Using complexity theory in kinship practice

This reflective discussion draws on data from a collaborative enquiry into kinship or family and friends practice. It introduces perspectives from complexity and chaos theory as a way of re‐examining the challenges of kinship practice. The discussion highlights the enduring challenges for practitioners, not least, managing anxiety and uncertainty, sustaining continuity and containment, becoming experienced and taking account of the complex developmental needs of the children and their families. The discussion particularly raises questions about appropriate settings for practitioners to undertake such a demanding area of child and family social work.     

论一分为三的认识新视野

一分为三是辩证法规律的一种形象表述,这种表达方式是现时代的辩证法的本体论和方法论发展的结果,三分所要体现的是规律的动态展现过程,事物的整体动态的发展观,是对事物的孤立的、静止的、片面的观点的克服.一分为三体现着人与自然,人与社会,人与自身心理等的和谐,人类社会的发展所走向的是一种共存,文明的发展是一种共存;对于规律的认识是一个不断接近的过程,而对于事理的分析是要回到事理本身的,一分为三的规律普遍地体现在它的现象的逻辑、理性的逻辑和实践的逻辑之中.     

现代知识者形象的焦虑心理表现

论文从心理学角度切入,提出20世纪上半段的现代文学中知识者形象有“集体性焦虑”的突出心理表现,从作品表现、作家自我表述、批评家感触等方面阐述,认为这种集体性焦虑与知识分子作为“边际人”或“过渡人”密切关联,指出对现代知识者形象的集体性焦虑的研究有重要的文化意义。     

基于属性水平的品牌来源国作用机制研究——信息处理的视角

制造和质量控制技术在全球范围的转移,导致制造国影响减弱,这对传统原产地研究提出了新的挑战。本研究在区分品牌来源国和产品制造国的基础上,通过把产品属性划分为搜索属性和信任属性,探索品牌来源国如何在属性评价层面上影响消费者。本研究发现,品牌来源国主要在信任属性上影响消费者对产品的评价。不仅如此,与新手型消费者相比,专家型消费者评价信任属性时更多地受到品牌来源国刻板印象的影响。     

企业能力、竞争强度与对外直接投资动机——基于重庆摩托车企业的多案例研究

本文运用多案例研究方法,选取四家重庆摩托车企业的八次对外直接投资案例,对企业能力、竞争强度如何影响企业对外直接投资动机的形成进行了探讨.研究发现,我国摩托车企业的对外直接投资动机主要表现为寻求海外市场.当企业不具备技术相关能力和市场相关能力的相对优势,面临竞争者增多、价格竞争增强的情况时,企业容易产生防御型市场寻求的对外直接投资动机,并且如果主要竞争者已在目标市场投资,更容易促发企业形成这类动机.当企业具备技术相关能力和市场相关能力的相对优势,同时又面临竞争者增多、价格竞争增强的情况时,企业容易产生进攻型市场寻求的对外直接投资动机,并且如果主要竞争者尚未在目标市场投资,更容易促发企业形成这类动机.     

Stakeholder Green Pressure and New Product Performance in Emerging Countries: A Cross-country Study

Despite the burgeoning literature on stakeholder green pressure, research is scarce on how it influences eco-product innovation and new product performance. This article examines stakeholder green pressures as antecedents of eco-product innovation and new product performance in firms operating in resource-constrained countries. Using data gathered from surveys in Vietnam (N = 183) and Ghana (N = 217), we find that the positive effects of stakeholder green pressures on new product performance are serially mediated by environmental sustainability orientation and eco-product innovation. Our findings contribute to ongoing efforts to clarify the mechanisms channelling stakeholder pressures into new product performance in resource-constrained environments.     

