This paper presents a restricted maximum likelihood-based algorithm to estimate who influences whose opinions and to what degree when agents share their opinions over large online social networks such as Twitter. The proposed algorithm uses multi-core processing and distributed computing to...

In this work, we seek to quantify the price premium a consumer is willing to pay to share the expenses that firms incur when they take a stand for a socially justified cause, such as child labor or forced labor free supply chains. We find that consumers were willing to pay a 17% price premium...

In this paper, we quantify the effects that product stock-outs led consumer dissatisfactions have on consumer behavior. The study yields a practical solution that retailers could use to determine how a representative consumer is likely to respond to a stock-out situation and hence be proactive...

Accurate estimates of the future demand and the substitution probabilities between products are important inputs for retail assortment optimization. However, these quantities are difficult to estimate as the estimation involves understanding and modeling of consumer’s choice behavior when a...