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Standard treatments of the field emission problem typically rely on approximations to the evaluation of the Transmission Coefficient (TC). Recently, the Wigner Distribution Function (WDF) has been applied to this problem. In this paper, fast, accurate, and efficient numerical algorithms for each are presented and compared to each other and to traditional WKB and Fowler Nordheim approaches for silicon field emission. As each approach admits a trajectory interpretation, the methods for incorporating each into a larger Ensemble Particle Monte Carlo (EPMC) simulation of quantum transport are briefly discussed.

The purpose of this paper is to discuss published research in rotorcraft which has taken place in India during the last ten years. The helicopter research is divided into the following parts: health monitoring, smart rotor, design optimization, control, helicopter rotor dynamics, active control of structural response (ACSR) and helicopter design and development. Aspects of health monitoring and smart rotor are discussed in detail. Further work needed and areas for international collaboration are pointed out.

The archival journal papers on helicopter engineering published from India are obtained from databases and are studied and discussed. The contribution of the basic research to the state‐of‐the‐art in helicopter engineering science is brought out.

It is found that strong research capabilities have developed in rotor system health and usage monitoring, rotor blade design optimization, ACSR, composite rotor blades and smart rotor development. Furthermore, rotorcraft modeling and analysis aspects are highly developed with considerable manpower available and being generated in these areas.

Two helicopter projects leading to the “advanced light helicopter” and “light combat helicopter” have been completed by Hindustan Aeronautics Ltd These helicopter programs have benefited from the basic research and also provide platforms for further basic research and deeper industry academic collaborations. The development of well‐trained helicopter engineers is also attractive for international helicopter design and manufacturing companies. The basic research done needs to be further developed for practical and commercial applications.

This is the first comprehensive research on rotorcraft research in India, an important emerging market, manufacturing and sourcing destination for the industry.

In this work we outline the methodology by which the Wigner Distribution Function (WDF) may be applied to the simulation of field emission from silicon into the vacuum so that the effects of self‐consistently calculated band bending and scattering on the current‐field characteristics may be assessed. For the first time, current saturation‐like effects are simulated. We analyze this in light of the behavior of the self‐consistent potential and density profiles at high applied fields.

Humanitarian supply chain management (HSCM) in today’s environment faces the challenges such as information availability, inventory management, collaboration, logistics related issues and preparedness. The purpose of this paper is to evaluate the HSCM performance, considering the consequences in terms of operation, recovery and responsiveness based on the fuzzy estimates of the components presented.

In the study, triangulation approach was adapted for collecting data and developing a hierarchical structure for humanitarian supply chain performance assessment. The relationships between HSCM performance and its suddenness and required preparedness are depicted by cause and effect diagrams. The concepts of fuzzy association and fuzzy composition are applied to identify relationships.

In the hierarchy presented, the performance in a disaster situation, preparedness and suddenness of the situation and factors that influence the above are modeled. The taxonomy is developed for describing the relationship between factors, their likelihoods and impacts to achieve consistent quantification.

The study considers case studies from Indian conditions; however, conditions in other countries and their practices for the disaster management may vary to certain extent.

A methodology presented for evaluating the exposures in considering the consequences in terms of responsiveness, operations, recovery, mitigation and emergency response. The study may help the humanitarian relief practitioners to understand the insights of the disaster situations using the proposed framework.

A common language for describing the different factors of HSCM is presented, which includes terms for quantifying likelihoods and impacts. The concept of fuzzy association and fuzzy composition has been applied to identify relationships between sources and consequences on HSCM performance. The use of descriptive linguistic variables is ensured through the implementation of fuzzy logic.

No fault found (NFF) in maintenance has been a frequently observed problem in industrial sectors, but very few academic contributions are devoted to reviewing and summarizing the related research. Considering the growing interest of academicians in NFF during the last decade, there is a critical need to examine theme evolution in this field, most influential authors, contemporary practices, research gaps and proposed solutions.

A portfolio of 169 articles published between 1982 and 2020 was collected from the Scopus database and was systematically analyzed using a two-tier method. First, the evolution, current state of literature and research clusters are identified using bibliometric techniques. Finally, the research clusters are studied to understand the literature's main themes and develop the future research agenda using content analysis.

The results indicate that publications on NFF are rising quickly in the last decade, especially after 2010. The previous NFF research primarily focuses on system design, fault diagnostics, reliability engineering, data management and human factors, but the criticality of economic and risk analysis has not been significantly represented.

The study resulted in developing an inclusive framework and identifying six research clusters that will help in granular understanding, benefit the researchers, practitioners and policy formulators in NFF.

This study examines the NFF's current research direction and calls for further research in integrating NFF economics on its stakeholders like manufacturers, supply chain, customers and risk analysis during the product life cycle.

The purpose of this paper is to explore the role of FinTech companies in SCF. The application of digital technology in supply chain activities has facilitated the evolution of supply chain finance (SCF) to a new level. However, how financial technology (FinTech) companies promote this evolution has not been thoroughly examined.

This research used the multiple-case study approach and social network analysis method to explore how FinTech companies influence SCF networks.

The results reveal that FinTech companies play the crucial role of a signaling intermediary by facilitating interactions among relevant parties, accelerating the flow of information and reducing information asymmetry arising from data smog. Moreover, FinTech companies make SCF information networks more equitable and promote the performance of SCF.

This study deepens the conversation at the nexus of signal theory and SCF and provides managerial implications for alleviating information asymmetry between borrowers and lenders to solve the difficulty and high-cost problems of obtaining financing of small- and medium-sized enterprises.

Based on the agency theory, the purpose of this paper is to theoretically argue and empirically investigate how ownership structure impacts the capital structure of the listed mid‐cap companies in India and whether the capital structure as exogenous variable has a role in determining ownership structure as well.

