Handbook of Research Methods in Corporate Social Responsibility
Show Less

Handbook of Research Methods in Corporate Social Responsibility

Edited by David Crowther and Linne Lauesen

Corporate social responsibility now touches upon most aspects of the interaction between business and society. The approaches taken to research in this area are as varied as the topics that are researched; yet this is the first book to address the whole range of methods available. The book identifies the methods available, evaluates their use and discusses the circumstances in which they might be appropriate. It also includes forward-thinking guidance from experienced academics on the future directions of research in the area.
Buy Book in Print
Show Summary Details
You do not have access to this content

Chapter 12: Regression techniques and their application in the corporate social responsibility domain: an overview

Sonali Bhattacharya, Madhvi Sethi, Abhishek Behl and V.G. Venkatesh

Abstract

Regression analysis is one of the most frequently used tools in market research. In its simplest form, regression analysis allows researchers to analyse relationships between one independent and one dependent variable. In corporate social responsibility domain applications, the dependent variable is usually the outcome we care about (e.g., beneficiaries), while the independent variables are the instruments we have to achieve those outcomes with (e.g., economic and legal responsibility). Knowing about the fact that the relative strength of effects is useful for companies as it may help answer questions such as if the behaviour depends more strongly on types of factors such as societal or environmental factors. Most importantly, regression analysis will help to compare the effects of variables measured on different scales. Regression analysis can also help make predictions which are precise and can be used to study the dynamics of a company in future. A corporate social responsibility (CSR) team can thus strategize plans and allocate funds for proper and effective outputs. Similarly, different CSR research works used regression analysis for the various objectives. In the current CSR research domain, it is important to understand the fundamentals of regression analysis and various usages of the techniques. The chapter will also discuss various advanced techniques and their applications in the CSR domain. It would lead the researchers to diligently choose those relevant variant techniques in the research.

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.


Further information

or login to access all content.