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The purpose of this research paper is to study the digital accelerators in conjunction with lean manufacturing enablers in the technology driven Industry 4.0 (I4.0) and understand their interrelationship dynamics with a goal to accelerate the pace of manufacturing excellence.

Literature review coupled with the focus group approach facilitated to cull the key accelerating enablers to lean in I4.0. Thereafter, application of the multi criteria decision making methodology–DEMATEL (Decision Making Trial and Evaluation Laboratory) was carried out for analysis.

A total of 18 factors from the integration of lean in I4.0 were identified from the focus group approach. The analysis from DEMATEL approach reflected that big data analytics and technology driven talent were the two most important factors in the manufacturing excellence journey. Leadership standard work and continuous improvement culture were the two key cause category factors, while, just in time the critical effect category factor.

Analysis from DEMATEL approach has provided useful insights to industry leaders with the details of the degree of importance and type of influencing factors. It has given them direction in areas of investment to face the challenges of smart factories of tomorrow for sustainability.

Application of DEMATEL approach for analyzing the dynamics of the 18 factors in the integrated lean systems in I4.0 for manufacturing excellence.

Micro, Small, Medium Enterprises (MSMEs) are witnessing an accelerated transformation by the advent of Industry-4.0 (I4.0) in the post-pandemic period. It is offering promising customer responsiveness, competitiveness, business growth and sustainability and thereby, compelling its integration to MSMEs. Therefore, it is imperative for researchers to explore Industry 4.0 challenges and their specific implementation requirements and also provide useful insights to the stakeholders.

This research paper has identified, explained and analysed various determinants of the I4.0 implementation, in MSME context. Focus group approach has been applied for taking inputs from experts for developing the House of Quality (HOQ) tool of the Quality Function Deployment (QFD) methodology from the Total Quality Management (TQM) tool-box.

Based on the responses and after applying QFD, a conceptual model suggesting relevant strategies to execute I4.0 by Indian MSMEs has been developed. The model highlights three key challenges being faced by the Indian MSMEs –Top management support, Incompatible resources and Transition cost. The model also reveals vital few designer's descriptors – Cultural reorientation, IT enabled digitization, Process automation and knowledge and skill in I4.0 implementation (Knowhow) for a structured implementation of I4.0.

The evolved HOQ framework has provided some useful insights - priority areas in the MSME challenges and the designer's descriptors for I4.0 implementation in MSME. The research has also provided the understanding of the dynamics between the I4.0 components through the 10 × 10 interrelationship matrix of the HOQ. Farsighted MSME leaders, practising consultants, sourcing managers and policy makers can use the developed framework as a reference in formulating tactics to mitigate the I4.0 implementation barriers.

The non-conventional application of HOQ in the QFD approach from the TQM tool-box is a useful value addition to the TQM practitioners. The useful insights to the MSME leaders, policy makers, sourcing managers of OEM, consultants engaged in I4.0 transformation and academic researchers are the other contribution.

The paper aims at fulfilling two purposes: (1) to enrich young production shop floor managers to understand and appreciate the different dimensions of manufacturing excellence and (2) to provide a comprehensive industry-based case study to a faculty involved in the teaching-learning process of Lean systems to the Business school management students.

Imparting learnings through a real-life case study from a manufacturing industry, which successfully doubled its delivery capacity using the project management and Lean systems approach. Value flow techniques have been utilised in the production shop floor.

Effective implementation of lean thinking can significantly facilitate enhancing plant capacity within the original shop floor area and without hindering the delivery to the customers with growing demand. Outcomes of the plant transformation re-emphasised that effective leadership, a well-constituted project team, project management tools, applied knowledge of lean enablers and its metrics and management's engagement are the critical success factors.

The case has been automotive industry driven.

This real life industry case study is expected to enrich not only the management graduates who would be industry leaders tomorrow but also the practising young shop floor managers who aspire to achieve manufacturing excellence through lean enablers and metrics.

