An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet

By Anindya Ghose, Sang Pil Han. Management Sciences, 2011

303 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Media Technology, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/950a343c767c1e0bee865c4feee5b82a9d4bda13

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In Electrical and Electronic Engineering

In Media Technology

In Strategy and Management

Citations in the corpus

The Role of Big Data and Predictive Analytics in Retailing (2017, background): “The biggest change in recent years in location-based data capture and use has been enabled by customer's smartphones (e.g., Ghose and Han 2011, 2014).”
The impact of social and conventional media on firm equity value: A sentiment analysis approach (2013, background): “Recent research suggests that it is important to extract the multifaceted textual content in UGC, which highlights the need to delve deeper into the content of the online discussions [1,13,35].”
Selectively Emotional: How Smartphone Use Changes User-Generated Content (2019, unknown): “Extending the nascent stream of work on the effects of mobile use on online consumption activities (e.g., Ghose and Han 2011; Ransbotham, Lurie, and Liu 2018), our research shows through both field studies and controlled experiments that UGC produced on smartphones privileges the inclusion of…”
How is the Mobile Internet Different (2012, background): “…relevant work has investigated the economic and social impact of user-generated multimedia content on the mobile internet by mapping the interdependence between content generation and usage (Ghose and Han 2011) and modeling how consumers learn about different kinds of content (Ghose and Han 2010).”
Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness (2016, background): “…studies on consumers' use of mobile phones and responsiveness to mobile ads have examined contextual factors such as users' geographic mobility (Ghose and Han 2011), location (Molitor et al. 2014), location and time at which they receive a promotion (Luo et al. 2014), weather (Molitor et al.…”
Estimating Demand for Mobile Applications in the New Economy (2014, background): “…stream of work has investigated user behavior on the mobile internet by mapping the interdependence between mobile content generation and usage (Ghose and Han 2011), documenting differences in search costs and location activities on mobile phones vs. PCs (Ghose et al. 2013a) and quantifying…”
A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry (2016, background): “As noted in Ghose and Han (2011) and Shriver, Nair, and Hofstetter (2013), results from the mobile domain appear to be a bit different from those found in the nonmobile context.”
Understanding the paradigm shift to computational social science in the presence of big data (2014, unknown): “…burgeoning research on social media and social network during the past ﬁ ve years re ﬂ ects some of the most exciting new impacts of IT on relationships among people in society, as well as signi ﬁ cant innova-tionsforhownewmethodologiesandinterdisciplinaryperspectivescan be used [4,31,32,44,46,47].”