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Transform me if you can : leveraging dynamic capabilities to manage digital transformation
ID
Schneider, Malte H. G.
(
Author
),
ID
Kanbach, Dominik
(
Author
),
ID
Kraus, Sascha
(
Author
),
ID
Dabić, Marina
(
Author
)
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MD5: E79CE4FF82880FF79892548BE392489E
URL - Source URL, Visit
https://ieeexplore.ieee.org/document/10287139
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Abstract
This study sheds light on the relationships between digital transformation, business model, and process efficiency capabilities, and new product development (NPD) performance by employing a sequential explanatory approach, combining quantitative and qualitative research methodologies, utilizing structural equation modeling based on 430 questionnaire respondents, and a multiple case study design using four cases. The derived framework highlights that digital transformation does not directly lead to NPD performance but that organizations use idiosyncratic higher order (e.g., business model and process efficiency) capabilities that mediate this relationship to strategically cope with change. When assessing, reconfiguring, and integrating, organizations tap into internal and external value, individual, technological, and organizational (VITO) dimensions to transform operational capabilities and resources. Thus, higher order capabilities enable organizations to leverage firm-external opportunities to adjust intrafirm operational capabilities, resources, and competencies, emphasizing a complex hierarchical and contextual interplay. The contributions of the study are twofold: 1) we provide statistical evidence that the business model and process efficiency capabilities are coping mechanisms to master digital transformation and 2) the successful orchestration of VITO dimensions is essential for assessing, reconfiguring, and integrating resources, competencies, and operational capabilities to derive NPD performance.
Language:
English
Keywords:
management
,
business model
,
digitalization
,
artificial intelligence
,
digital transformation (DT)
,
dynamic 
capabilities
,
mixed method
,
multiple case study
,
new product development (NPD)
,
sequential explanatory approach
,
structural equation model
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:
2024
Number of pages:
Str. 9094-9108
Numbering:
Vol. 71
PID:
20.500.12556/RUL-159750
UDC:
659.2:004
ISSN on article:
0018-9391
DOI:
10.1109/TEM.2023.3319406
COBISS.SI-ID:
169433347
Publication date in RUL:
22.07.2024
Views:
100
Downloads:
27
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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-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Secondary language
Language:
Slovenian
Keywords:
management
,
poslovni model
,
digitalizacija
,
umetna inteligenca
,
Slovenija
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P5-0441
Name:
Regeneracija ekonomije in posla
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