scholarly journals Research of the Corporate Performance Evaluation Indicators Based on the Stakeholder Theory

2015 ◽  
Vol 03 (07) ◽  
pp. 111-116 ◽  
Author(s):  
Qi Zhang
Keyword(s):  
Performance Evaluation ◽  
Stakeholder Theory ◽  
Corporate Performance

Corporate performance evaluation: a multicriteria methodology and an application on the Athens Stock Exchange

2011 ◽  
Vol 4 (6) ◽  
pp. 645
Author(s):  
Panagiotis Xidonas ◽  
George Mavrotas ◽  
Theodore Krintas ◽  
Dimitrios Askounis ◽  
Charilaos Mertzanis ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Corporate Performance ◽  
Stock Exchange ◽  
Athens Stock Exchange ◽  
Multicriteria Methodology

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.

scholarly journals Influence of the enterprise’s intelligent performance evaluation model using neural network and genetic algorithm on the performance compensation of the merger and acquisition parties in the commitment period

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248727
Author(s):  
Yuanyuan Luo ◽  
Da Ren
Keyword(s):  
Genetic Algorithm ◽  
Performance Evaluation ◽  
Performance Appraisal ◽  
Corporate Performance ◽  
Evaluation Model ◽  
Enterprise Performance ◽  
Compensation Mechanism ◽  
Commitment Period ◽  
Performance Evaluation Model ◽  
The Impact

The purpose is to study the performance compensation of the bid purchased during the mergers and acquisitions (M&A) process. An intelligent model of enterprise performance appraisal is built to analyze the performances of the acquired enterprises. First, the evaluation indicators of enterprise performance are selected from both financial and non-financial aspects. An enterprise performance appraisal model is established based on the neural networks and optimized by the factor analysis method and Genetic Algorithm (GA). The principal factors affecting enterprise performance are analyzed. Then the M&A parties’ performances during the M&A commitment period under the earnings compensation mechanism are analyzed quantitatively. Corresponding hypotheses and evaluation indicators are established. Mean test results and regression analyses demonstrate that the hypotheses proposed are valid under particular circumstances. Introducing the earnings compensation mechanism during the M&A process can improve the enterprise performance effectively so that the earnings forecasted in the commitment period are significantly higher than the historical profitability. Hence, the earnings compensation mechanism plays a positive role in guiding enterprise performance. Comparison with models proposed in previous research reveals that the output error ratio of the designed corporate performance evaluation model is 1.16%, which can effectively evaluate corporate performance. The above results provide a reference for studying the impact of the earnings compensation mechanism on enterprise performance during the M&A process.

scholarly journals Application of Heterogeneous Network Oriented to NoSQL Database in Optimal Postevaluation Indexes of Construction Projects

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Airong Yang ◽  
Guoxin Yu
Keyword(s):  
Performance Evaluation ◽  
Data Storage ◽  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
Relational Databases ◽  
Corporate Performance ◽  
High Growth ◽  
Third Party ◽  
Project Leader ◽  
Nosql Database

With the advent of the Internet Web 2.0 era, storage devices used to store website data are developing at an ever-increasing high-growth rate and a diversified trend. The focus on the structured data storage model has reduced the responsiveness of traditional relational databases to data changes. NoSQL database is scalable, has a powerful and flexible data model and a large amount of data, and has an increasing application potential in the memory field. Heterogeneous networks are composed of third-party computers, network equipment, and systems. Network types are usually used for other protocols to support other functions and applications. The research on heterogeneous networks can be traced back to the BARWAN project that started in 1995 at the University of California, Berkeley. The project leader RHKatz merged multiple types of nested networks for the first time to form heterogeneous network requirements for various future terminal services. Construction engineering refers to an engineering entity formed by installing pipelines and equipment that support the construction of various houses and ancillary facilities. “House construction” refers to projects with roofs, beams, columns, walls, and foundations that can form internal spaces to meet people’s needs in production, living, learning, and public activities. Among them, the engineering evaluation index is a statistical index used to evaluate and compare the quality and effects of social and economic activities through the use of equipment, such as capital turnover rate and employee labor efficiency. It is the exchange of corporate performance evaluation content and the expression of corporate performance evaluation content.

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