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Wang L, Bari MW, Shaheen S, Zhong K. Impostor leader and knowledge hiding: Attachment avoidance as underlying mechanism. Acta Psychol (Amst) 2024; 244:104188. [PMID: 38368783 DOI: 10.1016/j.actpsy.2024.104188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 02/10/2024] [Accepted: 02/12/2024] [Indexed: 02/20/2024] Open
Abstract
Impostorism and knowledge-hiding behaviors negatively impact employees and organizational performance. This study examines the association between impostor leaders and knowledge hiding (evasive hiding, playing dumb, and rationalized hiding). Attachment avoidance is discussed as a mediator between impostor leaders and knowledge-hiding. For quantitative analyses, this study collected the data from 429 individuals with two time lags by sharing the survey instrument link on different organizations' randomly selected official media pages. After obtaining approval from the administrators of these pages, leaders and subordinates from these organizations were asked to participate in the study. The partial least squares structural equation modeling method is employed with Smartpls-4 software for data analyses. The findings indicate that impostor leaders promote knowledge hiding in subordinates. However, impostor leaders highly promote rationalized hiding behavior in subordinates. Attachment avoidance mediates the relationship between the impostor leader and knowledge-hiding behaviors. However, the highest mediation relationship exists between an impostor leader and playing dumb behavior in subordinates. This study strengthens the generalizability of the social exchange theory. The implications mentioned in this study are beneficial in understanding and dealing with the Impostorism and knowledge-hiding phenomena.
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Affiliation(s)
- Laibin Wang
- School of Business, Chizhou University, Chizhou, China; Center for International Education, Philippines Christian University, Manila, Philippines.
| | | | - Sadia Shaheen
- Lyallpur Business School, Government College University Faisalabad, Pakistan.
| | - Kaiyang Zhong
- College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China.
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Jahr A, Meza J, Munoz-Gama J, Herskovic L, Herskovic V. Cluster and trajectory analysis of motivation in an emergency remote programming course. PeerJ Comput Sci 2024; 10:e1787. [PMID: 38259902 PMCID: PMC10803009 DOI: 10.7717/peerj-cs.1787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 12/08/2023] [Indexed: 01/24/2024]
Abstract
Emergency remote teaching is a temporary change in the way education occurs, whereby an educational system unexpectedly becomes entirely remote. This article analyzes the motivation of students undertaking a university course over one semester of emergency remote teaching in the context of the COVID-19 pandemic. University students undertaking a programming course were surveyed three times during one semester, about motivation and COVID concern. This work explores which student motivation profiles existed, how motivation evolved, and whether concern about the pandemic was a factor affecting motivation throughout the course. The most adaptive profile was highly motivated, more prepared and less frustrated by the conditions of the course. However, this cluster experienced the highest levels of COVID-19 concern. The least adaptive cluster behaved as a mirror image of the most adaptive cluster. Clear differences were found between the clusters that showed the most and least concern about COVID-19.
