To achieve high quality of service （QoS） on computational grids, the QoS-aware job scheduling is investigated for a hierarchical decentralized grid architecture that consists of multilevel schedulers. An integrated ...To achieve high quality of service （QoS） on computational grids, the QoS-aware job scheduling is investigated for a hierarchical decentralized grid architecture that consists of multilevel schedulers. An integrated QoS-aware job dispatching policy is proposed, which correlates priorities of incoming jobs used for job selecting at the local scheduler of the grid node with the job dispatching policies at the global scheduler for computational grids. The stochastic high-level Petri net （SHLPN） model of a two-level hierarchy computational grid architecture is presented, and a model refinement is made to reduce the complexity of the model solution. A performance analysis technique based on the SHLPN is proposed to investigate the QoS-aware job scheduling policy. Numerical results show that the QoS-aware job dispatching policy outperforms the QoS-unaware job dispatching policy in balancing the high-priority jobs, and thus enables priority-based QoS.展开更多
The purpose of this research is to investigate the interrelationships among the three behavioural constructs of job involvement, job satisfaction and organizational commitment. Accordingly, a structural model is devel...The purpose of this research is to investigate the interrelationships among the three behavioural constructs of job involvement, job satisfaction and organizational commitment. Accordingly, a structural model is developed to delineate the interactions among these constructs and explore the mediating effect of job satisfaction on the relationship between job involvement and organizational commitment. A questionnaire-based survey was designed to test the aforementioned model based on a dataset of 315 employees working in twelve out of twenty six banks operating in the capital city of Jordan, Amman. The model and posited hypotheses were tested using structural equation modelling analysis. The results indicated that job involvement positively and significantly affects job satisfaction and organizational commitment. Additionally, job satisfaction proved to be positively related to organizational commitment. Furthermore, job satisfaction positively and significantly partially mediated the relationship between job involvement and organizational commitment.展开更多
The Big Five Theory is often regarded as psychology’s most influential personality theoretical approach.The goal of this study is to examine the role of the Big Five Theory in the workplace,especially which personali...The Big Five Theory is often regarded as psychology’s most influential personality theoretical approach.The goal of this study is to examine the role of the Big Five Theory in the workplace,especially which personality qualities are more likely to predict work success.Which traits should companies emphasize throughout the hiring and selection processes?How can businesses use the Big Five personality model to locate employees that are more productive,efficient,and devoted to the organization’s goals?A detailed assessment of existing recent research addresses the aforementioned issues.Following a review of many current articles on the subject,it was established that using this model had a positive influence on individual and group performance,working relationships,manager work performance,and workplace innovation.展开更多
This study proposes a new framework as job burden-capital model for comprehensive assessment on occupational stress. 1618 valid samples were recruited from electronic manufacturing service industry in Hunan province b...This study proposes a new framework as job burden-capital model for comprehensive assessment on occupational stress. 1618 valid samples were recruited from electronic manufacturing service industry in Hunan province by self-rated questionnaires after written consent. Structural equation model analysis was employed to verify the model by the data collected. The final fitting model has satisfactory fitting goodness （CMIN/DF=5.78, AGFI=0.937, NNFI=0.960, IF1=0.968, RMSEA=0.054）. Both of the measurement model and structural model have acceptable path Ioadings. Job burden and capital could either directly affect occupational outcomes or indirectly influence them through equation personality.展开更多
The purpose of this paper is to use the MaxDiff model to explore the factors influencing the work motivation of staff in certain government agencies in Jiangmen City,and to conduct relevant empirical analyses.The stud...The purpose of this paper is to use the MaxDiff model to explore the factors influencing the work motivation of staff in certain government agencies in Jiangmen City,and to conduct relevant empirical analyses.The study aims to propose strategies for improving work motivation among these staff members.The results indicate that the most significant factors affecting the work motivation of staff in Jiangmen government agencies are salary and remuneration,additional welfare benefits,and the power to make decisions about their own work.In contrast,factors such as a sense of belonging to the work unit,recognition of their work,and job security are less important.Therefore,it is recommended that government agencies in Jiangmen City increase the salaries and benefits of their staff and provide them with more decision-making power.This approach will stimulate their desire to work,enhance their motivation,improve the efficiency of government agencies,and elevate the level of public service.Ultimately,these measures will support the construction of a harmonious,stable,and orderly society.展开更多
Due to the NP-hardness of the job shop scheduling problem (JSP), many heuristic approaches have been proposed;among them is the genetic algorithm (GA). In the literature, there are eight different GA representations f...Due to the NP-hardness of the job shop scheduling problem (JSP), many heuristic approaches have been proposed;among them is the genetic algorithm (GA). In the literature, there are eight different GA representations for the JSP;each one aims to provide subtle environment through which the GA’s reproduction and mutation operators would succeed in finding near optimal solutions in small computational time. This paper provides a computational study to compare the performance of the GA under six different representations.展开更多
