Name
Abstract | ||
|---|---|---|
With the rise of corporate social responsibility (CSR) and the great changes of the organization scale of the modern enterprise, it is difficult to maintain an ideal development only by maximizing the equity of shareholders. The co-governance of stakeholders can meet the interests of all stakeholders, which is the embodiment of corporate social responsibility in corporate governance. The creation and sharing of enterprise values are the foundation of the coexistence of stakeholders. A rational allocation of the limited enterprise values among stakeholders plays a crucial role in balancing their relationship and realizing the sustainable development of the enterprise. Based on the application of corporate social responsibility in stakeholder governance, this paper constructs a stakeholder symbiosis evolution model with the help of symbiosis theory. By solving the differential equation, the symbiotic evolution path of stakeholders is analyzed. The dynamic mechanism of stakeholder Symbiosis evolution is analyzed by using the system analysis method and evolution theory. The dynamic mechanism of the population evolution of stakeholders is represented in an original graphical manner to describe the symbiotic evolution process of stakeholders. Lastly, we use the numerical simulation method to simulate different symbiosis models which are reflected by different symbiosis coefficients. It is concluded that the symmetric mutual benefit symbiosis model is the most effective model to reflect corporate social responsibility. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/sym12111897 | SYMMETRY-BASEL |
Keywords | DocType | Volume |
corporate social responsibility (CSR),stakeholders theory,symbiosis theory,symmetric mutual benefit symbiosis model,symbiotic evolutionary model,evolutionary dynamic mechanism | Journal | 12 |
Issue | Citations | PageRank |
11 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danli Wang | 1 | 0 | 0.34 |
| Weidong Zhu | 2 | 0 | 0.34 |
| Chao Zhang | 3 | 939 | 103.66 |
| Hongyi Li | 4 | 1383 | 77.85 |
| Yong Wu | 5 | 2 | 1.37 |