Statistical Analysis Of Consumer Purchase Intention For Managerial Decision-Making In Commodity Markets: Evidence From The Indian Steel Industry

In Indian retail steel market, managerial decisions to position the brand, quality communication, price and access to the market require evidence on the factors associated with consumer purchase intention. This study delves into the same relationship with the help of structured questionnaire response from consumers of the Tier 2 and Tier 3 cities of Karnataka and Maharashtra. This difference between the number of observations (152 in SPSS tables; 150 in sampling description) needs to be checked against the original data set. Pearson correlations, multiple linear regressions and a brand-logo comparison were employed in the analysis of purchasing intentions. The model with five predictors explained 58.7% of the variance (with R² = 0.587). None of the adjusted non-significant variables were brand awareness, perceived quality and price perception. In the reported Logo comparison, the purchase intention was found to be lower in the Logo group (ArcelorMittal) when compared with the No Logo (control) group. Sustainability and digital communication are still important, proposed considerations but were not demonstrated to have independent impact by the regression outputs displayed. How the study has interpreted these findings are used as evidence for assessing priorities within marketing rather than causal sales or resource optimisation gains.