Simultaneity between capital structure and ownership structure is checked through Hausman specification test on endogeneity. Fixed effect panel regression model is used to analyze five years of data (2005‐2009) on the sample units, to find the relation between leverage and ownership structure after controlling for profitability, risk, tangibility, growth and size.

Empirical results on Indian firms suggest that the ownership structure does impact capital structure but not the vice versa. Consistent with theoretical prediction empirical results reveal that the leverage is positively related to concentrated shareholding and has a negative relation with diffuseness of shareholding after controlling for profitability, risk, tangibility, growth and size. The findings are consistent with “managerial entrenchment hypothesis” and “pecking order theory” of capital structure.

The findings of the paper will enable the practitioners and analysts to understand as to why, in the bank and financial institution‐dominated debt financing system in India, leverage is closely associated with concentrated ownership pattern and why retained earning is a preferred vehicle of financing for the firms with diffused shareholding.

The results of the study enrich the literature on capital structure, agency cost and corporate governance issues in several ways.

Managing supply risk is gaining in importance in the tightly interconnected global economy. Identifying the relevant risks is the foundation of any risk management process. Therefore, the purpose of this paper first is to provide a short introduction to supply risk management, before focussing on the identification of such risks in more detail. A holistic framework of the identified supply risks, which distinguishes between risk dimensions and risk factors in manufacturing upstream supply networks, is proposed.

This study applies a mixed methods research approach. Data are collected based on a structured literature review in combination with the analysis of company-specific documents and semi-structured expert interviews. Subsequently, a deductive content analysis is carried out to derive a holistic framework of supply risks, adapted to the manufacturing industry. For the external validation of the conceptual supply risk framework, additional experts from several manufacturing companies were consulted.

Based on the definition and delimitation of supply risk, a categorization of supply risks is developed. The relevant literature, as well as expert interviews, lead to the distinction of six supply risk dimensions: quality, delivery, collaboration, economic, ambience and compliance. A total of 27 risk factors can be assigned to these dimensions. A holistic foundation for the management of supply risk is thus created.

This study provides a holistic framework of relevant supply risks in the context of the manufacturing industry. This overview of identified risks offers a novel perspective on risk in manufacturing supply networks that can be helpful in researching assessment and mitigation strategies. Despite the high relevance and popularity of this field of research, such an overview with a focus on manufacturing had not yet been made available in the literature. Building thereon, management approaches can now be developed to handle the risk arising from the upstream of the supply network.

Post-2008 global food crisis the prices of perishable high-value food commodities, such as vegetables and fruits, in India have risen faster and become more volatile compared to that of cereals. The welfare consequences of price shocks though are well understood yet the policy responses to manage these remain blurred because of a lack of clarity on their causes. Focusing on onions that comprise an important constituent of the Indian diet, the purpose of this paper is to explore causes of high price volatility.

Using high-frequency time series data on wholesale prices and arrivals of onions in major markets and other relevant variables, this paper analyzes causes of price volatility from several angles, that is production shocks, seasonality in production and market arrivals, internal trade, export policies and market power of intermediaries on the supply chain.

Despite markets being integrated and no significant climatic shocks to production there exists a strong element of uncertainty in market arrivals of onions, pointing toward the market power immediate downstream the production or alternatively anti-competition trade practices in major markets as a cause of high price volatility. The measures to manage price volatility, such as an increase in minimum export prices and bans on exports, are also not found to have an immediate cooling effect on prices.

The agricultural policy should provide for a system of market intelligence to monitor anti-competitive trade practices along the supply chain, and to take proactive trade control measures to prevent frequent ups and downs in domestic prices. In addition, it should provide for incentives for developing efficient supply chains and for the cultivation of onions in the regions that have agronomic potential but it has remained underexploited due to one or the other constraint.

Excessive volatility in food prices impacts farmers, consumers, processors, and traders and even political system. It may distort production and investment decisions of farmers and intermediaries on the value chains, leading to inefficient allocation of resources. The poor consumers may be forced to reduce food and non-food productive expenditures. If persists for a longer period, it may lead to political instability too.

Several studies have analyzed volatility in food prices and causes thereof. However, rarely any of these has examined volatility in prices of perishable high-value food commodities. This paper is an attempt toward filling this gap.

Several empirical studies have shown that the “servicization” of India ' s economy has taken place in terms of structural changes in GDP. But the structural changes in terms of employment have been slow, as agriculture is still the mainstay of more than 50 per cent of the total workforce. Though agriculture is still the predominant sector of the economy in terms of employment and livelihood, it is losing its dynamism. The country has been striving to achieve target of 4 per cent growth in agriculture since the 8th Five Year Plan so essential for achieving the objective of “inclusive growth”. However, the country is nowhere near the goal even in the penultimate year of 11th Five year Plan. The purpose of this paper is to emphasize the need for application of science and technology in India ' s agriculture to ensure sustainable development of agriculture with food security and also for tapping the “demographic dividend”. The agricultural crisis in India motivated the author to take up this study.

The present study mainly used secondary sources of data. The analysis of secondary data available in various documents, reports etc. revealed that agriculture in India is indeed passing through crisis. The review of literature revealed that science and technology can play a crucial role in rejuvenation of India ' s agriculture.

The paper shows that an integrated application of science and technology with social wisdom can help in checking the most serious form of brain-drain (i.e. migration of youth from rural to urban areas), mitigate the adverse impact of climate change and rejuvenate/revive India ' s agriculture so very essential for sustainability of India ' s growth, as has been stressed by Swaminathan.

The paper emphasizes the need for application of science and technology in India ' s agriculture to ensure sustainable development of agriculture with food security.