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Developing countries like India, accounts for about 40 percent of undernourished children in the World and it is largely due to the result of dietary inadequacy in relation to their needs. The purpose of this paper was to evaluate the changes in the nutritional status of the children, from their preschool days to the present primary school days.

The present investigation was conducted at 20 Integrated Child Development Service (ICDS) centers (Center-A) and 15 primary schools (Center-B) in Bali Gram Panchayat, Arambag, Hooghly District of West Bengal, India, at an interval of three to four years. A total of 1,012 children (boys=498; girls=514) aged two to six years old enrolled in these ICDS centers and a total of 603 children (boys=300, girls=303), aged five to ten years were studied from the 15 primary schools who were the beneficiaries of ICDS centers. Underweight (weight-for-age Z-score (WAZ)) and wasting (weight-for height Z-score (WHZ)) were used to assess the nutritional status.

The nutritional situation (both in case of underweight and wasting) was better in Center B as compared with Center A. In general, the nutritional condition of boys was better than girls. Center had a very significant effect on both WAZ as well as WHZ, irrespective of age and sex. Sex has a significant impact only on WAZ. Interestingly, there was no significant sex-center interaction for both WAZ as well as WHZ. The children of the area were getting Mid Day Meal supplied through the school authorities which was comparatively better than the ICDS centers’ food supplementation. Better monitoring of nutritional supplementation at primary schools may be an important factor.

In ICDS centers, only the Anganwari worker is responsible in running and implementing the programs offered by the Government. However, at primary schools, the active involvement of all the teachers to run the program may have effectively led to have better results. Furthermore, the Government's focus should not be only on the increase the area covered by the ICDS program, but focus should be to increase the quality of food supplied, proper monitoring of the implementation and increase the allocation of funds. Appropriate measures may be taken by the authorities regarding this.

The results of the study will help in policy making in reducing the prevalence of undernutrition.

Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.

The research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.

The results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.

The proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.

The basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.

The originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.

The prime objective of this paper is to design a green supply chain management (GSCM) framework to evaluate the performance of environmental-conscious suppliers using multi-criteria decision-making (MCDM) approach.

The literature survey reveals critical factors for implementing GSCM, adopted methodologies and the result obtained by several researchers. Data have been collected by conducting surveys and interviews with strategic-level personnel of five esteemed organizations in automobile manufacturing sectors. A GSCM framework is developed in which a mathematical tool entropy–the technique for order of preference by similarity to ideal solution (TOPSIS) has been used to analyze the six parameters of automobile manufacturing unit. Initially, entropy is used to find the weights of each of the parameters that influence the decision matrix of the TOPSIS method. Secondly, the proposed GSCM framework ranks the supplier. Finally, sensitivity analysis of the model satisfies the GSCM framework and benchmarked the supplier.

The result shows that “Total CO₂ emission” has an influential role for GSCM sustainability, and hence, firms should put more effort to reduce emissions to improve overall performance. Again, the parameters like investment in R&D and total waste generation may be ignored in the selection process. The result reveals the benchmarked supplier and its strategies for effective sourcing, which would have an indirect effect on organizations' overall sustainability.

This research entirely focuses on sustainability within supply chain considering economic, social and environmental paradigms. The mathematical modeling of the proposed work considers many influential parameters and provides an easy and comprehensive decision-making technique.

The methods may be adopted by the industries for sustainable supply chain management. This study benchmarks the supplier organizations and explores the adopted policies by benchmarked organizations. Other organizations should follow the policies followed by benchmarked organization for enhancing environmental, social and economic performance. Organizations striving for sustainable development can adopt this framework for evaluation of supplier performance and benchmark with better accuracy.

The design of the GSCM framework explores both the qualitative and quantitative data based on environmental, social and economic parameters simultaneously in the evaluation of environmentally conscious suppliers. The research also investigates the constraints of the system to implement the GSCM in automobile manufacturing unit. Additionally, the sensitivity analysis justifies the benchmarked supplier and the adopted strategies to be followed by other manufacturing unit.

The purpose of this paper is to study the characteristics of flexible, agile and lean supply chains and establish, by factor analysis, that outsourcing can be a key intervention achieving the triple objective of flexibility, agility and leanness.

The paper is a blend of theoretical framework and practical application and employs structural analysis to draw an interventional roadmap to facilitate value chain outsourcing.

The paper finds that by outsourcing activities processes, organizations can deliver better value to the customer.

The paper is of value in identifying the variables for effective value chain outsourcing.

Enterprise resource planning (ERP) is intended to integrate all facets of a company’s business operations encompassing production planning, material purchasing, inventory control, logistics, accounting, finance, marketing, and human resource management by creating a single depository of the database that can be shared by the entire organization and its trading partners. Through an empirical study, the purpose of this paper is to identify a multitude of drivers that facilitate or hinder the implementation of ERP in business environments. Also, this paper determines its role in supply chain operations and assesses its impact on supply chain performances.

To examine which factors drive the ERP adoption and gauge the level of the ERP success, the authors develop a research framework based on two well-known theories in the strategy literature: a contingency theory; and a resource-based view of the firm. This research framework allowed us to develop a series of hypotheses regarding the use of ERP for strategic sourcing. To test hypotheses, the authors carried out the study in three phases: a pre-pilot; a pilot; and a large-scale questionnaire survey. In the pre-pilot phase, the authors generated potential survey items through theory development and a literature review. In the pilot phase, the authors develop a structural equation model along with the identification of valid constructs based on structural interviews and the Q-sort method. At the last stage, the authors conducted a large-scale survey via mail questionnaires primarily targeting the Korean industry comprised of manufacturers and their suppliers and customers.

The firm’s ERP adoption and implementation decision is mainly affected by its internal environment. Defying the conventional wisdom, the firm’s external environment has little influence on its decision to adopt and implement ERP. However, through the mediating role of an internal environment, an external environment still indirectly influences the ERP adoption and ERP implementation decision. Also, the authors found that ERP could enhance the ERP adopter’s organizational capability and supplier capability.

This study is one of a few attempts to investigate the role of ERP in the supply chain and identify important determinants influencing the ERP adoption and implementation decisions. Especially, in contrast with the previous literature which often gauged the benefits of ERP from an ERP adopter’s standpoint, this paper is one of the few to assess the benefits of ERP from the ERP adopter’s supply chain partners standpoints. Also, it is one of the first to assess the impact of ERP on supplier capability, organizational capability, and customer value.