Overcoming the knowledge gaps in early-stage servitization journey: A guide for small and medium enterprises

IF 2.5 Q2 ENGINEERING, INDUSTRIAL IET Collaborative Intelligent Manufacturing Pub Date : 2024-07-12 DOI:10.1049/cim2.12106
Mario Rapaccini, Federico Adrodegari, Giuditta Pezzotta, Nicola Saccani
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Abstract

Although the move to more service-oriented business can be beneficial even to smaller firms, servitization in SMEs remains a largely unexplored topic. The authors contribute to fill this gap exploring how SMEs can overcome the knowledge gaps of servitization faced by companies in the early-stages of this journey. By combining systematic literature review and expert panel methodology, the authors identify three knowledge gaps that hinder servitization initiatives in SMEs and propose a set of managerial recommendations to tackle with these gaps. In particular, the authors suggest a structured plan of recommendations, and point out how each stakeholder can contribute to fill the mentioned gaps. The proposed actions are specifically suggested for SMEs and focus on greater engagement of internal and external stakeholders. In addition to contributing to the domain scientific research on servitization, the authors therefore respond to the call for application-oriented research.

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克服早期服务化历程中的知识差距:中小企业指南
尽管转向更加以服务为导向的业务对小型企业也有好处,但中小型企业的服务化在很大程度上仍是一个尚未探索的课题。作者致力于填补这一空白,探讨中小企业如何克服企业在服务化初期所面临的知识差距。通过结合系统的文献综述和专家小组方法,作者发现了阻碍中小企业服务化举措的三个知识差距,并提出了一系列管理建议来解决这些差距。特别是,作者提出了一个结构化的建议计划,并指出了每个利益相关者如何才能为弥补上述差距做出贡献。建议采取的行动专门针对中小企业,重点是加强内部和外部利益相关者的参与。因此,除了为服务化领域的科学研究做出贡献外,作者还响应了以应用为导向的研究号召。
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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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