Developing a Management Evaluation Model for Business Divisions of Public Institutions : Railroad Logistics Division Case

2021 ◽  
Vol 19 (2) ◽  
pp. 71-96
Author(s):  
Hyunjin Oh ◽  
◽  
SungWook Kang ◽  
Bumjoon Kim
Keyword(s):  
Evaluation Model ◽  
Public Institutions ◽  
Management Evaluation

scholarly journals A Study on Improving Disaster Management Evaluation Based on the PUFA Meta Evaluation Model

2020 ◽  
Vol 20 (1) ◽  
pp. 101-110
Author(s):  
Young Hee Kim ◽  
Soo Jun Kim ◽  
Ji Ho Lee
Keyword(s):  
Disaster Management ◽  
Local Governments ◽  
Evaluation System ◽  
Evaluation Model ◽  
Public Institutions ◽  
Evaluation Framework ◽  
Research Model ◽  
Point Scale ◽  
Management Evaluation ◽  
Disaster Assessment

This study aims to examine the problems of the DME (Disaster Management Evaluation) System, which has been implemented since 2005, using meta evaluation; it also aims topropose improvements. For this purpose, the research model was built on the four standards (propriety, utility, feasibility, accuracy) presented in the PUFA meta evaluation model. Checklist items corresponding to the PUFA model sub-components were then selected, and questionnaires were created using a Likert-style5-point scale for disaster assessment evaluators, central departments, local governments, and public institutions. Some of the results of thePUFA sub-components were statistically significant and proved to be a useful meta-evaluation framework for assessing the DME level. For evaluation performance, DME can only be improved if policy efforts to ensure the expertise of the evaluation department, credibility of the evaluator, and justification for the evaluation results are continued. From an evaluation indicators perspective, there is need for improvement ofthe capability-performance multi-dimensional evaluation system so that it can take into account the unique enforcement functions and regional characteristics of the evaluation target organization.

scholarly journals Construction of Multimedia Teaching Resource Management Evaluation Model in the Big Data Environment

2018 ◽  
Vol 13 (03) ◽  
pp. 4
Author(s):  
Wei Bian
Keyword(s):  
Big Data ◽  
Resource Management ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Management Evaluation ◽  
Teaching Resource ◽  
Multimedia Teaching ◽  
Proposed Model ◽  
Multi Media ◽  
Data Environment

In view of the deficiencies in the studies of the multi-media teaching resource management method and resource management evaluation model, a multi-media teaching resource management evaluation model in the big data environment is proposed in this paper based on the existing work. The teaching resource management evaluation method of the proposed model is further studied based on the elaboration of the component elements of the model. Guided by the multimedia teaching resource management evaluation model, the construction method for the multimedia teaching resource management evaluation model is studied in the open big data environment. And the multimedia remote teaching data of 360 encyclopedia and news web pages are used as the basis for experimental verification. The results show that the proposed model and method can effectively evaluate the multimedia teaching resource management.

scholarly journals Developing a Hospital Disaster Risk Management Evaluation Model

2019 ◽  
Vol Volume 12 ◽  
pp. 287-296 ◽  
Author(s):  
Masoumeh Abbasabadi Arab ◽  
Hamid Reza Khankeh ◽  
Ali Mohammad Mosadeghrad ◽  
Mehrdad Farrokhi
Keyword(s):  
Risk Management ◽  
Evaluation Model ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Management Evaluation

scholarly journals Application of Deep Learning in Financial Management Evaluation

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wenlei Shi ◽  
Lei Xu ◽  
Dongli Peng
Keyword(s):  
Deep Learning ◽  
Financial Management ◽  
Evaluation Model ◽  
Principal Component ◽  
Model Learning ◽  
Analytic Hierarchy ◽  
Management Evaluation ◽  
Learning Evaluation ◽  
Hierarchy Process ◽  
Satisfactory Prediction

The competition among enterprises is becoming increasingly fierce. The research on the financial management evaluation model is helpful for enterprises to find possible risks as soon as possible. This paper constructs the financial management evaluation model based on the deep belief network and applies the analytic hierarchy process to determine the weight of financial management evaluation indicators, which is compared with other classical deep learning evaluation methods, such as KNN, SVM-RBF, and SVM linear. It has achieved an accuracy of more than 81%, showing a satisfactory prediction effect, which is of great significance to formulate corresponding countermeasures, strengthen financial management, improve the capital market system, and promote high-quality economic development. In addition, aiming at the problem of abnormal financial data, this paper uses the new sample dataset obtained by principal component analysis for convolution neural network model learning, which enhances the prediction accuracy of the model and fully shows that deep learning is feasible in the research of financial management prediction, and there is still a lot of space to explore.

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