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The purpose of the study is to explore the bibliometric features of scientific publications in the area of domestic violence (an important global social problem) for the period 2011–2020; thus, enabling the scientific community to understand the research progress on the topic.

The data of the scientific publications were retrieved from the Scopus database. The keyword “Domestic Violence” was applied as a topic term to search articles published during the study period. The statistical analysis was conducted by using the RStudio and VOSviewer tools along with MS Excel.

A total of 11,899 scientific works were published during the study period. The annual percentage growth of publication in the area of domestic violence in the study period is 74.97%. The majority of the papers (74.72%) were published as journal articles. USA and UK have the highest numbers of scientific publications and citations. Together they account for more than half of the publications (58.38%) and citations (67 per pub). However, the highest average citation per publication has been recorded by Switzerland (34 per pub). Feder G. (UK) is the most cited author, and the Journal of Interpersonal Violence (Sage publications) has the highest number of publications, citations and source title impact ratio in the domain of domestic violence.

One can find numerous bibliometric studies in the domain of natural science, but not many studies have been conducted in the field of social sciences. In this light, the scientific community can gain from the bibliometric information regarding the scientific publications in the area of domestic violence, which is one of the dominant areas of study in social sciences.

The study will provide significant information on the trends of academic publications in the study area. It is one of the most comprehensive studies on domestic violence, which will aid the potential researchers in identifying the most prominent contributions, county-wise research distribution, author and journal productivity and other related indicators. The findings of the study will be also helpful to library authorities in reviewing and updating collection development policy.

The aim of this study is to examine the nature and determinants of stock market integration between India and other Asia–Pacific countries (Malaysia, Hong Kong, Singapore, South Korea, Japan, China, Indonesia, the Philippines, Thailand and Taiwan) over the period 1991–2021.

Unit root tests, the dynamic conditional correlation-Glosten Jagannathan and Runkle-generalized autoregressive conditional heteroscedasticity (DCC-GJR-GARCH), pooled ordinary least squares (OLS) regression and random effects models are employed for the analysis.

The empirical results show that the DCC between each pair of sample countries is less than 0.5, indicating weak ties between the pairs of sample countries. Also, the DCC between India and other Asia–Pacific stock markets is positive and low, implying low level of integration. The correlation between India and China stock markets is found to be the highest, implying significant level of integration. The main reason for it would be strong economic linkages and bilateral trade relationship between India and China. Moreover, gross domestic product (GDP), interest rate (IR), consumer price index (CPI)-inflation and money supply (MS) differentials are the major driver of stock market integration between India and other Asia–Pacific countries.

The findings of the study have important implications for investors, portfolio managers and policymakers. It is found that the DCC between India and other Asia–Pacific countries (considered in the study) except China is low, which indicates weak ties between the pairs of sample countries. This implies that the Indian stock market provides good investment opportunities for foreign investors. Also, investors and portfolio managers can attain more diversified benefits and can minimize country risk by investing across Asia–Pacific countries. Further, knowledge about the factors that integrate the Indian stock market with the other Asia–Pacific stock markets will help policymakers frame suitable economic and financial stabilization policies.

This study contributes to the extant literature: first, by examining the linkages of Indian stock market with other Asia–Pacific countries; second, although previous studies confirmed the existence of linkages among the various stock markets, few researchers pay attention to the factors driving the process of stock market integration. This study provides additional evidence by examining the significant macroeconomic factors driving the process of such integration in the Asia–Pacific region considered under the study.

Sleep quality has been associated with health and safety issues influencing construction labour productivity in developing countries. Despite its significantly adverse contribution to these facets if left unattended to, limited studies have sought to establish its prevalence and causal factors in labour-intensive contexts. This study aims to bridge the gap between the prevalence and casual factors of poor sleep quality among construction workers.

Adopting a case study research design, data were collected from a randomly selected sample of construction workers (n = 475) recruited from four construction-based corporations in Southern India. Self-administered questionnaires comprising a Pittsburgh Sleep Quality Index (PSQI) scale was used to measure sleep quality among respondents alongside demographic characteristics, lifestyle preferences and work-habits data. Data were analysed using multivariate logistic regression analysis and descriptive statistical techniques.

Slightly more than a third of the construction workers (n = 33.9%) surveyed experienced poor sleep quality based on a PSQI method score of = 5. Also, the nexus between demographic characteristics, lifestyle preferences and work habits on the incidence of poor sleep quality among construction workers was confirmed.

The study contributes to the contemporary discourse on improving sleep health of construction workers to enhance their well-being thereby enabling their contribution towards achieving improved construction labour productivity.

This study makes an original contribution to the extent that it seeks to not only determine the prevalence of sleep quality within the construction industry and associated causal factors but to explore its implications on construction labour productivity.

