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AI-driven digital platform innovation. / Yablonsky, Sergey A.

In: Technology Innovation Management Review, Vol. 10, No. 10, 10.2020, p. 4-15.

Research output: Contribution to journal › Article › peer-review

Harvard

Yablonsky, SA 2020, 'AI-driven digital platform innovation', Technology Innovation Management Review, vol. 10, no. 10, pp. 4-15. https://doi.org/10.22215/TIMREVIEW/1392

APA

Yablonsky, S. A. (2020). AI-driven digital platform innovation. Technology Innovation Management Review, 10(10), 4-15. https://doi.org/10.22215/TIMREVIEW/1392

Vancouver

Yablonsky SA. AI-driven digital platform innovation. Technology Innovation Management Review. 2020 Oct;10(10):4-15. https://doi.org/10.22215/TIMREVIEW/1392

Author

Yablonsky, Sergey A. / AI-driven digital platform innovation. In: Technology Innovation Management Review. 2020 ; Vol. 10, No. 10. pp. 4-15.

BibTeX

@article{90937e9f56af4805aa4099fd8a5431db,
title = "AI-driven digital platform innovation",
abstract = "Artificial Intelligence (AI) innovation becomes useful today when it enriches decision-making that is enhanced by applications of big data (BD), advanced analytics (AA), and some element of human interaction using digital platforms. This research aims to investigate the potential combination of AI, BD and AA for digital business platforms. In doing so, it develops a multidimensional AI-driven platform innovation framework with AI/BD/AA innovation value chain and related levels of AI maturity improvement. The framework can be used with a focus on the data-driven human-machine relationship and the application of AI at different levels of an AI-driven digital platform technology stack.",
keywords = "Advanced Analytics, AI maturity, AI value chain, AI-driven platform innovation, Artificial Intelligence (AI), Big Data, Enterprise platform, SCOPUS, РИНЦ",
author = "Yablonsky, {Sergey A.}",
note = "Yablonsky, S. A. AI-driven digital platform innovation / S. A. Yablonsky // Technology Innovation Management Review. - 2020. - Volume 10, Issue 10. - P. 4-15. Publisher Copyright: {\textcopyright} 2020 SciPost Physics. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2020",
month = oct,
doi = "10.22215/TIMREVIEW/1392",
language = "English",
volume = "10",
pages = "4--15",
journal = "Technology Innovation Management Review",
issn = "1927-0321",
publisher = "Talent First Network",
number = "10",

}

RIS

TY - JOUR

T1 - AI-driven digital platform innovation

AU - Yablonsky, Sergey A.

N1 - Yablonsky, S. A. AI-driven digital platform innovation / S. A. Yablonsky // Technology Innovation Management Review. - 2020. - Volume 10, Issue 10. - P. 4-15. Publisher Copyright: © 2020 SciPost Physics. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/10

Y1 - 2020/10

N2 - Artificial Intelligence (AI) innovation becomes useful today when it enriches decision-making that is enhanced by applications of big data (BD), advanced analytics (AA), and some element of human interaction using digital platforms. This research aims to investigate the potential combination of AI, BD and AA for digital business platforms. In doing so, it develops a multidimensional AI-driven platform innovation framework with AI/BD/AA innovation value chain and related levels of AI maturity improvement. The framework can be used with a focus on the data-driven human-machine relationship and the application of AI at different levels of an AI-driven digital platform technology stack.

AB - Artificial Intelligence (AI) innovation becomes useful today when it enriches decision-making that is enhanced by applications of big data (BD), advanced analytics (AA), and some element of human interaction using digital platforms. This research aims to investigate the potential combination of AI, BD and AA for digital business platforms. In doing so, it develops a multidimensional AI-driven platform innovation framework with AI/BD/AA innovation value chain and related levels of AI maturity improvement. The framework can be used with a focus on the data-driven human-machine relationship and the application of AI at different levels of an AI-driven digital platform technology stack.

KW - Advanced Analytics

KW - AI maturity

KW - AI value chain

KW - AI-driven platform innovation

KW - Artificial Intelligence (AI)

KW - Big Data

KW - Enterprise platform

KW - SCOPUS

KW - РИНЦ

UR - http://www.scopus.com/inward/record.url?scp=85097099529&partnerID=8YFLogxK

U2 - 10.22215/TIMREVIEW/1392

DO - 10.22215/TIMREVIEW/1392

M3 - Article

AN - SCOPUS:85097099529

VL - 10

SP - 4

EP - 15

JO - Technology Innovation Management Review

JF - Technology Innovation Management Review

SN - 1927-0321

IS - 10

ER -

ID: 75335831