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...

This paper presents a stochastic opinion dynamics model where (a) the opinion of each agent in a network is modeled as a probability distribution as against a point object, (b) consensus is defined as the stability region of the ensuing set of stochastic difference equations, and (c) compromise...

This paper presents a practical approach to estimate the substitution probabilities between products at a retail store by using the store's point of sale data and prospect theory based structural restrictions on the consumer choice behavior. The prospect theory based reference dependent...

This article presents the relationship between a firm’s advertisement spending and sales in a duopoly when information about the competitors’ advertisement spending is unavailable. The competitive interaction between the firms has been modeled as imperfect information Cournot and Stackelberg...

There is growing interest in developing the abilities to simulate realistic social networks and analyze data generated from existing online social networks such as Facebook and Twitter. Amongst other things, researchers and practitioners need these abilities to study how opinions and information...

Weather, especially temperature, plays an important role in determining the supply and demand for a vast variety of goods and services. Though the economic impact of extreme weather is often measured and reported, the impact of systematic changes in weather, such as long-term temperature trends...

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...