Institution
Indian Institute of Management Ahmedabad
Education•Ahmedabad, India•
About: Indian Institute of Management Ahmedabad is a education organization based out in Ahmedabad, India. It is known for research contribution in the topics: Context (language use) & Emerging markets. The organization has 1828 authors who have published 4011 publications receiving 59269 citations. The organization is also known as: IIMA & IIM Ahmedabad.
Papers published on a yearly basis
Papers
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01 Jan 2004TL;DR: In order to survive and prosper, organizations in the Third World need to redesign themselves for corporate creativity as mentioned in this paper, i.e., to create new products and services for their customers.
Abstract: Globalization has created immense competitive pressures on corporates. In order to survive and prosper, organizations in the Third World need to redesign themselves for corporate creativity, i.e., ...
39 citations
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TL;DR: Through implementation on a number of real-life data sets, it has been demonstrated that the proposed generalized quadratic discriminant analysis (GQDA) compares very favourably with other nonparametric methods, and is computationally cost-effective.
39 citations
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TL;DR: This work considers the class of Depth First Search algorithms, and proposes to use upper tolerances to guide the search for optimal solutions, and shows that in most situations tolerance- based algorithms outperform cost-based algorithms.
39 citations
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TL;DR: In this paper, the authors describe two variants of the Indian MARKAL model: a long-term technology oriented optimisation model for energy-environment planning for India, and an innovative approach to simulate price sensitive demands within a linear formulation.
Abstract: This paper describes two variants of the Indian MARKAL model: a long-term technology oriented optimisation model for energy-environment planning for India. The first variant uses stochastic programming to include future uncertainties in the analysis. Details of model formulation, results and sensitivity analysis are described here. The second variant uses an innovative approach to simulate price sensitive demands within a linear formulation. The analysis incorporating future uncertainties suggests that it is prudent to reduce carbon emission in anticipation of a global regime in future. Modelling with price elastic demands estimates up to 10% reduction in carbon emission due to reduced demands, under a severe carbon tax.
39 citations
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TL;DR: Li et al. as mentioned in this paper provided evidence on the use of accounting versus stock market performance measures as determinants of Chinese top managers' compensation over 2001-2007 and found that accounting returns are weighted more heavily in general than stock returns in determining top executive compensation.
Abstract: We provide evidence on the use of accounting versus stock market performance measures as determinants of Chinese top managers’ compensation over 2001–2007. We theorize and find that (1) accounting returns are weighted more heavily in general than stock returns in determining top executive compensation, (2) state-owned enterprises (SOEs) rely significantly less on stock market returns than do non-SOEs, (3) firms located in high marketization regions rely more heavily on stock market returns to reward managers, and (4) firms with better internal governance quality rely more on stock returns to reward executives. We discuss our findings with particular reference to the Chinese context of our research.
39 citations
Authors
Showing all 1868 results
Name | H-index | Papers | Citations |
---|---|---|---|
Kanti V. Mardia | 54 | 235 | 20393 |
Mousumi Banerjee | 53 | 193 | 11141 |
Marti G. Subrahmanyam | 52 | 202 | 7641 |
Vishal Gupta | 47 | 387 | 9974 |
Anil K. Gupta | 41 | 175 | 17828 |
Priyadarshi R. Shukla | 39 | 136 | 9749 |
Asha George | 35 | 156 | 4227 |
Ashish Garg | 34 | 246 | 4172 |
Justin Paul | 31 | 119 | 4082 |
Narendra Singh Raghuwanshi | 31 | 136 | 4298 |
Sumeet Gupta | 31 | 108 | 5614 |
Nitin R. Patel | 31 | 55 | 4573 |
Rahul Mukerjee | 30 | 206 | 3507 |
Chandan Sharma | 30 | 124 | 3330 |
Gita Sen | 30 | 57 | 3550 |