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The purpose of this paper is threefold: first, to measure the health inequalities among malnourished children; second, to decompose the health inequalities to identify key socioeconomic predictors for child malnutrition; and third, to assess the change in the proportional contribution of key predictors over time.

The study has used data of National Family Health Survey (NFHS) conducted in 1992-1993, 1998-1999 and 2005-2006. The information on anthropometric indicators for children below three years of age is provided; however the study is restricted to “weight-for-age,” as it is considered to be a comprehensive indicator of child nutritional status. In the first stage of analysis, health inequalities are measured among malnourished children using concentration indices (CI) for each round of NFHS. In second stage, the inequalities are decomposed to estimate the proportional contribution of socioeconomic predictors. In the third stage, change in the relative contribution of socioeconomic predictors over three rounds is assessed to suggest target-specific policies and programs.

The results highlight a slow decline of only seven percentage points in the proportion of malnourished children in India during 1992-2006. The increasing values of CIs from −0.13 (1992) to −0.18 (2006) demonstrates the concomitant rise in economic inequalities among malnourished children. The results of decomposition analysis point toward household poor economic status and mother’s illiteracy as the major contributor of inequalities during 1992-2006. During the study period, the economic status explained 50, 65 and 59 percent of inequalities, whereas mother’s illiteracy explained 40, 30 and 29 percent of inequalities, respectively. Overall, the contributors to health inequalities remained the same over time with a change in their relative contribution.

The present study is focussed on three rounds of NFHS data conducted at different time period and so it has certain limitations which should be kept in mind while interpreting the results. The study has revealed mother’s education and economic status of the household as the major contributory factors toward child health inequalities. However, one should not forget that the level and quality of education has undergone tremendous change from 1992 to 2006 which the authors could not capture considering the availability of data in the form of years of schooling. Second, since the NFHS-1 has collected the information about the caste groups in only three categories, i.e. schedule caste, schedule tribe and others; the authors have to pool the other backward caste groups with the general caste groups. Third, the authors have used the broad classification of place of residence, i.e. rural and urban area to analyze the inequalities assuming the uniform level of development across the urban regions; however there exists huge disparities within urban areas which leave scope for further research. Fourth, though, the authors have estimated the wealth based inequalities, but NFHS does not provide the absolute level of wealth and so the authors have computed the proxy measure for wealth based on the household assets which has been extensively used in the field of research. Despite these limitations, the authors however believe that the present research work has appropriately decomposed the inequalities among malnourished children and have revealed the changes in the proportional contribution of socioeconomic factors over time.

The decomposition analysis brought into light that average health indicators are insufficient for determining the right approach to health intervention programs. Health policy interventions have to focus ideally on both health averages and within and between group inequalities based on varying contributions of socioeconomic determinants.

Concentrated efforts along with the inter-sectoral concurrence, good nutrition governance, effective investment and unequal distribution of resources are pre-requisites to ameliorate the level and existing inequalities in child malnutrition in India.

The distinctiveness of this study can be primarily found in the use of all three rounds of NFHS data to estimate health inequalities among underweight children. The study has also decomposed the health inequalities to estimate and analyze the change in relative contribution of socioeconomic predictors for each round to facilitate the formulation of target-specific policies and programs.

The purpose of this study is to investigate the scope of the addition of seaweed powders for the development of low-salt and fibre-enriched pork nuggets.

Three different seaweeds, namely, Kappaphycus alvarezii, Ulva lactuca and Sargassum tenerrimum, were incorporated separately at 3%, 4% and 5% levels to develop low-salt and fibre-enriched pork nuggets. A total of nine treatments (T1–T9) were compared the following incorporation of different percentages of seaweed powder, alongside a control. All the samples were investigated for physico-chemical parameters (pH, cooking yield and emulsion stability), proximate composition, colour, texture profile analysis and sensory characteristics.

With the incorporation of seaweed powders, the level of salt to be added was reduced in the formulation. All the treatments had higher (p = 0.05) cooking yield (%) and emulsion stability (%) than the control, along with an increase (p = 0.05) in total dietary fibre (TDF), irrespective of the type of seaweed added. Incorporation of seaweed significantly (p = 0.05) increased the hardness and chewiness of the products. On sensory analysis, out of all the treatments, T2 was found to have the highest scores in terms of various sensory attributes and was also found comparable to control. The study shows that based on physicochemical, proximate and sensory properties, out of all the tried levels, 4% Kappaphycus alvarezii powder can be incorporated for the development of low-salt and fibre-enriched pork nuggets.

The study highlighted the use of seaweeds as a functional ingredient in development of low-salt, fibre-enriched pork nuggets. It would result in improving yield and key nutritional and sensory attributes with a simultaneous decrease in the level of salt to be added in processing. Further, it would also provide an opportunity to use underutilized nutrient sources, i.e. seaweeds, which will also help in an overall reduction of the cost of developed products.

The technology for developing pork nuggets using seaweed powders is simple and can be easily adopted by small-scale entrepreneurs and processors. The product developed in his study can have a wider consumer base in terms of superior functionality.

