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Accelerated life test is undertaken to induce early failure in high-reliability products likely to last for several years. Most of these products are exposed to several fatal risk factors and fail due to one of them. Examples include solar lighting device with two failure modes: capacitor failure, and controller failure. It is necessary to assess each risk factor in the presence of other risk factors as each one cannot be studied in isolation. The purpose of this paper is to explore formulation of optimum time-censored accelerated life test model under modified ramp-stress loading when different failure causes have independent exponential life distributions.

The modified ramp-stress uses one test chamber in place of the various chambers used in the normal ramp-stress accelerate life test thus saving experimental cost. The stress-life relationship is modeled by inverse power law, and for each failure cause, a cumulative exposure model is assumed. The method of maximum likelihood is used for estimating design parameters. The optimal plan consists in finding out relevant experimental variables, namely, stress rate and stress rate change point(s).

The optimal plan is devised using D-optimality criterion which consists in finding out optimal stress rate and optimal stress rate change point by maximizing logarithm of determinant of Fisher information matrix to the base 10. This criterion is motivated by the fact that the volume of joint confidence region of model parameters is inversely proportional to square root of determinant of Fisher information matrix. The results of sensitivity analysis show that the plan is robust to small deviations from the true values of baseline parameters.

The model formulated can help reliability engineers obtain reliability estimates quickly of high-reliability products that are likely to last for several years.

Accelerated life tests (ALTs) are used to make timely assessments of the lifetime distribution of highly reliable materials and components. Life test under accelerated environmental conditions may be fully accelerated or partially accelerated. In fully accelerated life testing, all the test units are run at accelerated condition, while in partially accelerated life testing, they are both run at normal and accelerated conditions. The products can fail due to one of the several possible causes of failure which need not be independent. The purpose of this paper is to design constant-stress PALT with dependent competing causes of failure using the tampered failure rate model.

Gumbel–Hougaard copula is used to model and measure the dependence between the life times of competing causes of failure. The use of the copula simplifies the model specification and gives a general class of distributions with the same dependent structure and arbitrary marginal distributions.

The optimal plan consists in finding optimum allocation of test units in different chambers by minimizing the reciprocal of the determinant of Fisher Information Matrix. The confidence interval for the estimated values of the design parameters has been obtained and sensitivity analysis carried out. The results of sensitivity analysis show that the plan is robust to small deviations from the true values of baseline parameters.

The model formulated can help reliability engineers obtain reliability estimates quickly of high reliability products that are likely to last for several years.

This chapter deals with an important but neglected aspect of female labor force participation (FLFP) in urban India. Contemporary literature typically focuses on the entire urban sector and ignores one important aspect of urban living – the slums and its dwellers. This study fills that critical gap by examining two different household surveys side-by-side: a primary survey of households living in slums and slum-rehabilitated colonies, and the nationally representative Indian Human Development survey-II. This study brings outs a comparative picture of nature/type of FLFP and its various correlates from both slum and non-slum areas of three metro cities of India, viz. Delhi, Kolkata and Mumbai. It further explores the similarities and the differences of the correlates for FLFP among the slum clusters of these cities. It is found that despite being poorer and marginalized, the slum dwelling women’s LFP rate is not extra-ordinarily high vis-á-vis their non-slum urban counterparts. In slums, a higher proportion of women are engaged in self-employment (including family business) and casual employments (includes domestic helps), whereas in non-slum areas relatively more women are engaged in regular salaried jobs. Regression analysis identifies correlates that have similar effects, but with different intensity, across-the-board – relationship between education and FLFP reflects a flat-bottom J-shaped pattern; being married, higher child dependency ratio and household heads with higher education significantly constrain women’s work choice; strong income effect of other household members earning on FLFP, but asset holding has no bearing. However, there are other factors that affect FLFP differently in slums and non-slum areas. Policy prescriptions are drawn.

Paper studies the intervention of FI and TD on the sharing intention on social media (SM) users with different motivations.

The mechanism for different motivations of SM users to influence sharing intention is explored using WarpPLS. The proposed model applies TAM in Hedonic Motivation System context and includes an alternate pathway of flow state.

Reciprocal relationship between FI and TD is empirically proven. Insights from the “Motivated Sharing Model for Social Media”(MSMSM) follow that users who use SM for information get immersed, however intention to share is not triggered by it.

This study emphasizes on the compatibility of content characteristics with the gratifications of the motivations for SM use to achieve virality. Practitioners may use MSMSM to optimize content, so it appeals to the target audience and has a higher probability of being shared.

Social media users carry different motivations and choose to share select content on the overloaded platform. However, the mechanism for different motivations to drive sharing on SM has remained unexplored. Literature highlights flow as the driver of sharing, whilst the findings on the relationship between flow state and sharing intention on SM are inconclusive; some estimate a positively significant relationship, while others find it to be partially or selectively significant. In this study, intervention of the two dimensions of induced flow: namely, focused immersion (FI) and temporal dissociation (TD)—on the sharing intention on SM is examined.

There has been an extensive amount of research on the determinants of military spending over the last 25 years. These studies underline that military spending is a complicated concept, with economic capabilities, political processes and military linkages playing an interdependent role at the national, regional and global levels. Recent works focus on other outcomes of military spending. This chapter develops a model of conflict that generates a demand for military personnel and equipment by countries for either aggressive or defensive purposes. This model highlights some of the key determinants of military spending. Using pooled time-series, cross-sectional data on military spending for 146 countries from 1998 to 2007 we test this model and analyze other possible factors that previously have not been explored in the literature.