This paper aims to study the evolution of definitions of internet of things (IoT) through time, critically assess the knowledge these definitions contain and facilitate sensemaking by providing those unfamiliar with IoT with a theoretical definition and an extended framework.

164 articles published between 2005 and 2019 are collected using snowball sampling. Further, 100 unique definitions are identified in the sample. Definitions are examined using content analysis and applying a theoretical framework of five knowledge dimensions.

In declarative/relational dimensions of knowledge, increasing levels of agreement are observed in the sample. Sources of tautological reasoning are identified. In conditional and causal dimensions, definitions of IoT remain underdeveloped. In the former, potential limitations of IoT related to resource scarcity, privacy and security are overlooked. In the latter, three main loci of agreement are identified.

This study does not cover all published definitions of IoT. Some narratives may be omitted by our selection criteria and process.

This study supports sensemaking of IoT. Main loci of agreement in definitions of IoT are identified. Avenues for further clarification and consensus are explored. A new framework that can facilitate further investigation and agreement is introduced.

This is, to the authors’ knowledge, the first study that examines the historical evolution of definitions of IoT vis-à-vis its technological features. This study introduces an updated framework to critically assess and compare definitions, identify ambiguities and resolve conflicts among different interpretations. The framework can be used to compare past and future definitions and help actors unfamiliar with IoT to make sense of it in a way to reduce adoption costs. It can also support researchers in studying early discussions of IoT.

This paper aims to investigate the causal nexus between foreign direct investment (FDI) and economic growth in SAARC countries.

Johansen's cointegration test was employed to examine the long‐run relationship between foreign direct investment and economic growth in SAARC countries. Besides, the vector error correction model (VECM) was employed to examine the causal nexus between foreign direct investment and economic growth in SAARC countries for the years 1970‐2007. Finally, the impulse response function (IRF) has been employed to investigate the time paths of log of foreign direct investment (LFDI) in response to one‐unit shock to the log of gross domestic product (LGDP) and vice versa.

The Johansen cointegration result establishes a long‐run relationship between foreign direct investment and gross domestic product (GDP) for the sample of SAARC nations, namely, Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. The empirical results of the vector error correction model exhibit a long‐run bidirectional causal link between GDP and FDI for the selected SAARC nations except India. The test results show that there is a one‐way long‐run causal link from GDP to FDI for India.

This paper employed annual data to examine the causal nexus between FDI and economic growth. Therefore, researchers are encouraged to test the FDI‐growth relationship further by using quarterly data.

The SAARC nations should adopt effective policy measures that would substantially enlarge and diversify their economic base, improve local skills and build up a stock of human capital recourses capabilities, enhance economic stability and liberalise their market in order to attract as well as benefit from long‐term FDI inflows.

This paper would be immensely helpful to the policy makers of SAARC countries to plan their FDI policies in a way that would enhance growth and development of their respective economies.

The increasing importance of health food sales and the growing number of consumers purchasing health foods necessitates that marketers develop enhanced understanding of health food consumers. The purpose of this paper is to provide a theoretical extension to the health belief model (HBM) that integrates personal stress and environmental cues (visible health problems) with its constructs.

Data were collected through a quantitative face-to-face survey of 384 health food consumers in Taiwan, and structural equation modelling was used to analyse the data.

The results show that the perceived benefits and barriers of health foods are critical antecedents of continued-consumption intention. Personal stress and visible health problems substantially influence consumers’ perceived susceptibility to and severity of health problems, and perceived susceptibility consequently leads to consumer continued consumption. However, the results indicate an irrelevant relationship between perceived severity of health problems and continued-consumption intentions.

Based on the HBM, the authors integrated perceived stress and visible health problems into the health food consumer research. The findings can improve the understanding of managers in the health food market regarding the role that stress and visibility play in consumer decisions.

The volatile nature of foreign portfolio flows, especially flows into debt market, has large implications on financial and macroeconomic stability in recipient countries. It is necessary to identify the main drivers of portfolio investments in bond market of developing economies to design effective policies to enhance resilience of the economy and help in managing capital flow volatility. The determinants of foreign portfolio investment to Indian equity market have been examined in literature, but flows to bond market remain unexplored. Thus, the purpose of this paper is to identify the possible determinants of foreign portfolio flows to Indian bond market both in the short and in the long run.

This study carries out a time series analysis by deploying autoregressive distributed lag (ARDL) approach to cointegration of monthly data of the period from January 2002 to December 2016 for the Indian economy. A mix of pull and push factors has been analysed in this study. Domestic growth, domestic stock market performance, interest rate differential, exchange rate, volatility in exchange rate, stock market returns in other emerging economies, foreign output growth and dummy variables to trace the external developments such as global financial crisis and unconventional monetary policies of advanced economies have been used as explanatory variables.

