Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 207

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

STI and DUI innovation modes: Scientific-technological and context-specific nuances

Open access
Parrilli, Mario Davide, Alcalde Heras, Henar·2016·Research Policy

Abstract

In this paper, we join the debate on business innovation modes that originates from the wider literature on innovation systems. These specific contributions identify and study the impact of different innovation modes, particularly the mode focused on scientific and technologically-based innovation (STI) vs. the mode based on learning-by-doing, by-using, and by-interacting (DUI). Echoing the seminal contribution by Jensen et al. (2007) and a range of other studies, we confirm the importance of the combined STI&DUI interaction mode, which has a stronger impact on innovation output (technological and non-technological) than the two separate individual modes. Additionally, we propose a novel hypothesis on the effectiveness of firm's interaction modes. We argue that the independent STI mode has a stronger effect on technological innovation, whereas the independent DUI mode has a stronger impact on non-technological innovation. In addition, in line with works on the geography of innovation, and innovation systems, we try to determine the impact of regional vs. global DUI and STI interactions on technological and non-technological innovations. In this case, we expect that in diverse geographic locations, businesses tend to adopt their own context-specific interaction modes, which produce a differentiated impact on innovation output. This study is applied to a large sample of firms in the context of the Basque Autonomous Community in Spain.

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 · 10.1016/j.respol.2016.01.001

Cites

1 of 1 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

Cited by

See all 207

Metadata

Authors
Parrilli, M. D., & Alcalde Heras, H.
Venue
Research Policy
Publisher
Elsevier BV
Published
2016-05
Volume
45
Issue
4
Pages
747-756
ISSN
0048-7333 (ISSN-L)
OpenAlex
W2274439804
Cited by
207
References
1
FWCI
42.43
Type
journal article
Language
en
Open access
hybrid

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: STI and DUI innovation modes: Scientific-technological and context-specific nuances. https://app.cochat.ai/papers/10.1016/j.respol.2016.01.001
The paper
Parrilli, M. D., & Alcalde Heras, H. (2016). STI and DUI innovation modes: Scientific-technological and context-specific nuances. Research Policy. https://doi.org/10.1016/j.respol.2016.01.001

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.