Digital and open innovation: Implications for business models and research strategies of private and public organizations

Karl-Heinz Leitner

doi:10.1145/2809563.2809609

Digital and open innovation: Implications for business models and research strategies of private and public organizations

Center for Innovation Systems and Policy

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

While new ways of doing research and innovation such as open science, Science 2.0, user innovation or crowdsourcing have been intensively discussed in the past few years, little systematic analysis and exploration of their wider positive, but also problematic effects for business and science has been done. Based on the findings from two European foresight projects critical aspects of changing research and innovation models and their challenges for research management and policy are discussed. A key challenge for companies, universities and research organizations is to adopt of new business models and define new collaboration strategies.

Original language	English
Title of host publication	i-KNOW '15 Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business
Number of pages	5
DOIs	https://doi.org/10.1145/2809563.2809609
Publication status	Published - 2015
Event	i-KNOW Conference 2015 - Duration: 21 Oct 2015 → 23 Oct 2015

Conference

Conference	i-KNOW Conference 2015
Period	21/10/15 → 23/10/15

Research Field

Former Research Field - Innovation Systems and Policy

Keywords

Open Innovation; Science 2.0; Foresight; Research Policy; Business Models

Access to Document

10.1145/2809563.2809609Licence: Unspecified

Cite this

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title = "Digital and open innovation: Implications for business models and research strategies of private and public organizations",

abstract = "While new ways of doing research and innovation such as open science, Science 2.0, user innovation or crowdsourcing have been intensively discussed in the past few years, little systematic analysis and exploration of their wider positive, but also problematic effects for business and science has been done. Based on the findings from two European foresight projects critical aspects of changing research and innovation models and their challenges for research management and policy are discussed. A key challenge for companies, universities and research organizations is to adopt of new business models and define new collaboration strategies.",

keywords = "Open Innovation; Science 2.0; Foresight; Research Policy; Business Models, Open Innovation; Science 2.0; Foresight; Research Policy; Business Models",

author = "Karl-Heinz Leitner",

year = "2015",

doi = "10.1145/2809563.2809609",

language = "English",

isbn = "978-1-4503-3721-2",

booktitle = "i-KNOW '15 Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business",

note = "i-KNOW Conference 2015 ; Conference date: 21-10-2015 Through 23-10-2015",

}

Digital and open innovation: Implications for business models and research strategies of private and public organizations. / Leitner, Karl-Heinz (Speaker).
i-KNOW '15 Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business. 2015.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

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N2 - While new ways of doing research and innovation such as open science, Science 2.0, user innovation or crowdsourcing have been intensively discussed in the past few years, little systematic analysis and exploration of their wider positive, but also problematic effects for business and science has been done. Based on the findings from two European foresight projects critical aspects of changing research and innovation models and their challenges for research management and policy are discussed. A key challenge for companies, universities and research organizations is to adopt of new business models and define new collaboration strategies.

AB - While new ways of doing research and innovation such as open science, Science 2.0, user innovation or crowdsourcing have been intensively discussed in the past few years, little systematic analysis and exploration of their wider positive, but also problematic effects for business and science has been done. Based on the findings from two European foresight projects critical aspects of changing research and innovation models and their challenges for research management and policy are discussed. A key challenge for companies, universities and research organizations is to adopt of new business models and define new collaboration strategies.

KW - Open Innovation; Science 2.0; Foresight; Research Policy; Business Models

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DO - 10.1145/2809563.2809609

M3 - Conference Proceedings with Oral Presentation

SN - 978-1-4503-3721-2

BT - i-KNOW '15 Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business

T2 - i-KNOW Conference 2015

Y2 - 21 October 2015 through 23 October 2015

ER -

Digital and open innovation: Implications for business models and research strategies of private and public organizations

Abstract

Conference

Research Field

Keywords

Access to Document

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Cite this