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3549 items in total found

Journal Articles | 2017

Case-Optimal Movement Plan of rice in the state of Andhra Pradesh in India

Sundaravalli Narayanaswami and N. Ravichandran

Informs Transactions on Education

The case discusses an optimal movement plan for food grains (rice) by a state sponsored agency, the Food Corporation of India (FCI) in the State of Andhra Pradesh in India. There are five resource locations and eleven demand locations in this distribution network. Resource capacity and demand requirement for the three product (rice) variants at each location are known. There is no storage capacity restriction either in the demand or source location. Information related to rail network, its connectivity, distance in kilometers between origin-destination pairs, cost of transportation per tonne of food grain by rail or road are known. The primary issue is to develop a monthly movement plan to minimize the overall transportation costs subject to meeting the demand-supply restrictions. The total supply available for distribution and the total requirement at various locations are both equal at the product variant and aggregate level. The secondary issue is to develop an alternative movement plan to fulfil the demand requirements at a location, Karimnagar, which does not have a direct rail connection. Few plans are proposed to resolve the issues; the case encourages analysis of the problem situation and evaluation of the alternate resolution plans.

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Journal Articles | 2017

Size, value, and momentum in Indian Equities

Sobhesh Kumar Agarwalla, Joshy Jacob, and Jayanth Varma

Vikalpa

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Journal Articles | 2017

Does strategic planning determine innovation in organizations? A study of Indian SME sector

Safal Batra, Sunil Sharma, Mukund M. Dixit, and Neharika Vohra

Australian Journal of Management

While some researchers argue that strategic planning assists new product development and can be viewed as a framework for innovation, others believe that it restricts creativity and innovation. Despite a literary appreciation that strategic planning is linked to innovation, the nature of this relationship remains ambiguous. In this study, we argue that this relationship is context dependent and contingent on other organizational factors. Data for this study were collected by administering standardized survey questionnaires to entrepreneurs or other senior executives of small and medium businesses in India. Quantitative analysis of data obtained from 162 small- and medium-sized enterprises (SMEs) in the manufacturing sector reveals a positive relationship between strategic planning and innovation. This study also establishes a significant positive moderating role of commitment to learning on the relationship between strategic planning and innovation. Implications for theory and practice are discussed.

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Journal Articles | 2017

Two-stage test of means of unordered pairs

Tathagata Banerjee Gaurangadeb Chattopadhyay and Kaustav Banerjee

Statistics in Medicine

The problem of testing equality of means of a bivariate normal distribution on the basis of a sample of size n has been considered when the labels of the observations are either missing or not known. The problem may arise in many applied settings, especially in genetics. Classical likelihood ratio test fails here because of identifiability problems. We propose a two-stage testing procedure using a recently developed test in the context of penalized splines. The proposed testing procedure is found to outperform the tests proposed in the literature. Copyright © 2017 John Wiley & Sons, Ltd.

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Journal Articles | 2017

Measurement error in astronomy

Tathagata Banerjee and Surupa Roy

Wiley Stats Ref: Statistics Reference Online

Measurement error is ubiquitous in astronomy. In the astronomical literature, discussion on measurement error problems is almost entirely confined to linear regression. We introduce a linear regression measurement error model (LRMM) highlighting the distinguishing features of the model and the data that typically arise in astronomy. Standard methods, proposed in the statistics literature for tackling measurement error problems in regression analysis, are not useful for the analysis of astronomical data. We briefly discuss the methods, and their appropriateness, commonly used by the astronomers for analysis of data using LRMM. A short discussion, on their relative performances based on the available numerical studies, is given. We conclude with some remarks on data characteristics typical to astronomical data and on an emerging measurement error problem in astronomy.

