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Institution

Indian Institute of Management Ahmedabad

EducationAhmedabad, 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
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Proceedings ArticleDOI
01 Dec 2015
TL;DR: It is found that, for a right mix of data-volume offerings in the product package, the annual ARPU can be both affordable to the rural population as well as profitable for the operator.
Abstract: This paper aims at determining the feasibility of LTE-based 4G-network deployment for providing high-speed broadband access in rural India. Such connectivity is one of the important priorities of the ‘Digital India’ initiative of the Government of India, which would be a primary enabler in the fulfillment of other goals envisaged in the initiative. The assessment is done through a techno-economic analysis, using discounted cash flow approach, taking into account the technical parameters of LTE network components, likely subscriber population (using the Bass model forecasting), and the coverage area matched to the service capacity (using a cell dimensioning approach). We have determined the cost of infrastructure deployment that would meet the demand, estimated the potential revenue from users, and calculated the break-even period given the Average Revenue per User (ARPU). We find that, for a right mix of data-volume offerings in the product package, the annual ARPU can be both affordable to the rural population as well as profitable for the operator. With some amount of stimuli and demand inducing initiatives from the government, 4G investments in the rural India can be an attractive option to the operators.

30 citations

Journal ArticleDOI
TL;DR: In this article, the influence of consumer demographic and personality characteristics on fashion shopping proneness (FSP) in India was investigated, and Hypothesized relationships were assessed using multiple regression and structural equation modelling.
Abstract: Purpose – The global fashion industry is growing at a rapid pace and developing nations such as India are emerging as major contributors to the same. In such case, most academics and marketers are interested in the variables that influence fashion shopping. The purpose of this paper is to investigate the influence of consumer demographic and personality characteristics on fashion shopping proneness (FSP) in India. Design/methodology/approach – Data were collected from 561 respondents using mall intercept survey method. Hypothesized relationships were assessed using multiple regression and structural equation modelling. Findings – Traditional view that younger and female consumers are more fashion prone than older and male consumers is validated. However, demographics accounted for only 9 per cent of the variance in FSP while personality characteristics accounted for 46 per cent. Being agreeable, extroverted, open minded, and stable are all positively associated with fashion shopping. Research limitations/...

30 citations

Journal ArticleDOI
TL;DR: There appears a need to address the issue of construct and predictive validity of the model authoritatively; or the paradigm may remain squandered in the field of obsessive-compulsive disorder research.

30 citations

Journal ArticleDOI
TL;DR: Hourcade et al. as mentioned in this paper proposed that carbon finance should be considered as part of a general reform of the financial system, which could trigger a wave of low-carbon investments in the world thereby redirecting some global savings towards low carbon investments, thus providing a lever for equitable access to development.
Abstract: The economics of climate policy after Rio led to a climate centric paradigm which departs from the original UNFCCC’s cooperative framework for designing climate policies from the perspective of sustainable development. This resulted in a cap-and-trade approach which aims to mitigate the adverse effects on development through appropriate transfers to achieve fair burden sharing. However, the continuation of this paradigm cannot untie the development-climate Gordian knot. (The Gordian Knot refers to a seemingly intractable problem. According to a Greek legend, Gordios arrived in Phrygia in an ox cart, was made King and dedicated his cart to Zeus, tying it up with an intricate knot. The person who would untie the knot would rule Asia. Alexander the Great found a solution by cutting it with his sword. Hourcade et al. (The design of climate policy. MIT Press, Cambridge, p 408, 2008) explain that, after Rio Earth Summit (1992), the climate negotiations remained disengaged from the debates on development pathways, thus tying up a new Gordian knot of misunderstandings.) Instead one loses sight of the benefits of cooperation in a global agreement to abate GHGs emissions. The challenge is now to align the development and climate objectives taking into consideration the changing context since the 1990s which includes a re-equilibrium of the world economic balance and the adverse context created by the 2008 financial crisis. This paper proposes that carbon finance should be considered as part of a general reform of the financial system. The adoption of a carbon value as a notional price could trigger a wave of low-carbon investments in the world thereby redirecting some global savings towards low-carbon investments, thus providing a lever for equitable access to development.

30 citations

Journal ArticleDOI
01 Oct 2010
TL;DR: A case study is presented to estimate few CLV parameters for a direct marketing company and applications of statistical and data mining techniques for predicting CLV and its parameters are reviewed.
Abstract: Computational and digital advancements with the advent of relationship marketing have changed the land signs of business. Digital revolution led to generation and collection of data in companies and extracting knowledge from this data through knowledge discovery in databases (KDD) process. KDD involves many steps, of which an important step is data mining. Data mining is a process of extracting patterns in data through statistical and other techniques and algorithms. In business, firms are shifting their marketing approach from mass marketing to relationship based marketing leading to an era of customer relationship management (CRM). CRM requires sustainable long term relationship with customers and allocation of resources to maintain these relationships. Customer lifetime value (CLV) is a metric to justify resource allocation by segregating customers on the basis of their contribution to the company. In this paper we review applications of statistical and data mining techniques for predicting CLV and its parameters. The applications of techniques such as logistic regression, decision trees, artificial neural networks, genetic algorithms, fuzzy logic and support vector machines are covered. In the end, a case study is presented to estimate few CLV parameters for a direct marketing company.

30 citations


Authors

Showing all 1868 results

NameH-indexPapersCitations
Kanti V. Mardia5423520393
Mousumi Banerjee5319311141
Marti G. Subrahmanyam522027641
Vishal Gupta473879974
Anil K. Gupta4117517828
Priyadarshi R. Shukla391369749
Asha George351564227
Ashish Garg342464172
Justin Paul311194082
Narendra Singh Raghuwanshi311364298
Sumeet Gupta311085614
Nitin R. Patel31554573
Rahul Mukerjee302063507
Chandan Sharma301243330
Gita Sen30573550
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202269
2021423
2020357
2019266
2018243