Cited by 2,469Innovation and Knowledge ManagementDigital Platforms and EconomicsDigital Innovation in Industries

Organizing for Innovation in the Digitized World

Open access
Yoo, Youngjin, Boland, Richard J., Lyytinen, Kalle, Majchrzak, Ann·2012·Organization Science

Abstract

Our era is one of increasingly pervasive digital technologies, which penetrate deeply into the very core of the products, services, and operations of many organizations and radically change the nature of product and service innovations. The fundamental properties of digital technology are reprogrammability and data homogenization. Together, they provide an environment of open and flexible affordances that are used in creating innovations characterized by convergence and generativity. An analysis of convergence and generativity observed in innovations with pervasive digital technologies reveals three traits: (1) the importance of digital technology platforms, (2) the emergence of distributed innovations, and (3) the prevalence of combinatorial innovation. Each of the six articles in this special issue relates to one or more of these three traits. In this essay, we explore the organizational research implications of these three digital innovation traits and identify research opportunities for organization science scholars. Examples from the articles in this special issue on organizing for innovation in the digitized world are used to demonstrate the kind of organizational scholarship that can faithfully reflect and inform innovation in a world of pervasive digital technologies.

Integrity signals

Registry

Crossref · 10.1287/orsc.1120.0771

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Partnerships with technology providers and research institutions help compensate for internal resource constraints.

    “Agile, iterative processes support rapid experimentation, while partnerships with technology providers and research institutions help compensate for internal resource constraints (Yoo et al., 2012).”

    From Digital transformation: a comparative analysis of SME digital maturity models (2025) · cites this paper as Yoo et al., 2012

  • Agile, iterative processes support rapid experimentation.

    “Agile, iterative processes support rapid experimentation, while partnerships with technology providers and research institutions help compensate for internal resource constraints (Yoo et al., 2012).”

    From Digital transformation: a comparative analysis of SME digital maturity models (2025) · cites this paper as Yoo et al., 2012

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Yoo, Y., Boland, R. J., Lyytinen, K., & Majchrzak, A.
Affiliations
  • Temple University (US)
  • Case Western Reserve University (US)
  • University of Southern California (US)
Venue
Organization Science
Published
2012-10
Volume
23
Issue
5
Pages
1398-1408
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W2156236309
Cited by
2,469
References
7
Citations by year
2026: 239 · 2025: 282 · 2024: 335 · 2023: 330 · 2022: 230 · 2021: 257 · 2020: 208 · 2019: 158 · 2018: 142 · 2017: 80 · 2016: 71 · 2015: 76 · 2014: 39 · 2013: 19 · 2012: 2
FWCI
129.10
Type
journal article
Language
en
Open access
Locations
  • Organization Science (publishedVersion)
  • SSRN Electronic Journal (submittedVersion)
Funders
National Science Foundation
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
Keywords
digital technologies, innovation, organizational innovation, distributed innovation, combinatorial innovation, convergence, generativity, data homogenization, affordances, research agenda

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