The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Digital technology adoption and knowledge flows within firms: Can the Internet overcome geographic and technological distance?
Open accessAbstract
Under what conditions does digital technology adoption increase cross location knowledge flows within firms? We investigate this question by studying the impact of adopting basic Internet access on cross-location knowledge flows within the same firm. We construct a large data set of Internet adoption and patent citations among dyadic pairs of firm-locations between 1992-1998. We find that when both locations in the pair adopt basic Internet there is an increase in the likelihood of a citation between the citing and (potential) cited location. In contrast, we find no significant effect of Internet adoption at only the citing location. We further study how this effect varies according to the proximity of the research activities between the source and recipient of knowledge and specialization of the research activities within the recipient. We find that the likelihood of a citation increases more after dyadic Internet adoption when the pair is working in similar research areas and when the research areas in the citing location are less specialized. These results, which are robust to a range of robustness analyses, suggest that digital technologies such as Internet connectivity are able to facilitate knowledge flows between locations only when they share a common knowledge base.
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Cites
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The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes
Nambisan, S., Wright, M., & Feldman, M. (2019) · Research Policy · doi:10.1016/j.respol.2019.03.018 · Cited by 3,089
Digital innovation and performance of manufacturing firms: An affordance perspective
Liu, Y., Dong, J., Mei, L., & Shen, R. (2023) · Technovation · doi:10.1016/j.technovation.2022.102458 · Cited by 363
“New normal” at work in a post-COVID world: work–life balance and labor markets
Vyas, L. (2022) · Policy and Society · doi:10.1093/polsoc/puab011 · Cited by 336
Chierici, R., Tortora, D., Del Giudice, M., & Quacquarelli, B. (2021) · Journal of Intellectual Capital · doi:10.1108/jic-02-2020-0058 · Cited by 85
AI, robots and innovation in European SMEs
Segarra-Blasco, A., Tomàs-Porres, J., & Teruel, M. (2025) · Small Business Economics · doi:10.1007/s11187-025-01017-2 · Cited by 49
Metadata
- Authors
- Forman, C., & van Zeebroeck, N.
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 48
- Issue
- 8
- Pages
- 103697
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W2901073753
- Cited by
- 305
- References
- 85
- FWCI
- 16.76
- Type
- journal article
- Language
- en
- Open access
- green
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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.