Nina Bozic Yams, Valerie J. Richardson, Galina Esther Shubina, S. Albrecht, D. Gillblad
{"title":"Integrated AI and Innovation Management: The Beginning of a Beautiful Friendship","authors":"Nina Bozic Yams, Valerie J. Richardson, Galina Esther Shubina, S. Albrecht, D. Gillblad","doi":"10.22215/timreview/1399","DOIUrl":null,"url":null,"abstract":"Traditionally, for complex issues such as sustainability or general-purpose technologies like AI, frameworks are used to create structure and to decompose aspects into specific categories and maturity stages. These frameworks serve an essential role in educating management, creating clarity, improving the ability to act, and accelerating adoption. A number of AI maturity frameworks have been published (see Figure 1) that typically cover specific aspects of AI integration in business, but do not holistically integrate the technical, organisational, and ethical aspects in a comprehensive way. In this paper, we propose an AI Innovation Maturity Index (AIMI) as an attempt to rectify this.","PeriodicalId":51569,"journal":{"name":"Technology Innovation Management Review","volume":"10 1","pages":"5-18"},"PeriodicalIF":1.6000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology Innovation Management Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22215/timreview/1399","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: 14
Abstract
Traditionally, for complex issues such as sustainability or general-purpose technologies like AI, frameworks are used to create structure and to decompose aspects into specific categories and maturity stages. These frameworks serve an essential role in educating management, creating clarity, improving the ability to act, and accelerating adoption. A number of AI maturity frameworks have been published (see Figure 1) that typically cover specific aspects of AI integration in business, but do not holistically integrate the technical, organisational, and ethical aspects in a comprehensive way. In this paper, we propose an AI Innovation Maturity Index (AIMI) as an attempt to rectify this.
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