Useful real-life industry-based Lean manufacturing case study to be utilised by the business school faculty members in their class to enrich students/young practising managers.

The Healthcare sector is one of the important sectors of the Service Industry. It is believed that in this sector, the customer server relationship is very critical, and even the slightest gap in the people quality may have a huge impact on the delivered service quality. Some of these enablers are doctors, nursing staff and support staff. Furthermore, the nonpeople quality enablers such as diagnostic services, facilities, hygiene levels and so on are also likely to impact the delivered service quality. It was also felt that the degree of impact each enabler has on the service quality could vary. Therefore there is a need for structured and deep analysis. The paper attempts to identify, analyze and prioritize the enablers that impact the delivered service quality.

The enablers have been identified through literature review and inputs from experts in the healthcare fraternity. The authors have explored different decision-making tools such as analytic hierarchy process (AHP), analytic network process (ANP), stepwise weight assessment ratio analysis, Hybrid Model and DEMATEL (Decision-Making Trial and Evaluation Laboratory) for the analysis of data in this paper. Based on the strengths of the approach and careful considerations by focus group discussions, DEMATEL was chosen as the best option. It is simple, unique, sparingly used in the healthcare sector, effective in prioritizing and gives meaningful insights on importance, cause and effect factors. DEMATEL approach converts the complex problem with interrelated factors into a clear structure that makes simple interrelationships among factors in the form of cause and effects digraph, and hence, the authors chose to use it. A case study in one of the hospitals has also been conducted to demonstrate the applicability of the developed index. The case study very strongly validates the developed index.

This research paper has found that there are people quality enablers such as the doctor, nursing staff, support staff and nonpeople quality enablers such as facilities, diagnostic services and hygiene levels maintenance, which impact the delivered service quality. It also concludes that the delivered service quality depends not only on the quality but also on the availability of these enablers. The inputs received from the experts have been run through the DEMATEL methodology and importance computed for each. The top five priority enablers are Quality of Doctor, Availability of Doctor, Quality of Support Staff, Quality of Nursing Staff and Availability of Support Staff.

The weights of the enablers have been obtained using the DEMATEL tool. These weights have been calculated using the inputs from 22 experts, which meets the statistical requirement (Skulmoski, 2007). However, a larger group of experts can be reached, and based on the inputs received from them, the tool can be revalidated for repeatability and reproducibility. Using Fuzzy DEMATEL can also be explored for further analysis.

The proposed framework to assess the service quality level of a healthcare organization is based on a sound approach of DEMATEL. The service index arrived, thereafter, can be used to rate the delivered service quality by any healthcare organization. It can be used to compare the similar type of healthcare organizations across locations. This Index can facilitate improvements in the healthcare organization through internal and external benchmarking. It also helps the organization to know the gaps, understand the root cause, improve upon them and become the best in class. This Index uses the inputs from the end customers to calculate the rating, which makes it more reliable and accurate. The overall scores obtained from the Index can provide the ranking to the healthcare providing organizations and options to customers to choose from best. The service quality index can be used by an organization to continuously monitor their delivered service quality scores and improve them to become the best in class. The research paper highlights the significant role played by the people quality and its strong impact/contribution on the delivered service quality. Hence, it is believed that it will encourage the healthcare organizations to prioritize the improvement and upgrade of the people quality over the nonpeople quality aspect.

Putting people and nonpeople quality enablers in one single model and assigning weights to them using the DEMATEL approach is a new application in healthcare. Developing an Index to measure the delivered service quality in the healthcare sector is also different and new.

Manufacturing sector growth continues to be topical in the growth journey of Indian economy. The purpose of this paper is to present the modelling and analysis of the combined impact of three key driving sub-systems on the Indian manufacturing growth. It has provided relevant insights and recommendations for its sustainable growth.