The dominant pull factor such as interest rate differential explains the dynamics of flows in Indian bond market. The relationship between capital movements and interest rate differentials is the most accepted paradigm in international finance (Haynes, 1988). Among other domestic factors are stock market performance, volatility in exchange rates and domestic growth rates which are found to be significant drivers of foreign portfolio bond flows to India. The study also confirmed that global conditions could induce a fast outflow of capital from India.

The study concludes that both domestic factors and external factors are equally important in determining the foreign portfolio investments in the Indian debt market.

The empirical analysis conducted in this study suggests that direct and indirect measures can be taken to increase and stabilise foreign investments in the Indian bond market. Direct policy measures refer to those tools which are under the ambit of policymakers. Indirect measures comprise those tools that are not under the direct control of the fiscal and monetary authorities but require coordinated efforts of the government and private sector. In this context, strengthening of not only financial and economic but also administrative institutions will be necessary. Creditworthiness and policy credibility should be improved to address erratic foreign portfolio investment in debt market of India.

This study is an original research study. This study adds to the existing literature and is expected to guide policymakers on the specific aspect of the management of capital flows as it gets affected by changes in monetary and fiscal policies.

People are increasingly concerned about food and health and are seeking enriched products. One way to add nutritional value to yogurt consists of the addition of nutritional flour. However, it is necessary to optimize formulations that meet the consumers’ expectations. Thus, the purpose of this paper is to aim at sensory optimization of a strawberry yogurt enriched with different flours.

The optimal concentrations of each flour were defined using the Just-about-right-scale test. Then, an acceptance test was used to assess the samples at optimal concentrations.

It was observed that the strawberry yogurt should include 1.275 percent golden flaxseed flour, 1.093 percent green banana flour, 1.075 percent eggplant flour and 3.420 percent oatmeal flour. All formulations had good acceptability and the yogurt added with the addition of golden flax flour and the traditional product received similar sensory acceptance. Thus, it is possible to add nutritional value to strawberry yogurt by maintaining its sensory quality.

More detailed studies on the shelf-life of yogurt are necessary to enable the incorporation of flours into yogurt as heat, light and oxygen can reduce the beneficial effects of flours. Therefore, researchers should test the proposed propositions further.

Optimization of an enriched yogurt is a good alternative to provide a product that meets consumers’ expectations, besides adding value to the product. However, there are technological challenges when adding functional components in foods. Thus, this study aimed at sensory optimization of a strawberry yogurt enriched with different flours.

The authors aimed to provide a healthy product to the market as well as contribute toward product variety in the market.

There are few studies in respect to the sensory aspects of enriched yogurts. Therefore, this work will aid future studies, supporting the optimization of functional products and contributing toward product variety in the market.

This study aimed to determine mothers' knowledge of children with congenital heart disease (CHD) and to examine the relationship between types of CHD, the duration of treatments, the perception of the severity of illness and the mothers' knowledge.

A correlation study was conducted among 84 mothers of children (from infancy to six years old) with CHD who had attended pediatric cardiology clinics and pediatric units in three tertiary hospitals in Bangkok, Thailand. The two questionnaires aimed to evaluate the mothers' knowledge and perceptions of the severity of illness. Descriptive statistics, Spearman's rank-order correlation and Fisher's exact test were used to analyze the data.

Knowledge levels of mothers of children with CHD were at a high level with a mean score of 34.79 (SD = 8.23), but the knowledge domain of preventing complications was at a low level with a mean score of 14.95 (SD = 5.28). The types of CHD and the perceptions of illness were not correlated with the mothers' knowledge, but the duration of treatments was significantly correlated (r = 0.271, p < 0.05).

Healthcare professionals, especially nurses, should emphasize proper health education on complication prevention and the duration of treatments for children. Moreover, mothers should be supported to nurture children with CHD to reduce possible complications and prepare for cardiac surgery where needed.

The purpose of this paper is to examine the impact of real effective exchange rates (REER), both in terms of levels and volatility, on the export performance of India’s sub-national economies, given the recent slowdown in India’s exports.

India’s export distribution is highly asymmetric, with 90 percent of India’s exports concentrated in 11 sub-national economies. Exploiting this concentration, this paper constructs a panel data set using available data between 2002 and 2014 to understand the relationship between REER and exports from the top exporting cluster. Moreover, the paper constructs a sub-national competitiveness index to capture the supply capacity of the states.

The empirical findings of this paper reveal that a higher REER volatility deters exports and movements in REER do not matter as much as volatility. The most significant finding of the paper is that state competitiveness is the most crucial factor affecting trade. Therefore, policy makers at the state level must lay more emphasis on the supply side such as addressing logistical bottlenecks to help revive exports growth.

This study makes a departure from the plethora of extant aggregate-level studies by examining the relationship between REER and exports at the sub-national level for India. Considering the highly skewed distribution of India’s exports, the study provides important insights into the exporting patterns and determinants that are at play at the sub-national level.