Evaluating the human resource related soft dimensions in green supply chain management implementation

Because of increased carbon emissions, environmental protection initiatives have gained significant attention at global level. One of the major initiatives taken by the industrial sector to minimize the negative environmental effect of the value chain activities is Green Supply Chain Management (GSCM). In industry, soft (human resource-related) dimensions influence the implementation of GSCM process greatly. In the literature, relatively less discussion is provided on assessing the significance of soft dimensions in efficient GSCM acceptance in industry. The present work is an attempt to construct a structural framework for assessing the significance of the soft dimensions in adopting GSCM concepts by taking a case of automotive company in India. A hybrid approach of Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach is employed in this work. BWM is used to prioritize the GSCM oriented soft dimensions, and DEMATEL is employed to extract interrelationships among them. The result shows that ‘Top management commitment’, ‘Employee involvement’, ‘Organizational culture’ and ‘Teamwork’ are the highly prioritized causal soft dimensions in efficient GSCM adoption. This research work would help industry managers and practitioners to decide where to concentrate for GSCM concepts in context of soft dimensions for sustainable business development.     

The French Nonprofit Sector: A Literature Review

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

How does family health care use respond to economic shocks? realized and anticipated effects

Review of Economics of the Household - Using two-year panel data from the Medical Expenditure Panel Survey (MEPS) for 2004 to 2012, we examine how the intra-family allocation of health care...     

ANALYZING THE IMPACT OF THE WORLD'S LARGEST PUBLIC WORKS PROJECT ON CRIME

India started the implementation of a rural public works program in 2006, covering all districts of the country within 3 years. The program guarantees 100 days of employment per year at minimum wage to each rural household, with the goal of reducing joblessness and poverty. We exploit the design and implementation of this program to investigate its employment impact on various types of crimes to provide rare evidence on the employment–crime relationship in a developing country context. We find that employment generated by the program has a negative impact on both property crime and violent crime. The same conclusion is reached when we analyze the impact of the program using its staggered rollout structure as the source of identification in a difference-in-difference analysis. Although crime elasticities with respect to employment are small, this finding represents another dimension of the social benefit generated by the program. (JEL K4, E24, H54)     

The inherent tensions within sustainable supply chains: a case study from Bangladesh

Abstract

The complexities surrounding the supply chain logistics for perishable commodities within Bangladesh are extensive. Poor infrastructure, fragmented transportation and corruption compound the operational complexities within this emerging market. This case study analyses many of the day-to-day operational challenges and tensions inherent within Micro-Small-Medium Enterprises (MSMEs) forming the backbone of the Bangladesh socio-economic structure. The drive for transition toward greater levels of sustainability and corporate responsibility is problematic, affecting many levels within an extended and fragmented supply chain. The selected case study highlights the ‘lived in’ geographical, environmental, economic and cultural factors that impact the ability of emerging market enterprises to remain profitable within emergency scenarios whilst transitioning toward a more sustainable model. This study, whilst detailing many of the tensions and critical issues facing MSMEs, highlights the benefits of direct Government intervention, criticality of a leaner and more efficient supply chain and reassessment of financial incentives to drive the transition to a more efficient and sustainable economy.     

Presidential Direct Action and Policy Continuity: The Case of U.S. International Population Policy*

Objectives. The purpose of this study is to describe and analyze the modern practice of unilateral presidential policy making in the area of U.S. international population policy. The analysis focuses on the implications of this practice in a constitutional system intended to limit and constrain direct presidential action in policy making. Methods. The authors conduct their analysis using a variety of qualitative sources, including leading studies on the topics of presidential direct action and U.S. international population policy, and government documents. Conclusions. Policy development in this area has been marked by dramatic back‐and‐forth shifts due to the modern practice of presidents making many decisions without legislative involvement. Although not the only policy area in which this practice has become the norm, the case study of U.S. international population policy reveals the pitfalls of deviating from the constitutional design of a system of balanced and constrained powers.     

3-Decade Trend in Human Development Index in India and Its Major States

Social Indicators Research -     

Application of Multivariate Analysis to Increase the Yield of Dry Cell Batteries

In an organization, the manufacturing process of a dry cell battery was suffering from the problem of frequent stoppages in the assembly line. The complete battery manufacturing operation is highly automated and mechanized. It was suspected that excessive variation in overall height of bobbin was the major reason for such stoppages. The bobbin, the inside part of a dry cell battery acting as cathode, is formed by the battery extrusion process. A planned experiment was carried out on the extrusion process that identified the setting of extrusion machines and the amount of water content in the cathode mixture as the parameters causing variation in the bobbin characteristics. The problem of frequent stoppages was eliminated when appropriate action was taken on these two parameters. Finally, multivariate and univariate control schemes were developed for online control of the bobbin characteristics.     

Union–intersection principle and constrained statistical inference

Most statistical models arising in real life applications as well as in interdisciplinary research are complex in their designs, sampling plans, and associated probability laws, which in turn are often constrained by inequality, order, functional, shape or other restraints. Optimality of conventional likelihood ratio based statistical inference may not be tenable here, although the use of restricted or quasi-likelihood has spurred in such environments. S.N. Roy's ingenious union–intersection principle provides an alternative avenue, often having some computational advantages, increased scope of adaptability, and flexibility beyond conventional likelihood paradigms. This scenario is appraised here with some illustrative examples, and with some interesting problems of inference on stochastic ordering (dominance) in parametric as well as beyond parametric setups.