The impact of three key driving sub-systems: quality of highway-related infrastructure, manufacturing labour productivity and circular material-consumption in the growth of manufacturing has been studied. A System Dynamics (SD) based model to understand long-term implications of the policy variables on manufacturing growth has been developed. Five scenarios have been simulated for analysis.

Seven policy variables have been identified which have a significant impact on Indian manufacturing growth. Some relevant insights from the analysis of SD based system-behaviour have been provided which would facilitate the manufacturing growth.

The paper has addressed the dynamics of only three sub-systems in the study of manufacturing growth. The other sub-systems which also have an impact on the manufacturing growth: Good governance, education quality and technology are recommended to be studied through SD based modelling.

Specific recommendations for accelerating the manufacturing growth have been made in the paper which has strong practical implications for growth of Indian economy.

Manufacturing sector continues to have a significant impact on the prosperity of India. It facilitates in enhancement of employment and the micro-economic health aspects. Therefore, there is a need to understand the dynamics of the key policy variables affecting manufacturing growth which is very relevant for the society at large.

An application of the SD approach to analyse long-term implication of policy variables of three sub-systems that have a significant impact in manufacturing growth and five specific recommendations to the policy makers is the value-add.

The education sector acts as an input for every other sector and contributes around 7% to the service industry; hence, it is important to identify, measure and analyze the drivers that impact the delivered service quality.

This paper used different approaches to identify measure and analyze the drivers that impact the service quality. In addition to a thorough literature review, qualitative tools like brainstorming, the focused group technique, and the survey technique have been used. Decision-making tools like the analytic hierarchy process (AHP), and a quantitative tool, one-sample t-test, with the help of MINITAB software, were used to analyze the inputs received from 179 experts. By using the stated approach, the planned research outcomes have been achieved.

Quality of teachers, quality of students, quality of policies, and quality of facilities have been identified as the key drivers that impact quality of education. The paper highlights that the people quality drivers play a significantly important role in the quality of education when compared to the quality of non-people drivers. From the statistical analysis of the hypotheses, it was inferred that the People quality consisting of the quality of a teacher and the quality of students are the two prominent drivers to the Quality of education. This paper demonstrates the importance of the quality of a teacher and its significance to the quality of education. The recommendations made might be considered for the implementation, which can improve the quality of education in the country.

This paper is focused on the data collected from the experts in the top-ranked management institutes only. The data from the experts from undergraduate institutions and other management institutes could have added more value.

In the paper, the drivers were identified and further analyzed to suggest that teacher quality is a dominant driver of education quality. The findings also suggest that there should be a high focus on having a great quality teacher as compared to the facilities. The weights identified will enable the researcher to arrive at the overall quality scores of any Institute. As a part of the process, the user just needs to collect the ratings from the end customers (the parents of the students) against each driver, and the institute level scores can be derived. These scores can then be used by the Institute's management to analyze the results and improve upon the weak areas to improve the delivered service quality in the education sector.

A holistic approach to exploring major drivers that impact the quality of education is a new approach. Moreover, using different tools like AHP, hypothesis testing, t-test, using the coefficient of variation in a single paper has not been attempted before. The revalidations of accepted hypotheses with respondents is also a new approach.

The accelerating business transformation through Industry 4.0 (I4.0) is expected to create significant value in the manufacturing industry by delivering considerably high productivity, superior quality, better efficiency and effectiveness. However, its evolutionary processes have far-reaching challenging for humanity. This has triggered a need to analyze the impact of I4.0 on various people-centric variables (PCVs).

This paper attempts to analyze the interrelationship dynamics between the PCVs in the current digital-industry ecosystem using a focus-group approach and causal loop diagrams. Application of the SWARA (stepwise weight assessment ratio analysis) methodology has provided its prioritized ranking in terms of importance.

The study has highlighted that I4.0 has a significant influence on five of the 13 PCVs – human quality of life, digital dexterity, high-skilled talent, low-skilled employment and creativity which contribute to 80% of the total impact.

