| GROUP SIZE AND PARALLELISM EFFECTS IN TASKS WITHHETEROGENEOUS LEVELS OF DIFFICULTY：A STOCHASTIC ORDER APPROACH |
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| 引用本文： | Yigal GERCHAK. GROUP SIZE AND PARALLELISM EFFECTS IN TASKS WITHHETEROGENEOUS LEVELS OF DIFFICULTY：A STOCHASTIC ORDER APPROACH[J]. 系统科学与系统工程学报(英文版), 2004, 13(1): 36-44. DOI: 10.1007/s11518-006-0152-4 |
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| 作者姓名： | Yigal GERCHAK |
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| 作者单位： | Dept.of Industrial |
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| 摘 要： | We consider tasks where in order to perform them it is sufficient that one member of a group will know how to do it. We are interested in the effect of task difficulty, and variability of that difficulty, on group performance, and in particular on the marginal contribution of an additional number to the performance of groups of different size. We explore the implications of various stochastic orders over task difficulty and variability. Some intuitive conjectures are shown to be false.
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| 关 键 词： | 随机顺序方法 异类水平 随机比较 管理 任务难度 可变性 团队规模 确定性水平 似然比率规则 |
| 收稿时间： | 2006-06-15 |
Group size and parallelism effects in tasks with heterogeneous levels of difficulty: A stochastic order approach |
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| Yigal Gerchak,Qi-Ming He. Group size and parallelism effects in tasks with heterogeneous levels of difficulty: A stochastic order approach[J]. Journal of Systems Science and Systems Engineering, 2004, 13(1): 36-44. DOI: 10.1007/s11518-006-0152-4 |
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| Authors: | Yigal Gerchak Qi-Ming He |
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| Affiliation: | 1. Dept.of Industrial Engineering Tel-Aviv University, Tel-Aviv, 69978, Israel
2. Dept.of Industrial Engineering Dalhousie University, Halifax, NS, B3J 2X4, Canada |
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| Abstract: | We consider tasks where in order to perform them it is sufficient that one member of a group will know how to do it. We are interested in the effect of task difficulty, and variability of that difficulty, on group performance, and in particular on the marginal contribution of an additional number to the performance of groups of different size. We explore the implications of various stochastic orders over task difficulty and variability. Some intuitive conjectures are shown to be false. |
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| Keywords: | Management stochastic comparison |
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