Pairwise Comparisons of Social Development of Selected Countries: 1960–1994: An application of D2-statistics

The paradigm of development has shifted from gross national product to human well-being: from economic growth to social development. It has been broadly accepted that economic growth doesnot automatically translate into a better quality of life. Consequently, the main objective of the most of the countries is to achieve better standard of living for their people. In this context it is of interest to have a look at the pairwise convergence or divergence of countries in social development over a period of time. This study uses D²-statistics to obtain a pairwise distance matrix for the sample countries for each point of time 1960 and 1994. The paper presents a gap matrix portraying the change in the distances between each pair of country over the period. This also finds distance of a country from all other countries. All the analysis has been offered for the entire sample as well as three income groups low, middle and high.     

No-Fault Divorce and the Compression of Marriage Ages

We examine how no-fault divorce law affects the age at first marriage, when everyone has a different value of marriage. The heterogeneity of individual values implies an unambiguous negative effect on the variance of marriage age. We test this hypothesis with marriage records from 1970 to 1995. Controlling for state-level heterogeneity and for time trends, the standard deviation of the log age at first marriage drops by approximately 5% with the introduction of no-fault divorce. We find that the mean age at first marriage increases slightly, suggesting that the mean person is slightly worse off with no-fault divorce. (JEL K0 , D1 )     

Contextual and ideological dimensions of attitudes toward discretionary abortion

This study examines the contextual and ideological dimensions of attitudes toward discretionary abortion using two national surveys. The abortion attitudes are dichotomized in terms of consistent opposition versus consistent support. Discriminant analysis, partial correlations, and stepwise regression procedures are used in the analysis. Findings indicate that education and attendance at religious services are the two most significant contextual dimensions and sexual permissiveness and fertility ideology are the two most significant ideological dimensions for explaining attitudes toward discretionary abortion. Implications of these findings are discussed.     

Improving patients’ satisfaction in a mobile hospital using Lean Six Sigma – a design-thinking intervention

Abstract

Lean Six Sigma (LSS) that offers a unique integration of Lean and Six Sigma has been accepted globally across services sectors. Previous studies that examined the application of LSS in healthcare were steered in traditional hospital settings. Apparently, there are no studies that highlight the application of LSS in mobile hospitals, an emerging trend in the healthcare sector. The aim of this article is to explore the applicability of LSS in a mobile hospital. The authors present a case study of improving patients’ satisfaction in a mobile hospital, through reducing turnaround time. Design-thinking intervention to LSS helped resolve a real-time problem using Define-Measure-Analyze-Design-Verify roadmap. This article contributes to the ‘healthcare quality” body of knowledge and is novel as it is the first of its kind of LSS application in a mobile hospital underpinning Design thinking. This study is unique as it demonstrates academia–industry collaboration in solving an organizational problem.     

Impact of competitive conditions on supplier evaluation: a construction supply chain case study

This research proposes a multi-criteria decision-making (MCDM) framework and demonstrates the impact of competitive conditions on supplier evaluation process for construction supply chains. The paper focuses on the supply chain of a large-scale housing project in order to illustrate the role of competitive capability and suppliers’ profile and its influence on supplier evaluation based on prevailing supply/market conditions. Various scenarios are investigated to demonstrate the impact of competition on supplier evaluation. The contribution of the study lies in highlighting the impact of supply/market conditions on MCDM decisions causing supplier evaluation ‘imbalance’ and MCDM usage. It is expected that the study will be useful for project management, construction, supply chain management, sourcing professionals. The findings of the study are generalisable to projects-based situations such as petroleum refinery and ship building where bill of materials typically consists of thousands of items and a large number of suppliers are involved.     

Hybrid-based confidence intervals for the ratio of two treatment means in the over-dispersed Poisson data

In many clinical trials and epidemiological studies, comparing the mean count response of an exposed group to a control group is often of interest. This type of data is often over-dispersed with respect to Poisson variation, and previous studies usually compared groups using confidence intervals (CIs) of the difference between the two means. However, in some situations, especially when the means are small, interval estimation of the mean ratio (MR) is preferable. Moreover, Cox and Lewis [4 D.R. Cox and P.A.W. Lewis, The Statistical Analysis of Series of Events, Methuen, London, 1966.[Crossref] , [Google Scholar]] pointed out many other situations where the MR is more relevant than the difference of means. In this paper, we consider CI construction for the ratio of means between two treatments for over-dispersed Poisson data. We develop several CIs for the situation by hybridizing two separate CIs for two individual means. Extensive simulations show that all hybrid-based CIs perform reasonably well in terms of coverage. However, the CIs based on the delta method using the logarithmic transformation perform better than other intervals in the sense that they have slightly shorter interval lengths and show better balance of tail errors. These proposed CIs are illustrated with three real data examples.     

Determinants of Income Generation and Financial Performance Through Self-Help Groups

ABSTRACT

This study examines the efficacy of a microcredit-linked self-help group (SHG) program in identifying the problems faced by group members such as income generation and financial performance. To examine this, 120 members in each of three selected blocks in Birbhum District in West Bengal, India, were invited to participate. A multiple regression equation focused on identifying the contributing factors toward explaining SHG income. Results indicated that income generation for all the blocks together was significantly influenced by factors like loan amount, amount of saving, years of existence of SHG, education level of the group leader, and availability of the training facility. However, SHG-wise efficiency scores varied across the blocks that might be related to different sociocultural dimensions. Implications of the analytical findings for future research are discussed at the end of the article.     

Prevalence of job strain among Indian foundry shop floor workers

Global competition in manufacturing sector demand higher productivity levels. In this context, workers in this sector are set with high output targets, leading to job strain. In addition to the strain, hazardous conditions also prevail in some of the manufacturing processes like foundry activities. This paper attempts to appraise the prevalence of job strain among foundry shop floor workers in India with the help of Demands-Control model [8]. In this study, data was collected through a survey using 49-item Job Content Questionnaire (JCQ) [9], a widely used and well-validated test for job strain. Then the data was subjected to statistical analysis after ascertaining the reliability. This survey has revealed that 25% of workers in foundry were experiencing high job strain. Hazardous working conditions, limited decision making authority, etc. appear to be the main contributing factors for the higher levels of strain.