◽

Data Matrix ◽

Enterprise Performance ◽

Performance Information ◽

Performance Evaluation System

This paper uses a multidimensional big data matrix model to optimize the analysis and conduct a systematic construction of the enterprise performance evaluation system. The adoption of new research methods and perspectives to promote the study of the use of performance information is of great significance to achieve the effectiveness, science, and sustainability of corporate performance management. To solve the problem of objectivity and scientificity of performance information use, this part attempts to analyze performance information use from the perspective of the multidimensional big data matrix, focusing on the techniques and methods in the process of promoting performance information use from the multidimensional big data matrix and tries to construct a system model of enterprise performance information use from two dimensions: the use of performance information sources and the use of performance information results. Based on multiple theoretical hypotheses, a theoretical and empirical basis is provided for the division of demand dimensions of enterprise performance evaluation system. Through social capital theory, three dimensions of network social capital, cognitive social capital, and structural social capital are hypothesized, and the logistic regression method is applied for empirical study. The results show that these three dimensions have significant effects on the knowledge demand of enterprise performance evaluation systems. It is verified that the multidimensional big data matrix can enhance the quality of performance information sources and improve the objectivity of performance information. In the performance information source use dimension, the analysis verified that the collection and preprocessing technology of big data can realize the automation, real-time, and diversification of information collection and preprocessing, and enhance the objectivity of performance information. Big data helps to improve the quality and effectiveness of performance information results use. In the dimension of using performance information results, the distributed computing and analysis processing technology of big data can assist the decision support system, and the use of information can be shifted from micromanagement to decision support, to realize the scientific use of performance information and improve the quality of enterprise management decisions.

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