数字产品服务系统的发展与未来趋势:文献计量分析方法

IF 3.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Applied System Innovation Pub Date : 2023-09-30 DOI:10.3390/asi6050089
Slavko Rakic, Nenad Medic, Janika Leoste, Teodora Vuckovic, Ugljesa Marjanovic
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引用次数: 1

摘要

作为一项计划,工业4.0鼓励制造企业从传统的产品服务系统转向数字产品服务系统。被称为“数字产品服务系统”的商品、服务和数字技术系统是为了提高消费者满意度和市场上的商业成功而提供的。以前的研究已经为工业公司和学术机构调查了这一领域的各种因素。数字产品服务系统的整体价值和预期增长过程仍然被忽视。作者使用文献计量学分析来组织这一学科的先验知识,更重要的是,确定进一步研究的领域,以弥补文献赤字。本研究给出了该主题中最受尊敬的作者、国家和来源的结果。调查结果还显示,数字化、可持续性和商业等术语在过去一年里越来越受欢迎。这项研究还提供了关于工业5.0(一种新的制造战略)将如何包括数字产品服务系统的见解。最后,本研究的结果证明了制造业企业的三种新的服务取向,即弹性、可持续和以人为中心。
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Development and Future Trends of Digital Product-Service Systems: A Bibliometric Analysis Approach
As a plan, Industry 4.0 encourages manufacturing companies to switch from conventional Product-Service Systems to Digital Product-Service Systems. Systems of goods, services, and digital technologies known as “Digital Product-Service Systems” are provided to improve consumer satisfaction and business success in the marketplace. Previous studies have looked into various elements of this area for industrial companies and academic institutions. Digital Product-Service Systems’ overall worth and expected course of growth are still ignored. The authors use bibliometric analysis to organize the body of prior knowledge in this discipline and, more significantly, to identify areas for further study in order to cover the literature deficit. The results of the most esteemed authors, nations, and sources in the subject were given by this study. The findings also show that terms like digitization, sustainability, and business have grown in popularity over the previous year. This study also offered insight into how Industry 5.0, a new manufacturing strategy, would include Digital Product-Service Systems. Finally, the findings of this research demonstrate three new service orientations, namely resilient, sustainable, and human-centric, in manufacturing firms.
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来源期刊
Applied System Innovation
Applied System Innovation Mathematics-Applied Mathematics
CiteScore
7.90
自引率
5.30%
发文量
102
审稿时长
11 weeks
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