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Wright & Company conducted a market research for ‘Fashion Destination’ to determine the consumer purchase intention for a clothing and accessories rental service. Based on secondary research and expert interviews, the consultants came up with a preliminary business model for the service. And through qualitative research they found that consumers indeed had a purchase intention for a clothing and accessories rental service. To validate the conclusion they conducted a primary research by administering a detailed questionnaire and prepared a codebook. The consultants now had the challenge to make an analysis plan to draw appropriate inferences vis-à-vis the objectives of the research.

‘Fashion Destination’ was a prominent one-stop shop of clothing retail in Ahmedabad which has faced business slowdown in the last 5 years. Vishal, who had recently taken over the management wondered, would renting of premium clothing be a good business model to get back to the business. While pondering over the issue Vishal did some secondary research had found that the Indian retail industry is growing at a fast rate and that the online rental service is an upcoming trend in Indian market. Vishal hired an external market research agency ‘Wright & Company’, before changing the business model, to clarify certain doubts regarding renting clothes as a social stigma, willingness of people to rent clothes, requirement of physical store, about target consumers and product assortment.

The paper aims to review existing performance indicators in technology business incubators (TBIs) and propose some new indicators with a focus on incubation activities in higher educational institutes (HEIs) of India.

Performance indicators of various types of incubators were identified from research papers followed by interview, consultation and suggestion from experts of the subject. Nature of interrelationship between the identified indicators has been established with the help of Interpretive Structural Modelling methodology and Matrice d’impacts croisés multiplication appliquée á un classment analysis.

Number of ideas came for screening and number of ideas converted to start-ups, survival rate of incubatees is the indicators which have the highest driving power followed by time taken in screening an idea and number of failed or rejected ideas returned back into incubation. Few indicators (driving indicators) are affecting performance of other indicators as well.

Some performance indicators are proposed which can be used for measuring performance of technology incubators in India. The actual implications will be known when these findings are used to assess performance of some technology incubator. This also is the limitation of the study that some cases can be included to validate the findings of this research.

A total of 15 performance indicators for measuring performance of TBIs in Indian HEIs have been proposed. The proposed indicators will help incubator management to prioritize the efforts and resource allocation.

TBIs are looked upon as mechanism for promoting entrepreneurial culture in Indian HEIs. Their success is well linked to growth of society. This research will help technology incubators to identify the most important factors in incubation process. Performance improvement will directly affect society in whole. Culture of IEE (Innovation, Entrepreneurship and Employment ) can be achieved through technology incubators

Identification of new indicators for performance measurement of incubators in Indian HEIs is the novelty of this research. This has a lot of value due to multilevel hierarchy model.

This study aims to know whether board composition is effective in improving firm performance and particularly to determine whether this relationship varies across different levels of performance, that is, companies with very low performance, low performance, moderate performance, high performance and very high performance.

The authors use a data set covering 213 Indian companies registered on S&P Bombay Stock Exchange 500 Index over the period 2001 to 2019 by using Tobin's Q as a performance parameter. The study applies the quantile regression technique and compares the results with fixed effect generalized least squares (GLS) regression.

The findings reveal that board size positively affects the company's performance across all quantiles. Independent directors negatively impact the performance of companies across all quantiles. However, the strength of these relationships increases with increase in performance, thereby supporting agency theory and stewardship theory, respectively. The effect of executive directors on the performance of the companies varies across quantiles. The effect is adverse at moderate and high quantiles only.

The findings provide some grounds for regulators to exercise caution while designing board composition guidelines, keeping in mind the unique internal environment of each company which ultimately affects their performance levels. Similarly, Indian companies are also suggested to compose their boards keeping in mind their performance levels.

The study contributes towards the debate on the board composition and firm performance relationship by adding to the agency theory and stewardship theory that all the companies cannot have the similar board composition. Rather its composition depends upon the performance levels of the companies.

This will not be an overstatement to state that the micro, small and medium enterprise (MSME) industry is crucial and the vital driver of the world economy. It covers different fields and dimensions such as defense products, electrical components and low-cost products. The sector plays a vital role in rendering work with low capital expenditure and is one of the emerging pillars of the Indian economy. Given the significance of this sector in contributing towards India's gross domestic product (GDP), it becomes appropriate to resolve all the issues related to MSME on a primary basis for ensuring required support. The recent global pandemic of COVID-19 has impacted this sector to a great extent. This research study targets the MSME industry and points out the directly linked enablers adding to improve the sector's resiliency and sustainability. Therefore, identification and the interrelationship between the MSME enablers need to be studied, which helps make a preliminary list that deals with their impedance benefaction towards resiliency increment.

The writers have done a comprehensive literature analysis of the enablers for the MSME sector to enable effectively and efficiently during emergencies and pandemics. An endeavor has been made on the enablers to order them by utilizing the modified Total Interpretative Structure Modelling (m-TISM) technique. Authentication of this research work highlights the significance of enablers and their position in a hierarchical structure. Further, MICMAC investigation on the recognized enablers is performed to arrange them in the four quadrants on their dependence and driving power.

The authors have attempted to predict the significance of the MSME sector and its essential contribution to the development of India's economy. The result of m-TISM in the current research work revealed the essential commitment of a hierarchical design dealing with the MSME considering the viewpoint of future development. The well-planned traditional design in the MSME helps establish better government policies and programs and transport infrastructure.

Every research study has a few restrictions. Likewise, the boundaries of the current study are that inputs collated for fostering the models are from a few specialists that may not mirror the assessment of the whole MSME sector.