Research on the development of low-salt, fibre-enriched pork nuggets incorporating seaweed powders is very limited. Utilization of seaweeds in meat product formulations represents a promising and innovative approach, aimed at enhancing nutritional profiles while maintaining desirable textural and sensory characteristics. This novel area of study leverages unique functional characteristics of seaweeds, such as high fibre content and natural mineral richness, to create healthier products, which is in consonance with the UN Sustainable Development Goal of Good health and well-being. Exploring the potential of seaweeds aligns with the growing demand for functional meat products alongside addressing consumers’ preference for products with lower sodium content without compromising sensory quality.

The purpose of this paper is to examine the impact of perceived social media marketing activities (SMMAs) on customer loyalty via customer equity drivers (CEDs) in an e-commerce context.

The study surveyed 371 students from a large university in India. The data were analyzed via confirmatory factor analysis and the research hypotheses were examined using SEM.

The study revealed three key findings. First, perceived SMMAs of e-commerce comprise five dimensions, namely, interactivity, informativeness, word-of-mouth, personalization and trendiness. Second, perceived SMMAs of e-commerce have significantly and positively influenced all the drivers of customer equity (CEDs). Third, the CEDs of e-commerce exhibit a significant and positive influence on customer loyalty toward the e-commerce sites.

This study will help e-commerce managers to boost customer loyalty toward the e-commerce sites through perceived SMMA.

The study is the first to identify five dimensions of e-commerce perceived SMMA. The current study also introduces the stimulus–organism–response model as a theoretical support to connect perceived SMMAs of e-commerce to customers’ loyalty via CEDs. This is supposed to be the first study to examine the impact of perceived SMMA on customer loyalty toward the e-commerce sites via CEDs in the e-commerce industry.

This study aims to evaluate Netemeyer and colleagues' much cited financial well-being scale in Brazil and India and compare responses from different demographics. It also compares the results using two analysis techniques, item response theory (IRT) and confirmatory factor analysis (CFA).

A total of 994 survey responses from Brazil and 1,081 from India were collected. IRT and CFA models were used to analyse the data.

The results demonstrate the two-dimensional structure of the financial well-being scale and show that different items are differentially useful in measuring the construct across different groups. These findings may support the scale's future refinement and use in applied studies that will target specific groups (e.g. males, females, younger respondents and older respondents).

This study serves as an example to others who can explore the advantages of IRT over classical test theory methods to assess the psychometric properties of scales aimed at measuring latent constructs of interest in the field of marketing.

The correct diagnosis of financial well-being is important to guide interventions by governments and non-governmental entities, as well as by financial institutions interested in better understanding individuals.

The authors show how the identification of the characteristics of scale items provided by the IRT technique allows for a better understanding of its properties and how it can be improved.

Numerous prior studies highlight the importance of social media adoption (SMA) in nongovernmental organizations (NGOs) in the disaster preparedness phase (DPP). However, in India, social media is underused by NGOs in their attempts to mitigate the adverse impact of the disaster. Therefore, this study aims to seek to empirically investigate the relationship between factors influencing the SMA in NGOs in the DPP in India.

The “Technology-Organization-Environment (TOE)” framework, integrated with organizational creativity (OC), forms the theoretical foundation of this study. Data were collected from 266 respondents representing 120 Indian NGOs using a seven-point Likert scale. To test the hypotheses, this study used a variance-based structural equation modeling technique.

The empirical findings show that relative advantage, organizational readiness (OR), top management support and government support positively influenced the SMA in NGOs during the DPP. However, compatibility and complexity do not affect the SMA. In addition, OC moderates the relationship between OR and SMA in NGOs. These results underscore the need for NGOs to develop an organizational culture that is more forward-thinking and technology oriented.

This study fills an important research gap in the literature by developing a research model designed to improve the SMA in NGOs during the DPP in India. Furthermore, the authors integrated OC into the TOE framework to develop and examine the relationship between factors that impact SMA.

The research examines how the principle of Dharma can be included in the Indian National Education Policy (NEP) 2020. The study seeks to know how Dharma as an educational framework can be infused with contemporary education to promote moral and ethical development as well as intellectual growth among students in India.

This research uses qualitative analysis of NEP 2020 documents and literature related to Indian Knowledge Systems (IKS) and the concept of Dharma. It analyses the philosophical bases behind NEP including traditional texts like Vedas, Upanishads, among others. Moreover, this study also evaluates how current Dharma teachings are implemented into curriculum by assessing its present status of incorporation as a part of Indian Knowledge System.

This research has found that national educational reforms have considered many traditional Indian beliefs and values, but they have not done enough when it comes to incorporating Indian Knowledge System and the concept of Dharma into practice through the curriculum. The paper advocates for a system that is grounded on morals, thus blending the current learning standards with cultural heritage. These findings call for continuous endeavouring in order to embed ethical and moral dimensions of Dharma across all levels within India’s education systems.

