How is the Mobile Internet Different

By Anindya Ghose, Avi Goldfarb, Sang Pil Han. 2012

471 citations recorded by the source corpus.

Subfields: Information Systems, Sociology and Political Science, Transportation

View Paper: https://www.semanticscholar.org/paper/e3436f2a6667ad69226f8a29fe6c9db05bac44b1

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Citations in the corpus

Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness (2016, methodology): “We advance prior research on mobile targeting (Danaher and Dagger 2013; Dickinger and Kleijnen 2008; Ghose et al. 2013a, b; Fong et al. 2015; Luo et al. 2014; Molitor et al. 2014) by revealing the new hyper-contextual dimension of crowding, a novel way to target mobile users.”
Geo-Conquesting: Competitive Locational Targeting of Mobile Promotions (2015, background): “This would reinforce findings from other mobile research (Danaher et al. 2015; Ghose, Goldfarb, and Han 2013; Luo et al. 2014) with additional measures to reduce selection bias.”
Selectively Emotional: How Smartphone Use Changes User-Generated Content (2019, unknown): “One outcome is that smart-phone users tend to search through and consume less information when browsing on their devices as compared with PC users (Ghose, Goldfarb, and Han 2013).”
Estimating Demand for Mobile Applications in the New Economy (2014, background): “…stream of work has started using randomized field experiments to causally measure cross-platform synergies between web and mobile advertising (Ghose et al. 2013b), quantify how geographic distance between the user and a store, and the rank of the offer on the mobile screen influences mobile…”
Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology (2018, background): “From a digital marketing viewpoint, some researchers suggest that this can be due to the nature of mobile shopping as acting in the early stages of the purchase funnel (Ghose et al., 2012) where consumers search for products and assess their purchase fit.”
An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet (2011, background): “In online settings, users need to allocate their resources between content generation and content usage activities because users can take on the dual role of creators as well as consumers (Ghose and Han 2009, Trusov et al. 2010, Albuquerque et al. 2010, Ghose et al. 2011).”