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Conceptualizing and defining digital innovation ecosystems: A systematic literature review

Irina Gorelova

Irina Gorelova

Department of Management, Sapienza University of RomeRoma, Italy
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Gorelova, Irina
, 
Ihor Rudko

Ihor Rudko

Department of Leadership and Organizational Behaviour, BI Norwegian Business SchoolOslo, Norway
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Rudko, Ihor
, 
Fabrizio D’Ascenzo

Fabrizio D’Ascenzo

Department of Management, Sapienza University of RomeRoma, Italy
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D’Ascenzo, Fabrizio
 et 
Francesco Bellini

Francesco Bellini

Department of Management, Sapienza University of RomeRoma, Italy
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Bellini, Francesco
  
30 mars 2025
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Catégorie d'article: Research Article
Publié en ligne: 30 mars 2025
Pages: 64 - 82
Reçu: 04 sept. 2024
Accepté: 28 févr. 2025
DOI: https://doi.org/10.2478/mmcks-2025-0002
Mots clés
© 2025 Irina Gorelova et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

PRISMA 2020 flow diagram of the literature selection stages.
PRISMA 2020 flow diagram of the literature selection stages.

Figure 2

Distribution of the articles by years of publication.
Distribution of the articles by years of publication.

Figure 3

Distribution of the articles by country.
Distribution of the articles by country.

Figure 4

DIE conceptual framework.
DIE conceptual framework.

Figure 5

The most frequent words related to the topic of DIE.
The most frequent words related to the topic of DIE.

Figure 6

Scree plot. The ten most contributing principal components.
Scree plot. The ten most contributing principal components.

Figure 7

PCA. The correlation of active variables with the first two dimensions. Note: cos2 denotes the quality of the representation of variables on the axes. For better presentational clarity, only variables with cos2 > 0.1 are reported.
PCA. The correlation of active variables with the first two dimensions. Note: cos2 denotes the quality of the representation of variables on the axes. For better presentational clarity, only variables with cos2 > 0.1 are reported.

Figure 8

Cluster dendrogram projected on the first two PCA dimensions.
Cluster dendrogram projected on the first two PCA dimensions.

Distribution of the literature by system levels_

System level Actors Papers
System level Meta level Papers Vasin et al. (2018); Wang (2018); Chae (2019); Nepelski (2019); Wang (2019); Xu (2020); Wang (2021); Kewen and Junji (2022); Kindermann et al. (2022); Liu et al. (2023a); Liu et al. (2023b) Macro level Supranational organizations, Nations, cities, regions Misséri (2013); Pistorio et al. (2018); Whyte (2019); Baumane-Vītoliņa and Dudek (2020); Cvar et al. (2020); Filatova et al. (2020); Ruohomaa et al. (2020); Maurer, (2021); Purbasari et al. (2022a); Purbasari et al. (2022b); Chen and Cai (2023); Mutegi et al. (2023); Purbasari et al. (2023)
Meso level Local ecosystems, industrial networks Kolloch and Dellermann (2018); Gorecky et al. (2019); Beltagui et al. (2020); Cui et al. (2022); Li et al. (2022); Liao et al. (2023); Wolfert et al. (2023); Wu and Negassi (2023); Xu et al. (2023)
Micro level Companies, consumers Rao and Jimenez (2011); Suseno et al. (2018); Rocha et al. (2018); Rocha et al. (2019); Yin et al. (2020); Raabe et al. (2021); Rocha et al. (2021); Zou et al. (2022); Ji et al. (2023); Li and Liu (2023)

DIE definitions in the literature_

Paper Definition of DIE
Kolloch and Dellermann (2018) “an innovation ecosystem as a social technological system (actor network) consisting of two inseparable parts: a social system (human actor network) and a technological system (non-human actor network)”
Suseno et al. (2018) “digital innovation ecosystem models the interactions and relationships between organisations and stakeholders, in creating new products and services using digital technologies in order to create value”
Wang (2018) “a special type of sociotechnical system”
Chae (2019) “a complex arrangement of technologies, methodologies, concepts, business application areas, organizations, and institutional contexts”; “a network of heterogeneous social and technical elements, which co-evolve over time”
Beltagui et al. (2020) “digital innovation ecosystems account for industry-spanning co-operative and competitive dynamics among firms related to innovations that combine physical and digital elements”
Cvar et al. (2020) “a complex system of various actors having different roles, interacting in mutual interdependence, constantly learning how to interact effectively”
Wang (2019) “as a special type of sociotechnical systems, a digital innovation ecosystem is a dynamic collective of interdependent actors and the resources they draw on to innovate with digital technology”
Xu (2020) “a complex network of collaborative and competitive relationships among individuals, organizations and digital technologies that jointly create value for innovation”
Wang (2021) “a loosely coupled set of autonomous actors (people and organizations who interact without hierarchical fiat) involved in the development and implementation of innovations enabled by digital technologies”
Li et al. (2022) “a complex economic structure in which organizations and individuals interact with each other". "The digital innovation ecosystem not only introduces data as a factor of production, but also enhances the connections between subjects, promotes synergy among elements, and finally causes changes in the system logic”
Ji et al. (2023) “loosely interconnected networks formed by firms and other innovation agents”
Liu et al. (2023a) “a complex system of symbiotic competition and collaborative evolution comprising several interconnected, interacting and proactive digital innovation subjects. It has a complex internal network, communicating the interaction between subjects, and its development is driven by the knowledge-sharing and cooperation needs between subjects”

