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Institution

Indian Institute of Management Calcutta

EducationKolkata, 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 & Emerging markets. The organization has 415 authors who have published 1354 publications receiving 21725 citations. The organization is also known as: IIMC & IIM Calcutta.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors model "no war, no peace" situations in a game theoretical framework, where two countries are engaged in a standoff over a military sector and show that both countries gain the same payoff from being in this continuous state of perpetual hostility.
Abstract: This paper models ‘no war, no peace’ situations in a game theoretical framework where two countries are engaged in a standoff over a military sector. The first main objective is to identify rational grounds for such situations and, more precisely, for the explicit equilibria that lead to such situations. It is demonstrated that both countries gain the same payoff from being in this continuous state of perpetual hostility and, moreover, that ‘no war, no peace’ situations can be explained only if the countries perceive an equal measure of military advantage from controlling the area. Given this insight, the second objective of the paper is to provide insights about how ‘no war, no peace’ situations can be resolved. Two different pathways are suggested. The first is idealistic and based on mutual trust, whereas the second is based on deterrence, involving both countries imposing a threat of using armed force against the other country in their respective military doctrines. (Less)

3 citations

Proceedings ArticleDOI
08 Jul 2006
TL;DR: In this paper, the authors focus on what might be appropriate criteria for judging an innovation as successful in an emerging economy such as India and on identifying obstacles to innovativeness, and they argue that there is a wide range of incremental innovations that should be considered and judged by a broader set of criteria.
Abstract: The study of innovations in emerging economies is important for several reasons. They have large potential markets and can be drivers of these economies. The successful ones can make a big difference in a region and may well have a global impact. Finally, these innovations represent a wider spectrum of innovations than those commonly studied. India is rapidly becoming a part of the global economy and given its market potential it would be of interest to study innovations in India. The findings would be useful for the strategic and tactical planning of foreign companies in India, as well as for Indian firms who need to assess their own global competitiveness. This paper focuses on what might be appropriate criteria for judging an innovation as successful in an emerging economy such as India and on identifying obstacles to innovativeness. While a case may be made that Indian innovations should be judged by global criteria, we argue here that there is a wide range of incremental innovations that should be considered and judged by a broader set of criteria. This paper develops and discusses these additional criteria. However, even with such a set, emerging economies have a poor record of producing innovations. Therefore we review the literature and identify key obstacles to innovativeness. The lessons may be applicable to other emerging or developing economies.

3 citations

Proceedings ArticleDOI
16 May 2014
TL;DR: An information system for the investment advisory problem is proposed to aid the wealth managers in providing regulatory compliant investment advice and checks the suitability of the advisory note prepared by the wealth manager subject to a set of inbuilt rules.
Abstract: Information systems in the form of Decision Support Systems (DSS) and Expert Systems (ES) have been used for considerable years in finance, marketing, portfolio management and other fields. Most of these systems use artificial intelligence techniques. Systems have been designed to address the problem of allocating the wealth of an individual across various assets in order to maximize return subject to a certain risk. This problem is known as the investment portfolio management problem. This problem can be comprised of the investment advisory problem and the portfolio allocation problem. This paper proposes an information system for the investment advisory problem to aid the wealth managers in providing regulatory compliant investment advice. The system considers the behavioral traits of the customer and calculates his risk appetite. It then does a risk scoring and allocates the wealth of the customer proportionately in different investment asset classes. It then checks the suitability of the advisory note prepared by the wealth manager subject to a set of inbuilt rules.

3 citations

Journal ArticleDOI
TL;DR: In this paper, the Indian legal provisions related to corporate governance are analyzed and the changes in such provisions is suggested to enable the Indian firms perform better in the new global environment, and the authors elaborate the corporate governance mechanisms in the context of the legal framework in India.
Abstract: The East-Asian crisis and the Enron debacle have drawn the attention of the scientific community on the issues of financial disclosures and corporate governance. Transparency and good governance is essential to strengthen the financial system and to withstand the any crisis, both internal and external. La Porta et al (2000) argue that the laws dealing with the protection of shareholders and the enforcement of such laws determines the financial strength of any country. In this paper we elaborate the corporate governance mechanisms in the context of the legal framework in India. The Indian legal provisions related to corporate governance is analyzed and the changes in such provisions is suggested to enable the Indian firms perform better in the new global environment.

3 citations

Proceedings ArticleDOI
01 Feb 1987
TL;DR: Surprisingly, it is observed that B′ can make exponential number of node expansions in the worst case, and under the same framework of modifiable heuristics a new algorithm, called D, is proposed, which shows better performance than other algorithms.
Abstract: In a recent study, L. Mero suggested a method for run-time modification of heuristic estimate of nodes. An algorithm, called B′, was presented. Performance of B′ was analysed under modifiable and admissible heuristics. It was claimed that B′ was an improved version of a polynomial time bound algorithm, namely B, originally due to Martelli. While in turn B was based on the Algorithm A introduced by Hart, Nilsson et al.Surprisingly, it is observed that B′ can make exponential number of node expansions in the worst case. In particular B′ can make more node expansions than B and also than A! If heuristic is not admissible B′ can output worse solution that B (or A). Under the same framework of modifiable heuristics a new algorithm, called D, is proposed. It is shown that D makes polynomial number of node expansions in the worst case and always finds a solution which is at least as good as that found by B′ and B. Algorithm D is compared with Algorithm C presented by Bagchi and Mahanti. Algorithm C, in general, showed better performance than other algorithms. Here it is shown that C and D output same solution but D makes less number of node expansions than C. The admissibility condition is relaxed and results are proved under a general assumption that heuristic estimate is only non-negative.

3 citations


Authors

Showing all 426 results

NameH-indexPapersCitations
Russell W. Belk7635139909
Vishal Gupta473879974
Sankaran Venkataraman327519911
Subrata Mitra322193332
Eiji Oki325885995
Indranil Bose30973629
Pradip K. Srimani302682889
Rahul Mukerjee302063507
Ruby Roy Dholakia291025158
Per Skålén25572763
Somprakash Bandyopadhyay231111764
Debashis Saha221812615
Haritha Saranga19421523
Janat Shah19521767
Rohit Varman18461387
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202216
202189
202080
201998
201873