To understand how to create a stabile workforce achieving excellent quality of care and patient safety, associations between practice environments and nurse and patient outcomes have been widely studied in acute and p...To understand how to create a stabile workforce achieving excellent quality of care and patient safety, associations between practice environments and nurse and patient outcomes have been widely studied in acute and psychiatric care hospitals. Knowing residential aged care services are challenged to tackle complex patients’ needs within certain working conditions, to what extent do nurses perceive their practice environment in geriatric care? In a cross-sectional survey, a sample of 709 registered nurses, licensed practical nurses and nurse aides employed in 25 residential aged care services completed a structured questionnaire composed of various validated instruments measuring nurse practice environment factors, nurse work characteristics, burnout, nurse reported job outcomes, quality and patient adverse events. Associations between variables across residential aged care services were examined using multilevel modelling techniques. Associations were identified between practice environment factors, work characteristics, burnout dimensions, and reported outcome variables across residential aged care services. Multiple multilevel models showed independent variables (nursing management at the unit level, workload, decision latitude, social capital, emotional exhaustion and depersonalization) as important predictors of nurse reported outcome (job satisfaction, turnover intensions), quality of care (at the unit, the last shift, and in the service within the last year) and patient adverse events (patient and family complaints, patient falls, pulmonary and urinary tract infections, and medications errors). Results suggested the importance of nurse practice environment factors, nurse work characteristics and perception of burnout on nurse and patient outcomes across their nurse practice environment. Challenging the complex care of a vulnerable and frail population executives, physicians, nursing leaders as well as nurses in their nurse practice environment shared responsibility to create working conditions achieving excellent quality and patient safety.展开更多
Due to NP-Hard nature of the Job Shop Scheduling Problems (JSP), exact methods fail to provide the optimal solutions in quite reasonable computational time. Due to this nature of the problem, so many heuristics and me...Due to NP-Hard nature of the Job Shop Scheduling Problems (JSP), exact methods fail to provide the optimal solutions in quite reasonable computational time. Due to this nature of the problem, so many heuristics and meta-heuristics have been proposed in the past to get optimal or near-optimal solutions for easy to tough JSP instances in lesser computational time compared to exact methods. One of such heuristics is genetic algorithm (GA). Representations in GA will have a direct impact on computational time it takes in providing optimal or near optimal solutions. Different representation schemes are possible in case of Job Scheduling Problems. These schemes in turn will have a higher impact on the performance of GA. It is intended to show through this paper, how these representations will perform, by a comparative analysis based on average deviation, evolution of solution over entire generations etc.展开更多
A modified shifting bottleneck algorithm was proposed to solve scheduling problems of a large-scale job shop.Firstly,a new structured algorithm was employed for sub-problems so as to reduce the computational burden an...A modified shifting bottleneck algorithm was proposed to solve scheduling problems of a large-scale job shop.Firstly,a new structured algorithm was employed for sub-problems so as to reduce the computational burden and suit for large-scale instances more effectively.The modified cycle avoidance method,incorporating with the disjunctive graph model and topological sort algorithm,was applied to guaranteeing the feasibility of solutions with considering delayed precedence constraints.Finally,simulation experiments were carried out to verify the feasibility and effectiveness of the modified method.The results demonstrate that the proposed algorithm can solve the large-scale job shop scheduling problems(JSSPs) within a reasonable period of time and obtaining satisfactory solutions simultaneously.展开更多
基金The National Natural Science Foundation of China(No60673054,90412012)
文摘To achieve high quality of service （QoS） on computational grids, the QoS-aware job scheduling is investigated for a hierarchical decentralized grid architecture that consists of multilevel schedulers. An integrated QoS-aware job dispatching policy is proposed, which correlates priorities of incoming jobs used for job selecting at the local scheduler of the grid node with the job dispatching policies at the global scheduler for computational grids. The stochastic high-level Petri net （SHLPN） model of a two-level hierarchy computational grid architecture is presented, and a model refinement is made to reduce the complexity of the model solution. A performance analysis technique based on the SHLPN is proposed to investigate the QoS-aware job scheduling policy. Numerical results show that the QoS-aware job dispatching policy outperforms the QoS-unaware job dispatching policy in balancing the high-priority jobs, and thus enables priority-based QoS.
文摘The purpose of this research is to investigate the interrelationships among the three behavioural constructs of job involvement, job satisfaction and organizational commitment. Accordingly, a structural model is developed to delineate the interactions among these constructs and explore the mediating effect of job satisfaction on the relationship between job involvement and organizational commitment. A questionnaire-based survey was designed to test the aforementioned model based on a dataset of 315 employees working in twelve out of twenty six banks operating in the capital city of Jordan, Amman. The model and posited hypotheses were tested using structural equation modelling analysis. The results indicated that job involvement positively and significantly affects job satisfaction and organizational commitment. Additionally, job satisfaction proved to be positively related to organizational commitment. Furthermore, job satisfaction positively and significantly partially mediated the relationship between job involvement and organizational commitment.
