Indian Institute of Management Calcutta

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.

The 2008 Survey of Indian Third-Party Logistics (3PL) Service Providers: Comparisons with the 2004 Survey of Indian 3PLs and 2006 Survey of North American 3PLs

Abstract: This paper presents a survey of Indian third-party logistics (3PL) providers and compares the state of the industry with that in 2004 based on an earlier survey. The 3PL industries of India and North America are also compared. The survey finds that the Indian 3PL industry lags behind North America in terms of global reach and breadth of service. Indian 3PL providers also underperform in key variables that determine performance levels. Other problems identified by the survey are the lack of awareness among Indian shippers, shortage of management talent, inadequate infrastructure, complex documentations, and multiple tax systems. Despite these limitations, the Indian 3PL industry is growing. Many global players are entering the Indian market through direct investments, acquisitions, and alliances. The Indian government is also improving the infrastructure, reducing paperwork, simplifying taxation systems, and implementing economic policies conducive to growth. This paper provides significant insights for logistics managers, government, and other stakeholders.

A Novel Word Embedding Based Stemming Approach for Microblog Retrieval During Disasters

Abstract: IR methods are increasingly being applied over microblogs to extract real-time information, such as during disaster events. In such sites, most of the user-generated content is written informally – the same word is often spelled differently by different users, and words are shortened arbitrarily due to the length limitations on microblogs. Stemming is a common step for improving retrieval performance by unifying different morphological variants of a word. In this study, we show that rule-based stemming meant for formal text often cannot capture the arbitrary variations of words in microblogs. We propose a context-specific stemming algorithm, based on word embeddings, which can capture many more variations of words than what can be detected by conventional stemmers. Experiments on a large set of English microblogs posted during a recent disaster event shows that, the proposed stemming gives considerably better retrieval performance compared to Porter stemming.

Market Separations for BOP Producers: The Case of Market Development for the Chanderi Cluster Weavers in India

Abstract: In this article, we study the Chanderi handloom cluster as a case of market development by applying and extending Bartels’ (1968) theory of market separations. We conduct 12 in-depth semi-structure...

Delay Estimates for Graphene Nanoribbons: A Novel Measure of Fidelity and Experiments with Global Routing Trees

Abstract: With extreme miniaturization of traditional CMOS devices in deep sub-micron design levels, the delay of a circuit, as well as power dissipation and area are dominated by interconnections between logic blocks. In an attempt to search for alternative materials, Graphene nanoribbons (GNRs) have been found to be potential for both transistors and interconnects due to its outstanding electrical and thermal properties. GNRs provide better options as materials used for global routing trees in VLSI circuits. However, certain special characteristics of GNRs prohibit direct application of existing VLSI routing tree construction methods for the GNR-based interconnection trees. In this paper, we address this issue possibly for the first time, and propose a heuristic method for construction of GNR-based minimum-delay Steiner trees based on linear-cum-bending hybrid delay model. Experimental results demonstrate the effectiveness of our proposed methods. We propose a novel technique for analyzing the relative accuracy of the delay estimates using rank correlation and statistical significance test. We also compute the delays for the trees generated by hybrid delay heuristic using Elmore delay approximation and use them for determining the relative accuracy of the hybrid delay estimate.