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The purpose of this paper is to examine the growth and characterization of the two different compound semiconductors, namely, n-zinc oxide (ZnO) and p-gallium antimonide (GaSb). In this paper, fabrication and characterization of n-ZnO/p-GaSb heterojunction diode is analyzed.

Thermo vertical direction solidification (TVDS) method was used to synthesize undoped GaSb ingot from high purity Ga (5N) and Sb (4N) host materials. Thermal evaporation technique is used to prepare a film of GaSb on glass substrate from the pre-synthesized bulk material by TVDS method. Undoped ZnO film was grown on GaSb film by sol–gel method by using chemical wet and dry (CWD) technique to fabricate n-ZnO/p-GaSb heterojunction diode.

The formation of crystalline structure and surface morphological analysis of both the GaSb bulk and film have been carried out by x-ray diffraction (XRD) analysis and scanning electron microscopy analysis. From the XRD studies, the structural characterization and phase identification of ZnO/GaSb interface. The current–voltage characteristic of the n-ZnO/p-GaSb heterostructure is found to be rectifying in nature.

GaSb film growth on any substrate by thermal evaporation method taking a small piece of the sample from the pre-synthesized GaSb bulk ingot has not been reported yet. Semiconductor device with heterojunction diode by using two different semiconductors such as ZnO/GaSb was used by this group for the first time.

This research attempted to establish the underlying dimensions of supply chain management practices, blockchain technology and supply chain performance in the Indian dairy industry. Additionally, the study proposes a conceptual model that shows the mediating effects of blockchain technology in the relationship between supply chain management practices and supply chain performance.

Structural equation modelling (SEM) is incorporated to examine the proposed model using SPSS and AMOS version 24. The study population includes 119 registered Indian dairy processing units operating in Uttar Pradesh and New Delhi (source: Dairy – India). Individual registered dairy processing unit's top four executives, that is Head of the Dairy Processing Plant, Supply Chain head and Marketing Head, and IT head are chosen as the respondents of the study, which renders the sample size of 476. Judgmental sampling based on the organisation's market position and plant production capacity (i.e. one lakh litre per day) has been set as the benchmark for selecting the dairy processing units. The executives are selected as respondents as they are well-versed in the phenomenon of supply chain management practices, blockchain technology and supply chain performance compared to other staff working in the dairy industry. The data was collected from December 2021 to March 2022 through judgmental sampling. The target sample size was 476, but only 286 questionnaires were received in a completed state and were further used for analysis.

Manufacturing practices, information sharing, distribution management, inventory management and blockchain technology have a significant and positive impact on supply chain performance in the Indian dairy industry. Furthermore, the research demonstrates that blockchain technology partially mediates the relationship between supply chain management practices and supply chain performance in the context of the Indian dairy industry.

This research is focused on the Indian dairy industry operating in only two states, namely New Delhi and Uttar Pradesh. More research is needed to determine whether SCM practices and the prospects for blockchain technology among channel members are universally applicable to merchants in non-dairy products. Similar investigations should be carried out on dairy industry operating in various formats and in numerous geographic locations. Further, case studies can be conducted by future researchers to learn how supply chain management methods are deployed, what precisely these practices entail and what costs and time demands are required by these practices in context of small independent retailers across different germane expanse.

While the available literature on the research area is spread out, the influence of blockchain technology in the Indian dairy industry has not yet been sufficiently analysed. Therefore, the research article focused on exploring underlying dimensions of the constructs of supply chain management practices, blockchain technology adoption and supply chain performance in the context of the Indian dairy industry.

This study aims to examine the value relevance of earnings in terms of predicting the value variables such as cash flow, capital investment (CI), dividend and stock return under the Indian institutional settings.

The study used panel Granger causality tests to examine causality relationships among variables and panel data regression models to check the statistical associations between earnings and value variables.

Based on a data set of 7,280 Bombay Stock Exchange-listed firm-years spanning over ten years from March 2009 to March 2018, the results show higher sensitivity of earnings toward cash flows, CI, divided and stock return and vice-versa. Further, the findings deduced from the empirical results demonstrate that earnings are positively related to value variables. Overall, the results established that earnings are value-relevant and have predictive ability to forecast the value variables that facilitate investors in portfolio valuation. The results are consistent with the predictive view of the value relevance of earnings. Several robustness checks confirm these results.

This study brings new empirical evidence from a distinct capital market, India, and provides a new facet to the value relevance debate in terms of its prediction view. The study is among earlier attempts that jointly measure the ability of earnings in forecasting different value variables by taking a uniform sample of firms at the same period. Hence, the study provides a comprehensive view of the predictive ability of reported earnings.

The purpose of this research is to conceptualize, define and measure resource orchestration capabilities of R&D teams pursuing advanced scientific research and technological innovation at public-funded R&D organizations in India.

A series of five mutually exclusive studies were designed over two years to develop and validate the ROCI scale within public research and development (R&D) organizations pursuing advanced scientific research and technological development in India. The first three studies address the refinement, reduction and rationalization of items for measuring the ROCI construct. The next study explores the factor structure underlying the ROCI construct whereas the subsequent one confirms the three-factor structure within empirical settings.

