Predominant Similarities and Dissimilarities in Technology Adoption: Why and How the Textile Industry Incorporates Sustainable Manufacturing Adoption

Abstract

The textile organizations are increasingly focusing on the adoption of sustainable manufacturing (SM) practices to improve environmental performance while maintaining competitiveness. However, the adoption of such technologies varies across organizations because of differences in organizational capabilities, technological readiness, and institutional pressures. This study investigates the similarities and dissimilarities in technology adoption that influence the implementation of SM in the textile industry. Although SM practices are widely recognized as essential, their implementation remains limited due to various industry-specific constraints. To achieve the research objective, four hypotheses were formulated and empirically tested through a questionnaire-based survey conducted among Indian textile manufacturing organizations. The collected data were analyzed using SPSS 26.0. Initially, reliability analysis was conducted to ensure the internal consistency of the questionnaires. Subsequently, the Kaiser–Meyer–Olkin (KMO) and Bartlett's Test of Sphericity were applied to verify sampling adequacy and data suitability for factor analysis. Principal Component Analysis (PCA) was then used to reduce data dimensionality and identify the key factors influencing technology adoption. Further, regression analysis was performed to examine the relationships between the identified factors, while Analysis of Variance (ANOVA) was applied to determine whether significant differences exist in technological adoption practices among organizations. The findings of the study provide valuable insights for industry practitioners and policymakers to develop effective strategies that encourage technology adoption in the textile sector and highlight future research directions for advancing SM implementation in the industries.