Indian Institute of Management Ahmedabad

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.

Does move to market have an impact on earnings gap across gender? Some evidence from India

Abstract: We use Indian National Sample Survey employment–unemployment data for the urban sector for the years 1987 and 1999. Our results indicate that the gender wage gap had narrowed considerably between these two years, for all earnings deciles and for all education cohorts. The narrowing of the earnings gap can be attributed largely to a sharp increase in the returns to the labour market experience of women.

The Impact of Study Groups and Roommates on Academic Performance

Abstract: This paper uses random assignment of students to investigate the impact of study groups and roommates on academic achievement. We find that informal social interaction with roommates has a significant positive impact on academic achievement while study group peers have no discernible impact, a result driven by group heterogeneity in ability. We also find that lower ability students benefit from high ability students but not vice versa.

Learning of aggregation models in multi criteria decision making

Abstract: Generalized attitudinal Choquet integral (GACI) is a recent aggregation operator that subsumes a multitude of aggregation operators, including both linear as well as non-linear and exponential integrals. In this study, against the background of preference learning, we use the GACI operator to represent the utility function of a decision-maker (DM), and learn its parameters. The exemplary preference information in the form of pair-wise comparisons of alternatives constitutes the training information. More specifically, given the exemplary pairwise choices of a DM, we present an approach to infer the unique preference model of the DM, in terms of the parameter values of GACI operator. We test our approach on standard datasets, and the prediction performance is compared with state-of-the-art methods.

Adoption of sensor based communication for mobile marketing in India

Abstract: Purpose – This paper aims to explain the applications of sensor-based communication in mobile marketing and how understanding its fast growth is important for marketers. Design/methodology/approach – The paper draws from various examples used by companies in India and abroad to explain the phenomenon of sensor-based communication in mobile marketing. Findings – Marketers should be aware of the different ways in which sensor-based communication can be used to build and sustain customer engagement. Practical implications – The different typologies of applications of sensor-based communication, along with examples, will help the marketers to develop similar initiatives for their brands/products. Originality/value – This is the first paper to illustrate, explain and exhort the usage of sensor-based communication in the Indian context.