How Gender of Manager/director Influences the Csr of a Company

HOW GENDER OF MANAGER/DIRECTOR INFLUENCES THE CSR OF A COMPANY.

FINDINGS AND DISCUSSION.

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How Gender of Manager/Director influences the CSR of a Company.

Findings and Discussion

Introduction

In this chapter we describe the aggregated results from both the mixed data collection methods(qualitative and quantitative) and bring together the findings in the previous chapter and also to address each research question posed.

Summary and discussion

Over years the effect of globalization and technological advances has fast manifested itself on the relationship between an organization and its stakeholders.This relationship has evolved and thus requiring a board of directors which would steer it from the traditional style of management to a proactive role (Hung 2011: 397).In short,the roles and responsibilities of the various boards have been steered clear from the traditional method whereby the main shareholder  was the center focus to a method which focuses on the satisfaction of each and every shareholder since they are important in the growth of the company.

With this in mind,the diversity of the management is fast becoming a factor of consideration in CSR with the area being a great research front.

The figure  below shows how the mixture of both methods will work:[pic 1][pic 2]

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Methods used In The Quantitative Analysis

Coding Instruments and Categorization

A data set was introduced for this paper based on multiple sources.The data was computed in four databases which included Board ex,Kinder,Lyndenberg & Domini which analyzes trends in socio-environmental perfomance,Compustat North America which is used to keep tabs with developments and financial performances of firms in the United states and finally Audit analytics which helped in the building of our control variable which was activism of the shareholders.

In order to finalize each sample of the analytics of a co-relation between the female gender in the board and the rating of a company’s corporate social responsibility, we identified 1000  companies established from 2005-2015 and combined data required to construct a variable for each company using  the CUSIP’s software with data from each of the named databases.

Board Ex was identified as a suitable software since its operations began in the early 2000’s but we gave it a five year head start so as to get legitimate and concise data. With consideration to the right-hand side variables like the board level variable,we made sure to lag one year in infantile fixation models so as ensure there is no causality reverses.Every observation with missing data was chucked off the record along with others that showed aberrant values located in the original control variables like revenue collection and the growth of sales.These abnormal values did not change our final results in any way.