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A plethora of studies have documented evidence on morbidity patterns and treatment-seeking behaviour among older persons in India. However, so far no attempt has been made to understand differences in the morbidity prevalence rates and utilization of health care services among older adults between religion groups in India. The purpose of this paper is to make an effort in this direction.

Multivariate logistic regression models were fitted to examine the association between socio-demographic conditions and morbidity prevalence and health care-seeking behaviours among the two religion groups: Hindu and Muslim. Data from the 60th round of the National Sample Survey in 2004 were used.

This study provided interesting evidence that, overall, the morbidity prevalence rate was higher among Muslim older persons than their Hindu counterparts by seven percentage points and Hindu scheduled caste (SC) and scheduled tribe (ST) counterpart population (compared to SCs eight percentage points, and STs 20 percentage points); income had no association with the burden of disease among Muslim older population – an older person belonging to the first income quintile was equally likely to report ill-health as an older person of the fifth income quintile. However, despite the low socio-economic status, Muslim older persons were more likely to seek treatment for ill-health compared to Hindu older persons but spent less money for treatment. Also, loss of household income due to sickness was greater among Muslim compared to Hindu older adults.

The findings of this study are important to support the policy makers and health care providers in identifying individuals “at risk” and could be integrated into the current programs of social, economic and health security for the older persons.

South Asian region is a focal point owing to its vulnerabilities to climate-sensitive diseases, dependence on climate-sensitive livelihoods, projected levels of crop decline in the region, and high rates of poverty and malnutrition. Women are particularly vulnerable to climate change and this affects women disproportionately during different extreme events. The purpose of this paper is to understand the issue of climate change and its impact, and climate resilience among women in South Asia. Further, it also identifies the gaps and suggests future policy implications.

Climate change is increasingly being recognised as an alarming issue and the present review is important when South Asian countries are facing the brunt of climate change impacts. This paper tries to understand the issue by review of the literature and conceptual framework methodology. To understand women’s vulnerability due to climate change and its aftermath, the authors conducted both offline and online desk reviews for this study.

The findings of this study show a clear linkage between climate change and women’s vulnerabilities in South Asia. Climate change has significant socio-economic impacts on women, and it affects them disproportionately in various domains of agriculture, livelihood, food security, both physical and mental health, water and sanitation in the South Asia region.

The paper also highlights that the programmes that aim at combating the effects of climate change require a gender-sensitive approach so that climate change does not obstruct the development and reduction of poverty in the region.

The findings of this paper will add value in helping families to come out of poverty by undertaking adaptive measures with proactive assistance from the government and grassroots level organisations.

The present study also advocates for more gender- and climate-sensitive measures from governments, and implementation of intervention- and evidence-based research in the South Asian countries.

Since inception, National Sample Survey (NSS) is the only large-scale household survey in India, periodically collecting data on morbidity and health care conditions in the country. In these surveys, information for all members of sample households was gathered either from head or a key informant of the household. This paper aims to discuss these issues.

This study was developed to examine whether the use of proxy respondents influences population estimates of morbidity prevalence rates and factors associated with morbidity prevalence rates among adults based on latest 60th round NSS data on morbidity and health care.

The results showed that use of proxy in this survey had severely affected morbidity prevalence rates among adult persons aged 18 years and above. The result showed that use of proxy in the NSS 60th round survey had resulted in underestimation of morbidity prevalence rates among adults in such a way that overall morbidity prevalence rate was 45 per cent higher in direct interviews (148 per 1,000 adult persons) compared to those answered by proxies (81, p<0.001). There were variations in underreporting of morbidities by socio-economic and demographic characteristics of proxies but the direction of the association was the same.

The study conclude that morbidity data from the NSS can be used regardless of use of proxies and that the association between worse health condition and socio-economic and demographic factors persisted even when information was collected from a proxy. However, suitable adjustments for proxy-reporting should be made while estimating realistic population at risk from the NSS data.

This is the first manuscript that has made an attempt to examine the effect of proxy-reporting on morbidity prevalence in NSS data. Since its inception in 1955, NSS data are the only data source available in India on morbidity and health care conditions. A large number of research manuscripts have been published using this data and there were serious concerns among the researchers on data quality particularly about the reporting of health status. NSS 60th round first time provided information on reporting status, i.e. proxy vs self. In this context, the present study made an effort in this direction.

