Continued Usage and Location Disclosure of Location-Based Applications: A Necessity for Location Intelligence

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This article's research builds a continuance usage and location disclosure model from the expectation-confirmation perspective. The effect of benefit expectations on usefulness and satisfaction is hypothesized. In addition, the positive effect of usefulness on satisfaction and continuance intention is postulated. Findings contribute to the current literature in business intelligence by focusing on location disclosure behavior in the context of LBAs and the necessity of this type of information for location intelligence. This article was presented at the 52nd Hawaii International Conference on System Sciences.

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11 p.

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Peak, Daniel; Mousavizadeh, Mohammadreza & Koohikamali, Mehrdad January 8, 2019.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Business to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 11 times. More information about this article can be viewed below.

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This article's research builds a continuance usage and location disclosure model from the expectation-confirmation perspective. The effect of benefit expectations on usefulness and satisfaction is hypothesized. In addition, the positive effect of usefulness on satisfaction and continuance intention is postulated. Findings contribute to the current literature in business intelligence by focusing on location disclosure behavior in the context of LBAs and the necessity of this type of information for location intelligence. This article was presented at the 52nd Hawaii International Conference on System Sciences.

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11 p.

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Abstract: Location-based applications (LBA) have been widely accepted and used for different purposes ranging from navigation to dating or gaming. Most LBAs ask users to provide access to location data for more efficient and personalized location-based services. Location intelligence as an emerging area of business intelligence relies heavily on disclosing location information by users. This research builds a continuance usage and location disclosure model from the expectation-confirmation perspective. The effect of benefit expectations on usefulness and satisfaction is hypothesized. In addition, the positive effect of usefulness on satisfaction and continuance intention is postulated. After collecting survey data from main LBA users, the results of the analysis support the proposed model. Findings contribute to the current literature in business intelligence by focusing on location disclosure behavior in the context of LBAs and the necessity of this type of information for location intelligence.

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  • Proceedings of the 52nd Hawaii International Conference on System Sciences, University of Hawaiʻi at Mānoa, 2019, pp. 1362-1372
  • Hawaii International Conference on System Sciences 2019, January 8-11, 2019. Maui, HI, United States

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  • Publication Title: Proceedings of the 52nd Hawaii International Conference on System Sciences
  • Pages: 11
  • Page Start: 1362
  • Page End: 1372

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  • January 8, 2019

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  • June 15, 2022, 3:14 p.m.

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  • Dec. 1, 2023, 2:57 p.m.

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Thumbnail image of item number 1 in: 'Continued Usage and Location Disclosure of Location-Based Applications: A Necessity for Location Intelligence'.
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Thumbnail image of item number 4 in: 'Continued Usage and Location Disclosure of Location-Based Applications: A Necessity for Location Intelligence'.

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Peak, Daniel; Mousavizadeh, Mohammadreza & Koohikamali, Mehrdad. Continued Usage and Location Disclosure of Location-Based Applications: A Necessity for Location Intelligence, article, January 8, 2019; Mānoa, Hawai'i. (https://digital.library.unt.edu/ark:/67531/metadc1944107/: accessed May 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Business.

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