Digitalisation and inter-organisational information exchange strategies of German companies—A survey with focus on small and medium sized enterprises

IF 2.5 Q2 ENGINEERING, INDUSTRIAL IET Collaborative Intelligent Manufacturing Pub Date : 2023-10-10 DOI:10.1049/cim2.12082
Laura Sophie Thiele, Diana Peters
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Abstract

The reliability of well-performing production processes not only depends on internal but also on external factors in the upstream supply chain. Therefore, companies require fast and reliable information exchange with cooperating organisations. Since existing researches usually put focus on reviewing intra-organisational solutions, the authors have conducted a survey to capture the current state and needs regarding the inter-organisational information exchange between German companies. The main outcomes of the authors’ survey are outlined. In a first step, the current status of digitalisation in the companies is analysed. The authors have found that the use and implementation of modern methods correlates positively with the company size. Taking a look on the current methods for inter-organisational information exchange in a second step, it is seen that only a few companies are completely satisfied with their current methods. Companies see the greatest potential for the improvement of information exchange in standardisation and the increase of required resources. This indicates that companies would be best supported by the development of solutions that can be implemented easily and help to form the heterogeneous landscape of data exchange strategies towards a structured, standardised way.

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德国企业的数字化与组织间信息交流策略——一项针对中小企业的调查
良好生产流程的可靠性不仅取决于上游供应链中的内部因素,还取决于外部因素。因此,公司需要与合作组织进行快速可靠的信息交换。由于现有研究通常侧重于审查组织内解决方案,作者进行了一项调查,以了解德国公司之间组织间信息交流的现状和需求。概述了作者调查的主要结果。第一步,分析了这些公司数字化的现状。作者发现,现代方法的使用和实施与公司规模呈正相关。第二步,看看目前组织间信息交流的方法,可以发现只有少数公司对目前的方法完全满意。公司看到了在标准化和增加所需资源方面改善信息交换的最大潜力。这表明,开发易于实施的解决方案将为公司提供最佳支持,并有助于形成结构化、标准化的数据交换战略的异构格局。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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