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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TL;DR: In this paper, a simple framework is sketched to describe the transactions that lead to grand, systemic and petty or retail corruption in India and the focus of this paper is on the institutions of administration that foster corruption at all levels and the consequences of petty corruption.
Abstract: India has achieved a respectable rate of economic growth in an environment that is quite permissive of corrupt practices to the extent that acts of corruption, if sufficiently clever, are not scorned but praised. Despite the coexistence of corruption and unprecedented economic growth we argue that there is unrealised potential for further growth that is held back by the institutions of administration and associated corruption. With growth as substantial as it has been there is less pressure on those at the top to restrain corruption. There is still significant room for the Indian economy to accelerate its growth through steps to reduce corruption particularly as it impacts businesses and individuals in their day-to-day economic pursuits. A simple framework is sketched to describe the transactions that lead to grand, systemic and petty or retail corruption. The focus of this paper is on the institutions of administration that foster corruption at all levels and the consequences of petty corruption...
35 citations
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TL;DR: In this article, the authors examined the role of driver personality characteristics in predicting risky and productive driving using GPS data of 370 longhaul trips in India, survey data of 49 truck drivers, and ERP data, and found that more conscientious drivers display more risky driving behavior.
Abstract: Using GPS data of 370 long-haul trips in India, survey data of 49 truck drivers, and ERP data, this study examines the role of driver personality characteristics in predicting risky and productive driving. The results show that more conscientious drivers display more risky driving behavior. More extravert drivers are less productive, whereas driver safety consciousness positively relates to productivity. These results can serve as a starting point for further studies into how long-haul transport companies may use individual truck driver characteristics in their training and selection procedures to meet operational safety and productivity objectives.
35 citations
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TL;DR: RF-TDA is seen to perform quite well in the two experiments based on real-life stock-price data, which implies that the topological features of the time series of stock prices in the different sectors are not identical and have distinctive features that can be discerned through the use of TDA.
Abstract: In this paper, we propose new methods for time series classification and clustering. These methods are based on techniques of Topological Data Analysis (TDA) such as persistent homology and time delay embedding for analysing time-series data. We present a new clustering method SOM-TDA and a new classification method RF-TDA based on TDA. Using SOM-TDA we examine the topological similarities and dissimilarities of some well-known time-series models used in finance. We also use the RF-TDA to examine if the topological features can be used to distinguish between time series models using simulated data. The performance of RF-TDA on the classification task is compared against three other classification methods. We also consider an application of RF-TDA to financial time series classification using real-life price data of stocks belonging to different sectors. RF-TDA is seen to perform quite well in the two experiments based on real-life stock-price data. This implies that the topological features of the time series of stock prices in the different sectors are not identical and have distinctive features that can be discerned through the use of TDA. We also briefly consider multi-class classification using RF-TDA.
35 citations
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TL;DR: In this paper, the authors examined the relationship among team spiritual climate, team learning, and team innovative work behaviours, and found that spiritual climate has a positive association with learning in teams and team learning mediates the relationship between spiritual climate and team-level innovative behaviours.
Abstract: Employees’ creative and innovative contributions greatly influence an organisation's success. Drawing on positive affect, adult learning theory, work engagement, and the componential theory of creativity, this study examines relationships among team spiritual climate, team learning, and team innovative work behaviours. Data were collected from 336 employees of 66 teams across 12 business organisations in India. An analysis of relationships was performed with team-level aggregated scores of individual responses using structural equation modelling. Results suggest that spiritual climate has a positive association with learning in teams, and team learning mediates the relationship between spiritual climate and team-level innovative behaviours.
35 citations
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TL;DR: In this article, the authors examine the relationship between Twitter related activities of manufacturing firms and the market reaction towards these firms and find that adoption of Twitter increases the value of the firm post adoption.
35 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 |