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Journal Articles | 2017

Effects of non-conformity on perceived status and competence: Examining the moderating role of physical attractiveness

Biswajida Parida and Vishal Gupta

Psychological Studies

The present study attempts to examine how people perceive non-conforming behaviour and what do they infer about subjects who demonstrate non-conformity. Interviews were conducted to determine the operational definition and perception about non-conformity. Analysis of the interviews revealed that non-conformity is attributed to not abiding by the rules that have been defined or laid out by an authority in a particular context. Scenario-based experiments were conducted, and the obtained data were analysed to reach a conclusion regarding observers’ perception about non-conforming individuals in a collectivist culture. The results showed that non-conforming behaviour leads to a negative inference about status and competence. Also, we found that the attractiveness of non-conforming individuals does not lessen the negative inferences derived by the observers in a collectivist culture. The findings can be extended to devise several communication and signalling strategies to influence the mass behaviour in a collectivist culture, like India. The study provides us insights about achieving social objectives as well as driving behavioural change in a collectivist context.

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Journal Articles | 2017

The relationships between leadership, work engagement and employee innovative performance: empirical evidence from the Indian R&D context

Vishal Gupta, Shailendra Singh, and Abhijit Bhattacharya

International Journal of Innovation Management

Integrating the behavioural theory of leadership with job demands–resources theory of engagement, the present study examines the process through which leadership impact R&D professionals’ innovative work behaviours and innovative performance (measured through peer-reviewed journal papers, patents, PhDs guided and keynote addresses delivered). Data from 467 scientists working in India’s largest civilian R&D organisation were collected and analysed using structural equation modelling. The study found that work engagement was positively related to innovative work behaviours as well as innovative performance. Leader behaviours had significant indirect effects on innovative work behaviours as well as innovative performance via work engagement. While the total effect of leadership on innovative work behaviours, the total effect was non-significant for innovative performance. Implications for theory and practice are discussed.

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Journal Articles | 2017

Competition and Intellectual Property Policies in the Indian pharmaceutical sector

Shamim S. Mondal and Viswanath Pingali

Vikalpa

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Journal Articles | 2017

A novel sandwich algorithm for empirical Bayes analysis of rank data

Arnab Kumar Laha, Somak Dutta, and Vivekananda Roy

Statistics and its interface

Rank data arises frequently in marketing, finance, organizational behavior, and psychology. Most analysis of rank data reported in the literature assumes the presence of one or more variables (sometimes latent) based on whose values the items are ranked. In this paper we analyze rank data using a purely probabilistic model where the observed ranks are assumed to be perturbed versions of the true rank and each perturbation has a specific probability of occurring. We consider the general case when covariate information is present and has an impact on the rankings. An empirical Bayes approach is taken for estimating the model parameters. The Gibbs sampler is shown to converge very slowly to the target posterior distribution and we show that some of the widely used empirical convergence diagnostic tools may fail to detect this lack of convergence. We propose a novel, fast mixing sandwich algorithm for exploring the posterior distribution. An EM algorithm based on Markov chain Monte Carlo (MCMC) sampling is developed for estimating prior hyperparameters. A real life rank data set is analyzed using the methods developed in the paper. The results obtained indicate the usefulness of these methods in analyzing rank data with covariate information.

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Journal Articles | 2017

Approximated set-valued mapping approach for handling multiobjective bilevel problems

Ankur Sinha, Pekka Malo, and Kalyanmoy Deb

Computers & Operations Research

A significant amount of research has been done on bilevel optimization problems both in the realm of classical and evolutionary optimization. However, the multiobjective extensions of bilevel programming have received relatively little attention from researchers in both the domains. The existing algorithms are mostly brute-force nested strategies, and therefore computationally demanding. In this paper, we develop insights into multiobjective bilevel optimization through theoretical progress made in the direction of parametric multiobjective programming. We introduce an approximated set-valued mapping procedure that would be helpful in the development of efficient evolutionary approaches for solving these problems. The utility of the procedure has been emphasized by incorporating it in a hierarchical evolutionary framework and assessing the improvements. Test problems with varying levels of complexity have been used in the experiments.

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