Objectives:This study aimed to investigate the dual mediating roles of psychological safety and reporting attitudes in the association between ethics-centered leadership and internal whistleblowing among nurses.Method...Objectives:This study aimed to investigate the dual mediating roles of psychological safety and reporting attitudes in the association between ethics-centered leadership and internal whistleblowing among nurses.Methods:A multicenter,cross-sectional study design was employed,involving a convenience sample of 273 nurses among five university hospitals from August to October 2024.Data were collected using a demographic questionnaire,Ethical Leadership Scale,Psychological Safety Scale,Positive Attitudes Toward Whistleblowing Scale,and Internal Whistleblowing Scale.Pearson correlation and structural equation model were conducted to test the hypothesized dual mediation model.Results:The average score of nurses for ethical leadership was 4.14±0.57,psychological safety was 3.80±0.64,reporting attitudes was 4.12±0.67,internal whistleblowing was 3.93±0.52.Ethical leadership had a significant effect on psychological safety(β=0.38,P<0.001),reporting attitudes(β=0.44,P<0.001),and internal whistleblowing(β=0.21,P=0.009).Furthermore,psychological safety(β=0.26,P<0.001)and reporting attitudes(β=0.27,P<0.001)significantly influenced internal whistleblowing among the nurses.The indirect effect of ethics-centered leadership on internal whistleblowing intermediated by psychological safety was significant(β=0.10,P<0.001).Similarly,reporting attitudes demonstrated a significant mediating effect(β=0.12,P=0.003).Conclusions:Ethical leadership encourages internal whistleblowing among nurses by fostering psychological safety and positive reporting attitudes.Therefore,healthcare managers should prioritize ethical leadership development,enhance psychological safety,and foster constructive reporting attitudes that enable nurses to report ethical violations confidently,without apprehension.展开更多
Due to the rapid progress of information technology, organizations anticipate significant changes in the planning, scheduling, and optimization aspects of operation and supply chain management (SCM) shortly. Two prima...Due to the rapid progress of information technology, organizations anticipate significant changes in the planning, scheduling, and optimization aspects of operation and supply chain management (SCM) shortly. Two primary types of risk have an impact on supply chain management and design. The first group deals with the difficulties in matching supply and demand, whereas the second group deals with disruptions to regular business operations. The essay offers a theoretical framework that combines the cooperative efforts of risk assessment and mitigation, which are critical for effectively handling potential supply chain interruptions. This content provides insightful viewpoints on the strategic resources and operational structure needed to improve organizational success. We utilized the partial least squares (PLS) method to address the problem of multicollinearity and measurement mistakes in examining cause-and-effect constructs. The statistical method, Least Squares (PLS), used in structural equation modeling, is based on partial variance. The Partial Least Squares (PLS) strategy uses a two-stage estimate procedure to calculate weights, loadings, and route estimations. Initially, several simple and complex regressions were performed with the provided model. The procedure was repeated until a solution was found, resulting in a set of weights used to determine the latent variable scores. In the second step, non-iterative PLS regression yields loadings, path coefficients, mean scores, and location parameters. According to the structural study, implementing Sustainable Supply Chain Management (SSCM) can significantly improve a business’s operational and financial performance. The findings offer a comprehensive understanding of several elements of supply chain management (SSCM), including information systems, organizational configurations, supply chain network architecture (SCND), and supply chain strategy (SCS). The supply chain is essential for effectively moving goods over great distances and encouraging cooperation between parties. Therefore, these connections are established precisely, quickly, and cheaply via a knowledgeable and efficient supply chain. Two key components are necessary for a supply chain (SC) to be successful: efficient collaboration and the smooth integration of information-sharing platforms.展开更多
Artificial intelligence(AI)technologies and sensors have recently received significant interest in intellectual agriculture.Accelerating the application of AI technologies and agriculture sensors in intellectual agric...Artificial intelligence(AI)technologies and sensors have recently received significant interest in intellectual agriculture.Accelerating the application of AI technologies and agriculture sensors in intellectual agriculture is urgently required for the growth of modern agriculture and will help promote smart agriculture.Automatic irrigation scheduling systems were highly required in the agricultural field due to their capability to manage and save water deficit irrigation techniques.Automatic learning systems devise an alternative to conventional irrigation management through the automatic elaboration of predictions related to the learning of an agronomist.With this motivation,this study develops a modified black widow optimization with a deep belief network-based smart irrigation system(MBWODBN-SIS)for intelligent agriculture.The MBWODBN-SIS algorithm primarily enables the Internet of Things(IoT)based sensors to collect data forwarded to the cloud server for examination purposes.Besides,the MBWODBN-SIS technique applies the deep belief network(DBN)model for different types of irrigation classification:average,high needed,highly not needed,and not needed.The MBWO algorithm is used for the hyperparameter tuning process.A wideranging experiment was conducted,and the comparison study stated the enhanced outcomes of the MBWODBN-SIS approach to other DL models with maximum accuracy of 95.73%.展开更多