For a sustainable and eco-friendly supply chain, the objective is to reduce the harmful effects on the environment caused by a variety of factors, such as supply chain revenue and profit concerns, water and energy use and waste production. The primary barrier to more sustainable supply chains is cost, and smaller enterprises in particular find it difficult to pay for the upfront expenses. The prices are utmost important in freight forwarding services. The chapter aims to identify the different variables that affect the spot freight rate, considering a small number of Indian logistics firms, and to determine the spot freight rate factors that affects freight rates and supply chain management's sustainability. Using a structured questionnaire, the information was gathered from 308 logistics service companies. Descriptive statistics was used and factor analysis using principal component analysis (PCA) are the tools and methodologies employed for the analysis of the data gathered. The software tool utilized for the data analysis is SPSS (Statistical Package for the Social Sciences) 17.0. SPSS helps to obtain clear and precise results. From the analysis, it was deduced that there are five factors of spot freight rate which was done by using factor analysis using PCA, which affects the volatility explaining a total of 67.75% variation in the data set. The study shows that these identified factors impact the freight rate and also the sustainability in management of supply chain practices in India.

The purpose of this paper is to assess Indian consumers' brand consciousness by examining their brand knowledge, purchase behaviour and perceptions of foreign brands. It provides key inputs for global retailers to harness the potential in growing consumerism in India.

A survey of 300 Indian consumers was conducted and the data were analysed using descriptive and simple regression techniques.

The study found that brand purchase in India varies across product categories. At present, consumer knowledge and use of foreign brands is low, and Indian consumers are price‐sensitive. Indian consumers are experimenting with brands and would like more foreign brands to enter the Indian market.

Due to the small sample size, advanced econometrics techniques could not be used to analyse the dataset.

The paper is the first to assess the impact of retail liberalisation on Indian consumers' shopping behaviour, particularly their brand consciousness.

Economies and societies are not digitally isolated. Digital technologies are widely recognised as key drivers of information dissemination, knowledge sharing, income and employment. Digital technologies also influence the interlinkages of digitalisation, gender and labour market outcomes. Digital technologies impact every sphere of day-to-day life. It impacts ways of communication, trade and business; influences networking abilities; shapes societal norms, attitudes and behaviours. It is hence argued that digital technologies may have crucial implications for women's participation in the workforce.

Gender equality and increasing women's workforce participation is an important goal under the United Nations Sustainable Development Goals (SDGs). Research indicates that women are mainly involved in agricultural work, blue-collar formal work, while collar formal work, and entrepreneurship. Digital technologies significantly impact the ways of working in all these sectors. Consequently, it is argued that digital technologies influence women's participation across all such types of work.

This chapter aims at unravelling the linkages between digital technologies and women's workforce participation. To this end, the influences of digital technologies on women's participation in agricultural work, blue-collar formal work, white-collar formal work and entrepreneurship are discussed. The implications and impacts of the use of broadband, internet and mobile technologies are also discussed. This chapter also includes important theories of women's workforce participation and discusses them in light of digitalisation.

This paper aims to evaluate the impact of garden cress supplemented biscuits on the nutritional status of malnourished children.

For the present study, 60 underweight and anemic seven-nine-year-old school children were selected according to the World Health Organization (WHO) classification and divided into two groups, i.e. experimental (30) and control (30). Biscuits (60 g) developed using roasted garden cress seeds were supplemented to the experimental group, while biscuits without garden cress seeds were provided to control group for a period of three months and impact was observed in terms of improvement in nutritional status of subjects before and after the supplementation.

The food and nutrient intake increased with increased percent nutrient adequacy and sharp increase (p ≤ 0.05) was noticed in cereal, fat and sugar after supplementation. Average height, weight, body mass index and mid-upper arm circumference increased, with 3.56 and 0.87 per cent gain in weight and height (p ≤ 0.05) respectively. Hemoglobin levels increased from 10.6 to 11g/dl with little improvement (p ≤ 0.05) in proteins, albumin and other indices of blood profile and nine subjects fell in non-anemic category.

The diets of both groups were not controlled, which might have varied the results.

Garden cress-seed-enriched biscuits were able to have a positive impact on the nutritional profile of malnourished and anemic school children.

The duration of supplementation was short, which may have affected these results. Therefore, researchers are encouraged to perform long-duration supplementation study for more accurate results.

This paper identifies the need for promoting garden cress seeds in supplementary foods to reduce malnutrition.

The purpose of the present study is to explore the effects of early life international exposure on the career capital (CC) of adult third culture kids (ATCKs).

The study adopts a qualitative research design based on 34 semi-structured interviews with ATCKs who have had international exposure in their childhood as members of an expatriate family.

The results show that a globally mobile childhood has extensive long-term impacts on ATCKs' CC in the areas of knowing-why, knowing-how and knowing-whom. Additionally, their early international experience also had several negative impacts across these aspects of CC.

This paper provides a novel understanding of the long-term impacts of early life international exposure on ATCKs' CC, and this paper is the first study to use the CC framework among an ATCK population.