At the turn of twenty-first century, India is facing rapid population ageing coupled with consequential socio-economic development changes. Against the backdrop of such changes, its traditional familial support system of living arrangements for older persons is swiftly changing, undergoing rapid transition towards nuclear family systems. The paper aims to discuss these issues.

This paper examined: first, the changing trends and patterns in joint family systems defined in terms of households with older persons and total households; and second, socio-economic and demographic determinants of changes in the proportion of nuclear households with older adults. The decomposition analysis segregated the contribution of determinants of the change in nuclear households with older persons in three different components: propensity, composition, and interaction. The study used data from three successive rounds of the National Family Health Survey.

Results indicate that a lower proportion of households with older persons were nuclear compared to total households. However, for both types of households, nuclear households increased by nine percentage points during 1992-2006. Households with older persons that were headed by old aged persons, illiterates or females, situated in urban area, not owned agriculture land, lower affluent level, and from Southern India were at most risk of being nuclear than their counterparts.

This study provided ample evidence of the increase in nuclear familial structure for older persons in the course of population ageing. Population ageing, urbanization and increase in education, primarily contributed to the increase in nuclear family households of older persons.

Twenty-first century has dawned with substantial achievements in population health outcome indicators in India. However, very little is known on patterns in causes of death in India. The paper aims to discuss this issue.

In this paper, data was drawn from two sources namely, National Family Health Survey (NFHS-1, 1992-1993 and NFHS-2, 1998-1999) and published reports of Survey of Cause of Death (Rural). Three-years moving average causes-of-death estimates were calculated based on World Health Organization classification of causes of death. Negative binomial regression models were fitted to capture the effect of socio-demographic and behavioural determinants of patterns in causes of death.

The leading causes of death were heart diseases, tuberculosis, asthma, paralysis, prematurity and cancer. Three-fifth of the deaths to children under the age of ten was from communicable, maternal, perinatal and nutritional conditions. On the other hand, about two-third persons aged 45 years and above were dying from non-communicable diseases. Female were at greater risk of dying from non-communicable diseases (IRR: 1.22, 95 per cent CI: 1.11-1.34, p < 0.001).

The epidemiologic transition in India has produced a shift in mortality from communicable, maternal, perinatal and nutritional conditions to non-communicable diseases, with little or no role played by injuries regardless of the level of all-cause mortality. Coupled with the effects of population age structures, other factors were also responsible for the bulk of the inter-regional disparities. These factors include differences in the populations’ health risks associated with the natural or built environments, prevalence of behavioural risk factors, or gaps in the capacities of health systems to respond to specific disease challenges, social stratification and others.

This paper described the trends, patterns and geographic variability in India’s causes-of-death profile in terms of communicable diseases, non-communicable diseases and injuries, and socio-economic and demographic determinants of patterns in the profile.

Outsourcing has become a strategic decision for most of the organizations in the present context of globalization and circular economy. The objective of proposed study is to empirically investigate the relationship between the outsourcing benefits and triple bottom line (TBL)-based performance of reverse supply chain (RSC) comprising of economic, environmental and social factors.

In the present study, the partial least square path approach of structural equation modeling has been applied for testing hypotheses. A questionnaire was developed for collecting the information and responses from the experts of electronics industry, India. Measurement models were tested for ensuring the fitness of data for further applying partial least square path approach of SEM.

The results provide insightful information on outsourcing and RSC performance. It reveals that outsourcing decisions are important and have great influence on the economic, environmental and social performance of RSC.

The study will provide useful guidance to the organizations for outsourcing decisions. One of the limitations of the study is that it has considered data collected from the Indian electronics industry. Therefore, results may not be generalized.

The third-party service providers have core competencies, and they are the experts of providing RSC services. It is also apparent from the exploration of past research and theoretical background that there are limited number of studies focusing on the impact of outsourcing decisions in RSC performance specifically from the TBL perspective. Hence, the proposed study is an effort to explore the impact of outsourcing RSC activities on the performance of RSC from a sustainability perspective.

Multi-jet deposition of the materials is a matured technology used for graphic printing and 3 D printing for a wide range of materials. The multi-jet technology is fine-tuned for liquids with a specific range of viscosity and surface tension. However, the use of multi-jet for low viscosity fluids like water is not very popular. This paper aims to demonstrate the technique, particularly for the water-ice 3 D printing. 3 D printed ice parts can be used as patterns for investment casting, templates for microfluidic channel fabrication, support material for polymer 3 D printing, etc.

