Predicting stakeholder perspective of alternative dispute resolution in the construction industry using ordinary least square regression

The construction industry over the years has seen changes and advancements in almost all areas such as planning, execution, etc. However, alternative dispute resolution (ADR) is an important aspect with regard to the dispute mitigation process, which still needs to be implemented in a full-fledged manner. It is, therefore, important to gather the perspectives of all the stakeholders involved in the process of the dispute resolution for a wholesome understanding. The present study focuses on the stakeholders’ understanding of ADR. This provides a deeper knowledge of what is the trend among the stakeholders and how different is the variation regarding ADR among different groups of stakeholders. The data collected through a questionnaire from 191 participants is taken for statistical analysis to understand the areas that need attention. The findings from this study highlight the minimal knowledge of ADR among the stakeholders. Furthermore, ANOVA is used to understand the correlation among the research questions. The data set consisted of five independent variables (Likert scale ratings) and three dependent variables. Ordinary least square (OLS), a regression technique, is used to predict each of the three descriptive statistics (mean, standard deviation [SD] and variance). A significant correlation between the mean, SD and variance was observed. A higher R² value obtained through analysis also highlights the accuracy of the prediction. For dispute mitigation in the construction industry, findings suggest that improvements in policy making and creating awareness are the key aspects for successful ADR implementation.