The prioritized weights of the human factors from the SWARA approach have facilitated the assessment of the Human Resource Development Index (HRDI). The study is also contributing in enriching the literature on the human impact of the growing I4.0 and triggered the researchers to study further its adverse impact on critical human factors.

1. The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.

2. This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.

3. The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.

4. The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.

The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.

This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.

The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.

The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.

The decision to select one amongst many choices of higher education institutions (HEIs) is a complex process. At a theory-building level, this study investigates the determinants of students' decisions as they consider investing in a long-term credence service higher education (HE) contract in pre- and in-pandemic and the implications for education managers. The second aspect is how disruptive global events influence such choice-making.

The study hypothesized that there would be significant differences in the driving factors and their weight in students' decisions seeking admission into B-schools (Business schools). Structural equation modeling (SEM) and t-test validate the determinants and test hypothesized differences.

Results reveal that core faculty quality, industry exposure, institutional brand name, placement offered, return on investment and specializations offered are the preferred choice criteria. The results reveal that choice criteria in the pre-and in-pandemic differ significantly.

The application of the SEM approach on a large primary database of students during the pre and in-pandemic periods to understand the changes in the choice of B-school for admission is the original aspect of the paper. Insights from the four hypotheses which got rejected provide value to stakeholders. As the pandemic is rearing its head once again across the globe, this study would be able to inform admissions managers on how to navigate for admissions success.

The purpose of this paper is to identify and understand the relationship dynamics amongst the key factors impacting the tier-I auto manufacturing domain which is currently under severe strain. It is an approach for improving the pace of the manufacturing excellence journey.

In total, 20 key factors impacting the manufacturing sector have been identified from the literature review coupled with the inputs from the experienced industry and academic experts. Interpretive structural modelling (ISM) approach has been adopted for the inter-relationship understanding and in stratifying the factors into drivers and independent clusters. The interpretation of the ISM results with respect to the current environment has also been carried out.

Out of the 20 identified key factors, people- excellence related factors have been found to be the key drivers and global presence and visibility, operational cost reduction approach and customer responsiveness have a significant role to play in changing the pace of manufacturing excellence.

ISM framework does not incorporate the feedback concept and transition dynamics toward manufacturing excellence. These issues may be tested through System dynamics, which will help in identifying the cause and effect relationship between variables and model the transition toward manufacturing excellence.

The manufacturing framework of 20 variables is a useful trigger to the strategic planners. The deep understanding of these variables in the current challenging environment is highly relevant and would facilitate the strategic industry leaders in their journey to excellence.

The manufacturing sector has been the growth engine for a nation's economy. If the manufacturing sector grows, the impact on the society will always be favorable as it results in greater degree of employment, better earning capacity and improved quality of life. Through this paper an attempt has been made to identify those key factors which could accelerate the manufacturing excellence pace and hence it is very relevant for the society at large.

The paper provides some useful insight to manufacturing excellence framework and the application of ISM approach to it involving the experienced industry and academic experts.

The game of cricket that originated in Britain thrives on passion and the following it generates in India and other South Asian countries is tremendous. The Board of Control for Cricket in India (BCCI) is the apex governing body that controls all cricketing events in the India. Being the richest such body, BCCI is the most powerful national body among similar organizations across countries where cricket is played. The world of cricket saw a sea change with the introduction of the Indian Premier League (IPL) due to its unprecedented commercial success. The case describes the betting scandal that hit IPL, BCCI and its promoter in the middle of 2013. The scandal involved the son-in-law of the President of BCCI. The events following the scandal saw the Supreme Court of India, the highest judicial body in the country, to indict BCCI and its President of serious misgovernance. Set in this backdrop, the case highlights governance issues in the functioning of not for profit organizations such as BCCI. The case provides an opportunity to reflect on and discuss as to how such quasi-public bodies ought to be governed.