Xiaohong Wang

Xiaohong Wang


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2021 in Science of The Total Environment
Verified
Journal Article
Closed access
YFYanchao Feng
Yanchao Feng
XWXiaohong Wang
Xiaohong Wang
ZLZhou Liang
Zhou Liang


24 June 2021 in Scientometrics
Verified
Journal Article
Closed access
PDF file
SZShaopeng Zhang
Shaopeng Zhang
XWXiaohong Wang
Xiaohong Wang

16 June 2021 in Technology Analysis & Strategic Management
Verified
Journal Article
Closed access
Shaopeng ZhangShaopeng Zhang
Shaopeng Zhang
XWXiaohong Wang
Xiaohong Wang
BZBen Zhang
Ben Zhang
The implementation of the innovative city pilot policy (ICPP) is conducive to promoting the urban industry–university–research collaborative innovation, but there is no clear answer to how industry–university–research knowledge flow is affected by the policy. Based on the knowledge flow process divided into the knowledge creation stage and knowledge transfer stage, this paper uses the two-stage Data Envelopment Analysis (DEA) model to measure the dual efficiency of urban industry–university–research knowledge creation and knowledge transfer. And the paper also adopts the spatial difference-in-difference (SDID) model to study the impact mechanism of ICPP on the knowledge flow dual efficiency. The results show that there are positive spatial spillover effect of the knowledge creation efficiency (KCE) and knowledge transfer efficiency (KTE). And the effects of ICPP on industry–university–research KCE and KTE are both manifested as the promoting impact. Furthermore, ICPP has a significantly positive impact on the urban innovation atmosphere (UIA), and UIA plays a partial mediating role in the impact mechanism of ICPP on KCE and complete mediating role in the relationship of ICPP and KTE.


15 October 2019 in Management Decision
Verified
Journal Article
Closed access
FXFeng Xu
Feng Xu
XWXiaohong Wang
Xiaohong Wang
Purpose: The mechanism of leadership’s impact on dynamic capabilities has aroused widespread interest, but few studies focus on transactional leadership, especially empirical research by micro foundations in the R&D departments from collaborative innovation alliances. The purpose of this paper is to investigate how the mechanism of transactional leadership affects dynamic capabilities based on the mediating effect of regulatory focus.Design/methodology/approach: In order to better illustrate the role of transactional leadership on dynamic capabilities, the authors introduced regulatory focus as a mediator based on previous research. A sample of 245 dyads comprised of full-time employees and their immediate supervisors was collected from the innovation teams of industry-university alliances through questionnaires in China and analyzed via hierarchical regression method. Non-response bias and endogeneity testing were also conducted to confirm the validity of the findings.Findings: Contingency-reward behavior promotes the development of employee sensing and seizing capability. Management-by-exception promotes the development of employee reconfiguration capability. Promotion focus positively mediates the relationship between contingency-reward and sensing-seizing capability. Prevention focus positively mediates the relationship between management-by-exception and sensing-seizing capability. In addition, management-by-exception is also positively related to sensing capability and promotion focus is positively related to reconfiguration capability.Originality/value: This paper confirmed different dimensions of transactional leadership favor different dimensions of dynamic capabilities based on different dimensions of regulatory focus, which enriches the theory of strategic leadership and dynamic capabilities, and is conducive to the management of collaborative innovation in technological innovation alliances.