中国软件外包企业发展的升级路径研究

探究中国软件外包企业如何突破发展瓶颈,实现产业升级的问题。通过文献回顾归纳出软件外包业的3种模块化治理模式：成本一交易伙伴型、竞争一战略伙伴型和创新一联盟伙伴型。从全球价值链治理模式的视角总结出一个重要结论：研究软件外包企业升级的关键是将升级方式与价值链治理模式关联起来,处于不同治理模式下的软件外包企业将有不同的升级路径,提出了软件外包企业价值链治理模式的升级路径图。     

BFGS算法综述

目前对一般无约束最优化问题的研究主要是以拟牛顿算法为主,并且随着研究的深入,各种基于修改原始拟牛顿方程的新拟牛顿算法取得了较好的成果。文章主要对几种改进后的算法做个综述。     

极大极小问题的模松弛拟强次可行方向算法

结合模松弛SQP算法和强次可行方向算法思想,给出了初始点任意选取的新的拟强次可行方向算法。每步迭代,只需求解一个总有最优解的二次规划子问题来产生主搜索方向,引入一种新的非单调曲线搜索来产生步长,在较弱的条件下,可以得到算法的全局收敛性。     

非政府组织与全球善治

冷战结束后,世界格局发生了根本性的变化。世界也因此又一次迎来了不寻常的社会变革,面对人类社会发展中不断涌现的各种问题,人们不再"各扫门前雪",而是希望并致力于在新的全球治理结构体中寻求解决的途径。本文将以此为出发点,以全球问题引出全球治理理论,在全球治理理论的基础上,把非政府组织①置于新的治理理论(全球善治)中,赋予其更丰富的内涵。     

服务性全球营销战略前置因素的实证研究

摘要：鉴于以往全球营销理论研究的局限,本文将服务营销“7p”范式与全球营销战略基本观点相结合,富有创新性的构建了服务性全球营销战略二阶因子及其前置因素关系模型,并运用220家服务性跨国公司在中国分支机构的样本数据进行了实证检验,由此对服务性跨国公司在全球市场的营销活动布局和规划给出了相关管理建议。     

体育强国的文化创新——兼论举国体制的价值创新

体育强国就是能够提供另一体育文化选择,并且拥有国际话语权的国家。体育文化崛起是体育强国的必然要求,体育强国需要并且能够创造出一个不同于西方的体育文化。但是,中国没有自己的体育文化,中国的体育文化依然是一种依附性文化。体育强国的国际话语权实际上就是一国的体育文化被＂他者＂自愿接受而产生影响的权力,但是,中国尚不具有国际体育话语权。要强调中国传统体育文化的普世性和互补性,文化创新,加强中国体育发展模式的理论研究以提升国际体育话语权。举国体制是中国体育的发展模式,是最具中国元素的体育文化。举国体制的创新最根本的是价值创新。通过意识形态价值创新、公共体育服务价值创新以及民间性价值创新等实现举国体制的价值创新。     

中等强国的概念化路径述评

随着中等强国在全球事务治理中的地位和作用越来越大,中等强国的使用显得比较随意,对其进行科学准确的概念界定显得迫切而必要。但是,长期以来,国内外学者对中等强国的概念一直没有达成普遍的共识,原因在于不同的学者或研究人员在概念化的路径选择上差异很大。通过对现有中外文献的梳理,中等强国概念化路径可以归纳为四类:机能主义路径、体系—结构分析路径、体系—心理分析路径和行为主义路径。每种路径均有可取之处和缺陷。综合四种路径,有助于更好地理解中等强国的内涵和外延,有助于最终得出一个接受度较高的中等强国概念。     

Critical literacy: an approach to child rights education in Uganda and Canada

For children to know how to fully participate in and most effectively lead the world they will inherit, they must learn how to critically engage with it and be knowledgeable about foundational rights and instruments that support such engagement. Together, critical literacy, which encourages the examination and interrogation of the underlying assumptions of dominant narratives and ‘legitimate’ knowledge, and children's rights education, which involves children in learning how to express their ideas and fully participate in society (as appropriate to their age and ability), offer a powerful approach—theoretical and pedagogical—to engage children in active engagement of the world, especially with respect to the promotion of social justice. However, the layers of complexity and risks associated with deep consideration of challenging topics require expert guidance and compassionate role modelling from teachers of young children. Our paper considers the intersections between critical literacy and global child rights with reference to a study conducted with young school children in Canada and Uganda to discuss how teachers can support meaningful learning experiences in the classroom that can promote children's agency and social justice commitments.     

Global crisis management and higher education: Agency and coupling in the context of wicked COVID-19 problems

Campus crisis management remains an understudied topic in the context of COVID-affected higher education. In this paper, we contrasted the ability to tame the wicked problems brought by the pandemic of COVID-19 in private and public universities in Bangladesh, Cambodia, Colombia, India, Kazakhstan, Uganda, and Ukraine. The cross-country analysis and diversity of institutional types allowed us to consider a wide range of challenges faced by academic leaders and their institutions during the global pandemic. By drawing on institutional policy reviews and interviews with university administrators, we have examined tensions between the human and institutional agencies on these crisis-stricken campuses given differing institutional coupling, sizes, resources, and missions. The focus on agential co-dependencies and institutional coupling lays the ground for conceptualizing campus crisis management as a culturally specific construct in the context of higher education affected by the global pandemic.     

面向全局优化的混沌粒子群遗传算法

结合遗传算法(GA)和粒子群算法(PSO)的优点以及混沌运动的特性,提出了混沌粒子群遗传算法(CPSO-GA),并使用五个高维非线性测试函数考察此算法的性能。在固定进化代数、所调用目标函数次数接近以及固定收敛精度三种情况下对算法进行数值试验,结果表明,与其他文献中提出的算法相比,CPSO-GA能100%地找到最优解,收敛效果及寻优能力好,并能有效摆脱局部极小点,且调用目标函数次数最少,大大降低了计算量。