Location-Based Services

By B. Falchuk, D. Famolari, S. Loeb. Encyclopedia of Wireless and Mobile Communications, 2008

725 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0200403ab13da2b8b8c8f2f73aa8c72e0df1393f

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Citations in the corpus

Location based services: ongoing evolution and research agenda (2018, background): “Huang and Gao (2018) argue that adaptive services (self-adaptation) rather than adaptable ones (controlled adaptation) should be introduced for LBS applications, considering the fact that LBS users are often involved in many tasks and activities while using mobile devices.”
Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach (2016, background): “Empirical evidence shows that users will not simply accept and use the technology if it does not fit their needs and improve their performance ( Junglas and Watson, 2008; Gebauer and Ginsburg, 2009).”
Customer knowledge management via social media: the case of Starbucks (2013, background): “Their ability to provide personalized location-based context-sensitive information has earned them the nickname " killer application of mobile business " (Junglas and Watson, 2008).”
The limits of crisis data: analytical and ethical challenges of using social and mobile data to understand disasters (2015, methodology): “According to Pew Research Center’s Internet & American Life Project, in 2013 Twitter is used by 16 % of US online adults (Brenner and Smith 2013a), while ‘‘check-in’’ services like Foursquare are only used by 7 % (Zickuhr 2013b).”
A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS) (2017, background): “Location based services (LBS) stand for providing services based on the geographical location which is determined by a mobile device [94].”
Context-aware recommender systems (2008, unknown): “This contextual information is crucial for providing a broad range of LocationBased Services (LBSes) to the mobile customers [64].”
Dynamics of information diffusion and its applications on complex networks (2016, background): “Particularly, either cellular towers or GPS allows locating of the device,whichprovide rich contextual information on the environment and facilitatemany location based services [33], such as advertising [34], recommendation [35], location-based social networking [34], navigation [36], etc.”
Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms (2015, background): “Such a feature is quite popular, as 30% of users attach locations to their posts [36].”
Confounds and Consequences in Geotagged Twitter Data (2015, background): “Social media users in the age brackets 1829 and 30-49 are also more likely to tag their locations in social media posts than social media users in the age brackets 50-64 and 65+ (Zickuhr, 2013), with women and men tagging at roughly equal rates.”
Integrating TTF and UTAUT to explain mobile banking user adoption (2010, background): “Most users will consider these services as useful, but there may be some users arguing that these services violate their privacy rights (Junglas & Watson, 2008; Sheng, Nah, & Siau, 2008).”