Technologies for the people: a future in the making

India’s post-independence policy of using science and technology for national development, and investment in research and development infrastructure resulted in success in space, atomic energy, missile development and supercomputing. Use of space technology has impacted directly or indirectly the vast majority of India’s billion plus population. Developments in a number of emerging technologies in recent years hold the promise of impacting the future of ordinary Indians in significant ways, if a proper policy and enabling environment are provided. New telecom technologies—a digital rural exchange and a wireless access system—are beginning to touch the lives of common people. Development of a low-cost handheld computing device, use of hybrid telemedicine systems to extend modern healthcare to the unreached, and other innovative uses of IT at the grassroots also hold promise for the future. Biotechnology too has the potential to deliver cost-effective vaccines and drugs, but the future of GM crops is uncertain due to growing opposition. Some of these emerging technologies hold promise for future, provided a positive policy and enabling environment.     

Organizational Ethics,Individual Ethics,and Ethical Intentions in International Decision-Making

This study explores the impact of both individual ethics (IE) and organizational ethics (OE) on ethical intention (EI). Ethical intention, or the individual’s intention to engage in ethical behavior, is useful as a dependent variable because it relates to behavior which can be an expression of values, but also is influenced by organizational and societal variables. The focus is on EI in international business decision-making, since the international context provides great latitude in making ethical decisions. Results demonstrate that both IE and OE influence EI. Ethical congruence is also discussed as a positive influence. Younger managers are more influenced by OE than older managers. The findings call for creating governance mechanisms to enhance ethical congruence, thereby increasing the likelihood of managers making ethical choices in organizational decision-making.     

Numeraire choice in agricultural supply analysis

Should the choice of numeraire price for modelling profit functions be arbitrary, or is more careful study needed? Here, the choice of numeraire is examined using tests for models specification and out-of-sample predictive accuracy based on the crop and livestock data obtained from Iowa. The results of this study indicate that, for this data set and functional form, it does indeed make a difference which numeraire you choose. This is in contrast to previous studies which, in general, indicated that the choice of numeraire equation is arbitrary or, more commonly, offered no justification for the netput chosen.     

Using spectral analysis and multinomial logit regression to explain households’ choice patterns

Many methods are available to analyze rank-ordered data. We used spectral analysis to identify the most preferred option of Formosan subterranean termites (FSTs) control as ranked by Louisiana homeowners. Respondents were asked to rank four termite control methods from the most preferred option to the least preferred option. Spectral analysis of complete ranked data indicated that the most preferred FST control choice is a relatively cheap ($0.13/square foot) option of a liquid treatment. Similarly, analysis indicated that liquid and bait treatments are the two most desired control choices. Multinomial logit analysis indicated that survey location, household pre-tax income, and knowledge of FSTs determined Louisiana homeowners’ ranking pattern choices.     

Innovations in Retail Pricing and Promotions

Retailers confront a seemingly impossible dual competitive challenge: grow the top line while also preserving their bottom line. Innovations in pricing and promotion provide considerable opportunities to target customers effectively both offline and online. Retailers also have gained enhanced abilities to measure and improve the effectiveness of their promotions. This article synthesizes recent advances in pricing and promotions findings as they pertain to enhanced targeting, new price and promotion models, and improved effectiveness. It also highlights the role of new enabling technologies and suggests important avenues for further research.     

A combined approach using AHP and DEMATEL for evaluating success factors in implementation of green supply chain management in Indian manufacturing industries

The present work aims to evaluate the success factors (SFs) associated with the implementation of green supply chain management (GSCM) from the Indian manufacturing industry perspective. Initially, 24 SFs relevant to GSCM adoption and implementation were identified from the literature and inputs received from relevant experts. Subsequently, a structural model was proposed by means of combining the Analytical Hierarchy Process (AHP) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach to evaluate these SFs at the tactical, operational and strategic levels in GSCM adoption. The AHP method helps in determining the relative importance/priorities of the SFs to GSCM adoption. In addition, the DEMATEL method captures the interactive relationships among the SFs, and analyses them on the basis of causal effect mapping. The model proposed can help industrial managers/practitioners to formulate short-term as well as long-term flexible decision strategies in efficiently managing a green supply chain.     

Assessment of CSR based supply chain performance system using an integrated fuzzy AHP-TOPSIS approach

The objective of this research was to identify Corporate Social Responsibility (CSR) criteria as well as propose and prioritise the alternatives to improve the supply chain performance system of an organisation. To meet the objective, firstly, CSR-based criteria, sub-criteria and alternatives were identified based on the literature review and discussion with the field experts, taken from automobile industries located at the Delhi region of India. Then, kappa statistics has been applied to check the internal consistency between identified criteria and sub-criteria. After finding the evidence of internal consistency, a hierarchical-type model has been developed and analysed using a multi-criteria decision-making as an integrated fuzzy analytical hierarchy process (AHP) and a fuzzy technique for order performance by similarity to the ideal solution (TOPSIS) approach. To make the results more robust and feasible, a sensitivity analysis has also been performed.     

Extended Framework for Modeling Choice Behavior

We review the case against the standard model of rational behavior and discuss the consequences of various anomalies of preference elicitation. A general theoretical framework that attempts to disentangle the various psychological elements in the decision-making process is presented. We then present a rigorous and general methodology to model the theoretical framework, explicitly incorporating psychological factors and their influences on choices. This theme has long been deemed necessary by behavioral researchers, but is often ignored in demand models. The methodology requires the estimation of an integrated multi-equation model consisting of a discrete choice model and the latent variable model system. We conclude with a research agenda to bring the theoretical framework into fruition.