Platform-based support for AI uptake by SMEs: guidelines to design service bundles

IF 1.3 Q3 MANAGEMENT Central European Management Journal Pub Date : 2023-10-13 DOI:10.1108/cemj-08-2022-0096
Bartlomiej Gladysz, Davide Matteri, Krzysztof Ejsmont, Donatella Corti, Andrea Bettoni, Rodolfo Haber Guerra
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Abstract

Purpose Manufacturing small and medium-sized enterprises (SMEs) have already noticed the tangible benefits offered by artificial intelligence (AI). Several approaches have been proposed with a view to support them in the processes entailed in this innovation path. These include multisided platforms created to enable the connection between SMEs and AI developers, making it easier for them to network each other. While such platforms are complex, they facilitate simultaneous interaction with several stakeholders and reaching out to new potential users (both SMEs and AI developers), through a collaboration with supporting ecosystems such as digital innovation hubs (DIHs). Design/methodology/approach Mixed methods were used. The literature review was performed to identify the existing approaches within and outside the manufacturing domain. Computer-assisted telephonic (in-depth) interviewing , was conducted to include perspectives of AI platform stakeholders and collect primary data from various European countries. Findings Several challenges and barriers for AI platform stakeholders were identified alongside the corresponding best practices and guidelines on how to address them. Originality/value An effective approach was proposed to provide support to the industrial platform managers in this field, by developing guidelines and best practices on how a platform should build its services to support the ecosystem.
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中小企业采用AI的基于平台的支持:设计服务包的指导方针
制造业中小企业(SMEs)已经注意到人工智能(AI)带来的实实在在的好处。已经提出了若干办法,以期在这条创新道路所涉及的进程中支持它们。其中包括为中小企业和人工智能开发者之间建立联系而创建的多边平台,使他们更容易相互联系。虽然这些平台很复杂,但它们通过与数字创新中心(DIHs)等支持生态系统的合作,促进了与多个利益相关者的同时互动,并接触到新的潜在用户(包括中小企业和人工智能开发者)。设计/方法/方法采用混合方法。进行文献综述以确定制造领域内外的现有方法。进行了计算机辅助电话(深度)访谈,以包括人工智能平台利益相关者的观点,并收集来自欧洲各国的原始数据。研究结果确定了人工智能平台利益相关者面临的一些挑战和障碍,以及如何解决这些挑战和障碍的相应最佳实践和指导方针。提出了一种有效的方法,通过制定关于平台如何构建其服务以支持生态系统的指导方针和最佳实践,为该领域的工业平台管理者提供支持。
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
CiteScore
2.20
自引率
11.10%
发文量
21
审稿时长
24 weeks
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