The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Business Models for Insurance of Business Web Services
|
|
Author(s): Liu Wenyin (City University of Hong Kong, China & CityU-USTC Advanced Research Institute, China), An Liu (University of Science & Technology of China, China & City University of Hong Kong, China & CityU-USTC Advanced Research Institute, China), Qing Li (City University of Hong Kong, China & CityU-USTC Advanced Research Institute, China)and Liusheng Huang (University of Science & Technology of China, China & CityU-USTC Advanced Research Institute, China)
Copyright: 2011
Pages: 12
Source title:
Service Intelligence and Service Science: Evolutionary Technologies and Challenges
Source Author(s)/Editor(s): Ho-fung Leung (Chinese University of Hong Kong, HK), Dickson K.W. Chiu (The University of Hong Kong, Hong Kong)and Patrick C.K. Hung (University of Ontario Institute of Technology, Canada)
DOI: 10.4018/978-1-61520-819-7.ch014
Purchase
|
Abstract
A new business—insurance on business Web services—is proposed. As more and more Web services will be developed to fulfill the ever increasing needs of e-Business, the e-marketplace for Web services will soon be established. However, the qualities of these business Web services are unknown without real experiences and users can hardly make decisions on service selection. We propose that insurance can help build trust in the market of Web services. In this chapter, we propose three insurance models for business Web services and enabling technologies, including quality description, reputation scheme, transaction analysis, etc. We believe that the insurance of business Web services will help service competition and hence boost the development of more and more business Web services, and the software industry at large.
Related Content
|
Azeem Khan, Noor Zaman Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar.
© 2024.
30 pages.
|
|
Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo, Abdalla Hassan Gharib, Amaranadha Reddy Manchuri, Navid Ali Khan, Wee Jing Tee, Lalitha Muniandy.
© 2024.
67 pages.
|
|
Ruchi Doshi, Kamal Kant Hiran.
© 2024.
16 pages.
|
|
N. Ambika.
© 2024.
9 pages.
|
|
Siva Raja Sindiramutty, Wee Jing Tee, Sumathi Balakrishnan, Sukhminder Kaur, Rajan Thangaveloo, Husin Jazri, Navid Ali Khan, Abdalla Gharib, Amaranadha Reddy Manchuri.
© 2024.
54 pages.
|
|
Azeem Khan, NZ Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar.
© 2024.
22 pages.
|
|
Azeem Khan, Noor Zaman Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar.
© 2024.
36 pages.
|
|
|