Capturing Location in Process Models

Author:

Gopalakrishnan Sundar1,Krogstie John1,Sindre Guttorm1

Affiliation:

1. Norwegian University of Science and Technology, Norway

Abstract

For mobile and multi-channel information systems it is often relevant to model where something is supposed to take place. Traditional business process modeling notations seldom capture location. Examining if there might be any gain in extending mainstream modeling notations with the capture of location is an interesting research topic. This paper addresses this question both through an analytical comparison of various notation alternatives and two experiments investigating different ways of visualizing location. The results of the experiments indicate that the notation using color for distinguishing different places have advantage over textual annotations, whereas no significant difference was found between the use color and pattern fills when it came to the subjects’ performance solving the experimental tasks.

Publisher

IGI Global

Subject

Management of Technology and Innovation,Information Systems

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Understanding and Assessing Quality of Models and Modeling Languages;Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction;2019

2. Understanding and Assessing Quality of Models and Modeling Languages;Encyclopedia of Information Science and Technology, Fourth Edition;2018

3. Use Case Diagrams for Mobile and Multi-channel Information Systems: Experimental Comparison of Colour and Icon Annotations;Enterprise, Business-Process and Information Systems Modeling;2016

4. Introduction to Business Processes and Business Process Modeling;Quality in Business Process Modeling;2016

5. ValueApping: An Analysis Method to Identify Value-Adding Mobile Enterprise Apps in Business Processes;Enterprise Information Systems;2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3