The MSME sector is the developing sector in the current day, and it is needed to keep supporting the sector for the country's development. The current study has set out the functional establishment to improve MSME practicality. In addition, the research highlights the accountability of the MSME authorities to go with the identified enablers having solid driving power for successful usage of the available resources. This will help the MSME development and add value to practitioners and policymakers in the future.

The growth of this sector is essential for the development of the economy and the development of a nation. The current study presents a unique structure that gives a superior comprehension of the enablers. It will help play a crucial role in developing the MSME area. The structure model developed with the assistance of m-TISM and MICMAC examine the identified enablers with inputs from experts in the field. The hierarchy developed from the study recognized the enablers located on their commitment of suitability development of the MSME field.

The proper identification of consumers' risk perception, fear and panic behaviour can help managers to limit consumers' irresponsible behaviour, develop safer shopping experiences and attract consumers to physical stores. Indeed, the risk of contagion might result in shopping anxiety and limit consumers' propensity to visit the physical stores. This chapter aims at supporting retailers by providing a deep understanding of how the uncertainty and risk perceptions coming from emergency awareness impacts consumers' behaviour. Attention is solicited towards new retail strategies and practices to mitigate these consequences.

The COVID-19 pandemic has showcased the lack of resilience found in the global value chains (GVCs) of multinational enterprises (MNEs). Existing evidence shows that MNEs have only recently and slowly started recovering and attempting to rebuild the resilience of their GVCs. This paper analyzes the challenges/inhibitors faced by MNEs in building their resilience through their GVCs.

A four-stage hybrid model was used to identify the interrelationship among the identified inhibitors and to distinguish the most critical ones by ranking them. In the first stage, we employed a modified total interpretive structural modeling (m-TISM) approach to determine the inter-relationship among the inhibitors. Additionally, we identified the inhibitors' driving power and dependency by performing a matrix multiplication applied to classification (MICMAC) analysis. In the second stage, we employed the Pythagorean fuzzy analytic hierarchy process (PF-AHP) method to determine the weight of the criteria. The next stage followed, in which we used the Pythagorean fuzzy combined compromise solution (PF-CoCoSo) method to rank the inhibitors. Finally, we performed a sensitivity analysis to determine the robustness of the framework we had built based on the criteria and inhibitors.

We find business sustainability to have the highest importance and managerial governance as the most critical inhibitor hindering the path to resilience. Based on these insights, we derive four research propositions aimed at strengthening the resilience of such GVCs, followed by their implications for theory and practice.

Our findings contribute to the extant literature by uncovering key inhibitors that act as barriers to MNEs. We link out our findings with a number of propositions that we derive, which may be considered for implementation by MNEs and could help them endow their GVCs with resilience.

As skills need to be changed in a dynamic learning environment, employability depends not just on what people already know but on how well they learn, apply and adapt breaking out their comfort zone. This study explores how students from all backgrounds and teachers can engage with inclusive education without discrimination through pedagogy. The research provides a platform through implication for other international readers of developing countries to implement pedagogies of the Indian context.

This archival research focuses on the topical literature to scrutinize efficient ways to elevate the realization of all learners in inclusive settings. What inclusive pedagogy teaching approaches, focusing on the key competences and sustains learning which are effectual in elevating the academic success of all novices.

Educators need to develop their skills and competency by breaking their comfort zone, and individual recital of every faculty affiliate is a decisive feature in accomplishing quality for inclusive education. An education institution also needs to provide passable facilities to academicians and students in order to adapt and utilize technology efficiently without any discrimination. This is an important method of assisting educators to recognize and investigate using this epistemology in new innovative inclusive teaching pedagogy with technologies in industry 4.0.

The study momentarily suggests an innovative pedagogy approach for stakeholders and users to be adapted in current digital arena.

Review of the concepts can provide valuable pointers for policy makers in other jurisdictions contemplating inclusive education. The issues that are dealt with relate to how all students with and without disability can be engaged in a classroom without discrimination, and development is incentivized using Information and Communication Technology (ICT) in teaching pedagogy.

This chapter has been seminal work of Dr K.S.S. Iyer, which has taken time to develop, for over the last 56 years to be presented here. The method in advance predictive analytics has developed, from his several other applications, in predictive modeling by using the stochastic point process technique. In the chapter on advance predictive analytics, Dr Iyer is collecting his approaches and generalizing it in this chapter. In this chapter, two of the techniques of stochastic point process known as Product Density and Random point process used in modelling problems in High energy particles and cancer, are redefined to suit problems currently in demand in IoT and customer equity in marketing (Iyer, Patil, & Chetlapalli, 2014b). This formulation arises from these techniques being used in different fields like energy requirement in Internet of Things (IoT) devices, growth of cancer cells, cosmic rays’ study, to customer equity and many more approaches.

3D food printing technology is an emerging smart technology, which because of its inbuilt capabilities, has the potential to support a sustainable supply chain and environmental quality management. This new technology needs a supportive ecosystem, and thus, this paper identifies and models the enablers for adopting 3D printing technology toward a sustainable food supply chain.

The enablers were identified through an extensive literature review and verified by domain experts. The identified enablers were modelled through the hybrid total interpretive structural modelling approach (TISM) and the decision-making trial and evaluation laboratory (DEMATEL) approach.

It emerged that stakeholders need technical know-how about the 3D printing technology, well supported by a legal framework for clear intellectual property rights ownership. Also, the industry players must have focused and clear strategic planning, considering the need for sustainable supply chains. Moreover, required product innovation as per customer needs may enhance the stakeholders' readiness to adopt this technology.

The framework proposed in this research provides managers with a hierarchy and categorization of adoption enablers which will help them adopt 3D food printing technology and improve environmental quality.

This research offers a framework for modelling the enablers for 3D food printing to develop a sustainable food supply chain using the TISM and DEMATEL techniques.