Data Analysis

This chapter serves a dual purpose: firstly, it delves into survey data using appropriate techniques for basic data analysis, and secondly, it explores the survey constructs within the research model using Partial Least Square based Structural Equation Modelling (PLS-SEM) and presents the empirical findings. The chapter begins with a brief overview of the data entry and preparation process, followed by a discussion on data management and preparation. It then proceeds to basic analysis, starting with demographic analysis to provide insights into respondent information and participating companies. Descriptive analysis follows, offering an overview of the research model variables by examining mean, standard deviation, skewness, and kurtosis in the sample population to assess normality. Additional statistical tests are conducted to evaluate normality, reliability, and identify common method bias in the collected data.