Platform service portfolio management (PSPM) of social digitalization platform for cloud-based collaborative product development ecosystem: A structural approach

IF 8 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yuguang Bao , Xianyu Zhang , Zhihua Chen , Tongtong Zhou , Xinguo Ming
{"title":"Platform service portfolio management (PSPM) of social digitalization platform for cloud-based collaborative product development ecosystem: A structural approach","authors":"Yuguang Bao ,&nbsp;Xianyu Zhang ,&nbsp;Zhihua Chen ,&nbsp;Tongtong Zhou ,&nbsp;Xinguo Ming","doi":"10.1016/j.aei.2024.102854","DOIUrl":null,"url":null,"abstract":"<div><div>In the context of digital transformation, social digitalization platform (SDP) emerges and play an important and irreplaceable role in the whole industrial ecosystems. The main value creation purpose of SDP is to develop general technical service portfolios and customized solutions. For SDPs, platform service portfolio management (PSPM) is a really difficult problem. The decision must dynamically respond to the complex external environments of business requirement, technology evolution, and system innovation. The traditional experience-driven decision-making process confuses various factors together, and it is difficult to produce scientific decisions continuously and effectively. To help these platform-kind firms make wise decision, we put forward a novel and practical decision-making methodological framework for PSPM issues. Firstly, a general system architecture model, namely <em>Business-Digitalization-System</em> (BDS) model, is proposed based on system engineering, which helps platform service component identification more refined. Next, the PSPM problem is formalized and modelled as a causal relation graph-based intertwined system analysis procedure. A novel platform service portfolio evaluation method is developed to obtain the priority of the identified service alternatives. The approach can effectively handle the component system importance and its heterogeneous causal interdependencies simultaneously. Meanwhile, the combinatorial manipulation of subjective judgements and objective measure improves the reasonability and efficiency within a multi-stakeholder group. Finally, a case study in the constructive industry is presented and the results of method comparisons show the feasibility and advantages of the methodology.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102854"},"PeriodicalIF":8.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Engineering Informatics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1474034624005020","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

In the context of digital transformation, social digitalization platform (SDP) emerges and play an important and irreplaceable role in the whole industrial ecosystems. The main value creation purpose of SDP is to develop general technical service portfolios and customized solutions. For SDPs, platform service portfolio management (PSPM) is a really difficult problem. The decision must dynamically respond to the complex external environments of business requirement, technology evolution, and system innovation. The traditional experience-driven decision-making process confuses various factors together, and it is difficult to produce scientific decisions continuously and effectively. To help these platform-kind firms make wise decision, we put forward a novel and practical decision-making methodological framework for PSPM issues. Firstly, a general system architecture model, namely Business-Digitalization-System (BDS) model, is proposed based on system engineering, which helps platform service component identification more refined. Next, the PSPM problem is formalized and modelled as a causal relation graph-based intertwined system analysis procedure. A novel platform service portfolio evaluation method is developed to obtain the priority of the identified service alternatives. The approach can effectively handle the component system importance and its heterogeneous causal interdependencies simultaneously. Meanwhile, the combinatorial manipulation of subjective judgements and objective measure improves the reasonability and efficiency within a multi-stakeholder group. Finally, a case study in the constructive industry is presented and the results of method comparisons show the feasibility and advantages of the methodology.
基于云的协作产品开发生态系统的社会数字化平台的平台服务组合管理(PSPM):一种结构性方法
在数字化转型的背景下,社会数字化平台(SDP)应运而生,并在整个工业生态系统中发挥着不可替代的重要作用。SDP 创造价值的主要目的是开发通用技术服务组合和定制解决方案。对于 SDP 来说,平台服务组合管理(PSPM)确实是一个难题。决策必须动态响应业务需求、技术演进和系统创新等复杂的外部环境。传统的经验驱动型决策过程会将各种因素混淆在一起,难以持续有效地做出科学决策。为了帮助这些平台型企业做出明智的决策,我们针对 PSPM 问题提出了一个新颖实用的决策方法框架。首先,提出了基于系统工程的通用系统架构模型,即业务-数字化-系统(BDS)模型,帮助平台服务组件的识别更加精细化。其次,将 PSPM 问题形式化,并将其建模为基于因果关系图的交织系统分析程序。开发了一种新颖的平台服务组合评估方法,以获得已识别服务备选方案的优先级。该方法可同时有效处理组件系统的重要性及其异构因果相互依存关系。同时,主观判断和客观测量的组合操作提高了多利益相关者群体的合理性和效率。最后,介绍了一个建筑行业的案例研究,方法比较结果表明了该方法的可行性和优势。
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 求助全文
来源期刊
Advanced Engineering Informatics
Advanced Engineering Informatics 工程技术-工程:综合
CiteScore
12.40
自引率
18.20%
发文量
292
审稿时长
45 days
期刊介绍: Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信