ArticleJournal of environmental and public health2022
Influence of Knowledge-Based Employee Incentive Construction on Innovation Performance Using Psychological Capital.
Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- The impact of entrepreneurial team psychological capital on innovation performance: The mediating role of knowledge sharing and knowledge hiding.Frontiers in psychology · 2023Article
- Retracted: Influence of Knowledge-Based Employee Incentive Construction on Innovation Performance Using Psychological Capital.Journal of environmental and public health · 2023Article
Corrections and comments
- Retraction · 2023-09-27Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/EE66A417A8164E643C1CA96DC7F93B
- Retracted
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Driven by the Silk Road Economic Belt idea, Xinjiang Uygur Autonomous Region can fully play its regional advantages and innovate the open economic system. It can transform and upgrade industrial structures with strong regional characteristics and advantages in Shihezi. Objective: The purpose is to explore the impact of knowledge-based employee incentive mechanism (EIM) on innovation performance. It is hoped to innovate the knowledge-based worker (KBW) management in Shihezi enterprises. Methods: Based on the psychological theory, the actual production, and living conditions in Shihezi, a questionnaire survey is conducted on the KBWs of typical enterprises in Shihezi. The questionnaire is designed by considering the characteristics of KBWs in Shihezi City under the Development Strategy of Western Chinese Cities. In addition, relevant structural equation models and hypotheses are proposed to comprehensively explain the relationship between psychological capital (PsyCap), EIM, and employee innovation performance (EIP). Results: Among the KBWs of Shihezi enterprises surveyed, the proportion of male and female employees is basically balanced, and both groups have bachelor's degrees or above. They are mostly young, with a relatively short working year. Most employees are in the rising stage of career development. The overall scores of KBWs on the PsyCap, EWM, and EIP scales are all above 3.5, a high overall score. Model analysis and hypothesis verification show that Shihezi knowledge-based EIM significantly affects EIP and PsyCap. The PsyCap has a positive impact on EIP. The KBWs' PsyCap plays an intermediary role in EIP. Conclusion: The research results provide an objective reference for Shihezi enterprises to improve the innovation performance of KBWs. It enriches the theoretical research of Shihezi enterprise innovation and provides a theoretical basis to improve collaborative innovation performance.
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Registered trials
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.