Now showing items 1-4 of 4
Identifying the most and least promising customers through similarity kernels
(Indian Institute of Management, Ahmedabad, 2015-12-11)
Research has demonstrated that identifying profitable customers and acquiring them is far more expensive than retaining existing customers. The higher cost emerges because firms are unable to identify the truly profitable ...
Can we infer the "laws" of finance from big data?
(Indian Institute of Management Ahmedabad, 2017-08-24)
A distinction often made between the physical sciences and social sciences is that the latter are not as amenable as the former to controlled experiments for rigorously verifying predictions made from theory. However, ...
Online Infomediary for One-of-a-Kind Services
(Indian Institute of Management Ahmedabad, 2017-11-27)
We analyze a monopolistic online infomediary that connects the consumer and providers of one-of-a-kind services (e.g., home improvement). The infomediary selects a “platform” that dictates who pays (the providers or the ...
Big Data, Big Promise, Big Challenge: Can Small Area Estimation Play a Role in the Big Data Centric World?
(Indian Institute of Management Ahmedabad, 2018-02-09)
The demand for various socio-economic, transportation, and health statistics for small geographical areas is steadily increasing at a time when survey agencies are desperately looking for ways to reduce costs to meet fixed ...