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This paper conducts a meta-analytic review of literature focused on the salient socio-psychological and personality antecedents of luxury purchase intention. It investigates the role of moderators that can assist an effective market segmentation of the luxury market in both emerging and developed economies.

The final analysis includes 95 effect sizes from 42 studies conducted in 15 countries, spanning 5 continents, from 2000 to 2020. The review examined moderating role of Hofstede's cultural dimensions, market type (emerging vs developed) and other study characteristics.

Findings show that socio-psychological antecedents had a more salient role than personality antecedents in driving luxury purchase intention (LPI), across both emerging and developed markets. Normative influence, status consumption and materialism exhibited a stronger influence on LPI in emerging markets than developed markets. Further, stronger effects for normative influence and status consumption on LPI were found in high power distance cultures. The role of seeking uniqueness was more salient and the role of normative influence was less salient in studies with a higher percentage of females. Conspicuous consumption was a stronger driver of LPI for fashion luxury products than other luxury products. The study also proposes distinct definitions of status and conspicuous consumption as there is often theoretical overlap of these constructs in literature.

A meta-analytic review may leave blind-spots due to lack of sufficient number of studies investigating certain theoretically relevant moderators. The authors discuss these gaps, along with study limitations.

To the best of the authors’ knowledge, no previous study has conducted a meta-analytic review of the antecedents and moderators of LPI. With the extension of luxury demand beyond the developed countries in the West to the “new rich” consumers in the East, it becomes imperative to conduct a meta-analysis for a richer understanding of the drivers of luxury demand across different cultural orientations and market segmentations.

The purpose of this paper is to eliminate the medicine stock-out problem by building an optimum medicine stock in rural healthcare centers in India.

Data associated with inflow and outflow of a specific medicine (folic acid tablets) arer collected from all consecutive supply chain stages during the survey. While conducting the survey, it is found that several medicines are out of stock owing to uncertain lead time and demand. Integrating with quantity discount and min–max (s, S) inventory policy, two models are developed using system dynamics: one is Model 1 with constant lead time and uncertain demand, and the other is Model 2 with both uncertain lead time and demand.

Both models are simulated for a period of one year on Stella 9.1 platform. The results are compared with actual data, and the comparison shows significant improvement of the medicine stock at all downstream stages, while maintaining a certain safety stock. Further, Model 2 suggests a larger stock than Model 1 at each point of time.

Despite numerous issues, the stocks of medicine in rural healthcare systems can be improved as suggested by the models. The models depict the behavior of inventory stock at each stage of the supply chain and act as a function of time that could be used in the form of a prediction tool for the policymakers.

This paper is one of the first papers that had developed the model of the medicine supply chain in rural parts of a developing country. It provides a generic framework for the stock assessment and improvement throughout the supply chain.

This paper aims to investigate the obstacles to the sharing of information, as envisaged in the United Nations Convention against Corruption (UNCAC), and therefore, its accessibility to developing countries. The findings of this paper could help States to limit corruption in interstate interactions and civil society groups calling for measures that can help assess potential corruption.

This research is based on qualitative analysis – usual normative analysis was undertaken in law and economics. For this purpose, an analysis of the literature on cooperation generated by the UNCAC and State practice within defence deals was undertaken.

It is found that States where defence manufacturers reside can prevent information sharing and thereby hinder investigations against corruption. It is found that defence importing States can overcome the limitations of the UNCAC, to enforce information sharing, by including guarantees into their contracts.

As research on information sharing practices of States are scarce or non-existent, this paper contributes to the literature on this aspect of cooperation envisaged in the UNCAC. Further, this paper elaborates on what States could do to limit non-cooperation in the sharing of information.

The purpose of this paper is to make an effort in identifying and exploring the factors which may affect the success of ERP implementation in Indian retail sector. This paper also analyses the between the factors and their impact on the successful implementation of ERP using the structured equation modeling (SEM) approach. “Organizational,” “Technological,” “People” and “Project Management” are the examined factors.

A theoretical model is created that explains the factors which may affect the success of ERP implementation. Hypotheses were also developed to evaluate the interrelationship between affecting factors and success of ERP implementation. Empirical data is collected through survey questionnaire from practitioner like project sponsors, project managers, implementation consultants and team members who are involved in ERP implementation in retail sector to test the theoretical model.