The resource orchestration capability towards innovation (ROCI) construct reflected through three sub-dimensions namely – adaptive structuring capability (ASC), synergistic leveraging capability (SLC) and decentralized decision-making capability (DDC), each loaded with their respective items can be used for capability measurement in public-funded R&D organizations.

R&D managers can use this ROCI scale to measure, monitor and improve the innovation-oriented resource orchestration capabilities of their R&D teams and help them improve their innovation performance.

This research contributes to the extant literature on resource orchestration for innovation management in three unique and original ways – theoretically-grounded conceptualization, empirical measurement and rigorous validation through multiple studies conducted in public-funded R&D organizations in India.

This paper aims to provide an overview of recent research on accountability of local and state governments in India.

The Downsian theory of electoral competition is used as a departure point for classifying different sources of government accountability failures. Subsequent sections deal with each of these sources in turn: limited voter participation and awareness; ideology, honesty and competence of political parties and electoral candidates; capture by elites; clientelism and vote-buying. Each section starts by explaining the relevant departure from the Downsian framework and then reviews available empirical evidence in the Indian context for each of these possible “distortions”, besides effects of related policy interventions. The final section summarizes the lessons learnt, and the fresh questions that they raise.

The paper describes a range of possible reasons that limit the effectiveness of elections as a mechanism inducing governments to be accountable to their citizens and reviews the evidence available from the Indian context concerning each of these.

The contribution of the paper is to provide an overview and perspective of recent literature on political economy problems affecting performance of state and local governments in India.

This paper analyzes the welfare implications of the unequal distribution of wealth amongst the social and religious groups by studying the segregation of these groups across different occupations.

The authors use measures suggested by Alonso-Villar and Río (2017) and del Río and Alonso-Villar (2018) to compute the well-being of social groups (based on caste system prevalent in the Indian subcontinent) and religious groups due to their segregation across different regions (urban and rural) and occupations and social welfare loss of the society due to the segregation. Here social groups comprise of ST: Scheduled Tribe, SC: Scheduled Caste, OBC: Other Backward Caste and Others: other remaining castes; while, religious groups comprise of followers of Hinduism, Islam, Christianity and other religious groups.

The result shows that SC and ST groups are worse; while, the “others” group is better off due to the segregation of social groups across both regions and occupation. Similarly, in the case of religious groups, the analysis reveals that followers of Christianity are better off due to the segregation across region and occupation. It further shows that followers of Hinduism are negatively impacted while followers of Islam and other religious groups were better off due to the segregation across the regions.

Various researchers have studied the wealth inequality and unequal distribution in India over the years but did not dive further into the welfare implications of segregation of social and religious groups from wealth perspectives in India.

There is limited evidence on the determinants of hospitalisation and its causes in India. This study aims to examine the differential in the hospitalisation rates and its socioeconomic determinants. This study also examines the causes of diseases in hospitalisation among the elderly (≥60 years) in India.

This study used data from the 75th round of the National Sample Survey Organizations, collected from July 2017 to June 2018. The elderly samples in this survey are 42,759, where 11,070 were hospitalised, and 31,689 were not hospitalised in the past year or 365 days. This study estimated hospitalisation rates and carried out binary logistic regression analysis to examine the associations of hospitalisation with the background variables. The cause of diseases in hospitalisations was also calculated.

The hospitalisation rate was lower among elderly female compared to elderly male. Elderly who belongs to middle-old aged groups, non-married, North-Eastern region, Southern region, general caste, health insurance, partially and fully economically dependent have a higher chance of being hospitalised. About 38% elderly were hospitalised due to communicable diseases (CDs), 52% due to non-communicable diseases (NCDs) and 10% due to injuries and others (IO). Nearly 40% elderly were hospitalised in public hospitals due to CDs, whereas 52% were hospitalised in private hospitals due to NCDs and 11% due to IO.

Firstly, this study is based on cross-sectional survey due to which temporal ambiguity averted to draw causal inferences. Secondly, other significant factors can also predict hospitalisations and provide insightful results, such as lifestyle factors, behavioral factors, obesity, mental state and several personal habits such as smoking cigarettes, drinking alcohol, consuming tobacco or other harmful substances. But this information was not available in this study. Even with these limitations, the hospitalisation issues among the elderly are beneficial to understand the current circumstances of CDs, NCDs and injury and other diseases for India and its states to formulate health policy.

Early screening and early treatment for NCDs are needed, which are non-existent in almost all parts of India. It is essential to necessitate and identify the important factors that best predict hospitalisation or re-visit of hospital admission. Although, the medical advances in India have made rapid strides in the past few decades, it is burdened none the less, as the doctor–patient ratio is very low. It is important to develop preventive measures to minimize the accidents and causalities to avoid substantial cost associated with elderly health care.

Raising awareness, promotion of healthy life style and improving the quality of good health-care provisions at primary level is a necessity.

The findings, practical and social implications provide a way forward for the health policymakers to potentially alter the future research to reduce associated comorbidities, unnecessary hospitalisations and other medical complications.