Institution
Indian Institute of Management Calcutta
Education•Kolkata, India•
About: Indian Institute of Management Calcutta is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Supply chain & Context (language use). The organization has 415 authors who have published 1354 publications receiving 21725 citations. The organization is also known as: IIMC & IIM Calcutta.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors examine how meritocracy as a collective social imaginary promoting social justice and fairness reproduces class and caste inequalities and fosters ethical violence, where individuals invoke an ethical principle as grounds for moral condemnation and linguistic injuries.
Abstract: This study examines how meritocracy as a collective social imaginary promoting social justice and fairness reproduces class and caste inequalities and fosters ethical violence. We interrogate discourse of merit in the narratives of the professional–managerial class-in-making at an Indian business school. Empirically, we draw on interviews, full-text responses to a qualitative questionnaire, and a student’s poem. We describe how business school students articulate merit as a neoliberal ethic, emphasizing prudential, enterprising attitudes, and responsibility. However, this positive, aspirational facade of merit masks practices of ethical violence, wherein individuals invoke an ethical principle as grounds for moral condemnation and linguistic injuries. These practices of ethical violence desubjectify disadvantaged students and result in silence as a form of inequality. We contribute to organizational research on inequalities by foregrounding ethical violence and desubjectification. We detail the possibilities of discursive agency in contesting and interrupting ethical violence.
5 citations
01 Jan 2007
5 citations
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TL;DR: In this article, the authors examined automobile dependence within the city of Abu Dhabi, the capital of the United Arab Emirates (UAE), and found significant attachment to cars, and a combination of social, cultural, and demography factors.
5 citations
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TL;DR: In this article, a general method for obtaining highly efficient factorial designs of relatively small sizes is developed for cDNA microarray experiments, which allows the main effects and interactions of successive orders to be of possibly unequal importance.
Abstract: A general method for obtaining highly efficient factorial designs of relatively small sizes is developed for cDNA microarray experiments. The method allows the main effects and interactions of successive orders to be of possibly unequal importance. First, the approximate theory is em-ployed to get an optimal design measure which is then discretized. It is, however, observed that a naive discretization may fail to yield an exact design of the stipulated size and, even when it yields such an exact design, there is often scope for improvement in efficiency. To address these issues, we propose a step-up/down procedure which is seen to work very well. The resulting highly efficient designs are found to remain almost free from possible dye-color effects under a suitable dye-color assignment. They are also seen to be quite robust to heteroscedasticity as may be caused by biological variability. We focus on the baseline and all-to-next parametrizations but our method works equally well also for hybrids of the two and other parametrizations.
5 citations
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TL;DR: In this paper, the authors take into account the amount of pollutants emitted, in addition to the classic input and output parameters in DEA, in each of the stages to measure the environmental efficiency of the overall system and decompose it into stagelevel environmental efficiencies.
5 citations
Authors
Showing all 426 results
Name | H-index | Papers | Citations |
---|---|---|---|
Russell W. Belk | 76 | 351 | 39909 |
Vishal Gupta | 47 | 387 | 9974 |
Sankaran Venkataraman | 32 | 75 | 19911 |
Subrata Mitra | 32 | 219 | 3332 |
Eiji Oki | 32 | 588 | 5995 |
Indranil Bose | 30 | 97 | 3629 |
Pradip K. Srimani | 30 | 268 | 2889 |
Rahul Mukerjee | 30 | 206 | 3507 |
Ruby Roy Dholakia | 29 | 102 | 5158 |
Per Skålén | 25 | 57 | 2763 |
Somprakash Bandyopadhyay | 23 | 111 | 1764 |
Debashis Saha | 22 | 181 | 2615 |
Haritha Saranga | 19 | 42 | 1523 |
Janat Shah | 19 | 52 | 1767 |
Rohit Varman | 18 | 46 | 1387 |