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The purpose of this paper is to analyze and summarize growth and development of technology business incubation system in India. The study in this route tries to explore factors which include various actors and agencies influencing the process of incubation and innovation.

The paper in route to access the role of different actors and agencies situated around the incubation process is being executed through the systems of innovation framework. Data have been collected from the secondary sources including government department, ministries and other sources.

The study besides providing an in-depth analysis of the incubation process in India finds that the process is relatively new in the Indian context and lacks a profound policy for escalating the process of technological incubation. The study also finds that over the years India’s innovation potential has escalated significantly which in a way can be seen as an optimistic result in the growth and development of technology business incubation.

The proposed study is one of the few in this category, especially while analyzing technology business incubation with respect to India. The study also tries to add on literature in the domain of technology incubation especially in the context of India.

This paper aims to concentrate on research that has been conducted in the previous decade on metamaterial (MTM)-based sensors for material characterization, which includes solid dielectrics, micro fluids and biomolecules.

There has been a vast advancement in sensors based on MTM since the past few decades. MTM elements provide a sensitive response to materials while having a tiny footprint, making them an appealing alternative for realizing diverse sensing devices.

Related research papers on MTM sensors published in reputable journals were reviewed in this report, with a specific emphasis on the structure, size and nature of the materials characterized. Because electromagnetic wave interaction excites MTM structures, sensing applications around the electromagnetic spectrum are possible.

The paper contains valuable information on MTM sensor technology for material characterization, and this study also highlights the challenges and approaches that will guide future development.

The purpose of this paper is to retrieve the dielectric constant of the material under test (MUT) by using an empirical relationship, which relates the dielectric properties with all three resonant frequencies of the proposed sensor. Each notch of the sensor is analyzed for sensitivity by using 15 different MUTs with relative permittivity ranging from 1.006 to 16.5 with a fixed dimension of 12 mm × 12 mm × 1.2 mm.

In this paper, we present a triple-notch metamaterial-based sensor for the solid dielectric characterization based on a microstrip transmission line and a direct coupled-double split ring resonator (DC-DSRR). The proposed sensor is designed, and its response is measured using a vector network analyzer to verify the concept. The shift in the resonant frequencies of the proposed sensor owing to contact with MUT is depicted as a function of permittivity using the curve fitting tool.

The proposed sensors have three notches, with the third notch being more sensitive than the first and second notch because of the high resonance frequency. For the first, second and third resonances, the proposed sensor has sensitivity ranges from 4.9% to 14.68%, 8.97% to 23.95% and 15.48% to 29.36%, respectively. The findings of the simulations, measurements and formulations are all in good accord.

In comparison to previous solid dielectric metamaterial sensors, the proposed triple-notch sensor based on a microstrip transmission line and DC-DSRR has the following advantages: it has a simple unit-cell structure and meets the needs of miniaturization, compact size, low cost and improved sensitivity. It determines the relative permittivity using all three notches so that the accuracy of the measurement is enhanced as compared with single- and double-notch sensors.

The “war for talent” is not limited to developed economies but has become a common feature in emerging economies such as India. From the sociocultural perspective, India represents one of the oldest cultural heritages with distinct cultural values. The cultural difference may contribute to explain organizational practices toward talent retention. In the present chapter, the authors focus on the institutional, legal, and cultural context and highlight their uniqueness with respect to the Indian context. Within the institutional context, the authors found that prior to liberalization (which happened in 1990s), the Indian business scene was dominated by public firms or a small enclave of private firms. For both types of organization, turnover hardly mattered, and turnover was indeed negligible. Employees saw firms as “employers for life”: in such a context, voluntary turnover was extremely rare. Further, in the early legal context, it was hard for any private firm to “fire” an employee. Therefore, involuntary turnover was close to nil as well. Things began to change post-liberalization when the Indian scene was dominated by an influx of private players. The Indian mind too accepted turnover to be a part of the corporate life. In the present chapter, the authors provide a snapshot of what, why, and how of employee turnover in the Indian context. The authors specifically focus on what motivates employees to remain with the organization or why do they leave the organization. The authors close the chapter with insights relevant to both academicians and practitioners.

Narendra Modi’s Bharatiya Janata Party made fighting corruption as a major election plank, and won the 2014 elections, and formed the National Democratic Alliance government – a majority party government in India in nearly 30 years. Modi was re-elected in May 2019 with a bigger majority. As his government celebrates the second term, it is time to assess the last five years’ accomplishments in fighting corruption. This chapter deals with the subject under four major headings. The first examines the efficacy of existing anti-corruption agencies. The second explains the office of Lokpal (Ombudsman). The third analyses the initial challenges and efforts of the Modi government. The fourth draws some conclusions.

