Purpose

The present study is aimed to determine the infoecology of scientific articles in the field of smart manufacturing (SM). The researchers designed a general framework for the investigation of infoecology.

Design/methodology/approach

The qualitative and quantitative data collection methods are applied to collect data from the Scopus and experts. The bibliometric technique, clustering and graph mining are applied to analysis data by Scopus data analysis tools, VOSviewer and Excel software.

Findings

It is concluded that researchers paid attention to “Flow Control”, “Embedded Systems”, “IoT”, “Big Data” and “Cyber-Physical System” more than other infocenose. Finally, a thematic model presented based on the infoecology of SM in Scopus for future studies. Also, as future work, designing a “research-related” metamodel for SM would be beneficial for the researchers, to highlight the main future research directions.

Practical implications

The results of the present study can be applied to the following issues: (1) To make decisions based on research and scientific evidence and conduct scientific research on real needs and issues in the field of SM, (2) Holding the workshops on infoecology to determine research priorities with the presence of experts in related industries, (3) Determining the most important areas of research in order to improve the index of applied research, (4) Assist in prioritizing research in the field of SM to select a set of research and technological activities and allocate resources effectively to these activities, (5) Helping to increase the relationship between research and technological activities with the economic and long-term goals of industry and society, (6) Helping to prioritize the issues of SM in research and technology in order to target the allocation of financial and human capital and solving the main challenges and take advantage of opportunities, (7) Helping to avoid fragmentation of work and providing educational infrastructure based on prioritized research needs and (8) Helping to hold start-ups and the activities of knowledge-based companies based on research priorities in the field of SM.

Originality/value

The analysis results demonstrated that the information ecosystem of SM studies dynamically developed over time. The continuous conduction flow of scientific studies in this field brought continuous changes into the infoecology of this field.

中文翻译：

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智能制造领域的信息生态研究

目的

本研究旨在确定智能制造 (SM) 领域科学文章的信息生态学。研究人员为信息生态学研究设计了一个通用框架。

设计/方法/方法

定性和定量数据收集方法用于从 Scopus 和专家收集数据。通过Scopus数据分析工具、VOSviewer和Excel软件，将文献计量技术、聚类和图形挖掘应用于分析数据。

发现

得出的结论是，研究人员对“流量控制”、“嵌入式系统”、“物联网”、“大数据”和“信息物理系统”的关注程度高于其他信息科学。最后，基于Scopus中SM的信息生态学提出了一个主题模型，以供未来研究。此外，作为未来的工作，为 SM 设计一个“与研究相关的”元模型将有利于研究人员，突出未来的主要研究方向。

实际影响

本研究的结果可应用于以下问题：（1）根据研究和科学证据做出决策，并对 SM 领域的实际需求和问题进行科学研究，（2）举办信息生态学研讨会与相关行业专家共同确定研究重点，（3）确定最重要的研究领域，以提高应用研究指标，（4）协助对SM领域的研究进行优先排序，选择一组研究(5) 帮助增加研究和技术活动与工业和社会的经济和长期目标之间的关系，(6) 帮助优先考虑 SM 在研究和技术方面的问题，以便有针对性地配置财务和人力资本，解决主要挑战并抓住机遇， (7) 帮助避免工作分散并提供基于教育基础设施的(8) 根据 SM 领域的研究重点，帮助举办初创企业和知识型公司的活动。

原创性/价值

分析结果表明，SM研究的信息生态系统随着时间的推移而动态发展。该领域科学研究的不断传导，给该领域的信息生态带来了不断的变化。