英汉语主语对语类的选择

除了名词与代词都可以作主语外,英汉两种语言在对主语语类选择上似乎有着明显的不同,然而,本文试图证明这种不同只是表面的,实际上英汉两种语言中,主语都只能选择[+N]性成分,而不能选择[+V]性成分。     

AHP在分组选优中的应用

本文利用分组选优的思想 ,给出在AHP法对大规模评判对象选优中的一种非常实用的方法 .     

高校学生资助工作的现状及功能

高校学生资助工作是一项民生工程,是帮助经济困难学生顺利完成学业的重要方式,是维护教育公平,促进人的全面发展的重要举措,更是国家人才强国战略的重要部署.全文通过对高校学生资助工作的现状分析,积极探索资助工作的育人功能.     

中职校幼师专业合唱课的训练方法的探索

针对中职校幼师专业学生音乐基础参差不齐的现象,为提高学生的二部歌曲合唱水平,本文总结出一套行之有效的训练方法,即把握音准、节奏,选择适当的作品,注重情感演绎和合唱意识的培养。     

浅析项目教学法在中职物流管理教学中的应用

在中职物流管理教学中应用项目教学法.选取项目是关键,在选择项目时,要体现典型性.项目教学法在物流管理教学中实施过程包括项目的准备、查找分析资讯、学生分组、实施、检查及评价.此外,为了发挥项目教学法在中职物流管理教学中的效果,需要考虑领导的重视与支持、师资队伍及课程体系的开发.     

绿色供应链中基于AHP和TOPSIS的供应商评价与选择研究

基于绿色供应链的内涵,采用AHP和TOPSIS相结合的方法,提出了一个多层次绿色供应链中供应商评价与选择模型,结合算例验证了该模型的可行性。     

技术创新项目选择的熵权多属性决策法

依据熵的理论和多属性决策理论,提出了一种基于熵权多属性决策法的技术创新项目选择方法.在分析项目选择特点的基础上,按照系统性、可行性、多目标性、实用性的原则,从收益和风险两方面构建了项目选择的评价指标体系,给出了项目选择的熵权多属性决策法的计算步骤,并通过一个算例说明了给出方法的实用性.     

基于公平偏好理论的激励机制研究

传统经济学的理性人假设在许多情况下与现实不符,行为人并非单纯追求自身利益的最大化,而是还会关注收益的公平性.本文研究引入行为经济学中行为人具有公平偏好的研究结论,运用心理规律弱化理性假设,改进并构建新的委托-代理模型,研究代理人关注物质效用和公平分配情况下的最优激励契约和激励效率.模型分析结果表明,公平偏好会改变最优契约的报酬结构形式,影响激励的效率;在公平条件下建立的新互惠契约是一种帕累托改进,并且是激励、保险、公平三者之间相互平衡的契约.     

On the task assignment with group fairness for spatial crowdsourcing

Task assignment, the core problem of Spatial Crowdsourcing (SC), is often modeled as an optimization problem with multiple constraints, and the quality and efficiency of its solution determines how well the SC system works. Fairness is a critical aspect of task assignment that affects worker participation and satisfaction. Although the existing studies on SC have noticed the fairness problem, they mainly focus on fairness at the individual level rather than at the group level. However, differences among groups in certain attributes (e.g. race, gender, age) can easily lead to discrimination in task assignment, which triggers ethical issues and even deteriorates the quality of the SC system. Therefore, we study the problem of task assignment with group fairness for SC. According to the principle of fair budget allocation, we define a well-designed constraint that can be considered in the task assignment problem of SC systems, resulting in assignment with group fairness. We mainly consider the task assignment problem in a common One-to-One SC system (O2-SC), and our goal is to maximize the quality of the task assignment while satisfying group fairness and other constraints such as budget and spatial constraints. Specifically, we first give the formal definition of task assignment with group fairness constraint for O2-SC. Then, we prove that it is essentially an NP-hard combinatorial optimization problem. Next, we provide a novel fast algorithm with theoretical guarantees to solve it. Finally, we conduct extensive experiments using both synthetic and real datasets. The experimental results show that the proposed constraint can significantly improve the group fairness level of algorithms, even for a completely random algorithm. The results also show that our algorithm can efficiently and effectively complete the task assignment of SC systems while ensuring group fairness.     

Selecting an open innovation community as an alliance partner: Looking for healthy communities and ecosystems

Organizations build strategic alliances with other firms with the intent of tapping into partners’ resources and capturing long-term value from these relationships. Such partnerships are typically governed by contractual or equity arrangements with clear mutual obligations. More recently, however, organizations have begun to seek strategic partnerships with open innovation communities, which are novel digitally enabled forms of organizing, and where contractual commitments are not possible. Thus, selecting the right open innovation community as an alliance partner becomes a more complex decision. We follow how the organizational decision makers, in two technology firms that were pioneers of forming strategic alliances with open innovation communities, developed metrics around making such decisions. We build upon Shah and Swaminathan’s (2008) contingency model of alliance partner selection and consider how it applies to the case of partnering with open innovation communities. This framework was useful in to frame our findings, yet our work recognizes and builds upon two key differences: 1) the evaluation metrics used in selecting an open innovation community were more focused on value creation than value capture; and 2) open ecosystem considerations, and not just partner-specific metrics, featured prominently in this type of alliance partner evaluation. We develop the notions of community and ecosystem health to refer to these new metrics.