<p>In electronic commerce, systems development is based on two fundamental types of models, business models and process models. A business model is concerned with value exchanges among business partners, while a process model focuses on operational and procedural aspects of business communication. Thus, a business model defines the what in an e-commerce system, while a process model defines the <i>how</i>. Business process design can be facilitated and improved by a method for systematically moving from a business model to a process model. Such a method would provide support for traceability, evaluation of design alternatives, and seamless transition from analysis to realization. This work proposes a unified framework that can be used as a basis to analyze, to interpret and to understand different concepts associated at different stages in e-Commerce system development. In this thesis, we illustrate how UN/CEFACT’s recommended metamodels for business and process design can be analyzed, extended and then integrated for the final solutions based on the proposed unified framework. Also, as an application of the framework, we demonstrate how process-modeling tasks can be facilitated in e-Commerce system design. The proposed methodology, called BP<sup>3</sup> stands for Business Process Patterns Perspective. The BP<sup>3</sup> methodology uses a question-answer interface to capture different business requirements from the designers. It is based on pre-defined process patterns, and the final solution is generated by applying the captured business requirements by means of a set of production rules to complete the inter-process communication among these patterns.</p>
| Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:su-219 |
| Date | January 2004 |
| Creators | Jayaweera, Prasad M. |
| Publisher | Stockholm University, Department of Computer and Systems Sciences (together with KTH), Kista : Institutionen för data- och systemvetenskap (tills m KTH) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Doctoral thesis, monograph, text |
| Relation | Report Series / Department of Computer & Systems Sciences, 1101-8526 ; 04-011 |
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