Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

Research about the Influence of Incentive Method towards Executive on Corporation Performance Based on Multiple Regression Model

Authors
Nanhao Wang, Yichong Tang, Fan Liang
Corresponding Author
Nanhao Wang
Available Online January 2017.
DOI
https://doi.org/10.2991/icefs-17.2017.55How to use a DOI?
Keywords
Multiple Regression, Principal Agent Theory, Incentive Theory, SPSS
Abstract
With the advent of economic globalization, the corporation plays a vital role in the development of economy. Contemporary society is confronted with a common difficulty that how to manage corporations effectively, and how to maximize corporation revenue. According to the Principal Agent Theory, the division of ownership and management right makes it limited to develop corporations. This paper intends to explore how to improve the corporation performance by providing executives with proper incentive system, based on the Incentive Theory. Furthermore, we use statistical software SPSS to validate the relationship between incentive method toward executive and corporation performance based on multiple regression model, and hope that the result of this paper could bring realistic meanings to contemporary enterprises.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.55How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Nanhao Wang
AU  - Yichong Tang
AU  - Fan Liang
PY  - 2017/01
DA  - 2017/01
TI  - Research about the Influence of Incentive Method towards Executive on Corporation Performance Based on Multiple Regression Model
BT  - 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 424
EP  - 430
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.55
DO  - https://doi.org/10.2991/icefs-17.2017.55
ID  - Wang2017/01
ER  -