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.

Adoption of rfid and its long term impact on firm value

Abstract: With the growing scale of RFID investment, the relationship between RFID and firm value has attracted the attention of a lot of researchers. Prior research had employed the event study method to examine the short term market reaction to RFID adoption and found significant negative abnormal return. In this paper, we extend previous research by investigating the long term impact of RFID investment on firm market value using the CPA (Calendar Portfolio Analysis), 108 announcements related to 74 publicly traded companies were analysed. Our results indicate an overall significant negative impact on long term abnormal return of market value after adoption of RFID. It is also discovered that non-US based firms, late adopters, manufacturers, highly diversified firms, high financially unhealthy firms and low growth potential firms suffered more negative impact in the long term. The results signify that the market is impacted by the risks associated with the use of a new and disruptive technology like RFID and may not yet be ready to accept it as a standard technology that is adopted by firms. Put together, our results provide new insights into how RFID and other contextual factors interact to affect the financial performance of firms in the long run.

Inverse sampling for domain estimation in a stratified population

Abstract: Summary For a stratified population under inverse sampling, we propose and study an unbiased estimator for the mean of units belonging to a domain with specific features. An alternative, simpler, ratio-type estimator is also considered. Empirical studies show that strategies based on inverse sampling can be superior to a more traditional strategy based on stratified simple random sampling with a fixed number of draws in each stratum.

Restricted and Unrestricted Fiscal Grants and Tax Effort of Panchayats in India

Abstract: The impact of restricted and unrestricted fiscal grants on tax effort of panchayats is examined using nationally representative panel data on finances. Three pathways are proposed through which these impacts accrue: wages, profits, and incentives. In order to deal with the simultaneities of grants received and taxation, a system of equations is estimated simultaneously, where the first stage equations predict the grants. The results show that a wage impact on taxation exists, but is very small and the productivity impact of grants on taxes is negligible. This means that incentive effects associated with the specifics of the intergovernmental fiscal system in the states are the main determinant of village taxation. Several policy conclusions are advanced.

Data Analytics in Quantum Paradigm: An Introduction

Abstract: In this introductory material, we will discuss basics of quantum paradigm and how the developments in that area may provide useful pointers in the domain of data analytics. We will discuss about the power of quantum computation with respect to the classical one and try to present the implications of arrival of several quantum technologies in practice. The prime concerns in data analytics are fast computation, fast communication, and security of data. Among these issues, the main focus is naturally on the computation and then the rest of the issues follow. The objective of getting better efficiency can be attained by discrete algorithms with improved (lesser) time complexity and it is now proven that there are quantum algorithms that are indeed much faster than their classical counterparts. However, in all the domains of computation, such improvements may not be available and also fabricating a commercial quantum computer is still elusive. We will try to briefly describe an outline of quantum paradigm in this material with possible implications in several aspects in data analytics.

Redundancy Optimization Through Simplex Pattern Search

Abstract: Optimal allocation of redundancy in a series system with separately maintained repairable subsystems subject to multiple constraints is investigated for maximizing system reliability using simplex pattern search and separable programming. The constraints, besides the usual ones, include one based on s-expected busy periods of the maintenance facilities. A numerical example illustrates the method.