Chaudhuri S.,Indian Institute of Management Calcutta
International Journal of Technology and Globalisation | Year: 2010
The world pharmaceutical industry dominated by multinational corporations has neglected research for drugs for diseases of poor countries. Introduction of stronger patent protection in India after World Trade Organization's TRIPS agreement has failed to rectify this deficiency despite the substantial increase in R&D activity. In the light of the experience of the Indian private sector and the public-private partnerships initiated in India for the development of new drugs, the paper explores some policy options and suggests the expansion of public-private partnerships to include organisations from other innovative developing countries such as Brazil and China. Copyright © 2010 Inderscience Enterprises Ltd.
Jayaram J.,University of South Carolina |
Avittathur B.,Indian Institute of Management Calcutta
International Journal of Production Economics | Year: 2015
We use grounded theory arguments and field data to support a model that links environmental government policies to customer actions and firm sustainability strategies. A firms sustainability strategy in turn influences the design and deployment of green supply chain management strategies. Specifically, green design, product recovery and reverse logistics were found to be key facets of green supply chain management strategies. Our focus on the emerging economy of India and the unique insights of this qualitative Delphi study that relies on grounded theory makes key contributions to theory building and managerial practice in the area of sustainable supply chain management. © 2014 Elsevier B.V. All rights reserved. All rights reserved.
Farquad M.A.H.,University of Hong Kong |
Bose I.,Indian Institute of Management Calcutta
Decision Support Systems | Year: 2012
This paper deals with the application of support vector machine (SVM) to deal with the class imbalance problem. The objective of this paper is to examine the feasibility and efficiency of SVM as a preprocessor. Our study analyzes different classification algorithms that are employed to predict the customers with caravan car policy based on his/her sociodemographic data and history of product ownership. A series of experiments was conducted to test various computational intelligence techniques viz., Multilayer Perceptron (MLP), Logistic Regression (LR), and Random Forest (RF). Various standard balancing techniques such as under-sampling, over-sampling and Synthetic Minority Over-sampling TEchnique (SMOTE) are also employed. Subsequently, a strategy of data balancing for handling imbalanced distribution in data is proposed. The proposed approach first employs SVM as a preprocessor and the actual target values of training data are then replaced by the predictions of trained SVM. Later, this modified training data is used to train techniques such as MLP, LR, and RF. Based on the measure of sensitivity, it is observed that the proposed approach not only balances the data effectively but also provides more number of instances for minority class, which in turn enhances the performance of the intelligence techniques. © 2012 Elsevier B.V. All rights reserved.
Mukerjee R.,Indian Institute of Management Calcutta |
Tang B.,Simon Fraser University
Biometrika | Year: 2012
Two-level fractional factorial designs are considered under a baseline parameterization. The criterion of minimum aberration is formulated in this context and optimal designs under this criterion are investigated. The underlying theory and the concept of isomorphism turn out to be significantly different from their counterparts under orthogonal parameterization, and this is reflected in the optimal designs obtained. © 2011 Biometrika Trust.
Cai S.,Xiamen University |
Chen X.,Zhejiang University |
Bose I.,Indian Institute of Management Calcutta
International Journal of Production Economics | Year: 2013
Recently, the role of information technology (IT) for energy and environmental sustainability has received wide attention from both academics and practitioners because IT plays a crucial role in the energy consumption and environmental related issues. This study explores the role of IT for energy and environmental sustainability in China by proposing a research model based on the political-economic framework. Drawing upon the stakeholder theory, we identify public concerns and regulatory forces as key political factors, and cost reduction and differentiation as key economic factors that affect the adoption of green IT and IT for green. The survey method is employed to test our model and hypotheses and PLS is chosen for data analysis. Our results reveal that economic factors, including cost reduction and differentiation are critical in influencing Chinese companies to adopt IT for environmental sustainability strategy. Our research suggests that the role of IT for environmental sustainability may go beyond cost reduction and contribute to competitive advantage for the firms. With the proper use of IT and IT related systems and equipments, a firm can improve its competitiveness while continuing to be environmentally friendly. © 2013 Elsevier B.V.