从成熟的ERP系统到以流程为中心的业务流程平台

Lukas Böhme, Tobias Wuttke, Ralf Teusner, Michael Perscheid, Sebastian Baltes, Christoph Matthies, Benedict Bender
{"title":"从成熟的ERP系统到以流程为中心的业务流程平台","authors":"Lukas Böhme, Tobias Wuttke, Ralf Teusner, Michael Perscheid, Sebastian Baltes, Christoph Matthies, Benedict Bender","doi":"arxiv-2306.02995","DOIUrl":null,"url":null,"abstract":"Enterprise Resource Planning (ERP) systems are critical to the success of\nenterprises, facilitating business operations through standardized digital\nprocesses. However, existing ERP systems are unsuitable for startups and small\nand medium-sized enterprises that grow quickly and require adaptable solutions\nwith low barriers to entry. Drawing upon 15 explorative interviews with\nindustry experts, we examine the challenges of current ERP systems using the\ntask technology fit theory across companies of varying sizes. We describe high\nentry barriers, high costs of implementing implicit processes, and insufficient\ninteroperability of already employed tools. We present a vision of a future\nbusiness process platform based on three enablers: Business processes as\nfirst-class entities, semantic data and processes, and cloud-native elasticity\nand high availability. We discuss how these enablers address current ERP\nsystems' challenges and how they may be used for research on the next\ngeneration of business software for tomorrow's enterprises.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"42 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From Full-fledged ERP Systems Towards Process-centric Business Process Platforms\",\"authors\":\"Lukas Böhme, Tobias Wuttke, Ralf Teusner, Michael Perscheid, Sebastian Baltes, Christoph Matthies, Benedict Bender\",\"doi\":\"arxiv-2306.02995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Enterprise Resource Planning (ERP) systems are critical to the success of\\nenterprises, facilitating business operations through standardized digital\\nprocesses. However, existing ERP systems are unsuitable for startups and small\\nand medium-sized enterprises that grow quickly and require adaptable solutions\\nwith low barriers to entry. Drawing upon 15 explorative interviews with\\nindustry experts, we examine the challenges of current ERP systems using the\\ntask technology fit theory across companies of varying sizes. We describe high\\nentry barriers, high costs of implementing implicit processes, and insufficient\\ninteroperability of already employed tools. We present a vision of a future\\nbusiness process platform based on three enablers: Business processes as\\nfirst-class entities, semantic data and processes, and cloud-native elasticity\\nand high availability. We discuss how these enablers address current ERP\\nsystems' challenges and how they may be used for research on the next\\ngeneration of business software for tomorrow's enterprises.\",\"PeriodicalId\":501310,\"journal\":{\"name\":\"arXiv - CS - Other Computer Science\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Other Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2306.02995\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Other Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2306.02995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

企业资源规划(ERP)系统对企业的成功至关重要,通过标准化的数字化流程促进业务运营。然而,现有的ERP系统不适合快速成长的初创企业和中小型企业,需要适应性强、进入门槛低的解决方案。通过对行业专家的15次探索性访谈,我们在不同规模的公司中使用任务技术匹配理论来研究当前ERP系统的挑战。我们描述了高入门门槛,实现隐式过程的高成本,以及已经使用的工具的互操作性不足。我们提出了一个基于三个使能因素的未来业务流程平台的愿景:作为一级实体的业务流程、语义数据和流程、云原生弹性和高可用性。我们将讨论这些促成因素如何解决当前erp系统的挑战,以及如何将它们用于研究面向未来企业的下一代业务软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
From Full-fledged ERP Systems Towards Process-centric Business Process Platforms
Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine the challenges of current ERP systems using the task technology fit theory across companies of varying sizes. We describe high entry barriers, high costs of implementing implicit processes, and insufficient interoperability of already employed tools. We present a vision of a future business process platform based on three enablers: Business processes as first-class entities, semantic data and processes, and cloud-native elasticity and high availability. We discuss how these enablers address current ERP systems' challenges and how they may be used for research on the next generation of business software for tomorrow's enterprises.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Artificial Intelligence-based Smart Port Logistics Metaverse for Enhancing Productivity, Environment, and Safety in Port Logistics: A Case Study of Busan Port Evaluating the Usability of Qualified Electronic Signatures: Systematized Use Cases and Design Paradigms A Brief Discussion on the Philosophical Principles and Development Directions of Data Circulation Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach A Match Made in Semantics: Physics-infused Digital Twins for Smart Building Automation
×
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