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dc.contributor.authorKim, Hwang
dc.date.accessioned2015-08-20T20:56:26Z
dc.date.available2020-05-24T06:00:44Z
dc.date.issued2015-05-24
dc.identifier.otherbibid: 9255389
dc.identifier.urihttps://hdl.handle.net/1813/40639
dc.description.abstractThe dissertation presents marketing issues in which consumers are engaged in more than two activities related to marketing; cross-activity analysis. In particular, the dissertation suggests two marketing models to capture 1) consumers' choices of simultaneous and sequential bundle choices of related categories and 2) consumers' visitation on multiple social network services. Chapter 2 aims to propose a general framework to describe consumers' sequential bundling of items in related product categories and to compare their choices with those under simultaneous bundling situations. To achieve this, a dynamic model in which strategic consumers can choose a bundle either sequentially or simultaneously is developed. Chapter 3 presents a bivariate visitation model where users belong to multiple social networking services. In this model, I find various interdependency sources that affect users' visitations across multiple social networks; experience spillover, correlated sensitivities and unobserved components. Among various sources, I also discover a unique dependency source that come from social network structures across different social network services, that is, overlapping friends. Chapter 4 discusses potential extensions of the approaches that are presented in the dissertation.
dc.language.isoen_US
dc.subjectMulti-category Analysis
dc.subjectSocial Networks
dc.subjectBayesian Statistics
dc.titleEssays On Multi-Activity Analysis
dc.typedissertation or thesis
thesis.degree.disciplineManagement
thesis.degree.grantorCornell University
thesis.degree.levelDoctor of Philosophy
thesis.degree.namePh. D., Management
dc.contributor.chairRao,Vithala R.
dc.contributor.committeeMemberWoodard,Dawn B.
dc.contributor.committeeMemberBunge,John A


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