Artificial intelligence
Building blocks and an innovation typology
Document identifier: oai:DiVA.org:ltu-77124
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10.1016/j.bushor.2019.10.004Keyword: Social Sciences,
Economics and Business,
Business Administration,
Samhällsvetenskap,
Ekonomi och näringsliv,
Företagsekonomi,
Artificial intelligence,
Machine learning,
Disruptive innovation,
Product development,
Decision making,
Strategic planning,
Situational awareness,
Industrial Marketing,
Industriell marknadsföringPublication year: 2020Relevant Sustainable Development Goals (SDGs):
The SDG label(s) above have been assigned by OSDG.aiAbstract: The range of topics and the opinions expressed on artificial intelligence (AI) are so broad that clarity is needed on the the field’s central tenets, the opportunities AI presents, and the challenges it poses. To that end, we provide an overview of the six building blocks of artificial intelligence: structured data, unstructured data, preprocesses, main processes, a knowledge base, and value-added information outputs. We then develop a typology to serve as an analytic tool for managers grappling with AI’s influence on their industries. The typology considers the effects of AI-enabled innovations on two dimensions: the innovations’ boundaries and their effects on organizational competencies. The typology’s first dimension distinguishes between product-facing innovations, which influence a firm’s offerings, and process-facing innovations, which influence a firm’s operations. The typology’s second dimension describes innovations as either competence-enhancing or competence-destroying; the former enhances current knowledge and skills, whereas the latter renders existing skills and knowledge obsolete. This framework lets managers evaluate their markets, the opportunities within them, and the threats arising from them, providing valuable background and structure to important strategic decisions.
Authors
Ulrich Paschen
Luleå tekniska universitet; Industriell Ekonomi
Other publications
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Christine Pitt
Royal Institute of Technology (KTH), Stockholm, Sweden
Other publications
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Jan Kietzmann
University of Victoria, Victoria, BC, Canada
Other publications
>>
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identifier: oai:DiVA.org:ltu-77124
datestamp: 2021-04-19T12:50:59Z
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http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-77124
10.1016/j.bushor.2019.10.004
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titleInfo:
@attributes:
lang: eng
title: Artificial intelligence
subTitle: Building blocks and an innovation typology
abstract: The range of topics and the opinions expressed on artificial intelligence (AI) are so broad that clarity is needed on the the field’s central tenets the opportunities AI presents and the challenges it poses. To that end we provide an overview of the six building blocks of artificial intelligence: structured data unstructured data preprocesses main processes a knowledge base and value-added information outputs. We then develop a typology to serve as an analytic tool for managers grappling with AI’s influence on their industries. The typology considers the effects of AI-enabled innovations on two dimensions: the innovations’ boundaries and their effects on organizational competencies. The typology’s first dimension distinguishes between product-facing innovations which influence a firm’s offerings and process-facing innovations which influence a firm’s operations. The typology’s second dimension describes innovations as either competence-enhancing or competence-destroying; the former enhances current knowledge and skills whereas the latter renders existing skills and knowledge obsolete. This framework lets managers evaluate their markets the opportunities within them and the threats arising from them providing valuable background and structure to important strategic decisions.
subject:
@attributes:
lang: eng
authority: uka.se
topic:
Social Sciences
Economics and Business
Business Administration
@attributes:
lang: swe
authority: uka.se
topic:
Samhällsvetenskap
Ekonomi och näringsliv
Företagsekonomi
@attributes:
lang: eng
topic: Artificial intelligence
@attributes:
lang: eng
topic: Machine learning
@attributes:
lang: eng
topic: Disruptive innovation
@attributes:
lang: eng
topic: Product development
@attributes:
lang: eng
topic: Decision making
@attributes:
lang: eng
topic: Strategic planning
@attributes:
lang: eng
topic: Situational awareness
@attributes:
lang: eng
authority: ltu
topic: Industrial Marketing
genre: Research subject
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lang: swe
authority: ltu
topic: Industriell marknadsföring
genre: Research subject
language:
languageTerm: eng
genre:
publication/journal-article
ref
note:
Published
3
Validerad;2020;Nivå 2;2020-02-25 (johcin)
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namePart:
Paschen
Ulrich
role:
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affiliation:
Luleå tekniska universitet
Industriell Ekonomi
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Pitt
Christine
role:
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affiliation: Royal Institute of Technology (KTH) Stockholm Sweden
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Kietzmann
Jan
role:
roleTerm: aut
affiliation: University of Victoria Victoria BC Canada
originInfo:
dateIssued: 2020
publisher: Elsevier
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titleInfo:
title: Business Horizons
identifier:
0007-6813
1873-6068
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type: volume
number: 63
@attributes:
type: issue
number: 2
extent:
start: 147
end: 155
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