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The purpose of this study to understand the effects of training and creativity on organizational innovation under the moderating influence of the organizational climate.

The theoretical model is grounded in the contingent resource-based view. To test the research hypotheses, this paper has gathered the cross-sectional data using a single informant pre-tested questionnaire. The data were collected from respondents working in Indian automotive manufacturing organizations. The data were further tested for the normality criteria followed by hypotheses testing using co-variance-based structural equation modelling Statistical Package for Social Sciences (SPSS), 2010.

The relationship between training and organizational innovation was leveraged by employee creativity, which acts as a mediator between the two. Moreover, the organizational climate augments the mediation process by coherently creating a positive moderating influence.

This study provides prospective insights to management leaders and practitioners by establishing how training can bring about positive change in the innovative front of the organization. It also offers keys to the organizations for an active engagement of the employees through a supporting climate conducive for harnessing of individual creativity and innovative potential.

This is the first endeavour made to examine the moderated mediation influence of organizational climate on training and employee creativity, by studying the mediating effect of employee creativity between training and organizational innovation.

Irrigation facility has been identified by many researchers as one of the essential institutional factors in agriculture sector of any country, including India. Furthermore, its importance has also been admitted in the agro-productions in any provinces, districts and blocks. The equitable distribution of such facilities may lead to equitable distributions in the productivity of land for different crop productions. Under this milieu, this chapter intends to examine the trends in the different types of paddy production and irrigational facilities in the Paschim Medinipur District of West Bengal State in India and tries to correlate whether disparities in paddy production are associated with disparities in the distribution of irrigational facilities. The results show positive association between the two and prescribe inclusive arrangements of irrigational facilities to all the blocks in the district to have long-term solutions.

Despite India achieving many milestones under MGNREGA, the external and internal shocks result in below potential outcomes in employment demand and generation. This study examines how these shocks matter and how the migration-prone regions perform.

This study, employing district-level data from 2018 to 2021, investigates how climate change and COVID-19 have affected the employment demand and supply. We applied RE-GLS and IV-2SLS regressions to examine the effects of shocks on employment demand and generation, respectively. The difference in difference panel model is employed to test the spatial effects of the pandemic. Further, we used RE-GLS and extended regression model to examine how external shocks interacting with migration affect unemployment rates.

It was found that the pandemic increased employment demand and generation. This reflects the adverse effects of the pandemic and the swift action by the government. However, the responses were possibly different during climate shocks. The wage differential increased employment demand. However, demand decreased due to poor support from the support staff. The employment generation was higher in migration-prone districts, indicating that seasonal migration, being a lean-season phenomenon, continues to occur despite employment generation.

This study contributes to the literature in several ways. It captures spatial variations while examining the impact of climate change and COVID-19. It investigates the performance of MGNREGA in migration-prone areas. In effect, the findings provide policymakers with greater insight into the issues.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0132.

Volatility in agricultural commodity prices assumes a lot of significance since its associated uncertainty is one of the major factors affecting the income security of producers and traders. The study aims to investigate the fluctuations and instability of the two crops, paddy and wheat, in the states of India. It has estimated instability in prices over the years (2006–2023) for paddy and wheat for the top three producing states by using coefficient of variation (CV), Cuddy-Della Valle index and Coppock’s index. Then it estimates volatility by generalized autoregressive conditional heteroskedasticity (GARCH) framework. It is observed that the average standard deviation of prices across mandis for paddy in a given month is 0.18 and for wheat it is 0.22. Both for paddy and wheat Punjab has the maximum instability among the three states if we consider CV and Coppock’s index. But if we consider the Cuddy-Della Valle index, Madhya Pradesh has the maximum instability for wheat. The noticed unpredictability in the price series of paddy revealed that the value of ARCH (α) has significant term and value of GARCH (β) was also significant for all the price series. The volatility (α + β) was quite persistent of the order of 0.985 in case of Uttar Pradesh. In case of wheat Punjab has the maximum value 0.95 signifying explosiveness. In case of wheat Punjab has the maximum value 0.95 signifying explosiveness.

This chapter proposes a new architecture to address challenges to security and the privacy in e-healthcare under Industry 5.0. With the growing needs for high-quality medical treatment and the continuously growing costs of treating global medical problems, systems and web-based medical care are regarded as innovative solutions. In particular, the new progress in Internet of Things (IoT) has led to the development of Internet of Medical Things (IoMT). The patient history data is handled and processed remotely in real-time rather than visiting any clinic and then having that data transferred for subsequent use to third parties, such as data that gets saved in the cloud. This patient data faced security threats and it is observed as major limitations of using such systems in Industry 5.0. This chapter analyzes the security and secrecy challenges, together with the necessities, the danger involved and proposed secured blockchain-based framework which is capable of future research scope in Industry 5.0. The study has described an Eye Hospital case study that stores the eye donors’ details. With such critical scenario, this study addresses healthcare scenario with poverty-led agenda and social developmental features.

The purpose of this paper is to identify the pathways through which social protection policies in China and India can address the key challenges facing poor, vulnerable, and disadvantaged groups under rapid transformation in both countries.

This paper reviews the main social protection policies in China and India and analyzes the challenges that they are facing. This analysis is based on an evaluation of poverty and food security trends in both countries among vulnerable and disadvantaged groups followed by an overview of major experiences and gaps in social protection policies in the two emerging Asian giants.

Improving the coverage and targeting of social protection systems is vital, and will require a multi-faceted reform portfolio that promotes more integrated and horizontally equitable systems. Emphasis should be placed on developing productive, cross-sectoral social protection programs that combine short-term social safety support with long-term tools to enhance productivity, paying special attention to nutrition, health, and human capital development. More efficient coverage and targeting should bridge the rural and urban divide and be grounded in transparent criteria and procedures that govern program implementation at all levels of the government. As both countries become more urbanized, social protection programs need to give equal attention to emerging food insecurity and nutrition issues within urban areas without detracting from food security and nutrition efforts in rural areas.

Faced with a sizable population of undernourished and poor people, India and China have applied rather different approaches to address food insecurity. The originality and value of this paper lie in an in-depth parallel analysis of how China and India can better use their social protection systems to address food insecurity and undernutrition among poor, vulnerable, and disadvantaged groups.

India has a distinct family hierarchy and a vertical collectivistic culture. Indian traditional cultural norms discourage young adults from having romantic or sexual relationships before marriage. Romantic liaisons and marriages are fiercely opposed outside the caste and social network. Despite this cultural practice, research in the last decade demonstrated that more young adults in India engage in premarital romantic relationships and prefer a marriage of choice. However, they strongly wish their parents to approve of their partner and arrange their marriage. This increasing trend of love-cum-arranged marriages could be considered how Indian culture adapts to the demands of modernization strongly impelled by globalization. This chapter discusses the dynamics of change in the romantic and marital agency among young adults in India. First, the authors provide a brief historical introduction to the Indian marital system. Then, the authors discuss the changing cultural dimensions that promote marital choice and independence in partner selection (e.g., filial piety). Further, the authors provide an overview of the trends in premarital romantic relationships in India. In addition, the authors discuss the distress and conflict in Indian families due to the increasing premarital romantic and sexual relationships among Indian youth, as evidenced by eloped marriages, forced marriages, and honor killings.