Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator
In order to clarify the achievement and efficiency of enterprise learning in the process of cooperative innovation, a comprehensive criteria framework for the evaluation of enterprise learning performance is constructed taking the learning process and learning results as the construction idea based...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/8653164 |
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doaj-03a57ce8deef4770af8b2996119cb0c72020-11-24T22:11:28ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472019-01-01201910.1155/2019/86531648653164Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean OperatorShi Yin0Baizhou Li1School of Economics and Management, Harbin Engineering University, Harbin 150001, ChinaSchool of Economics and Management, Harbin Engineering University, Harbin 150001, ChinaIn order to clarify the achievement and efficiency of enterprise learning in the process of cooperative innovation, a comprehensive criteria framework for the evaluation of enterprise learning performance is constructed taking the learning process and learning results as the construction idea based on organizational learning theory. And this paper proposes a novel dynamic evaluation method considering the interaction between attributes of learning performance. In this study, the criterion framework for the evaluation of enterprise learning performance in the process of cooperative innovation includes learning process performance and learning outcomes performance. The original matrices are given by managers and experts using fuzzy set theory, and a dynamic time sequence weight vector is calculated based on information entropy and time degree. The weight of learning performance attributes under different time series is calculated based on entropy measure method. The interactive information of learning performance attributes is integrated through the weight of learning performance attributes and the three-parameter weighted Heronian mean operator considering the interaction between attributes. And then, the dynamic and comprehensive evaluation result of learning performance in the process of cooperative innovation could be computed by integrating the learning performance information under different time series with time sequence weight vector. Finally, a real case is studied to verify the scientificity and validity of the criteria framework for the evaluation of enterprise learning performance and the method proposed in this study. This study not only helps cooperative enterprises get feedback in time and adjust cooperative relationships and learning styles but also enriches the theory of interorganizational management and provides a theoretical basis for the process of enterprise cooperative innovation.http://dx.doi.org/10.1155/2019/8653164 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shi Yin Baizhou Li |
spellingShingle |
Shi Yin Baizhou Li Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator Mathematical Problems in Engineering |
author_facet |
Shi Yin Baizhou Li |
author_sort |
Shi Yin |
title |
Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator |
title_short |
Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator |
title_full |
Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator |
title_fullStr |
Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator |
title_full_unstemmed |
Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator |
title_sort |
evaluation of enterprise learning performance in the process of cooperation innovation using heronian mean operator |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2019-01-01 |
description |
In order to clarify the achievement and efficiency of enterprise learning in the process of cooperative innovation, a comprehensive criteria framework for the evaluation of enterprise learning performance is constructed taking the learning process and learning results as the construction idea based on organizational learning theory. And this paper proposes a novel dynamic evaluation method considering the interaction between attributes of learning performance. In this study, the criterion framework for the evaluation of enterprise learning performance in the process of cooperative innovation includes learning process performance and learning outcomes performance. The original matrices are given by managers and experts using fuzzy set theory, and a dynamic time sequence weight vector is calculated based on information entropy and time degree. The weight of learning performance attributes under different time series is calculated based on entropy measure method. The interactive information of learning performance attributes is integrated through the weight of learning performance attributes and the three-parameter weighted Heronian mean operator considering the interaction between attributes. And then, the dynamic and comprehensive evaluation result of learning performance in the process of cooperative innovation could be computed by integrating the learning performance information under different time series with time sequence weight vector. Finally, a real case is studied to verify the scientificity and validity of the criteria framework for the evaluation of enterprise learning performance and the method proposed in this study. This study not only helps cooperative enterprises get feedback in time and adjust cooperative relationships and learning styles but also enriches the theory of interorganizational management and provides a theoretical basis for the process of enterprise cooperative innovation. |
url |
http://dx.doi.org/10.1155/2019/8653164 |
work_keys_str_mv |
AT shiyin evaluationofenterpriselearningperformanceintheprocessofcooperationinnovationusingheronianmeanoperator AT baizhouli evaluationofenterpriselearningperformanceintheprocessofcooperationinnovationusingheronianmeanoperator |
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