Today, industries are compelled to manufacture the products of excellent quality to meet the ever-increasing consumer demands competitively. Hence, implementing Industry 4.0 is becoming essentially the new age solution for industrial operations. This study attempts to categorise the important technological enablers for the Indian manufacturing industry in implementing Industry 4.0. In this context, 14 selected and identified enablers, namely Visual Computing, Big Data, Product Life Cycle Management, Supply Chain, Top Level Management, Collaborative Productivity, Internet of Things, Horizontal and Vertical Integration, Mass Customisation, Cyber-Physical System, Additive Manufacturing, Professional Training and Development, Networked Manufacturing Systems and Operational Efficiency, are identified through the review of literature and expert’s opinion for implementing Industry 4.0. Interpretive structural modelling (ISM) methodology is employed to appreciate the mutual relationships among the identified enablers. Furthermore, contextual interactions among the enablers are established by brainstorming with experts. The identified 14 technological enablers are further classified as dependent and driving factors. Later, the validation of the factors is done by MICMAC analysis. The interactions amongst these enablers will help the manufacturing organisations to prioritise and administer these factors efficiently and effectively to reap benefits during the implementation of Industry 4.0. Therefore, this study analyses the enablers to implement Industry 4.0 in the manufacturing industries. Also, it develops an interpretive framework that will help understand the interdependence of the enablers.

Quality education is considered to be pivotal and imperative in the present context of cut-throat competition. This has prompted higher educational institutions to go for a quality model. Responding to the stakeholders’ expectations and the government's regulations, most of the engineering institutions in India have implemented one or two of the quality management concepts in a bid to maintain quality in education. In compliance with the above, a comprehensive quality model called IEQMS (Integrated Educational Quality Management System) was developed incorporating the important dimensions from the following quality concepts. The quality concepts are ISO 9001:2008 Quality Management System, ISO 14001:2004 Environmental Management System, Occupational Health and Safety Management System, Six Sigma (Define–Measure–Analyse–Improve–Control [DMAIC] Methodology), Knowledge Management, Lean Thinking, and Total Quality Management. The objective of this paper is to evaluate the importance of the critical success factors in the implementation of the IEQMS model in Engineering Educational Institutions from the perspective of members of faculty. For this purpose, data were collected from 324 faculty members of engineering colleges in India through a structured, validated, and standardised questionnaire. The model fit was established by using the structural equation modelling technique. The findings of the research showed the goodness of the model fit.