Business Process Data Flow between Automated and Human Tasks

Purpose – Context-awareness has emerged as an important principle in the design of flexible business processes. The goal of the research is to develop an approach to extend context-aware business process modeling toward location-awareness. The purpose of this paper is to identify and conceptualize location-dependencies in process modeling. Design/methodology/approach – This paper uses a pattern-based approach to identify location-dependency in process models. The authors design specifications for these patterns. The authors present illustrative examples and evaluate the identified patterns through a literature review of published process cases. Findings – This paper introduces location-awareness as a new perspective to extend context-awareness in BPM research, by introducing relevant location concepts such as location-awareness and location-dependencies. The authors identify five basic location-dependent control-flow patterns that can be captured in process models. And the authors identify location-dependencies in several existing case studies of business processes. Research limitations/implications – The authors focus exclusively on the control-flow perspective of process models. Further work needs to extend the research to address location-dependencies in process data or resources. Further empirical work is needed to explore determinants and consequences of the modeling of location-dependencies. Originality/value – As existing literature mostly focusses on the broad context of business process, location in process modeling still is treated as “second class citizen” in theory and in practice. This paper discusses the vital role of location-dependencies within business processes. The proposed five basic location-dependent control-flow patterns are novel and useful to explain location-dependency in business process models. They provide a conceptual basis for further exploration of location-awareness in the management of business processes.

Download Full-text

Interactive Poster: Visual Mining of Business Process Data

IEEE Symposium on Information Visualization ◽

10.1109/infvis.2004.41 ◽

2005 ◽

Author(s):

M.C. Hao ◽

D.A. Keim ◽

U. Dayal ◽

J. Schneidewind

Keyword(s):

Business Process ◽

Process Data

Download Full-text

A framework for Business Process Data Management based on Big Data Approach

Procedia Computer Science ◽

10.1016/j.procs.2017.11.096 ◽

2017 ◽

Vol 121 ◽

pp. 740-747 ◽

Cited By ~ 3

Author(s):

Asma Hassani ◽

Sonia Ayachi Gahnouchi

Keyword(s):

Big Data ◽

Data Management ◽

Business Process ◽

Process Data

Download Full-text

Formulating the Data-Flow Perspective for Business Process Management

Information Systems Research ◽

10.1287/isre.1060.0105 ◽

2006 ◽

Vol 17 (4) ◽

pp. 374-391 ◽

Cited By ~ 132

Author(s):

Sherry X. Sun ◽

J. Leon Zhao ◽

Jay F. Nunamaker ◽

Olivia R. Liu Sheng

Keyword(s):

Business Process ◽

Business Process Management ◽

Process Management ◽

Data Flow

Download Full-text

Improving Business Processes by Visual Workflow Platform

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.204-210.1051 ◽

2011 ◽

Vol 204-210 ◽

pp. 1051-1056

Author(s):

Lang Cai Cao ◽

Jian Luo

Keyword(s):

Business Process ◽

Business Processes ◽

Business Environment ◽

Work Efficiency ◽

Process Data ◽

Business Units ◽

High Level ◽

Share Information ◽

Track Status ◽

Current Business

With ever-changing and fast-changing in current business environment, traditional business process is more and more incapable to meet the demand to share information, visualize both high-level and detailed process data, track status and expedite business processes. To address these challenges, the visual workflow platform is introduced. As proven by an industrial case, the workflow platform can greatly help business units to improve work efficiency.

Download Full-text