Artificial intelligence and innovation management: A review, framework, and research agenda

Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and exp...

Full description

Saved in:
Bibliographic Details
Main Authors: Haefner, Naomi, Wincent, Joakim, Parida, Vinit, Gassmann, Oliver
Format: Article
Language:English
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Haefner, Naomi
Wincent, Joakim
Parida, Vinit
Gassmann, Oliver
description Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explain what is important to consider in making the transformation to the digital organization of innovation. We conclude our study by exploring directions for future research.
format article
fullrecord <record><control><sourceid>cristin_3HK</sourceid><recordid>TN_cdi_cristin_nora_11250_2986436</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>11250_2986436</sourcerecordid><originalsourceid>FETCH-cristin_nora_11250_29864363</originalsourceid><addsrcrecordid>eNqNyjEKwkAQQNFtLES9w9hHMIkJahdE8QB2FsuwmY2Dm1mYLMn1DeIBrD583tI8G03s2TEGYEkUAnckjgClnYfEERNHgR4FO-pJ0hkaUBqZpgy8Yk9T1Hf29UoDoboXzFRaXJuFxzDQ5teV2d6uj8t955SHxGIlKto8L6q9LU7H-lDW5T_mA0tGOs0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Artificial intelligence and innovation management: A review, framework, and research agenda</title><source>NORA - Norwegian Open Research Archives</source><creator>Haefner, Naomi ; Wincent, Joakim ; Parida, Vinit ; Gassmann, Oliver</creator><creatorcontrib>Haefner, Naomi ; Wincent, Joakim ; Parida, Vinit ; Gassmann, Oliver</creatorcontrib><description>Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explain what is important to consider in making the transformation to the digital organization of innovation. We conclude our study by exploring directions for future research.</description><language>eng</language><creationdate>2021</creationdate><rights>info:eu-repo/semantics/openAccess</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,26544</link.rule.ids><linktorsrc>$$Uhttp://hdl.handle.net/11250/2986436$$EView_record_in_NORA$$FView_record_in_$$GNORA$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Haefner, Naomi</creatorcontrib><creatorcontrib>Wincent, Joakim</creatorcontrib><creatorcontrib>Parida, Vinit</creatorcontrib><creatorcontrib>Gassmann, Oliver</creatorcontrib><title>Artificial intelligence and innovation management: A review, framework, and research agenda</title><description>Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explain what is important to consider in making the transformation to the digital organization of innovation. We conclude our study by exploring directions for future research.</description><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>3HK</sourceid><recordid>eNqNyjEKwkAQQNFtLES9w9hHMIkJahdE8QB2FsuwmY2Dm1mYLMn1DeIBrD583tI8G03s2TEGYEkUAnckjgClnYfEERNHgR4FO-pJ0hkaUBqZpgy8Yk9T1Hf29UoDoboXzFRaXJuFxzDQ5teV2d6uj8t955SHxGIlKto8L6q9LU7H-lDW5T_mA0tGOs0</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Haefner, Naomi</creator><creator>Wincent, Joakim</creator><creator>Parida, Vinit</creator><creator>Gassmann, Oliver</creator><scope>3HK</scope></search><sort><creationdate>2021</creationdate><title>Artificial intelligence and innovation management: A review, framework, and research agenda</title><author>Haefner, Naomi ; Wincent, Joakim ; Parida, Vinit ; Gassmann, Oliver</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-cristin_nora_11250_29864363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Haefner, Naomi</creatorcontrib><creatorcontrib>Wincent, Joakim</creatorcontrib><creatorcontrib>Parida, Vinit</creatorcontrib><creatorcontrib>Gassmann, Oliver</creatorcontrib><collection>NORA - Norwegian Open Research Archives</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Haefner, Naomi</au><au>Wincent, Joakim</au><au>Parida, Vinit</au><au>Gassmann, Oliver</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Artificial intelligence and innovation management: A review, framework, and research agenda</atitle><date>2021</date><risdate>2021</risdate><abstract>Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explain what is important to consider in making the transformation to the digital organization of innovation. We conclude our study by exploring directions for future research.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_cristin_nora_11250_2986436
source NORA - Norwegian Open Research Archives
title Artificial intelligence and innovation management: A review, framework, and research agenda
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T04%3A33%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-cristin_3HK&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Artificial%20intelligence%20and%20innovation%20management:%20A%20review,%20framework,%20and%20research%20agenda&rft.au=Haefner,%20Naomi&rft.date=2021&rft_id=info:doi/&rft_dat=%3Ccristin_3HK%3E11250_2986436%3C/cristin_3HK%3E%3Cgrp_id%3Ecdi_FETCH-cristin_nora_11250_29864363%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true