Evidence map›Paper›PMID 36300049›Full record

ArticleFrontiers in psychology2022

The impact of policy perception on technology transfer from boundary-spanning perspective-empirical evidence from Chinese technological enterprises.

Kaiyun Zhang, Qingjin Wang, Xueling Wang, Fengying Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Kaiyun ZhangBusiness School, Qingdao University, Qingdao, China.
Qingjin WangBusiness School, Qingdao University, Qingdao, China.
Xueling WangBusiness School, Qingdao University, Qingdao, China.
Fengying ZhangMusic School, Anshan Normal University, Anshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technology transfer is an essential source of technological innovation for enterprises, which is conducive to the market transformation of patent achievements and the commercial application of new technologies. Building upon social capital theory, all data analyses were performed using SPSS 22.0 and Amos software with the multiple linear regression method. The study explores the mechanism of policy perception to obtain the technical resources needed for enterprise development through boundary-spanning behavior, with a moderating effect of inter-organizational trust and technological potential gap. The study uses survey data from 125 enterprise teams of 42 technology-based enterprises in China. The results show that policy perceived usefulness and usability significantly promote technology transfer performance and boundary-spanning behavior plays a mediating role between them. Speaking of the influencing factors of technology transfer, technological potential gap significantly moderates the relationship between boundary-spanning and technology transfer performance. In contrast, inter-organizational trust positively moderates the relationship between boundary-spanning and technology transfer performance. The research provides theoretical reference and guidance for enterprises on using policy perception better to improve technology transfer performance in the institutional environment. It also helps inspire enterprises to better deal with the cooperative relationship between relevant stakeholders and achieve win-win cooperation.

Indexed as

boundary-spanninginter-organizational trustpolicy perceptionsocial capital theorytechnological potential gaptechnology transfer

Identifiers

PMID36300049
PMCPMC9588984

What OpenQuestion holds

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LicenceCC BY
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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.