Facilitating the comprehension of business process models for unexperienced modelers using token-based animations

IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information & Management Pub Date : 2024-04-28 DOI:10.1016/j.im.2024.103967
Ilia Maslov, Stephan Poelmans
{"title":"Facilitating the comprehension of business process models for unexperienced modelers using token-based animations","authors":"Ilia Maslov,&nbsp;Stephan Poelmans","doi":"10.1016/j.im.2024.103967","DOIUrl":null,"url":null,"abstract":"<div><p>Process models are structured representations of workflows in an organization that provide a powerful tool for facilitating communication and process redesign or improvement. Model comprehension is challenging for beginning modelers. This study scrutinizes the effect of token-animated process models on novice modelers’ comprehension in an experiment with 229 participants. The study is grounded in the theory of distributed cognition as well as other cognition theories. The results confirm the significant impact of token-animated models on comprehension. Several individual characteristics were found to be important as well. Given that the animations were well accepted, token animation can be considered a resourceful technique for pragmatic and educational purposes.</p></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"61 5","pages":"Article 103967"},"PeriodicalIF":8.2000,"publicationDate":"2024-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378720624000491","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Process models are structured representations of workflows in an organization that provide a powerful tool for facilitating communication and process redesign or improvement. Model comprehension is challenging for beginning modelers. This study scrutinizes the effect of token-animated process models on novice modelers’ comprehension in an experiment with 229 participants. The study is grounded in the theory of distributed cognition as well as other cognition theories. The results confirm the significant impact of token-animated models on comprehension. Several individual characteristics were found to be important as well. Given that the animations were well accepted, token animation can be considered a resourceful technique for pragmatic and educational purposes.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用基于标记的动画,帮助没有经验的建模人员理解业务流程模型
流程模型是组织中工作流程的结构化表示,是促进沟通和流程重新设计或改进的有力工具。对于初学建模者来说,理解模型是一项挑战。本研究在一项有 229 名参与者参加的实验中,仔细研究了令牌动画流程模型对新手建模者理解能力的影响。研究以分布式认知理论和其他认知理论为基础。结果证实了令牌动画模型对理解能力的重大影响。研究还发现了一些重要的个体特征。鉴于动画被广泛接受,令牌动画可被视为一种用于实用和教育目的的有用技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Information & Management
Information & Management 工程技术-计算机:信息系统
CiteScore
17.90
自引率
6.10%
发文量
123
审稿时长
1 months
期刊介绍: Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.
期刊最新文献
Cutting corners as a coping strategy in information technology use: Unraveling the mind's dilemma Cybersecurity end-user compliance: Password management versus update compliance Towards new frontiers: How attainment discrepancy affects exploratory behavior in crowdfunding What drives users to tip? The impact of contributor experience, content length, and content type on online video sharing platforms An ensemble deep learning model for fast classification of Twitter spam
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1