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3945. Developing knowledge-driven hybrid models for corporate towards ESG
Invited abstract in session WC-59: OR in Accounting: Performance and ESG, stream OR in Financial and Management Accounting.
Wednesday, 12:30-14:00Room: S08 (building: 101)
Authors (first author is the speaker)
| 1. | Lai Ii wen
|
| Accounting department, National Taipei University | |
| 2. | HUANG SUN-WENG.
|
| Department of Health Care Management, National Taipei University of Nursing and Health Sciences | |
| 3. | Ho hsiao hua
|
| Math, HSINCHU COUNTY ER CHONG JUNIOR HIGH SCHOOL |
Abstract
Nowadays, whether corporate can effectively implement and develop ESG has become a basic public evaluation indicator.
However, the implementation and development of ESG has a significant impact on business performance. How to develop ESG to enhance corporate performance has become a focal point global companies stress.
Therefore, this study develops a knowledge-driven hybrid model to explore the key path to the development of ESG in improving corporate operating performance.
First, we define the target company and use m-VIKOR technology to conduct a comprehensive assessment of the company's ESG and operating performance.
Second, we use ESG and business performance analysis to differentiate target companies.
Third, a study is conducted based on the core and rules of data mining exploration influence.
Finally, we develop an effective development path based on the rules.
This research will help companies implement ESG development and help with climate change.
Keywords
- Accounting
- Critical Decision Making
- Fuzzy Sets and Systems
Status: accepted
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