Inclusion criteria and their characteristics_

Type of inclusion criteria Characteristic of inclusion criteria
Document type Articles and research papers
Time period Until December 2023
Language English
Geography Worldwide
Databases Scopus, WOS, Google Scholar

Ten most contributing keywords (t-scores) within the clusters (p < 0_05)_

Cluster 1 – keywords Cluster 1 – contributions Cluster 2 – keywords Cluster 2 – contributions Cluster 3 – keywords Cluster 3 – contributions
Organization 3.14 Game 4.45 Development 4.77
Business 3.11 Co-creation 3.65 Industry 3.84
Product 3.07 Enterprise 3.25 Environment 3.13
Firm 2.7 Strategy 2.79 Financial 2.94
Service 2.7 Platform 2.77 Smart 2.8
Design 2.66 Knowledge 2.37 Technology 2.61
Actor 2.65 Transformation 2.01 Manufacture 2.5
Information 2.52 Improve 1.47 Economic 2.45
Ecosystem 2.02 Technological 2.32
Market 1.2 Company 2.24

Distribution of selected articles by source and publication year_

Journal ‘11 ‘12 ‘13 ‘14 ‘15 ‘16 ‘17 ‘18 ‘19 ‘20 ‘21 ‘22 ‘23 Tot. %
Advances in Intelligent Systems and Computing 1 1 2.3
Agricultural Systems 1 1 2.3
Business Process Management Journal 1 1 2.3
Frontiers in Psychology 1 1 2.3
IEEE Access 2 2 4.6
IEEE Transactions on Engineering Management 1 1 2.3
Information and Organization 1 1 2.3
Intereconomics 1 1 2.3
International Journal for Innovation Education and Research 1 1 2.3
International Journal of E-Entrepreneurship and Innovation 1 1 2.3
International Journal of Information Management 1 1 2.3
Journal of Cleaner Production 1 1 2.3
Journal of Electronics and Information Science 1 1 2.3
Journal of Strategic Information Systems 1 1 2.3
KYBERNETES 1 1 2.3
Managerial and Decision Economics 2 2 4.6
MIS Quarterly: Management Information Systems 1 1 2.3
PLOS ONE 1 1 2.3
Project Management Journal 1 1 2.3
Research Policy 1 1 2.3
Review of Integrative Business and Economics Research 2 2 4.6
Sensors 1 1 2.3
Studies of Transition States and Societies 1 1 2.3
Sustainability 3 3 7
Technological Forecasting and Social Change 1 1 2.3
Technology Analysis & Strategic Management 1 1 2.3
Conference proceedings ‘11 ‘12 ‘13 ‘14 ‘15 ‘16 ‘17 ‘18 ‘19 ‘20 ‘21 ‘22 ‘23 %
2023 IST-Africa Conference (IST-Africa) 1 1 2.3
22nd Pacific Asia Conference on Information Systems 1 1 2.3
27th European Conference on Information Systems 1 1 2.3
31st International Business Information Management Association Conference 1 1 2.3
40th R&D Management Conference “R&Designing Innovation: Transformational Challenges for Organizations and Society” 1 1 2.3
8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing 1 1 2.3
Hawaii International Conference on System Sciences (HICSS) 1 1 2.3
International Congress and Conferences on Computational Design and Engineering 1 1 2.3
Lecture Notes on Data Engineering and Communications Technologies 1 1 2.3
Portland International Center for Management of Engineering and Technology 1 1 2.3
Russian Conference on Digital Economy and Knowledge Management 1 1 2.3
Working Conference on Virtual Enterprises 1 1 2.3
Total 1 1 6 6 7 4 7 11 43 100
Langue:
Anglais
Périodicité:
4 fois par an
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