Study on Fuzzy Comprehensive Method in the System of Enterprise Performance Evaluation Based on Stakeholder Theory

2010 ◽  
Author(s):  
Yongming Pan ◽  
Qian Wang
Keyword(s):  
Performance Evaluation ◽  
Stakeholder Theory ◽  
Enterprise Performance ◽  
Comprehensive Method

scholarly journals Assessment of Enterprise Performance Based on Picture Fuzzy Hamacher Aggregation Operators

Symmetry ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 75 ◽  
Author(s):  
Chiranjibe Jana ◽  
Madhumangal Pal
Keyword(s):  
Performance Evaluation ◽  
Rapid Development ◽  
Multiple Attribute Decision Making ◽  
Aggregation Operators ◽  
Weighted Averaging ◽  
Enterprise Management ◽  
Enterprise Performance ◽  
Knowledge Based Economy ◽  
Multiple Attribute ◽  
Aggregation Of Information

In the age of the knowledge-based economy and the rapid development of information technology, enterprise management is facing great challenges and has entered an era of prudent management. Traditional enterprise performance evaluation focuses on the interests of shareholders. Investors take financial data as their base and pay attention to the study of material attraction and the results; if they do not, they cannot adjust to a new economy period. Therefore, enterprise performance reflects the interests of shareholders and business strategists for the needs of stakeholders, which is important for the future of lively competition. With that in mind, aggregation of information is an important research tool that has recently drawn the attention of researchers for information analysis. In this paper, we have developed multiple-attribute decision-making methods for enterprise performance evaluation with picture fuzzy information. We have applied Hamacher aggregation operators such as the picture fuzzy Hamacher weighted averaging (PFHWA) operator and picture fuzzy Hamacher weighted geometric (PFHWG) operator in picture fuzzy environment for the assessment of the best enterprise selection. Finally, we justified the proposed approach with the existing methods for feasibility and effectiveness.

A nonlinear regression analysis method based on Stakeholder Theory Model for performance evaluation of poverty reduction of agricultural operators

2019 ◽  
pp. 002072091989420
Author(s):  
Zhenmin Wang
Keyword(s):  
Regression Analysis ◽  
Performance Evaluation ◽  
Stakeholder Theory ◽  
Nonlinear Regression ◽  
Poverty Reduction ◽  
Least Squares Method ◽  
Theory Model ◽  
Analysis Method ◽  
Nonlinear Regression Analysis ◽  
Policy Supply

A nonlinear regression analysis method for performance evaluation of poverty reduction of agricultural operators based on Stakeholder Theory Model analysis was proposed to improve the effectiveness of performance evaluation of poverty reduction of a new type agricultural operator in poverty-stricken areas. Firstly, it can find out which interest demands of different stakeholders and which interest realization paths have significant impact on the task performance and peripheral performance of the policy supply of new agricultural operators through factor analysis and regression analysis of the questionnaire data of stakeholders to provide sufficient basis for the appropriate revision and adjustment of policy supply; secondly, the nonlinear regression model is established by using the nonlinear least squares method to fit, control, and forecast the performance evaluation of poverty reduction behavior of agricultural operators, which is more accurate than linear regression in both object and method. Finally, the effectiveness of the proposed algorithm is verified by empirical analysis.

A Three-Component Framework for Trade Show Performance Evaluation

2015 ◽  
Vol 42 (6) ◽  
pp. 855-879 ◽  
Author(s):  
Yeqiang Lin ◽  
Jeff Jiang ◽  
Deborah Kerstetter
Keyword(s):  
Performance Evaluation ◽  
Stakeholder Theory ◽  
Behavioral Intention ◽  
Evaluation Framework ◽  
The Other ◽  
Three Dimensions ◽  
Trade Show ◽  
Key Stakeholders ◽  
Evaluation Models ◽  
Using Data

The purpose of this study was to propose and examine a three-component trade show evaluation framework on exhibitors’ and visitors’ performance that accounts for the relationships between all three key stakeholders (i.e., visitors, exhibitors, and organizers). After a review of previous literature on stakeholder theory and trade show performance evaluation, the visitor–exhibitor–organizer (VEO) framework was proposed to examine dimensions of overall satisfaction of trade show exhibitors and visitors. Based on the VEO framework, exhibitor and visitor performance evaluation models consist of three components that address three corresponding stakeholders: satisfaction with self-performance and satisfaction with the other two key stakeholders, respectively. To validate the framework, exhibitor and visitor models were tested using data from 514 visitors and 92 exhibitors. The results validated the VEO framework by indicating that the three key stakeholders must be accounted for when evaluating trade show performance. All three dimensions (i.e., satisfaction with self-performance, and the other two stakeholders) contributed to overall satisfaction and positive behavioral intention.

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