Using SEM, it is found that 62.7 percent of the variations of ERP implementation success can be explained with the help of the model suggested in the research study. The finding also confirms that there is significant positive interrelationship between “Organizational,” “Technological,” “People,” “Project Management” and success of ERP implementation in Indian retail sector.

The research is subject to the normal limitations of survey research. The study is using perceptual data provided by project sponsors, project managers, implementation consultants and team members who are involved in ERP implementation in retail sector, which may not provide clear measures of performance. However, this can be overcome using multiple methods to collect data in future studies.

Findings from this paper can provide greater understanding in the area of ERP implementation. This study will provide valuable insights to researchers, practicing managers and those who are planning to implement ERP in retail sector.

The study integrates the affecting factor with success of ERP implementation, i.e. “Organizational,” “Technological,” “People” and “Project Management” are the key drivers for the effectiveness and success of ERP implementation in Indian retail sector. Very few studies have been performed to investigate and understand this issue. Therefore, the research can make a useful contribution.

This study presents an extensive bibliometric analysis aimed at delineating the landscape of research within the insurance literature from 2020 to 2024.

Leveraging methodologies such as keyword cooccurrence analysis, cocitation analysis, and bibliographic coupling, the study identifies pivotal clusters of research topics. The bibliographic data was sourced from Scopus, renowned for its comprehensive coverage across social, engineering, and natural sciences. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, 1,608 documents were initially scrutinized, resulting in a refined dataset of 714 documents. Utilizing VOSviewer for science mapping, the study underscores three predominant categories of analysis: keyword cooccurrence, cocitation, and bibliographic coupling. Employing a dual-pronged approach for keyword selection, the study began by examining five freely accessible publications. Analysis was conducted employing two primary bibliometric techniques: performance analysis, gauging the efficacy of research components, and science mapping, elucidating interdependencies among research entities. Notably, the study utilized VOSviewer and Biblioshiny—a web interface for bibliometrics based on the R programming language—as the principal tools for bibliometric analysis.

This comprehensive investigation sheds light on the thematic evolution and interconnectedness within insurance research, providing valuable insights for scholars, practitioners, and policymakers alike.

Breast cancer (BC) presents a major public health challenge world-over including India. While several risk-factors, early signs and symptoms of BC are known, the knowledge and awareness of this disease remains poor among the population. The present study aimed to determine the extent of knowledge and awareness of BC, its risk factors, early signs and symptoms and breast self-examination (BSE) practice as an early detection method among Indian college-going female students.

The authors conducted a cross-sectional survey at a University in Delhi-NCR. Data on socio-demographic, knowledge and awareness of BC including BSE was collected using a pretested questionnaire. Chi-square test and logistic regression analysis was performed. All tests were two-sided and significance was set at p < 0.05.

A total of 866 female students participated in the study with mean age of 22.32 (±0.146) years having mean body mass index (BMI) of 21.22 (±3.52). As high as 82.1% of the participants had heard of BC but while 74.8% thought early detection is possible, 70.7% believed BC cannot be prevented. Gene mutations (60.2%) were identified as a significant risk factor, while breast pain (61.4%) was commonly recognized as a sign of BC. Only 29.8% of students ever performed BSE. Increased odds of performing BSE (OR = 3.4) was found among students who recognized gene mutations as an important BC risk factor.

Knowledge and awareness of BC including BSE among female college students were found to be below average. It is suggested that there is an urgent need for increasing BC awareness among young girls through workshops and mobile-health interventions.

This study provides new information on the level of knowledge and awareness of BC risk factors, sign and symptoms and self-examination practice among young college girls. Moreover, this study advocates the need for design and implementation of a sustainable digital health model for active population BC screening, which is not being done currently.

BC is a highly aggressive disease, which is now one of the leading causes of morbidity and mortality in India and world over. Although the knowledge of BC risk factors and its signs and symptoms have increased, the awareness of these elements among the general population at large is low and/or missing, especially in India. Furthermore, as a consequence of unorganized screening programs in the country, majority of women are presenting young with locally advanced disease. Understanding the existing level of knowledge and educating school, college and University students of the pertinent factors and screening practices such as BSE could drastically help in improving the self-screening and/or clinical examination rates. This could potentially lead to early detection and improved prognosis, thus ameliorating disease burden.