The purpose of this paper is to propose a conceptual framework for a comprehensive agricultural financial service to address the problems faced by the farmers and the insurance companies and to suggest the product delivery method to increase the acquisition rate of the product.

A theoretical framework is proposed based on the pros and cons of various insurance services floated out earlier as well as the various risks faced by the farmers. Subsequently, on the basis of the factors that affect the take up rate of insurance products, the paper proposes an adequate delivery strategy.

An efficient integrated framework for risk management in agriculture has been developed by interlinking various elements like price risk, yield risk and demand risk in addition to providing additional advisory and credit services. Other services only cover one or two of these and hence, are not adequate. Also, illiteracy of farmers is the main bottleneck that decreases the take up rate and can be addressed by appointing agro-financial agents.

The frameworks proposed if brought into practice will lead to a holistic agro-financial service and help in overall advancement of the agricultural sector and economy.

This paper would help insurance companies to come out with better insurance products for the agricultural community that will be easier to administer and economically more viable and thus fulfils the criteria for a holistic insurance framework.

Corporate social responsibility (CSR).

Graduate, undergraduate and executive education.

The Institute of Management Technology, Nagpur, in the year 2013 started the Centre for Corporate Governance to emerge as an academic and research center for the industries in the vicinity of Nagpur and engage industries in CSR activities. On completion of one year of the center, the team responsible for execution of the programs was disappointed with the Centre’s progress. They decided to start an empowerment program with students from a poor village school. The initiative was well received by the school and its students. Now the team is facing the challenge of sustainability and scale up of the initiative.

To understand the concept and motives of CSR; to evaluate how a nonprofit-making entity can contribute to its communities; to explain the nuances of stakeholder engagement; social empowerment and inclusiveness; and student engagement and volunteerism.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 11: Strategy.

The purpose of this paper is to provide a methodology for assessing supply risk for a product category. The fuzzy based analytic hierarchy process (Fuzzy AHP) has been used for the purpose. The technique is used to determine the supply related risk and its potential impact on the buyer organization.

The research uses case analysis approach to understand the supply related risks and then applying fuzzy AHP for prioritization of the same.

The result of the case example indicates that the suggested approach of fuzzy AHP methodology seems feasible for risk assessment in supply chain management as it allows the personnel to express their judgments regarding the importance of each type of risk elements and evaluate the situation from their own perspective and then have this input coordinated in a quantitative fashion.

Supply chain managers can use this research as a base for developing risk assessment tool. The result can help as a benchmarking tool for the supply management professionals. By having a better understanding of which element has the greatest effect on risk, they can focus their attention on reducing the chance that risk can have on their organizations success and profitability.

This paper provides practitioners with a methodology for analyzing supply side risk as an objective of creating customer value by delivering perfect order.

The purpose of this paper is to understand the process through which external diffusion of business-to-business (B2B) e-procurement impacts firm performance. The research model has been developed to empirically examine the role of information transparency and supply chain coordination in improving the firm financial performance by external diffusion of e-procurement.

The survey is conducted in India with a target population of purchasing professionals working on the B2B e-procurement platform. The measurement model was first tested by using confirmatory factor analysis for reliability and validity, then structural equation modeling (SEM) was used to test the hypotheses of the research model using AMOS 22. The phantom model approach has been used for testing multiple mediators.

The result of the study highlights the importance of information transparency and supply chain coordination in enhancing the firm financial performance by external diffusion of e-procurement. The results establish the role of information transparency in enhancing firm performance by improving supply chain coordination. The results also indicate that supply chain coordination mediates the relationship between external diffusion of e-procurement and firm financial performance.

This is the first study that has focused on the external diffusion of e-procurement and its impact on firm performance. Also, this study attempted to understand the process through which external diffusion of e-procurement impacts the firm financial performance.

The purpose of this paper is to use Twitter analytics for analyzing the startup ecosystem of India.

The paper uses descriptive analysis and content analytics techniques of social media analytics to examine 53,115 tweets from 15 Indian startups across different industries. The study also employs techniques such as Naïve Bayes Algorithm for sentiment analysis and Latent Dirichlet allocation algorithm for topic modeling of Twitter feeds to generate insights for the startup ecosystem in India.

The Indian startup ecosystem is inclined toward digital technologies, concerned with people, planet and profit, with resource availability and information as the key to success. The study categorizes the emotions of tweets as positive, neutral and negative. It was found that the Indian startup ecosystem has more positive sentiments than negative sentiments. Topic modeling enables the categorization of the identified keywords into clusters. Also, the study concludes on the note that the future of the Indian startup ecosystem is Digital India.

The analysis provides a methodology that future researchers can use to extract relevant information from Twitter to investigate any issue.

Any attempt to analyze the startup ecosystem of India through social media analysis is limited. This research aims to bridge such a gap and tries to analyze the startup ecosystem of India from the lens of social media platforms like Twitter.