乡村振兴战略下涉藏农村地区体育公共服务精准突破路径研究

通过文献资料法、专家访谈法等研究方法,围绕乡村振兴实施战略,以“二十字”总要求为切入点,阐述乡村振兴中农 村体育公共服务的重要性,根据涉藏农村地区的地域特殊性和复杂性,分析提升体育公共服务的困境,找准问题,精准施策。 由此得出:深入挖掘整理藏民族体育文化,打造文体旅融合经济链,实现产业兴旺;绿色低碳,打造生态宜居乡镇;推崇价值引 导,提升文明乡风民风;找准突破点,调整平衡度,做到治理有效;转变价值取向,实现生活富裕等提升体育公共服务的精准突 破路径。 通过涉藏农村地区体育公共服务治理现代化,作为乡村振兴的突破口之一,找准资源利用,提高服务标准,扩大内 需,逐步满足农民日益增长的体育需求,最终实现乡村振兴的体育公共服务振兴战略目标。     

An audit of received international business corruption literature for logic,consistency, completeness of coverage

This analysis of International Business (IB) corruption literature identifies gaps and inconsistencies in how corruption is perceived or deliberated in top academic journals. The reviewed articles tend to focus on one of the three key themes of IB corruption (Contributing factors, Consequences, and Combating) and are categorised into the six sub-domains of the IB framework. The content of the articles is categorised into the respective themes and discussed in relation to underpinning theories and key constructs. The process is intended to be less a synthesis of the literature than an audit revealing that IB corruption research is weakened by tendencies to: 1) Be siloed within its subtheme and to not cross-tie to work in other key themes—this issue is very severe in the Combating theme; 2) Have a short-term focus that disregards the cumulative effects of total graft, and; 3) Asymmetrically focus (predominantly) on the supply side of corruption. These finding suggest several avenues for further research.     

Balancing Revenues and Repair Costs under Partial Information about Product Reliability

We consider the problem faced by a company selling a product with warranty and under partial information about the product reliability. The product can fail from multiple failure types, each of which is associated with an inherently different repair cost. If the product fails within the warranty duration, then the company is required to pay the repair cost. The company does not know the probabilities associated with different failure types, but it learns the failure probabilities as sales occur and failure information is accumulated. If the failure probabilities turn out to be too high and it becomes costly to fulfill the warranty coverage, then the company may decide to stop selling the product, possibly replacing it with a more reliable alternative. The objective is to decide if and when to stop. By formulating the problem as a dynamic program with Bayesian learning, we establish structural properties of the optimal policy. Since computing the optimal policy is intractable due to the high dimensional state space, we propose two approximation methods. The first method is based on decomposing the problem by failure types and it provides upper bounds on the value functions. The second method provides lower bounds on the value functions and it is based on a deterministic approximation. Computational experiments indicate that the policy from the first method provides noticeable benefits, especially when it is difficult to form good estimates of the failure probabilities quickly.     

A Blueprint for Full Collective Flood Risk Estimation: Demonstration for European River Flooding

Floods are a natural hazard evolving in space and time according to meteorological and river basin dynamics, so that a single flood event can affect different regions over the event duration. This physical mechanism introduces spatio‐temporal relationships between flood records and losses at different locations over a given time window that should be taken into account for an effective assessment of the collective flood risk. However, since extreme floods are rare events, the limited number of historical records usually prevents a reliable frequency analysis. To overcome this limit, we move from the analysis of extreme events to the modeling of continuous stream flow records preserving spatio‐temporal correlation structures of the entire process, and making a more efficient use of the information provided by continuous flow records. The approach is based on the dynamic copula framework, which allows for splitting the modeling of spatio‐temporal properties by coupling suitable time series models accounting for temporal dynamics, and multivariate distributions describing spatial dependence. The model is applied to 490 stream flow sequences recorded across 10 of the largest river basins in central and eastern Europe (Danube, Rhine, Elbe, Oder, Waser, Meuse, Rhone, Seine, Loire, and Garonne). Using available proxy data to quantify local flood exposure and vulnerability, we show that the temporal dependence exerts a key role in reproducing interannual persistence, and thus magnitude and frequency of annual proxy flood losses aggregated at a basin‐wide scale, while copulas allow the preservation of the spatial dependence of losses at weekly and annual time scales.