Volume 7 Number 7 (Jul. 2012)
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JSW 2012 Vol.7(7): 1569-1576 ISSN: 1796-217X
doi: 10.4304/jsw.7.7.1569-1576

Empirical Study on Senior Managers and Performances in Companies of High-Tech based on SPSS Software Regression Analysis

Liu Ye, Yanbo Zhang, Feng Liang, and Wang Duo

School of Business Administration, Northeastern University, Shenyang, P.R. China

Abstract—Different from the separation between ownership and corporate right of control in traditional companies, human capital and the invisible assets under its control contributes more to the corporate value in high-tech companies than the visible ones. There are many differences between the corporate governance in high-tech companies and the standardized ones, some of which are even essential differences. Such differences come mainly from the value of human capital and collective cooperation in high-tech companies. An empirical study can be conducted here on senior managers’ characteristics and performances of high-tech companies by SPSS software. The results indicate that in the heated competition among high-tech companies there is a significant positive correlation between ROE and Tobin’s Q, and between ROE and the summation of proportion of stocks held by senior managers, and also between ROE and the average salary of senior managers. It is suggested that high-tech companies should well select the managers, increase the proportion of stocks held by them and improve the salary system for them, and all of these will lead to the reduction of the agency cost and also the improvement of company’s performances.

Index Terms—high-tech company, senior managers, corporate governance, SPSS software, empirical study

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Cite: Liu Ye, Yanbo Zhang, Feng Liang, and Wang Duo, "Empirical Study on Senior Managers and Performances in Companies of High-Tech based on SPSS Software Regression Analysis," Journal of Software vol. 7, no. 7, pp. 569-1576, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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