Evidence map›Paper›PMID 38625286›Full record

ArticleSmall business economics2022

How scientists interpret and address funding criteria: value creation and undesirable side effects.

Conor O'Kane, Jing A Zhang, Jarrod Haar, James A Cunningham

Open access · hybridAbstract read
In one paragraph

Article in Small business economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Conor O'KaneOtago Business School, University of Otago, Dunedin, New Zealand.
Jing A ZhangOtago Business School, University of Otago, Dunedin, New Zealand.
Jarrod HaarAuckland University of Technology Business School, Auckland University of Technology, Auckland, New Zealand.
James A CunninghamNewcastle University Business School, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0002-2708-166X
University of Otago · NZAuckland University of Technology · NZLund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientists and funding bodies are interdependent actors involved in an ongoing two-way signalling interaction; however, we lack insight on the social mechanisms underpinning this interaction. To address this issue, we examine how successfully funded scientists interpret and address criteria set by the funding body to maximise their chances of funding success. We also consider the possible adverse side effects that can arise from scientists' competitive efforts to address these criteria. Our findings identify a portfolio of funding criteria-research feasibility, research alignment and team credentials-that scientists address when preparing grant applications. Effectively addressing these criteria enhances the prospects of funding success and value creation. However, we also find that scientists can over-address funding criteria, which is counterproductive and yields undesirable side effects. Our research therefore makes an important distinction between the possibilities for value creation and the value creation frictions that can unintentionally arise based on how grant-submitting scientists interpret and address the criteria signalled by the funding body. Our research has implications for policymakers, funding bodies and scientists which we also discuss.

Indexed as

Principal investigatorsResourcefulnessScience fundingSignal theoryValue creation

Identifiers

PMID38625286
PMCPMC9549826
OpenAlexW4304123701

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.