Edited by David Crowther and Linne Lauesen
Chapter 12: Regression techniques and their application in the corporate social responsibility domain: an overview
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.
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