The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Digital business ecosystem: Literature review and a framework for future research
Abstract
Abstract Digital innovation has radically changed how organisations collaborate and compete. Coupled with this change are new collaborative value creation networks such as digital business ecosystems (DBEs). DBE is a socio-technical network of individuals, organisations and technologies that collectively co-create value. Since the emergence of DBE over a decade ago, there have been limited attempts to critically review and synthesise the body of knowledge presented over the years. Thus, the purpose of this paper is to fill this gap in DBE research by: (1) developing a comprehensive framework that synthesises and provides an overall direction of DBE research; (2) pointing out gaps in DBE literature; and (3) providing future research directions. To address this purpose, we systematically analysed 101 research articles on DBE. The findings provide insightful revelations to address some limitations in the current DBE research. As such, this study makes important contributions and serves as a useful resource for future DBE studies and practice.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Grounded theory research: Procedures, canons, and evaluative criteria
Corbin, J. M., & Strauss, A. (1990) · Qualitative Sociology · doi:10.1007/bf00988593 · Cited by 11,133
Co‐creating unique value with customers
Prahalad, C. K., & Ramaswamy, V. (2004) · Strategy & Leadership · doi:10.1108/10878570410699249 · Cited by 2,463
The sharing economy and digital platforms: A review and research agenda
Sutherland, W., & Jarrahi, M. H. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.07.004 · Cited by 725
Kamboj, S., Sarmah, B., Gupta, S., & Dwivedi, Y. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.001 · Cited by 591
Big data, knowledge co-creation and decision making in fashion industry
Acharya, A., Singh, S. K., Pereira, V., & Singh, P. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.06.008 · Cited by 221
Analyzing the past to prepare for the future
(2002) · MIS Quarterly · doi:10.5555/2017160.2017162 · Cited by 179
Cited by
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611
Data governance: A conceptual framework, structured review, and research agenda
Abraham, R., Schneider, J., & vom Brocke, J. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.07.008 · Cited by 645
Prescriptive analytics: Literature review and research challenges
Lepenioti, K., Bousdekis, A., Apostolou, D., & Mentzas, G. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.04.003 · Cited by 501
“…& Lin, 2018; Seifert, Seifert, & Protopappa-Sieke, 2013), while similar methodologies have been followed in other domains (Duan, Edwards, & Dwivedi, 2019; Ismagilova, Hughes, Dwivedi, & Raman, 2019; Koivisto & Hamari, 2019; Senyo, Liu, & Effah, 2019; Tamilmani, Rana, Prakasam, & Dwivedi, 2019).”
Costa, E., Soares, A. L., & de Sousa, J. P. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102070 · Cited by 100
Metadata
- Authors
- Senyo, P. K., Liu, K., & Effah, J.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 47
- Pages
- 52-64
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2913486509
- Cited by
- 431
- References
- 6
- FWCI
- 69.15
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
