Tourism business web integration with web services

Author(s):  
Sulistyo Heripracoyo ◽  
Suroto Adi
2011 ◽  
pp. 487-498
Author(s):  
Liu Wenyin ◽  
An Liu ◽  
Qing Li ◽  
Liusheng Huang

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.


Author(s):  
An Liu ◽  
Liu Wenyin ◽  
Liusheng Huang ◽  
Qing Li ◽  
Mingjun Xiao

As more web services that implement core functions of business are delivered to customers with service charges, an open and competitive business web services market must be established. However, the qualities of these business web services are unknown without real experiences and users are unable to make decisions on service selection. To address this problem, the authors adopt insurance into business web services composition. In this paper, the authors propose three insurance models for business web services. Based on the insurance models, the authors propose an approach to compute the expected profit of composite business web services, which can be used as a criterion for business web services composition. The insurance of business web services and the criterion for business web services composition will help service competition and boost the development of more business web services and the software industry.


2011 ◽  
Vol 1 (1/2) ◽  
pp. 114
Author(s):  
Demian Antony D' ◽  
N.A. Mello ◽  
V.S. Ananthanarayana

2009 ◽  
pp. 2115-2130
Author(s):  
Wei-Chuen Yau ◽  
G. S. V. Radha Krishna Rao

Web services enable the communication of application- to-application in a heterogeneous network and computing environment. The powerful functionality of Web services has given benefits to enterprise companies, such as rapid integrating between heterogeneous e-business systems, easy implementation of e-business systems, and reusability of e-business services. While providing the flexibility for e-business, Web services tend to be vulnerable to a number of attacks. Core components of Web services such as simple object access protocol (SOAP), Web services description language (WSDL), and universal description, discovery, and integration (UDDI) can be exploited by malicious attacks due to lack of proper security protections. These attacks will increase the risk of e-business that employs Web services. This chapter aims to provide a state-of-the-art view of Web services attacks and countermeasures. We examine various vulnerabilities in Web services and then followed by the analysis of respective attacking methods. We also discuss preventive countermeasures against such attacks to protect Web services deployments in e-business. Finally, we address future trends in this research area.


Data Mining ◽  
2013 ◽  
pp. 1253-1275
Author(s):  
Zhaohao Sun ◽  
Ping Zhang ◽  
Dong Dong

Web services play an important role in successful business integration and other application fields such as e-commerce and e-business. Customer decision making (CDM) is an indispensable factor for e-business and Web services. This chapter examines customer decision making in Web services. More specifically, it first looks at decision making in Web services, and proposes a novel P6 model for CDM in Web services, which consists of 6 Ps: privacy, perception, propensity, preference, personalization, and promised experience. This model integrates the existing 6 P elements of marketing mix as the environment of customer decision making in Web services. The new integrated P6 model deals with the inner world of the customer for decision making (DM) and incorporates what the customer sees and thinks during a DM process. The purpose of this novel P6 model is to assist customers in the decision process to acquire the most satisfactory Web service. This chapter also examines case-based decision making in Web services and provides a theoretical foundation for case-based decision making under the condition of one problem with multiple solutions in Web services. The proposed approach will facilitate research and development of e-business, Web services, decision support systems, intelligent systems, and soft computing.


Author(s):  
Zhaohao Sun ◽  
Ping Zhang ◽  
Dong Dong

Web services play an important role in successful business integration and other application fields such as e-commerce and e-business. Customer decision making (CDM) is an indispensable factor for e-business and Web services. This chapter examines customer decision making in Web services. More specifically, it first looks at decision making in Web services, and proposes a novel P6 model for CDM in Web services, which consists of 6 Ps: privacy, perception, propensity, preference, personalization, and promised experience. This model integrates the existing 6 P elements of marketing mix as the environment of customer decision making in Web services. The new integrated P6 model deals with the inner world of the customer for decision making (DM) and incorporates what the customer sees and thinks during a DM process. The purpose of this novel P6 model is to assist customers in the decision process to acquire the most satisfactory Web service. This chapter also examines case-based decision making in Web services and provides a theoretical foundation for case-based decision making under the condition of one problem with multiple solutions in Web services. The proposed approach will facilitate research and development of e-business, Web services, decision support systems, intelligent systems, and soft computing.


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