Cited by 30Entrepreneurship Studies and InfluencesInnovation and Knowledge ManagementFirm Innovation and Growth

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Free range startups? Market scope, academic founders, and the role of general knowledge in AI

Open access
Chattopadhyay, Shinjinee, Honoré, Florence, Won, Shinjae·2025·Strategic Management Journal

Abstract

Research Summary: High‐tech startups develop technologies, the market applicability of which can vary widely, enabling startups to target a range of market segments. Using a question‐driven approach to contrast startups with and without academic founders, we investigate the difference in the market applicability between the two groups on a sample of 988 startups in the artificial intelligence (AI) field. Our findings reveal that academics' pursuit of basic research drives the creation of general knowledge, which in turn leads to wider market applicability. With fewer requirements for complementary downstream assets in the AI ecosystem, academics can more easily translate their general ideas to market applications and locate downstream in the value chain. Our findings highlight the role of problem‐formulation and ‐solving in startups and of academic startups within AI. Managerial Summary: Using a sample of 988 startups in the Artificial Intelligence field, we find that startups with at least one academic on their founding team are associated with a higher number of verticals (potential market segments for the technology the startups developed) compared to startups without any academics. Teams with academic founders produce more general publications and patents than others, which drives the association with more verticals. Academics formulate and solve more general problems relative to non‐academics, leading to the creation of more general products that are applicable to a broader range of verticals. With fewer requirements for complementary downstream assets in the AI ecosystem, academics can more easily translate their general ideas to market applications and locate downstream in the value chain.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/smj.3685

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Research works printed but not linked: 94

