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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: Emerging markets & Population. 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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Journal ArticleDOI
TL;DR: The authors examined the influence of review valence and source of online reviews on a customer's attitude and purchase decision in the context of public and private consumption using social influence theory and the concept of negativity bias.

43 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the systemwide impact of waiting on customer behavior and resulting revenue by analyzing data obtained from 94,404 customers visiting a popular Indian restaurant during a 12-month period.

43 citations

Journal ArticleDOI
TL;DR: This research applies nominal group technique (NGT) and analytical hierarchy process (AHP) techniques to Luo and Strong's framework to help organizations determine feasible customization choices for their ERP implementation initiatives.

43 citations

Posted Content
TL;DR: In this article, the authors find several examples in the history of the evolution of finance of relationships that have been converted into transactions, including the creation of "stock," representing ownership in a corporation, and the process of converting loans to corporations of high credit quality corporate borrowers into publicly traded bonds.
Abstract: Securitization as a financial instrument has had an extremely significant impact on the world's financial system. First, by integrating capital markets and the uses of resources - such as mortgage originators, finance companies, governments, etc. - it has strengthened the trend towards disintermediation. Having been able to mitigate agency costs, it has made lending more efficient; evidence of this can be observed in the mortgage markets. By permitting firms to originate and hold assets off the balance sheet, it has generated much higher levels of leverage and, though arguably, greater economies of scale. Combination of securitization techniques with credit derivatives and risk transfer devices continues to develop innovative methods of transforming risk into a commodity and allow various market participants to tap into sectors which were otherwise not open to them. In its broadest sense, the term "securitization" implies a process by which a financial relationship is converted into a transaction. A financial transaction is the coming together of two or more entities; a financial relationship is their staying together. For example, a loan to a corporation is a financial relationship; once the loan is transformed into a tradable bond, it is a transaction. We find several examples in the history of the evolution of finance of relationships that have been converted into transactions. The creation of "stock," representing ownership in a corporation, is one of the earliest and most important examples of this process because of its impact on the growth of the corporate form of business organization. The process of converting loans to corporations of high credit quality corporate borrowers, and in the 1970s expanding that opportunity to speculative-grade corporate borrowers, into publicly traded bonds is another example of this. Commercial paper is another example of securitization of relationships as it securitizes a trade debt.

43 citations

Journal ArticleDOI
TL;DR: The proposed THUI method offers one to three orders of magnitude runtime performance improvement over other related methods in the literature, especially on large, dense and long average transaction length datasets, and the memory requirements of the proposed method are found to be lower.
Abstract: Top-K High Utility Itemset (HUI) mining problem offers greater flexibility to a decision maker in specifying her/his notion of item utility and the desired number of patterns. It obviates the need for a decision maker to determine an appropriate minimum utility threshold value using a trial-and-error process. The top-k HUI mining problem, however, is more challenging and requires use of effective threshold raising strategies. Several threshold raising strategies have been proposed in the literature to improve the overall efficiency of mining top-k HUIs. This paper advances the state-of-the-art and presents a new Top-K HUI method (THUI). A novel Leaf Itemset Utility (LIU) structure and a threshold raising strategy is proposed to significantly improve the efficiency of mining top-k HUIs. A new utility lower bound estimation method is also introduced to quickly raise the minimum utility threshold value. The proposed THUI method is experimentally evaluated on several benchmark datasets and compared against two state-of-the-art methods. Our experimental results reveal that the proposed THUI method offers one to three orders of magnitude runtime performance improvement over other related methods in the literature, especially on large, dense and long average transaction length datasets. In addition, the memory requirements of the proposed method are found to be lower.

42 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