A reference information systems architecture for collaborative condition monitoring

IF 4.1 4区管理学 Q3 BUSINESS

Information Systems and e-Business Management Pub Date : 2026-02-02 DOI:10.1007/s10257-026-00716-x

Philipp Hagenhoff, Anna Gieß, Frederik Möller, Boris Otto

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引用次数: 0

Abstract

Collaborative Condition Monitoring (CCM) is a novel type of service in manufacturing industries that helps organizations improve machine performance by sharing and analyzing machine data across organizational boundaries. This service requires organizations to share data, and they require data infrastructure that accommodates their organizational and technical requirements. For instance, sharing data with other organizations implies a necessity for implementing data sovereignty policies that help data providers retain control of their data. Data spaces are a prominent type of data infrastructure that serves precisely this purpose – enabling data sharing while upholding data sovereignty and mitigating typical concerns. In this paper, we present a reference architecture for data spaces enabling CCM services. We pursue a design science research approach and integrate edge and cloud layers for seamless data sharing and analysis. With this, we provide (a) a framework that guides CCM data space implementation and (b) an abstract model that is transferable to multiple scenarios.

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协同状态监测的参考信息系统体系结构

协同状态监测（CCM）是制造业中的一种新型服务，它通过跨组织边界共享和分析机器数据来帮助组织提高机器性能。此服务要求组织共享数据，并且需要能够满足其组织和技术需求的数据基础设施。例如，与其他组织共享数据意味着有必要实现数据主权策略，帮助数据提供者保持对其数据的控制。数据空间是一种突出的数据基础设施类型，它正好服务于这一目的——支持数据共享，同时维护数据主权并减轻典型问题。在本文中，我们提出了一个支持CCM服务的数据空间参考体系结构。我们追求设计科学的研究方法，并整合边缘和云层，实现无缝的数据共享和分析。有了这个，我们提供了(a)一个指导CCM数据空间实现的框架和(b)一个可转移到多个场景的抽象模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Information Systems and e-Business Management Multiple-

CiteScore

6.20

自引率

11.10%

发文量

期刊介绍： Nowadays, in the age of information technology and the internet, the creation and maintenance of business models has to consider the latest developments in information technology to ensure competitiveness and long-term success of the enterprise. The aim of Information Systems Management (ISM) is to integrate information technology into business models and business processes to explore its potential to meet the business goals. Many international journals in the field of information systems (IS) or information management (IM) focus primarily on the quantitative analysis of information systems phenomena, especially through the use of empirical studies. However, research on qualitative analysis, development, and deployment of information systems is not covered sufficiently by the existing international IS journals. Therefore, the journal Information Systems and e-Business Management (ISeB) focuses on the core tasks of Information Systems Management, the conceptual analysis, design, and deployment of information systems, as well as on all e-business related topics. 1. Editorial objective The central aim of the journal ISeB is to publish original, well-written, self-contained contributions that elucidate novel research and innovation in information systems management and e-business which advance the field fundamentally and significantly. Published quarterly, the journal will: - Provide a vibrant forum for both academicians and industry specialists to explore the information systems and e-business management field - Bring innovative research on all aspects of information systems management from analytical, behavioral and technological perspectives - Enable rapid dissemination of latest research and innovation, supported with a double-blind peer review process. 2. Nature of topics The function of information systems management is the use of information technology (IT) to meet the information requirements of a company. Core tasks of ISM are the generation of project ideas (e.g. identification of business opportunities enabled by new information technologies), conceptual analysis, design, and integration of information systems. Submissions to ISeB should have a clear business focus and use appropriate information systems methodologies. They should either be founded on theory or should have proven their value based on prototypes and their beneficial application in the field. The general applicability of the concepts presented is strictly required. Case studies are welcome, if the insights presented allow general applicability. Moreover, empirical studies are welcome if clear research questions with relevance to the field of information systems and e-business management are given and the studies are carried out correctly. ISeB topics focus on (but are not restricted to) the following areas: - Information Modeling: The central task of information systems modeling is the conceptual specification of information systems from the business point of view. Information modeling includes the development or the application of high-level modeling techniques used for conceptual modeling, e.g. event-driven process chain (EPC) for process modeling, entity-relationship model (ERM) for data modeling, and object-oriented methods like the unified modeling language (UML). - Domain-Specific Information Systems: Different industry domains (e.g. manufacturing, retailing, or finance) are characterized by different requirements to information systems that are reflected in different IS architectures for specific domains. The development and maintenance of information systems in an industry domain can be supported by these architectures. Either the development of generalizable domain-specific architectures or the employment of such architectures in practice can be discussed. - E-Business Management (intra-organization al and inter-organizational information systems): Possible sub-topics include the development and deployment of IS for electronic commerce and supply chain management, market places, new business scenarios enabled through new technologies. Based on a business strategy, submissions have to clearly state how the strategy can be operationalized using IS. - Information Systems Development: The development and deployment of large-scale IS (e.g. enterprise resource planning software) requires the use of appropriate software engineering methodologies, procedure models, and project management. Possible research areas are the development of software engineering methodologies, procedure models, and the design of project management methods. Empirical studies on IS development may focus on the application of well-founded methods in practice. - Information Technology Management: The function of information technology management is the provision and operation of the technical infrastructure and the planning of the technical orientation of information systems in an enterprise. An important aspect is the impact of changing information systems on organizational structures and processes – and vice versa. In this context, the use of information technology to realize a business strategy efficiently can be analyzed. - Latest Information Technology Developments: Latest developments in information technology have to be evaluated to explore potentials to generate new business strategies. Current topics and trends to be evaluated for business use are e.g. business intelligence systems, agent technology, and workflow management systems. Officially cited as: Inf Syst E-Bus Manage