The Role of the Management Sciences in Research on Personalization

By B. Murthi, Sumit Sarkar. Management Sciences, 2003

427 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Marketing, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/51da0aeaa2ffee87235755f09566d75b3d802f1d

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In Management Science and Operations Research

In Marketing

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Citations in the corpus

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions (2005, background): “…cognitive science [87], approximation theory [81], information retrieval [89], forecasting theories [6], and also have links to management science [71] and to consumer choice modeling in marketing [60], recommender systems emerged as an independent research area in the mid-1990s when researchers…”
What is Different About Online Advertising? (2014, background): “The potential for Internet technology to increase customization of marketing messages was recognized early in discussions by Ansari and Mela (2003) and Murthi and Sarkar (2003). Around the same time, several theorists were devel-”
Word of Mouse (2008, background): “In a broader sense, personalization also may refer to a tailored environment, product, service, or technology (Murthi and Sarkar 2003).”
Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach (2006, background): “Personalization systems could provide online customers an individualized interface, effective one-to-one information, and customized service [41,52].”
An Experimental Study on Ubiquitous commerce Adoption: Impact of Personalization and Privacy Concerns (2008, background): “The customers, on the other hand, would like to obtain personalized products or services, but, would like to do so by giving out as little information as possible (Murthi and Sarkar, 2003; Adomavicius and Tuzhilin, 2005).”
A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques (2018, methodology): “…have been imporant tools among other application areas such as, information rerieval ( Salton, 1989 ), tourism ( Kabassi, 2010 ), management science Murthi & Sarkar, 2003 ), approximation theory ( Powell, 1981 ), conumer choice modeling in business and marketing ( Lilien, Kotler, & oorthy, 1992 ),…”
Collaborative filtering recommender systems (2013, background): “…systems gained prominence among other application areas such as approximation theory (Powell, 1981), information retrieval (Salton, 1989), forecasting theories (Armstrong, 2001), management science (Murthi and Sarkar, 2003) and consumer choice modeling in marketing (Lilien et al ., 2003).”
Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Information (2015, background): “In fact, personalized pricing (a.k.a. customized or tailored pricing) and other personalization issues have been studied in the economics and marketing literatures (e.g., Choudhary et al. 2005, Montgomery and Smith 2009, Murthi and Sarkar 2003).”
An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification (2012, background): “This diffusion distance was proposed by Nadler et al. (2005) and by Latapy and Pons (2005) in the context of diffusion processes.”