The integration of Dharma and IKS in education can enhance the development of well-rounded individuals who are not only intellectually competent but also ethically and morally grounded. This strong foundation of Dharma will also act as a personal and professional guide. Educators and policymakers can use these insights to design curricula that promote holistic growth, aligning with both global educational standards and cultural values.

This paper examines the philosophical and ethical foundation of NEP 2020 instead of only considering its pedagogical and skill-enhancement characteristics, thereby giving a fresh viewpoint. It contributes to the discussion on educational reforms in India by highlighting how present educational needs should be linked with traditional values. The research shows that the concept of dharma can help learners develop holistically so that they can meet present-day problems without losing touch with timeless morals.

This study aims to assess the current state and impact of the RegTech industry on financial regulation and compliance by providing a comprehensive overview of its evolution and identifying key challenges and opportunities.

A hybrid review approach was employed, involving a detailed bibliometric analysis of 89 scholarly articles and a content analysis of 47 key studies, covering the period from 2010 to 2023.

The research identifies critical trends and challenges within the RegTech industry, focusing on the roles of regulatory bodies and technological innovations. It explores four major themes: (1) RegTech applications in FinTech, financial services and banking regulations; (2) RegTech’s role in compliance management and fraud prevention; (3) the impact of digital transformation, governance and regulations; and (4) the integration of Big Data, AI, ML and blockchain in regulatory systems.

This study provides a comprehensive framework for understanding the complicated applications of RegTech, highlighting its potential to enhance compliance efficiency, mitigate risks and foster innovation within the financial sector. The insights provided are valuable for policymakers and financial institutions aiming to develop more robust regulatory frameworks and practices.

This study uniquely integrates bibliometric and content analysis to provide an up-to-date and nuanced overview of RegTech, focusing on recent advancements in AI, ML and blockchain technologies. It not only maps current trends but also identifies research gaps and offers new directions for future research.

Adopting and implementing robotic technology applications in the library is a significant technological up-gradation today. The purpose of this study was to evaluate selected literature focused mainly on robotics technology applications in the field of libraries and to assess the online social attention to research publications.

The study employed Scientometric and altmetric tools to evaluate the research publications. The bibliographic data of research publications were downloaded from Scopus database and scrutinized one by one and 71 articles were selected which mainly focused on robotic technology in libraries. Altmetric data were collected from the Dimensions.ai database. The analysis was performed using MS Excel, Tableau, Biblioshiny, VOSviewer and SPSS software.

Research on robotic technology in the field of libraries has been experiencing a gradual increase, marked by an annual growth rate of 12.93%. The United States has prominently led the way as the most active participant and collaborator in this advancement. Among the various journals, Library Hi Tech has notably stood out as a significant contributor to this field. However, the research articles have garnered limited social attention and impact. Furthermore, the patterns of authorship collaboration have demonstrated relatively modest levels within the field, and a weak correlation has been observed between the social attention received and the Scopus citation metrics of the publications.

The research needs to be disseminated more through various social media platforms to increase its visibility. Sharing research information through social media can bridge the gap between academia and society. The findings of this study can serve as a valuable reference for researchers and policymakers.

This study presents a Scientometric analysis of the selected published literature on robotics technology applications in the field of libraries, highlighting the progress and development of worldwide research in this area.

The purpose of this study is to investigate and evaluate the impact of varying proportions of reinforcement on the mechanical properties of a modified Al₂O₃-LM6 cast composite under self-pouring temperature conditions. This study aims to determine the optimal mixture proportion of fine powders of Al, Si and xAl₂O₃ (with x values of 2%, 3% and 4%) through the application of design of experiment (DoE) and statistical analysis using the Minitab software. This study also involved evaluating the microstructural estimation and other physical properties of the cast composite to understand the combined effect of the reinforcement proportion on the material’s properties.

The researchers initially mixed the powders through ball milling and then compacted the moisture-free powder mix in a closed steel die. The resulting preforms were heated at the self-pouring temperature in an inert environment to fabricate the final cast composite. By applying DoE and performing an analysis of variance (ANOVA), the researchers sought to optimize the mixture proportion that would yield the best mechanical properties.

The experimental results indicated that a mixture combination of 83.5% Al blended with 12.5% Si and 4% Al₂O₃ led to the greatest improvement in mechanical properties, specifically in terms of increased density, hardness and impact strength. The ANOVA further supported the interaction effect of each processing parameter on the observed results. The results of this study offer valuable insights for the fabrication of modified Al₂O₃-LM6 cast composites under self-pouring temperature conditions. The identified optimal mixture proportion provides guidance for manufacturing processes and material selection to achieve improved mechanical properties in similar applications.

This study focuses on a specific composite material consisting of modified Al₂O₃ and LM6. Although Al₂O₃ and LM6 have been studied individually in various contexts, the combination of these materials and their impact on mechanical properties under self-pouring temperature conditions is a novel aspect of this research. The researchers use DoE methodology, along with statistical analysis using Minitab software, to optimize the mixture proportion and analyze the data. This systematic approach allows for a comprehensive exploration of the parameter space and the identification of significant factors that influence the mechanical properties of the composite.