Algorithmic technological progress presents both opportunities and challenges for organizational management. The success of online labor platforms hinges on algorithmic control, making it imperative to explore how this control affects gig workers' prosocial service behaviors. Drawing from affective event theory, our study delves into the factors influencing gig workers' prosocial service behaviors in the online labor platform setting. We utilize the challenge-hindrance appraisal framework to highlight the pivotal role of algorithmic control. To rigorously test our hypotheses, we gathered empirical data from an online questionnaire survey of 660 gig workers. Our results indicate that challenge appraisals and hindrance appraisals in regard to platform algorithm control have a nuanced dual impact on gig workers' prosocial service behaviors. This relationship is clarified by the mediating function of work engagement. A challenge appraisal of platform algorithmic control can positively influence gig workers' prosocial service behaviors. However, hindrance appraisal of platform algorithmic control can negatively influence gig workers' prosocial service behaviors. Interestingly, workplace interpersonal capitalization boosts the effect of challenge appraisal on employees' prosocial service behaviors. However, it does not mitigate the adverse effects of hindrance appraisal on such behaviors. This study has multiple theoretical implications, and it also provides valuable practical insights into organizational management.
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http://dx.doi.org/10.3390/bs14060497 | DOI Listing |
Sci Rep
December 2024
Center for Experimental Economics for Education, Shaanxi Normal University, 620 West Chang'an Street, Chang'an District, Xi'an, Shaanxi Province, China.
Adolescents in affluent nations have experienced a decline in sleep duration, associated with adverse outcomes such as behavioral issues and health concerns. However, the connection between sleep and mental well-being during adolescence, particularly in developing regions like rural China, remains underexplored. A cross-sectional study of 18,516 adolescents in 124 junior high schools in Ningxia, China, utilized the strengths and difficulties questionnaire to assess mental health.
View Article and Find Full Text PDFEarly Interv Psychiatry
December 2024
Department of Educational Sciences, University of La Rioja, Logroño, Spain.
Background: The transdiagnostic and network model approaches to psychopathology have emerged as an alternative to taxonomic systems. The main goal was to examine the network structure of the transdiagnostic dimensions of emotional disorders in adolescents with subclinical emotional symptoms. In addition, cross-sectional network analyses were conducted to investigate the relationships between transdiagnostic dimensions, psychopathology, and socio-emotional adjustment.
View Article and Find Full Text PDFArch Sex Behav
November 2024
Human Development and Family Sciences, University of Delaware, Newark, DE, USA.
People with intellectual disability face a variety of epistemic injustices-systems of knowledge and educational inequality-related to their access to sex education and perceptions of their sexuality. Sex educators are in a position to address these injustices; however, they may not be fully aware of their own epistemic ethics. Furthermore, there is little theoretical understanding of how sex educators provide instruction within an environment that exhibits hostility toward the sexual expression of those with intellectual disability.
View Article and Find Full Text PDFDigit Health
October 2024
Participatory eHealth and Health Data Research Group, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Background: Worldwide, patients are increasingly being offered access to their full online clinical records including the narrative reports written by clinicians (so-called "open notes"). Against these developments, there is growing interest in the use of generative artificial intelligence (AI) such as OpenAI's ChatGPT to co-assist clinicians with patient-facing documentation.
Objective: This study aimed to explore the effectiveness of OpenAI's ChatGPT 3.
Transplant Proc
October 2023
General Surgery Service, Virgen de la Arrixaca University Hospital, Murcia, Spain; Instituto Murciano de Investigaciones Biosanitaria IMIB-Arrixaca. Murcia, Spain; Department of Surgery, Pediatrics, Gynecology and Obstetrics, School of Medicine, University of Murcia, Murcia, Spain.
Background: The population over 65 years of age is key in the decision to donate organs in its different aspects. We sought to analyze the attitude toward organ donation from a relative among people over 65 years of age and to determine the psychosocial variables that may influence their attitude.
Methods: The study population consisted of citizens over 65 years of age.
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