Multi-jet ice 3 D printing is a novel technique for producing ice parts by selective deposition and freezing water layers. The paper confers the design, embodiment and integration of various subsystems of multi-jet ice 3 D printer. The outcomes of the machine trials are reported as case studies with elaborate details.

The prismatic geometries are realized by ice 3 D printing. The accuracy of 0.1 mm is found in the build direction. The part height tends to increase due to volumetric expansion during the phase change.

The present paper gives a novel architecture of the ice 3 D printer that produces the ice parts with good accuracy. The potential applications of the process are deliberated in this paper.

This paper aims to address the supplier selection problem based on a developed framework capturing the essence of the supply chain operations reference (SCOR) model, sustainability and providing services to customers. Specifically, the authors consider planning, manufacturing, delivery, sustainability and customer service attributes to evaluate and select suppliers.

Relevant literature is reviewed, a framework capturing the essence of major supply chain functions was developed and suitable measurement attributes were identified. An integrated fuzzy analytic hierarchy process and fuzzy technique for order performance by similarity to ideal solution method are employed to obtain the final ranking of the attributes and suppliers. The proposed methodology is illustrated through a real case of an Indian automobile company.

The authors observed that planning, manufacturing, customer service, sustainability and delivery are preferred in decreasing order to select component suppliers for an automotive company. The impact of suppliers on planning and manufacturing is most important to consider while assessing suppliers. Interestingly, concerns about sustainability and delivery are the least cared factors when selecting suppliers. The top five criteria contain measures of operational efficiency rather than purchasing cost.

This paper proposes and demonstrates a supplier selection framework harmonizing supply chain functions of the SCOR model, sustainability and customers service that adds a valuable wing to literature that expounds on the connection of purchasing strategy to corporate strategy. A case study in an automotive company throws unique and valuable managerial implications for purchasing and supply chain performance.

Recently, reverse logistics (RL) has become more prominent due to growing environmental concerns, social responsibility, competitive advantage and high efficiency by customers because of the expansion of product selection and shorter product life cycle. However, effective implementation of RL results in some direct advantages, the most important of which is winning customer satisfaction that is vital to a firm’s success. Therefore, paying attention to customer feedback in supply chain and logistics processes has recently increased so that manufacturers have decided to transform their RL into customer-centric RL. Hence, this paper aims to identify the features of a mobile phone which affect consumer purchasing behaviour and to analyse the interrelationship among them to develop a framework for customer-centric RL. These features are studied based on website analysis of several mobile phone manufacturers. The special focus of this paper is on social media data (Twitter) in an attempt to help the decision-making process in RL through a big data analysis approach.

A portfolio of mobile phone features that affect consumer’s mobile phone purchasing decisions has been taken from website analysis by several mobile phone manufacturers to achieve this objective. Then, interrelationships between the identified features have been established by using big data supplemented with interpretive structural modelling (ISM). Apart from that, cross-impact matrix multiplication, applied to classification analysis, was carried out to graphically represent these features based on their driving power and dependence.

During the study, it has been observed from the ISM that the chip (F5) is the most significant feature that affects customer’s buying behaviour; therefore, mobile phone manufacturers realize that this is to be addressed first.

The focus of this paper is on social media data (Twitter) so that experts can understand the interaction between mobile phone features that affect consumer’s decisions on mobile phone purchasing by using the results.

The purpose of this study is to analyze sustainability issues in the context of logistics service providers (LSPs) and to evaluate the sustainability index of an LSP in the Indian scenario.

The case study method is used to understand the sustainability issues of an Indian LSP. The situation–actor–process (SAP) and learning–action–performance (LAP) framework has been applied to critically examine the sustainability issues of the case organization. The information about the case study is collected from both primary and secondary sources, and a detailed analysis of different sustainability issues in the context of an Indian case has been done. The sustainability index for the case organization has been also evaluated.

It can be observed from the in-depth case analysis that LSPs have started making use of green practices for long-term sustainability, but adoption is very slow in developing countries such as India. Based on SAP-LAP analysis of an Indian LSP, suitable actions are recommended for improving the performance of LSPs.

Adoption of sustainable practices by LSPs can lead to sustainable performance. Sustainability index can assist LSPs to benchmark their sustainability performance to meet the market requirements.

The novelty of this study is to analyze the issues related to implementation of sustainable practices in an Indian LSP through SAP-LAP framework. It also illustrates the evaluation of sustainability index.