A new conceptual framework integrating environment into corporate performance evaluation

2005 ◽  
Vol 13 (2) ◽  
pp. 79-90 ◽  
Author(s):  
Her-Jiun Sheu ◽  
Shih-Fang Lo
Keyword(s):  
Performance Evaluation ◽  
Conceptual Framework ◽  
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 Performance Evaluation System for Professional Support Personnel

1992 ◽  
Vol 14 (2) ◽  
pp. 175-180 ◽  
Author(s):  
James H. Stronge ◽  
Virginia M. Helm
Keyword(s):  
Performance Evaluation ◽  
Conceptual Framework ◽  
Evaluation System ◽  
Professional Support ◽  
Classroom Teachers ◽  
Support Personnel ◽  
Education Professionals ◽  
Performance Evaluation System ◽  
System Characteristics ◽  
A Performance

The evaluation of educators has focused historically on classroom teachers, although the last decade brought additional attention to the evaluation of principals and superintendents. This note presents a performance evaluation system designed for evaluating professional support personnel (e.g., counselors, deans, librarians). A conceptual framework for the system is provided, including recommended steps in evaluating support personnel and emphasizing both goal and improvement orientations. Finally, while the evaluation system is designed for professional support personnel, system characteristics that may be generalizable to other education professionals are discussed.

scholarly journals Towards green building performance evaluation using asset information modelling

2015 ◽  
Vol 5 (3) ◽  
pp. 290-303 ◽  
Author(s):  
Zaid Alwan ◽  
Barry J. Gledson
Keyword(s):  
Performance Evaluation ◽  
Conceptual Framework ◽  
Asset Management ◽  
Green Building ◽  
Facility Management ◽  
Management Systems ◽  
Building Performance ◽  
Content Type ◽  
Existing Building ◽  
Information Modelling

Purpose – The purpose of this paper is to provide a unique conceptual framework for integrated asset management strategy that includes making use of available facility assessment methods and tools such as BREEAM In-Use, and Leadership in Energy and Environmental Design (LEED); and highlights proposes areas of commonality between these and the use of as-built Building Information Modelling, that ultimately becomes the Asset Information Model (AIM). This framework will consider the emerging requirements for the capture of Building Performance Attribute Data (BPAD), and how these can be managed in order to assist with effective post-construction building performance evaluation. Design/methodology/approach – A review of the current process relevant to the development of as-built BIMs and AIMs was undertaken which included a discussion of BIM standards and of the COBie process. This was combined with data provided by industry practitioners. This led to the concept of BPADs being developed, to be used within existing green building tool, BREEAM In-Use, COBIE and FM/Asset management methods. In turn these methodologies were used to identify possible synergies and areas of integration in AIM-enabled environments. Findings – Recognising the cyclical nature of asset management and BIM, a conceptual model was generated. It was found that BPADs could be aggregated within an AIM model which could influence the delivery of effective facilities and asset management. The model considers the use of existing Building Management Systems (BMS) and Computer Aided Facility Management Systems (CAFMs) and identifies issues associated with the overall sustainability strategy. Originality/value – A conceptual framework is generated that proposes the use of effective information management and aggregation of BPAD within an AIM.

Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning

2002 ◽  
Vol 35 (5) ◽  
pp. 1025-1037 ◽  
Author(s):  
C. De Stefano ◽  
A. Della Cioppa ◽  
A. Marcelli
Keyword(s):  
Performance Evaluation ◽  
Conceptual Framework

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.

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