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Affiliation(s)
- Andres Jahr
- Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Javiera Meza
- Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Jorge Munoz-Gama
- Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Luis Herskovic
- Escuela de Gobierno, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Valeria Herskovic
- Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile
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Peng P, Chen S, Hao Y, He L, Wang Q, Zhou Y, Tang YY, Yang WF, Wu Q, Liu T. Network of burnout, depression, anxiety, and dropout intention in medical undergraduates. Int J Soc Psychiatry 2023; 69:1520-1531. [PMID: 37092762 DOI: 10.1177/00207640231166629] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
BACKGROUND Burnout, depression, and anxiety are highly prevalent among medical students, which often leads to their attrition. We aim to assess the inter-relationships of depression, burnout, and anxiety symptoms with dropout intention among Chinese medical undergraduates using the network analysis. METHOD A total of 3,648 Chinese medical undergraduates were recruited through snowball sampling. Learning burnout scale, 9-item Patient Health Questionnaire (PHQ-9), and General Anxiety Disorder Scale (GAD-7) was used to assess burnout, depression, and anxiety symptoms, respectively. We used the EBICglasso model to estimate the network. We compared the network based on gender, study phase, and clinical experience. RESULTS After removing repeated submissions and incorrect responses to the trap question, 3,536 participants were included in the final analysis. The prevalence of burnout, depression, anxiety, and dropout intention was 38, 62.7, 38.4, and 39% respectively, which is consistent with previous findings. Network analysis suggested that anxiety and depression items clustered together and displayed several strong bridge connections, while burnout items formed another cluster. All the strongest edges were within the respective distress. Cynicism symptoms 'I am fed up with study' and 'I want to study but I feel that studying is boring' were the most central symptoms, while 'fatigue' and 'worthless' were the bridge symptoms within the burnout-depression-anxiety network. Other central symptoms included 'worthless', 'I can handle my courses', 'nervous', and 'uncontrollable worry'. Cynicism symptoms 'I am interested in my major' and 'I feel that the knowledge I have learned is useless' were mostly related to dropout intention. Gender, study phase, and clinical experience didn't affect the global strength of the burnout-depression-anxiety network. CONCLUSION Our results indicated the predominance of cynicism symptoms within the burnout-depression-anxiety network and its substantial impact on dropout intention, suggesting that early detection and intervention for cynicism symptoms in Chinese medical students are in urgent need. Other central and bridge symptoms might also serve as potential targets for the prevention and treatment of burnout, depression, and anxiety among medical students. For example, studies suggest cognitive-behavioral therapy could quickly improve 'worthless', which might be beneficial in treating burnout, depression, and anxiety in medical students.
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Affiliation(s)
- Pu Peng
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
| | - Shubao Chen
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuzhu Hao
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
| | - Li He
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
| | - Qianjin Wang
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
| | - Yanan Zhou
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
- Department of Psychiatry, Hunan Brain Hospital (Hunan Second People's Hospital), Changsha, China
| | - Yi-Yuan Tang
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - Winson Fuzun Yang
- Meditation Research Program, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Qiuxia Wu
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
| | - Tieqiao Liu
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
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Gong Z, Wang H, Zhong M, Shao Y. College students' learning stress, psychological resilience and learning burnout: status quo and coping strategies. BMC Psychiatry 2023; 23:389. [PMID: 37268888 DOI: 10.1186/s12888-023-04783-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/13/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND The relationships of college students' learning stress, psychological resilience and learning burnout remain unclear. We aimed to investigate the status quo and relationship of college students' learning stress, psychological resilience and learning burnout, to provide insights to the management and nursing care of college students. METHODS From September 1 to October 31, 2022, students in our college were selected by stratified cluster sampling and underwent survey with the learning stress scale, college students' learning burnout scale and the psychological resilience scale of college students. RESULTS A total of 1680 college students were surveyed in this study. The score of learning burnout was positively correlated with the score of learning stress (r = 0.69), and negatively correlated with the score of psychological resilience (r = 0.59), and the score of learning stress was negatively correlated with the score of psychological resilience (r = 0.61). Learning pressure was correlated with the age(r=-0.60) and monthly family income(r=-0.56), the burnout was correlated with the monthly family income(r=-0.61), and psychological resilience was correlated with the age(r = 0.66) (all P < 0.05). Psychological resilience played an intermediary role in the prediction of learning burnout by learning stress, with an total intermediary role of-0.48, accounting for 75.94% of the total effect. CONCLUSIONS Psychological resilience is the mediating variable of the influence of learning stress on learning burnout. College managers should take various effective measures to improve college students' psychological resilience to reduce college students' learning burnout.
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Affiliation(s)
- Zhen Gong
- College of E-commerce, Zhejiang Business College, Hangzhou, 310053, Zhejiang, China
| | - Huadi Wang
- College of E-commerce, Zhejiang Business College, Hangzhou, 310053, Zhejiang, China
| | - Mingxia Zhong
- College of E-commerce, Zhejiang Business College, Hangzhou, 310053, Zhejiang, China
| | - Yuling Shao
- Center for Rehabilitation Medicine, Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, Department of Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College,, Hangzhou, 310024, Zhejiang, China.
- , No. 158 Shangtang road, Gongshu district, Hangzhou, Zhejiang Province, China.
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