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Thriving in an Increasingly Digital Ecosystem
Abstract
Research from MIT Sloan School of Management’s Center for Information Systems Research says that to prepare for a future of digital disruption, companies need to consider which of four business models to adapt. “Given the amount of turmoil digital disruption is causing, it’s time for companies to evaluate these threats and opportunities and start creating new business options for the future — the more connected future of digital ecosystems,” write Peter Weill and Stephanie L. Woerner, both of CISR. Companies also need to develop new capabilities in two areas: learning more about their customers and becoming “more of an ecosystem.”
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Citations
Cited by
Loebbecke, C., & Picot, A. (2015) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2015.08.002 · Cited by 1,317
Roles during innovation ecosystem genesis: A literature review
Dedehayir, O., Mäkinen, S. J., & Roland Ortt, J. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.11.028 · Cited by 499
Dynamic information technology capability: Concept definition and framework development
Li, T. (., & Chan, Y. E. (2019) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2019.101575 · Cited by 151
Saeedikiya, M., Salunke, S., & Kowalkiewicz, M. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.140718 · Cited by 116
Barriers to Artificial Intelligence Adoption in Healthcare Management: A Systematic Review
Assadullah, M. M. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3530598 · Cited by 13
Metadata
- Authors
- Weill, P., & Woerner, S. L.
- Venue
- MIT Sloan Management Review
- Publisher
- Massachusetts Institute of Technology
- Published
- 2015-06-16
- Volume
- 56
- Issue
- 4
- Pages
- 27-34
- ISSN
- 1532-8937 (ISSN-L)
- OpenAlex
- W7203925774
- Cited by
- 346
- References
- 0
- FWCI
- 69.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Weill, P., & Woerner, S. L. (2015). Thriving in an Increasingly Digital Ecosystem. MIT Sloan Management Review. https://doi.org/10.63383/ueij7100
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.