文摘Objectives:This study aimed to investigate the dual mediating roles of psychological safety and reporting attitudes in the association between ethics-centered leadership and internal whistleblowing among nurses.Methods:A multicenter,cross-sectional study design was employed,involving a convenience sample of 273 nurses among five university hospitals from August to October 2024.Data were collected using a demographic questionnaire,Ethical Leadership Scale,Psychological Safety Scale,Positive Attitudes Toward Whistleblowing Scale,and Internal Whistleblowing Scale.Pearson correlation and structural equation model were conducted to test the hypothesized dual mediation model.Results:The average score of nurses for ethical leadership was 4.14±0.57,psychological safety was 3.80±0.64,reporting attitudes was 4.12±0.67,internal whistleblowing was 3.93±0.52.Ethical leadership had a significant effect on psychological safety(β=0.38,P<0.001),reporting attitudes(β=0.44,P<0.001),and internal whistleblowing(β=0.21,P=0.009).Furthermore,psychological safety(β=0.26,P<0.001)and reporting attitudes(β=0.27,P<0.001)significantly influenced internal whistleblowing among the nurses.The indirect effect of ethics-centered leadership on internal whistleblowing intermediated by psychological safety was significant(β=0.10,P<0.001).Similarly,reporting attitudes demonstrated a significant mediating effect(β=0.12,P=0.003).Conclusions:Ethical leadership encourages internal whistleblowing among nurses by fostering psychological safety and positive reporting attitudes.Therefore,healthcare managers should prioritize ethical leadership development,enhance psychological safety,and foster constructive reporting attitudes that enable nurses to report ethical violations confidently,without apprehension.
文摘Due to the rapid progress of information technology, organizations anticipate significant changes in the planning, scheduling, and optimization aspects of operation and supply chain management (SCM) shortly. Two primary types of risk have an impact on supply chain management and design. The first group deals with the difficulties in matching supply and demand, whereas the second group deals with disruptions to regular business operations. The essay offers a theoretical framework that combines the cooperative efforts of risk assessment and mitigation, which are critical for effectively handling potential supply chain interruptions. This content provides insightful viewpoints on the strategic resources and operational structure needed to improve organizational success. We utilized the partial least squares (PLS) method to address the problem of multicollinearity and measurement mistakes in examining cause-and-effect constructs. The statistical method, Least Squares (PLS), used in structural equation modeling, is based on partial variance. The Partial Least Squares (PLS) strategy uses a two-stage estimate procedure to calculate weights, loadings, and route estimations. Initially, several simple and complex regressions were performed with the provided model. The procedure was repeated until a solution was found, resulting in a set of weights used to determine the latent variable scores. In the second step, non-iterative PLS regression yields loadings, path coefficients, mean scores, and location parameters. According to the structural study, implementing Sustainable Supply Chain Management (SSCM) can significantly improve a business’s operational and financial performance. The findings offer a comprehensive understanding of several elements of supply chain management (SSCM), including information systems, organizational configurations, supply chain network architecture (SCND), and supply chain strategy (SCS). The supply chain is essential for effectively moving goods over great distances and encouraging cooperation between parties. Therefore, these connections are established precisely, quickly, and cheaply via a knowledgeable and efficient supply chain. Two key components are necessary for a supply chain (SC) to be successful: efficient collaboration and the smooth integration of information-sharing platforms.
基金The APC was funded by Universidad Tecnológica Indoamérica with funding code INV-0012-002.
文摘Artificial intelligence(AI)technologies and sensors have recently received significant interest in intellectual agriculture.Accelerating the application of AI technologies and agriculture sensors in intellectual agriculture is urgently required for the growth of modern agriculture and will help promote smart agriculture.Automatic irrigation scheduling systems were highly required in the agricultural field due to their capability to manage and save water deficit irrigation techniques.Automatic learning systems devise an alternative to conventional irrigation management through the automatic elaboration of predictions related to the learning of an agronomist.With this motivation,this study develops a modified black widow optimization with a deep belief network-based smart irrigation system(MBWODBN-SIS)for intelligent agriculture.The MBWODBN-SIS algorithm primarily enables the Internet of Things(IoT)based sensors to collect data forwarded to the cloud server for examination purposes.Besides,the MBWODBN-SIS technique applies the deep belief network(DBN)model for different types of irrigation classification:average,high needed,highly not needed,and not needed.The MBWO algorithm is used for the hyperparameter tuning process.A wideranging experiment was conducted,and the comparison study stated the enhanced outcomes of the MBWODBN-SIS approach to other DL models with maximum accuracy of 95.73%.
