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While this presents enterprises with unequalled levels of potential productivity gains, it also presents security and privacy challenges as well. In the context of cyber foraging, the issues of ethicacy and opt-in meet head-on, as the use of servers to cache locations and define locational preferences and habits of consumers. For these privacy reasons and the untested nature of location-aware advertising services, it is anticipated that GPS-enabled networks such as these will require exceptional high levels of security so that no spoofing or authentication-based impersonation occurs (Soylemezoglu, Zawodniok, Cha, Hall, et al., 2006). Despite these limitations and concerns however the ability to tailor systems that take into account preferences defined through specific taxonomies and then integrate them with GOPS data presents unique opportunities to further capitalize on this technology.
Assessing the Value of GPS and its Limitations
In conclusion, GPS has proven to be invaluable for a series of consumer commercial and government-based applications. While consumer-based uses have the greatest awareness due to advertising and marketing strategies aimed at educating the general public about its value, the greatest gains are occurring in the enterprise arena (Gaukler, zer, Hausman, 2008). This is because process efficiencies and gains have multiplicative effects throughout an organization, and serve as the basis for greater profitability over time.
Despite this value however there are several drawbacks of GPS. First is the issue of its accuracy and reliability. While ECC and CRC-based data checks are incorporated into its data communications protocol there are still error-ridden transmissions that can in the case of enterprise use, can cost millions of dollars in lost productivity. There is also the limitation of how quickly GPS data can be transmitted through the GNSS. There is a result often signal delay, atmospheric disturbance at Ionospheric transmission levels, and multipath signal corruption as well (GPS Management Application, 2009). The bottom line is that while GPS is delivering valuable locational and velocity-specific data that serves as the foundation for entirely new business models and potentially industries,...
(2009). GPS Success. Quality, 48(1), 44. Retrieved March 20, 2009, from ABI/INFORM Global database. (Document ID: 1641384741).
Scott Bradner. (2009, February). Google's Latitude: Not new, but worrisome. Network World, 26(7), 19. Retrieved March 20, 2009, from ABI/INFORM Global database. (Document ID: 1651334401).
Gary M. Gaukler, zalp zer, Warren H. Hausman. (2008). Order Progress Information: Improved Dynamic Emergency Ordering Policies. Production and Operations Management, 17(6), 599-613. Retrieved March 21, 2009, from ABI/INFORM Global database. (Document ID: 1597180901).
GPS Management Application. (2009, February). Transmission & Distribution World, Retrieved March 21, 2009, from Business Source Premier database.
Hoon Jung, Keumwoo Lee, Wookwan Chun. (2006). Integration of GIS, GPS, and optimization technologies for the effective control of parcel delivery service. Computers & Industrial Engineering, 51(1), 154. Retrieved March 21, 2009, from ABI/INFORM Global database. (Document ID: 1164913161).
Young-Bae Ko, Nitin H. Vaidya. (2000). Location-Aided Routing (LAR) in mobile ad hoc networks. Wireless Networks, 6(4), 307-321. Retrieved March 20, 2009, from ABI/INFORM Global database. (Document ID: 403870921).
Michael G. Malloy. (2003, September). Meridian IQ buys U.S. operations of Hong Kong 3PL GPS Logistics. Transport Topics,(3555), 46. Retrieved March 19, 2009, from ABI/INFORM Trade & Industry database. (Document ID: 437848211).
M. Satyanarayanan, 2000, Caching Trust Rather Than Content. M. Satyanarayanan. School of Computer Science, Carnegie Mellon University, Operating Systems Review. Volume 34, No. 4, October 2000
Soylemezoglu, MJ Zawodniok, K Cha, D Hall, et al. (2006). A testbed architecture for Auto-ID technologies. Assembly Automation, 26(2), 127-136. Retrieved March 20, 2008, from ABI/INFORM Global database. (Document ID: 1040959371).
Daoqin Tong, Carolyn J. Merry, Benjamin Coifman. (2009). New Perspectives on the Use of GPS and GIS to Support a Highway Performance…
References
Michelle Bangert. (2009). GPS Success. Quality, 48(1), 44. Retrieved March 20, 2009, from ABI/INFORM Global database. (Document ID: 1641384741).
Scott Bradner. (2009, February). Google's Latitude: Not new, but worrisome. Network World, 26(7), 19. Retrieved March 20, 2009, from ABI/INFORM Global database. (Document ID: 1651334401).
Gary M. Gaukler, zalp zer, Warren H. Hausman. (2008). Order Progress Information: Improved Dynamic Emergency Ordering Policies. Production and Operations Management, 17(6), 599-613. Retrieved March 21, 2009, from ABI/INFORM Global database. (Document ID: 1597180901).
GPS Management Application. (2009, February). Transmission & Distribution World, Retrieved March 21, 2009, from Business Source Premier database.
Although the research tools provided by the ISO 14001 framework are both qualitative and quantitative, this approach is consistent with the guidance provided by Neuman (2003) who points out that, "Both qualitative and quantitative research use several specific research techniques (e.g., survey, interview, and historical analysis), yet there is much overlap between the type of data and the style of research. Most qualitative-style researchers examine qualitative data and vice
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It was then important to see the degree at which technology and training played a role in combating each fire. 1.2.4.Rationale of the Study What is that can be gained from this study? The reasoning behind such a study is born out of a need to provide better training for fire fighters so that fire management systems will improve and reduce the amount of loss due to the fire. By studying
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