收藏切换
A study on the driving path of scientific and technological talents' innovation willingness under the TPB framework—Based on fsQCA analysis
收藏切换
PDF
Zuoxue LI1, Yuanyuan ZHAO1, Yifei CAO1, Jianfeng JIA2
Science & Technology Review | 2026, 44(4) : 155 - 163
Less
收藏切换
Science & Technology Review | 2026, 44(4): 155-163
Papers
A study on the driving path of scientific and technological talents' innovation willingness under the TPB framework—Based on fsQCA analysis
Full
Zuoxue LI1, Yuanyuan ZHAO1, Yifei CAO1, Jianfeng JIA2
Affiliations
  • 1School of Economics and Management, Shenyang Aerospace University, Shenyang 110316, China
  • 2School of Business Administration, Northeastern University, Shenyang 110169, China
Published: 2026-02-28 doi: 10.3981/j.issn.1000-7857.2025.11.00380
Outline
收藏切换

Technological talents are the core element for achieving self−reliance and self−improvement in China's science and technology, and innovation willingness is the key to stimulating the vitality of technological talents. This article takes 236 scientific and technological talents as the survey subjects, adopts the fuzzy set qualitative comparative analysis method, and explores the configuration path of multi factor synergy affecting the innovation willingness of scientific and technological talents under the TPB framework. Research has found that there are four driving types of high innovation willingness among technology talents, namely demonstrative norms innovation attitude driven, directive norms innovation attitude driven, endogenous attitudes subjective norm driven, and innovation attitude driven. Innovation attitude is an important condition for technology talents to generate innovation willingness; Directive norms and demonstrative norms are key elements in regulating the innovation willingness of scientific and technological talents, and there is a substitution relationship between the two; The perceived behavioral control of technology talents has a weaker effect on enhancing innovation willingness. This article reveals the complex causal mechanism of the synergistic effect of planned behavior theory elements on the innovation willingness of scientific and technological talents from a configuration perspective, providing important reference for organizations to cultivate the innovation willingness of scientific and technological talents.

theory of planned behavior  /  scientific and technology talents  /  innovation willingness  /  drive path
Zuoxue LI, Yuanyuan ZHAO, Yifei CAO, Jianfeng JIA. A study on the driving path of scientific and technological talents' innovation willingness under the TPB framework—Based on fsQCA analysis[J]. Science & Technology Review, 2026 , 44 (4) : 155 -163 . DOI: 10.3981/j.issn.1000-7857.2025.11.00380
Year 2026 volume 44 Issue 4
PDF
1286
679
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2025.11.00380
  • Receive Date:2025-11-08
  • Online Date:2026-03-16
  • Published:2026-02-28
Article Data
Affiliations
History
  • Received:2025-11-08
  • Revised:2025-12-03
Funding
Affiliations
    1School of Economics and Management, Shenyang Aerospace University, Shenyang 110316, China
    2School of Business Administration, Northeastern University, Shenyang 110169, China
References
Share
https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2025.11.00380
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT