RETRACTED ARTICLE: Cross-level impact of employees’ knowledge management competence and team innovation atmosphere on innovation performance

Zhao, Jing; Wu, Cisheng

doi:10.1007/s10479-021-04328-1

Cited by 7 publications

(4 citation statements)

References 44 publications

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“…Social support theory believes that individuals or families are in trouble because their social support network is "broken" [43,44]. Support network, community support network, national support network, and social support network are analyzed to provide the basis for social work intervention [45][46][47].…”

Section: Reflections On the Three No Elderly Groups In Welfarementioning

confidence: 99%

Evaluation and Analysis of Elderly Mental Health Based on Artificial Intelligence

2023

Occupational Therapy International

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Objective. The purpose is to understand the depression status of the elderly in the community, explore its influencing factors, formulate a comprehensive psychological intervention plan according to the influencing factors, implement demonstration psychological intervention, and evaluate and feedback the effect, so as to provide a reference for improving the mental health of the elderly. Method. In order to make the output of different emotional data in LSTM more discriminative, a method to dynamically filter the output of LSTM is proposed. Combining the methods of Attention-LSTM, time-dimensional AI attention, and feature-dimensional AI attention, the best model in this paper is obtained. The multistage stratified cluster sampling method was used to conduct a questionnaire survey on the elderly aged 60 and above in a certain area, including the general demographic characteristics questionnaire of the elderly, the self-rating scale of mental health symptoms, and the health self-management ability of adults. All data were entered into a database using Excel software, and SPSS 19.0 statistical software was used for statistical analysis. Results/Discussion. The detection rate of depression ( GDS ≥ 11 points) among the elderly in a community in a certain area was 39.38%. Multivariate logistic regression analysis showed that family history of mental illness, more negative life events, decreased ability of daily living, living alone, and suffering from physical diseases in the past six months were the risk factors for depression in the elderly. Community health education can partially alleviate depression in the elderly. The detection rate and degree of depression of the elderly in the comprehensive psychological intervention group were significantly lower than those in the control group, and the difference was statistically significant ( P < 0.05 ).

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Section: Reflections On the Three No Elderly Groups In Welfarementioning

confidence: 99%

Evaluation and Analysis of Elderly Mental Health Based on Artificial Intelligence

2023

Occupational Therapy International

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“…Organizational support is a critical factor that can influence an individual's willingness to seek feedback (Minnikin et al, 2021). It can encourage individuals to feel confident in seeking feedback and improve their ability to clarify work standards, job cognition, and judgment (Phankhong et al, 2020;Zhang et al, 2021;Zhao & Wu, 2021).…”

Section: Organizational Innovation Climate and Feedback-seeking Behaviormentioning

confidence: 99%

Influence of Organizational Innovation Climate on Creativity and the Mediating Role of Feedback-Seeking Behavior—A Case Study of University Teachers in Hebei, China

Du¹,

Chang²

2023

IJLTER

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The organization of an innovative climate is essential for the development of creativity. This study investigated the impact of an innovative climate on creativity among university teachers in Hebei, China, and examined feedback-seeking behavior as a mediating variable. An intermediary model was built to test the mediating role of feedback-seeking behavior in the relationship between an innovative climate and creativity, using AMOS software to analyze the questionnaire data of 356 university teachers in Hebei. The mediating model consists of three variables, which are an innovative climate, feedback-seeking behavior, and creativity. This study examines the relationship between an innovative climate, feedback-seeking behavior, and creativity among university teachers in Hebei, China. The study found that a positive innovative climate was significantly associated with higher levels of creative teaching and research skills among university teachers in Hebei, and that this relationship was partially mediated by feedback-seeking behavior. In conclusion, this study highlights the crucial role of an innovative climate and feedback-seeking behavior in promoting creativity among university teachers in Hebei and offers practical implications for higher education institutions to cultivate a more innovative and creative culture.

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“…Team innovation climate has a direct impact on innovation performance, rather than a moderating effect. Therefore, the creation of an innovative atmosphere at the team level should be emphasized, and the cross-level coordination should have a lasting impact on innovation performance [ 39 ]. This is compatible with the suggestion of Chetty & Holm [ 40 ] that networks can help firms expose themselves to new opportunities, obtain knowledge, learn from experiences and benefit from the synergistic effect of pooled resources.…”

Section: Introductionmentioning

confidence: 99%

Structured mathematical modelling on innovation management in project-oriented small construction firms

Wang¹,

Tang²,

Mo³

et al. 2023

Heliyon

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RETRACTED ARTICLE: Cross-level impact of employees’ knowledge management competence and team innovation atmosphere on innovation performance

Cited by 7 publications

References 44 publications

Evaluation and Analysis of Elderly Mental Health Based on Artificial Intelligence

Evaluation and Analysis of Elderly Mental Health Based on Artificial Intelligence

Influence of Organizational Innovation Climate on Creativity and the Mediating Role of Feedback-Seeking Behavior—A Case Study of University Teachers in Hebei, China

Structured mathematical modelling on innovation management in project-oriented small construction firms

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