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Publications (13)
This paper gives a systematic research review at the boundary of the information systems (IS) and marketing disciplines. First, a historical overview of these disciplines is given to put the review into context. This is followed by a bibliographic analysis to select articles at the boundary of IS and marketing. Text analysis is then performed on th...
In the last decade, online social networks have become an integral part of life. These networks play an important role in the dissemination of news, individual communication, disclosure of information, and business operations. Understanding the structure and implications of these networks is of great interest to both academia and industry. However,...
In the current fragmented media landscape, online video is becoming an important outlet for content dissemination. Online video channels provide content creators a way of organizing content and building an online following through subscriptions and social sharing. This paper describes a decision support systems (DSS) based framework for online vide...
This panel discussion is designed to give a broad scope overview of visualization and segmentation. Topics include classic segmentation tools, dealing with modern “big” data, and the toolkit of a modern researcher.
Flexible cultural consensus theory (FlexCCT) provides an integrated framework and tool set for analyzing and aggregating ratings. It utilizes a likelihood-based statistical model to create aggregate ratings weighted for rater competencies and rater biases. It has features for the analysis of multiple rating cultures and for consensus adjusted relia...
Detecting communities of interest in social media platforms provides insight into the platforms and the individuals that use them. The bulk of research in community detection is directed at network analysis of individuals and their interaction with other members within the network. However, connections outside the network can also be useful for com...
It is estimated that the online video advertising market will be worth $8 billion by 2016, up from $4 billion by 2013. Consequently, there is a need for metrics to help analyze and understand this rapidly growing market. This paper helps fill this need by describing a framework for modeling online video behavior, which is based on growth curve mode...
Group-buying auction is a new business model in e-commerce. This auction has its own characteristics that make it distinct from other types of auctions. Customers' waiting time is an inherent attribute for group-buying auction. However, this attribute is rarely considered in the previous pricing models. Therefore, finding an appropriate pricing mod...
Purpose ‐ Nowadays, because of more availability of products, there is an increasing need for companies to establish a strong relationship with their customers. As the fast food industry is not an exception and has a competitive environment, analyzing customers' behavior helps bridge this gap. Data mining techniques help to segment customers as wel...