This study is one of the few studies conducted in India among young female college students belonging to non-medical backgrounds, delineating the level of knowledge and awareness of BC risk factors and signs and symptoms along with practice of early detection method such as BSE. The study has a considerable sample size and provides valuable evidence for a need to implement programs incorporating digital health models for accelerating awareness and screening of young girls in both rural and urban settings.

The purpose of this study is to monitor suspended particulate matter (SPM), PM2.5 and source apportionment study for the identification of possible sources during the year 2018–2019 at Raipur, India.

Source apportionment study was performed using a multivariate receptor model, positive matrix factorization (PMFv5.0) with a view to identify the various possible sources of particulate matter in the area. Back-trajectory analysis was also performed using NOAA-HYSPLIT model to understand the origin and trans-boundary movement of air mass over the sampling location.

Daily average SPM and PM2.5 aerosols mass concentration was found to be 377.19 ± 157.24 µg/m³ and 126.39 ± 37.77 µg/m³ respectively. SPM and PM2.5 mass concentrations showed distinct seasonal cycle; SPM – (Winter ; 377.19 ±157.25 µg/m?) > (Summer; 283.57 ±93.18 µg/m?) > (Monsoon; 33.20 ±16.32 µg/m?) and PM2.5 – (Winter; 126.39±37.77 µg/m³) > (Summer; 75.92±12.28 µg/m³). Source apportionment model (PMF) have been applied and identified five major sources contributing the pollution; steel production and industry (68%), vehicular and re-suspended road dust (10.1%), heavy oil combustion (10.1%), tire wear and brake wear/abrasion (8%) and crustal/Earth crust (3.7%). Industrial activities have been identified as major contributing factor for air quality degradation in the region.

Chemical characterization of aerosols and identification of possible sources will be helpful in abatement of pollution and framing mitigating strategies. It will also help in standardization of global climate model.

The findings provide valuable results to be considered for controlling air pollution in the region.

This study aims to examine the differential impact of ride-hailing services (RHS) on private and commercial vehicle ownership from five metropolitan cities in India.

Using vehicle ownership data from five metropolitan cities over period 1991 to 2020, a panel corrected standard errors model was estimated to model the association between RHS and vehicle ownership.

The results indicate that advent of RHS has led to a significant reduction in private vehicle ownership rates and a corresponding increase in addition of intermediate public transport. The net effects of RHS on road congestion and pollution levels need to be studied in detail.

The findings of this study can potentially assist policymakers and mobility planners in efforts to decarbonise and decongest urban transport.

This study sets precedence in analysing the impact of RHS on private and commercial vehicle independently. Further, to the best of the author’s knowledge, this is the first study to examine this association for the city of Delhi and Kolkata.

To assess the state of supply chain management (SCM) research in India and to understand the research trends and methodologies used. The present study also aims to create a taxonomy of the subject areas researched in India.

The present study employed the systematic literature review methodology. Literature from 395 peer journal papers in 67 leading journals over a 20-year period (2000–2020 Quarter-1) was comprehensively reviewed and assessed.

SCM research in India started around the year 2000. The quantum of research was low (single digit) until 2010. There has been steady growth over the last decade, and over 50% of the total papers up until now has been published in the last four years. The present study created a three-tiered taxonomy of the subject areas and classified the papers as per it. The first tier (level-1) has seven categories (SCM strategy, network design, SCM processes and integration, IT systems, skills, performance measurement and others). A perusal of the newly created taxonomy revealed that, except for a few areas under level-1 categories (such as SCM processes and SCM strategy), the other level-1 categories have not seen much research. Similarly, there is little or no research in a large number of level-2 categories (such as outsourcing strategy, channel strategy, demand management, demand fulfillment, customer relationship management, integrated supply chain planning, new product development, returns, supply chain orientation, performance monitoring, performance improvement, SCM adoption process, SCM implementation issues and quantified benefits of SCM). Methodologically, the rigor of SCM research in India needs improvement.

A comprehensive taxonomy of SCM subject areas researched in India at three cascading levels was created for the first time in the present study. The taxonomy will help provide researchers with a clear understanding of the structure of the subject areas and help in identifying areas where research has been carried out and the subject areas where gaps exist for future research to proceed. The present study also provides an overview of the methodological rigor of SCM research in India and points out some of the limitations that researchers should avoid in future studies.