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Artificial intelligence-enabled business model innovation : competencies and roles of top management
ID
Jorzik, Philip
(
Author
),
ID
Yigit, Anil
(
Author
),
ID
Kanbach, Dominik
(
Author
),
ID
Kraus, Sascha
(
Author
),
ID
Dabić, Marina
(
Author
)
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MD5: CD0D04C6F26FD2CE4A4D12075BA887B9
URL - Source URL, Visit
https://ieeexplore.ieee.org/document/10132425
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Abstract
Research in artificial intelligence and business model innovation is flourishing. Nevertheless, the current discussion lacks an overarching understanding of, and thus has not sufficiently addressed, the interface between artificial intelligence-enabled business model innovation and the critical role of top management. Although a paradigm shift affecting top management is already occurring, extant management literature is limited, especially in terms of primary research. Accordingly, this study explores how top management can encourage and facilitate artificial intelligence-enabled business model innovation. We utilized an inductive approach and conducted semistructured interviews with 47 practitioners to develop a grounded theory. The developed framework consists of five top management competencies and eight top management roles. Overall, our study contributes to research in business model innovation theory, revealing that top management requires a specific skill set to carry out their roles and fulfill expectations.
Language:
English
Keywords:
management
,
business model
,
digitalization
,
artificial intelligence
,
artificial intelligence
,
AI
,
business model innovation
,
BMI
,
top management
,
TM
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
EF - School of Economics and Business
Publication status:
Published
Publication version:
Version of Record
Year:
2023
PID:
20.500.12556/RUL-148277
UDC:
659.2:004
ISSN on article:
0018-9391
DOI:
10.1109/TEM.2023.3275643
COBISS.SI-ID:
153819907
Publication date in RUL:
09.08.2023
Views:
1125
Downloads:
107
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Record is a part of a journal
Title:
IEEE transactions on engineering management
Shortened title:
IEEE trans. eng. manage.
Publisher:
Institute of Electrical and Electronics Engineers
ISSN:
0018-9391
COBISS.SI-ID:
8721669
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
management
,
poslovni model
,
digitalizacija
,
umetna inteligenca
,
Slovenija
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