Business Process Model and Notation

About: Business Process Model and Notation is a research topic. Over the lifetime, 9038 publications have been published within this topic receiving 190712 citations. The topic is also known as: Business Process Modeling Notation & BPMN.

E Role-based Decomposition of Business Processes using BPEL

Abstract: This paper addresses role-based decomposition of a business process model (based on a subset of WS-BPEL, using explicit data link)s. A mechanism is presented for partitioning a business process so that each partition can be enacted by a different participant. An important goal is to disconnect the partitioning itself from the design of the business process, simplifying the reassignment of activities to different entities. The result is several (compliant) BPEL processes, one for each participant, as well as the information needed to wire them together at deployment time and ensuring correct instance-level connections at runtime. We present details of partitioning and successfully running a sample process with three participants.

Taxonomy of Flexibility in Business Processes.

Abstract: Gil Regev, Pnina Soffer, Rainer Schmidt The aim of this working paper is to suggest a taxonomy of flexibility in business processes. The taxonomy should be generic. Hence, it relies on a minimal set of assumptions. We consider business processes as the dynamic aspect of an organization. Business processes can be addressed using the two layers of instance, and type. A process instance layer is an actual occurrence in the organization. The process type layer aggregates the instances as a template they all should fit. Business process flexibility Flexibility is the ability to yield to change without disappearing, i.e. without losing identity [ReWe05]. A business process is flexible if it is possible to change it without replacing it completely. Business process flexibility [Bide05], [Soff05], [Schm05] is the capability to implement changes in the business process type and instances by changing only those parts that need to be changed and keeping other parts stable.

An Efficient Recommendation Method for Improving Business Process Modeling

Abstract: In modern commerce, both frequent changes of custom demands and the specialization of the business process require the capacity of modeling business processes for enterprises effectively and efficiently. Traditional methods for improving business process modeling, such as workflow mining and process retrieval, still requires much manual work. To address this, based on the structure of a business process, a method called workflow recommendation technique is proposed in this paper to provide process designers with support for automatically constructing the new business process that is under consideration. In this paper, with the help of the minimum depth-first search (DFS) codes of business process graphs, we propose an efficient method for calculating the distance between process fragments and select candidate node sets for recommendation purpose. In addition, a recommendation system for improving the modeling efficiency and accuracy was implemented and its implementation details are discussed. At last, based on both synthetic and real-world datasets, we have conducted experiments to compare the proposed method with other methods and the experiment results proved its effectiveness for practical applications.

How Does Business Analytics Contribute to Business Value

Abstract: This paper presents a model, synthesized from the literature, of factors that explain how business analytics contributes to business value. It also reports results from a preliminary assessment of that model. The model consists of two parts: a process and a variance model. The process model depicts the analyze-insight-decision-action process through which use of an organization's business analytic capabilities is intended to create business value. The variance model proposes that the five factors in Davenport et al.'s DELTA model of business analytics success factors, six from Watson & Wixom and three from Seddon et al.'s model of organizational benefits from enterprise systems, assist a firm to gain business value from business analytics. A preliminary assessment of the model was conducted using data from 100 customer success stories from vendors such as IBM, SAP and Teradata. Our conclusion is that the business analytics success model is likely to be a useful basis for future research.