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
{"title":"Platform-based support for AI uptake by SMEs: guidelines to design service bundles","authors":"Bartlomiej Gladysz, Davide Matteri, Krzysztof Ejsmont, Donatella Corti, Andrea Bettoni, Rodolfo Haber Guerra","doi":"10.1108/cemj-08-2022-0096","DOIUrl":null,"url":null,"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.","PeriodicalId":40276,"journal":{"name":"Central European Management Journal","volume":"14 1","pages":"0"},"PeriodicalIF":1.3000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Management Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/cemj-08-2022-0096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.20
自引率
11.10%
发文量
21
审稿时长
24 weeks
期刊最新文献
Challenges of the MSE sector in the digital economy in Poland and Ukraine: comparative and statistical analysis Do the young employees perceive themselves as digitally competent and does it matter? Listing switch and financial performance of companies: evidence from the Warsaw Stock Exchange Metaverse technologies in product management, branding and communications: virtual and augmented reality, artificial intelligence, non-fungible tokens and brain-computer interface Poland–USA sectoral trade balances: regime shifts and the nonlinear impact of currency fluctuations
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1