The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Innovation At and Across Multiple Levels of Analysis
Abstract
In this introductory article for the Special Issue on Innovation At and Across Multiple Levels of Analysis, we review major streams of extant research on innovation to establish a clear role for multilevel theory and research within this domain. We then examine and illustrate two fundamental and complementary approaches for investigating multilevel linkages—bottom-up emergent processes and top-down processes. In a brief commentary on each paper in the special issue, we overview the conceptual questions addressed by the research, identify the particular model of multilevel effects that serves as its foundation, and suggest how the use of multilevel models provides insights that help us better understand how innovation phenomena at one level of analysis are linked to those at another, thus providing a richer and more complete perspective on innovation. We conclude by identifying major methodological and applied contributions of the special issue and suggesting future research directions for the study of innovation at and across multiple levels of analysis.
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Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942 · cited 2×
“Note also that, as argued by March (1991), exploratory innovations can be expected to demonstrate high variance in performance without necessarily an increase in mean performance.”
BackgroundTechnical Change and the Aggregate Production Function
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The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits
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Positive affect facilitates creative problem solving.
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The Challenge of Innovation Implementation
Klein, K. J., & Sorra, J. S. (1996) · The Academy of Management Review · doi:10.2307/259164 · Cited by 2,113
Disrupted Routines: Team Learning and New Technology Implementation in Hospitals
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Levels issues in theory development, data collection and analysis
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Networks, Dynamics, and the Small‐World Phenomenon
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Cited by
Organizing for Innovation in the Digitized World
Yoo, Y., Boland, R. J., Lyytinen, K., & Majchrzak, A. (2012) · Organization Science · doi:10.1287/orsc.1120.0771 · Cited by 2,469
Organizational Learning: From Experience to Knowledge
Argote, L., & Miron-Spektor, E. (2011) · Organization Science · doi:10.1287/orsc.1100.0621 · Cited by 1,917
Introduction—Platforms and Infrastructures in the Digital Age
Constantinides, P., Henfridsson, O., & Parker, G. G. (2018) · Information Systems Research · doi:10.1287/isre.2018.0794 · Cited by 943
Digital Product Innovation Within Four Classes of Innovation Networks
Lyytinen, K., Yoo, Y., & Boland Jr., R. J. (2016) · Information Systems Journal · doi:10.1111/isj.12093 · Cited by 806
A systematic review of research on coopetition: Toward a multilevel understanding
Bengtsson, M., & Raza-Ullah, T. (2016) · Industrial Marketing Management · doi:10.1016/j.indmarman.2016.05.003 · Cited by 401
Metadata
- Authors
- Gupta, A. K., Tesluk, P. E., & Taylor, M. S.
- Venue
- Organization Science
- Published
- 2007-12
- Volume
- 18
- Issue
- 6
- Pages
- 885-897
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2070983277
- Cited by
- 390
- References
- 10
- FWCI
- 38.23
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
