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From Creativity to Innovation: The Social Network Drivers of the Four Phases of the Idea Journey
Abstract
Interest has burgeoned, in recent years, in how social networks influence individual creativity and innovation. From both the theoretical and empirical points of view, this increased attention has generated many inconsistencies. In this article we propose that a conceptualization of the idea journey encompassing phases that the literature has so far overlooked can help solve existing tensions. We conceptualize four phases of the journey of an idea, from conception to completion: idea generation, idea elaboration, idea championing, and idea implementation. We propose that a creator has distinct primary needs in each phase: cognitive flexibility, support, influence, and shared vision, respectively. Individual creators successfully move through a phase when the relational and structural elements of their networks match the distinct needs of the phase. The relational and structural elements that are beneficial for one phase, however, are detrimental for another. We propose that in order to solve this seeming contradiction and the associated paradoxes, individual creators have to change interpretations and frames throughout the different phases. This, in turn, allows them to activate different network characteristics at the appropriate moment and successfully complete the idea journey from novel concept to a tangible outcome that changes the field.
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“Because human relations are ultimately the foundation for creative work today [105]”
From The Impact of Generative AI on Creativity in Software Development: A Research Agenda (2025) · cites this paper as [105]
In the citing paper
“Perry-Smith and Mannucci's (2017) model of the creative process identifies distinct stages with different requirements.”
From The Metacognitive Paradox of AI-Assisted Creativity: A Theoretical Extension (2026) · cites this paper as Perry-Smith and Mannucci's (2017)
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Metadata
- Authors
- Perry-Smith, J. E., & Mannucci, P. V.
- Affiliations
- Emory University (US)
- London Business School (GB)
- Venue
- Academy of Management Review
- Publisher
- Academy of Management
- Published
- 2017-01
- Volume
- 42
- Issue
- 1
- Pages
- 53-79
- ISSN
- 0363-7425 (ISSN-L)
- 1930-3807
- OpenAlex
- W2253551909
- Semantic Scholar
- 1f7b3dd167f0ee8d16c2fa7400b32ce9b1f0adbc
- Cited by
- 1,121
- References
- 252
- Citations by year
- 2026: 116 · 2025: 130 · 2024: 138 · 2023: 149 · 2022: 125 · 2021: 188 · 2020: 95 · 2019: 84 · 2018: 63 · 2017: 28
- FWCI
- 88.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Academy of Management Review (publishedVersion)
- London Business School Research Online (London Business School) (acceptedVersion)
- Open Research Exeter (University of Exeter) (acceptedVersion)
- Figshare (submittedVersion)
- Archivio istituzionale della Ricerca - Bocconi (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Entrepreneurship Studies and Influences
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Keywords
- social networks, individual creativity, innovation, idea generation, idea elaboration, idea implementation, cognitive flexibility, social support, influence, shared vision, network structure, framing
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 ›
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