文摘The Big Five Theory is often regarded as psychology’s most influential personality theoretical approach.The goal of this study is to examine the role of the Big Five Theory in the workplace,especially which personality qualities are more likely to predict work success.Which traits should companies emphasize throughout the hiring and selection processes?How can businesses use the Big Five personality model to locate employees that are more productive,efficient,and devoted to the organization’s goals?A detailed assessment of existing recent research addresses the aforementioned issues.Following a review of many current articles on the subject,it was established that using this model had a positive influence on individual and group performance,working relationships,manager work performance,and workplace innovation.
基金supported by the Science and Technology Fund for Young Scholars of the national institute of occupational health and poison control(No.JC201601)
文摘This study proposes a new framework as job burden-capital model for comprehensive assessment on occupational stress. 1618 valid samples were recruited from electronic manufacturing service industry in Hunan province by self-rated questionnaires after written consent. Structural equation model analysis was employed to verify the model by the data collected. The final fitting model has satisfactory fitting goodness （CMIN/DF=5.78, AGFI=0.937, NNFI=0.960, IF1=0.968, RMSEA=0.054）. Both of the measurement model and structural model have acceptable path Ioadings. Job burden and capital could either directly affect occupational outcomes or indirectly influence them through equation personality.
文摘The purpose of this paper is to use the MaxDiff model to explore the factors influencing the work motivation of staff in certain government agencies in Jiangmen City,and to conduct relevant empirical analyses.The study aims to propose strategies for improving work motivation among these staff members.The results indicate that the most significant factors affecting the work motivation of staff in Jiangmen government agencies are salary and remuneration,additional welfare benefits,and the power to make decisions about their own work.In contrast,factors such as a sense of belonging to the work unit,recognition of their work,and job security are less important.Therefore,it is recommended that government agencies in Jiangmen City increase the salaries and benefits of their staff and provide them with more decision-making power.This approach will stimulate their desire to work,enhance their motivation,improve the efficiency of government agencies,and elevate the level of public service.Ultimately,these measures will support the construction of a harmonious,stable,and orderly society.
文摘Due to the NP-hardness of the job shop scheduling problem (JSP), many heuristic approaches have been proposed;among them is the genetic algorithm (GA). In the literature, there are eight different GA representations for the JSP;each one aims to provide subtle environment through which the GA’s reproduction and mutation operators would succeed in finding near optimal solutions in small computational time. This paper provides a computational study to compare the performance of the GA under six different representations.
文摘To understand how to create a stabile workforce achieving excellent quality of care and patient safety, associations between practice environments and nurse and patient outcomes have been widely studied in acute and psychiatric care hospitals. Knowing residential aged care services are challenged to tackle complex patients’ needs within certain working conditions, to what extent do nurses perceive their practice environment in geriatric care? In a cross-sectional survey, a sample of 709 registered nurses, licensed practical nurses and nurse aides employed in 25 residential aged care services completed a structured questionnaire composed of various validated instruments measuring nurse practice environment factors, nurse work characteristics, burnout, nurse reported job outcomes, quality and patient adverse events. Associations between variables across residential aged care services were examined using multilevel modelling techniques. Associations were identified between practice environment factors, work characteristics, burnout dimensions, and reported outcome variables across residential aged care services. Multiple multilevel models showed independent variables (nursing management at the unit level, workload, decision latitude, social capital, emotional exhaustion and depersonalization) as important predictors of nurse reported outcome (job satisfaction, turnover intensions), quality of care (at the unit, the last shift, and in the service within the last year) and patient adverse events (patient and family complaints, patient falls, pulmonary and urinary tract infections, and medications errors). Results suggested the importance of nurse practice environment factors, nurse work characteristics and perception of burnout on nurse and patient outcomes across their nurse practice environment. Challenging the complex care of a vulnerable and frail population executives, physicians, nursing leaders as well as nurses in their nurse practice environment shared responsibility to create working conditions achieving excellent quality and patient safety.
文摘Due to NP-Hard nature of the Job Shop Scheduling Problems (JSP), exact methods fail to provide the optimal solutions in quite reasonable computational time. Due to this nature of the problem, so many heuristics and meta-heuristics have been proposed in the past to get optimal or near-optimal solutions for easy to tough JSP instances in lesser computational time compared to exact methods. One of such heuristics is genetic algorithm (GA). Representations in GA will have a direct impact on computational time it takes in providing optimal or near optimal solutions. Different representation schemes are possible in case of Job Scheduling Problems. These schemes in turn will have a higher impact on the performance of GA. It is intended to show through this paper, how these representations will perform, by a comparative analysis based on average deviation, evolution of solution over entire generations etc.
基金National Natural Science Foundations of China(Nos.71471135,61273035)
文摘A modified shifting bottleneck algorithm was proposed to solve scheduling problems of a large-scale job shop.Firstly,a new structured algorithm was employed for sub-problems so as to reduce the computational burden and suit for large-scale instances more effectively.The modified cycle avoidance method,incorporating with the disjunctive graph model and topological sort algorithm,was applied to guaranteeing the feasibility of solutions with considering delayed precedence constraints.Finally,simulation experiments were carried out to verify the feasibility and effectiveness of the modified method.The results demonstrate that the proposed algorithm can solve the large-scale job shop scheduling problems(JSSPs) within a reasonable period of time and obtaining satisfactory solutions simultaneously.