  1. 10.5465/amj.2012.0853 · DOI
  2. Agarwal R., 2024, Creating new industries: The generative role of Heterogenous actors
  3. 10.1287/mnsc.1120.1582 · DOI
  4. 10.1016/j.respol.2014.04.012 · DOI
  5. 10.1002/smj.508 · DOI
  6. Ahsan M. M. Rahaman M. S. &Anjum N.(2023).From ChatGPT‐3 to GPT‐4: A Significant Leap in AI‐Driven NLP Tools. Saidur and Anjum Nishath From ChatGPT‐3 to GPT‐4: A Significant Leap in AI‐Driven NLP Tools(March 27 2023). · DOI
  7. 10.1093/icc/10.2.419 · DOI
  8. 10.1287/orsc.1070.0311 · DOI · Paper page
  9. 10.1093/restud/rdt044 · DOI
  10. 10.1007/s10961-005-5029-z · DOI
  11. 10.1287/orsc.1070.0295 · DOI
  12. 10.1115/DETC1994-0030 · DOI
  13. Chattopadhyay S. Han Y. Honoré F. &Won S.(2024).Getting a 25th hour: Fine‐tuning pre‐trained LLMs to classify text data for strategy research. Retrieved fromhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=4996983 · DOI
  14. Chattopadhyay S., 2024, Dynamic demands versus durable skills: Career dilemmas in pharmaceutical R&D
  15. 10.1002/smj.954 · DOI
  16. 10.1016/j.respol.2011.05.010 · DOI
  17. Cockburn I. M., 2018, The economics of artificial intelligence: An agenda, 115
  18. Conti A. &Guzman J.(2019).What is the US comparative advantage in entrepreneurship? Evidence from Israeli migration to the United States. Preprint submitted April 29.https://doi.org/10.2139/ssrn.3376131 · DOI
  19. 10.1287/orsc.2020.1411 · DOI
  20. 10.1287/orsc.2018.1243 · DOI
  21. 10.1002/smj.3489 · DOI
  22. 10.1177/1476127006066596 · DOI
  23. 10.1016/j.respol.2012.03.021 · DOI
  24. 10.1287/orsc.1080.0357 · DOI
  25. 10.1016/j.jfineco.2021.06.042 · DOI
  26. 10.1002/smj.384 · DOI
  27. 10.1002/sej.1140 · DOI
  28. 10.1016/j.respol.2012.08.002 · DOI
  29. 10.1287/stsc.2020.0119 · DOI
  30. 10.1002/smj.2044 · DOI
  31. 10.1002/smj.2460 · DOI
  32. 10.1002/smj.3365 · DOI
  33. 10.1111/jofi.13302 · DOI
  34. 10.1016/j.respol.2022.104653 · DOI
  35. 10.1177/0149206309341083 · DOI
  36. 10.1002/smj.865 · DOI
  37. 10.1287/mnsc.1080.0877 · DOI
  38. 10.1177/0149206310386228 · DOI
  39. 10.1016/j.respol.2010.09.012 · DOI
  40. 10.1002/smj.3484 · DOI
  41. 10.1093/icc/11.4.725 · DOI · Paper page
  42. Heydari B. Chattopadhyay S. Padhee S. &Karim S.(2024).Core or Periphery: Examining where to allocate heterogenous innovators through the impact on firms' innovation. Retrieved fromhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=5028175 · DOI
  43. 10.1109/MSP.2012.2205597 · DOI · Paper page
  44. 10.1016/j.jfineco.2018.06.003 · DOI
  45. 10.5465/amj.2018.1386 · DOI
  46. 10.1287/stsc.2021.0148 · DOI
  47. 10.1257/aer.91.1.240 · DOI
  48. Kim S. Agarwal R. &Goldfarb B.(2023).Creating radical technologies and competencies: Revisiting Interorganizational dynamics in the nascent bionic prosthetic industry. Available at SSRN 4024471.
  49. 10.1002/smj.3131 · DOI
  50. 10.1177/0891243206293030 · DOI
  51. LeCun Y., 1995, The handbook of brain theory and neural networks, 1995
  52. 10.1002/smj.3561 · DOI
  53. 10.1002/smj.845 · DOI
  54. Margolis J., 2017, Stuck in the shallow end, updated edition: Education, race, and computing
  55. 10.1287/orsc.2019.1287 · DOI
  56. McCarthy J., 1955, A proposal for the Dartmouth summer research project on artificial intelligence, AI Magazine, 27, 12
  57. 10.1287/orsc.1100.0633 · DOI
  58. 10.2307/2089193 · DOI
  59. 10.1002/smj.3441 · DOI
  60. 10.1002/smj.2511 · DOI
  61. 10.1002/smj.4250120204 · DOI
  62. 10.1016/j.respol.2004.01.013 · DOI
  63. 10.1086/258177 · DOI
  64. 10.1016/S0167-7187(03)00088-2 · DOI
  65. Nickerson J., 2012, Exploring the problem‐finding and problem‐solving approach for designing organizations. Academy of Management Perspectives, 52
  66. 10.1287/orsc.1040.0093 · DOI · Paper page
  67. 10.1016/j.respol.2014.09.005 · DOI
  68. 10.1002/sej.1257 · DOI
  69. 10.1287/stsc.2022.0155 · DOI
  70. 10.1093/icc/dtad072 · DOI
  71. Penrose E. T., 1959, The theory of the growth of the firm
  72. 10.1287/orsc.2018.1228 · DOI
  73. Press J.(2020).12 AI milestones: 4. MYCIN An expert system for infectious disease therapy (forbes.com).
  74. 10.1002/sej.1356 · DOI
  75. 10.1287/mnsc.2014.2100 · DOI
  76. 10.1287/orsc.2022.1633 · DOI
  77. 10.1016/j.respol.2020.104062 · DOI
  78. 10.1016/0048-7333(94)90042-6 · DOI
  79. 10.1287/orsc.1120.0769 · DOI
  80. 10.1111/j.1756-2171.2010.00117.x · DOI
  81. 10.1287/orsc.11.4.448.14602 · DOI
  82. 10.4337/9781843769828 · DOI
  83. 10.1002/smj.3407 · DOI
  84. Shortliffe E., 2012, Computer‐based medical consultations: MYCIN
  85. Stephan P. E., 1996, The economics of science, Journal of Economic Literature, 34, 1199
  86. Stokes D. E., 1997, Pasteur's quadrant: Basic science and technological innovation
  87. 10.1016/0048-7333(86)90027-2 · DOI · Paper page
  88. 10.1002/asi.21366 · DOI
  89. Trajtenberg M., 2018, The economics of artificial intelligence: An agenda, 175
  90. 10.1037/a0018963 · DOI · Paper page
  91. 10.1002/smj.946 · DOI
  92. 10.1016/S0048-7333(03)00107-0 · DOI
  93. 10.1002/smj.3502 · DOI
  94. Wooldridge M., 2020, A brief history of artificial intelligence

Metadata

Authors
Chattopadhyay, S., Honoré, F., & Won, S.
Affiliations
  • University of Illinois Urbana-Champaign (US)
  • Wisconsin School of Business University of Wisconsin‐Madison Madison Wisconsin USA
Corresponding author
Chattopadhyay, Shinjinee
Venue
Strategic Management Journal
Publisher
Wiley
Published
2024-12-16
Volume
46
Issue
4
Pages
1027-1079
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W4405451882
Cited by
30
References
4
Citations by year
2026: 16 · 2025: 14
FWCI
9.03
Type
journal article
Language
en
Open access
Locations
Strategic Management Journal (publishedVersion, cc-by-nc-nd)
Funders
  • University of Wisconsin-Madison
  • Korea Advanced Institute of Science and Technology
  • University of Illinois at Urbana-Champaign
Topics
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Entrepreneurship Studies and Influences
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Firm Innovation and Growth
Keywords
technology startups, artificial intelligence startups, market scope, general knowledge, problem formulation, value chain positioning, complementary assets, patents, technology commercialization

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