The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Linkcell Construct and Location-Aware Query Processing for Location-Referent Transactions in Mobile Business
Abstract
The technologies that enable the transactions and interactions of mobile business are now as ubiquitous as any business-applicable technology that has emerged in recent decades. There is also an exploding base of literature with mobile business as its subject. The variety and volume of literature present a challenge to defining mobile business (m-business) in a way that differentiates it from other forms of technology-enabled business activity. For purposes here, m-business is held to be an extension of electronic business wherein transactions occur through communication channels that permit a high degree of mobility by at least one of the transactional parties. Within m- business, the distinct sub-area of locationbased mobile business (l- business) has recently emerged and is rapidly expanding (Frost & Sullivan, 2006). In l-business, the technologies that support m-business transactions are extended to incorporate location-aware capabilities. A system is ‘location aware’ when it senses a transactional party’s geographical position and then uses that positional information to perform one or more of the CRUD (create, retrieve, update, delete) functions of data management in support of a mobile user’s transactional activities (Butz, Baus, and Kruger, 2000). In their discussion of “location awareness”, Yuan and Zhang (2003) suggest that it “is a new dimension for value creation” applicable to an extensive variety of areas in which mobility is a salient characteristic: travel and tourism, commercial transportation, insurance risk/recovery management, emergency response, and many others.
Related Content
Renjith V. Ravi, Mangesh M. Ghonge, P. Febina Beevi, Rafael Kunst.
© 2022.
24 pages.
|
Manimaran A., Chandramohan Dhasarathan, Arulkumar N., Naveen Kumar N..
© 2022.
20 pages.
|
Ram Singh, Rohit Bansal, Sachin Chauhan.
© 2022.
19 pages.
|
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka.
© 2022.
17 pages.
|
Vladimir Nikolaevich Kustov, Ekaterina Sergeevna Selanteva.
© 2022.
23 pages.
|
Krati Reja, Gaurav Choudhary, Shishir Kumar Shandilya, Durgesh M. Sharma, Ashish K. Sharma.
© 2022.
18 pages.
|
Nwosu Anthony Ugochukwu, S. B. Goyal.
© 2022.
23 pages.
|
|
|