智库影响力的国际比较与走向判断

现代智库已经成为各国决策者处理各种社会复杂问题所倚重的重要力量。中国与西方国家智库因为所处的体制环境不同,在独立属性上呈现出本土化运作的特征。通过对中西方智库的独立性的比较、分析和考察,以我国特有的国情为发展的起点,借鉴西方发达国家智库发展的成功经验,找到一条适合我国本土体制和国情的独立性的发展路径,是今后提高我国智库决策影响力的重要价值选择,也是促进我国决策科学化和民主化的重要动力。     

Influence of Temporal Distance on the Perceived Importance of Career‐Related Self‐Efficacy and Outcome Expectations

Because all career choices are about future actions, time is an important contextual variable in social cognitive career choice ( Hesketh, 2000 ). However, there is a dearth of research examining the effect of time. The authors examined how temporal distance to career entry influences the perceived importance of self‐efficacy and outcome expectations concerning a career pursuit. They also examined the moderating effects of perceived support and barriers, as well as country. The participants were college students in the United States (n= 180) and in South Korea (n= 215). The results of hierarchical regression analyses did not show main effects of time, but a 3‐way interaction indicated the complex interplay of time and other contextual variables. Implications for career counseling and future research are discussed.     

上海自贸试验区负面清单转化为全国负面清单的路径和措施

目前,在中国(上海)自贸试验区的各项实施制度中,"负面清单"制度是其中重要的一项,也将是未来自贸区可复制、可推广的一项关键制度。对此,可借鉴《美国双边投资协议2012年范本》,将上海自贸试验区负面清单转化为全国负面清单,向全国推广。     

就近就地城镇化问题研究

农村剩余劳动力的转移模式存在异地转移和就地转移两种。农村人口空心化、"大城市病"以及二元户籍制度下农民工的城市融入难题是我国城镇化进程中面临的突出问题。就近就地城镇化以人文本,以经济发展为前提,以有效就业为基础,以城乡基础设施一体化和公共服务均等化为目标,达到人、产、城三者的融合,实现社会经济的可持续发展。     

上海外来白领生存压力与社会信心调查

上海外来白领生存压力与社会信心调查显示,外来白领对上海整体较为满意,对上海的社会信心较高,同时在工作生活中也面临住房、健康、经济收支、身份认同等四大突出压力。上海应积极出台有效政策措施,努力疏解当前上海外来白领工作生活中的突出压力。     

“微全球化”现象与中国青年

由于计算机网络等通讯媒体的广泛使用以及经济的全球化,人们的社会交往模式发生了革命性的变化,即突破国家的界限,形成了以个体为核心的全球性的社会交往模式。“微全球化”研究是一种基于微观视野的全球化研究．其一般模式和共同特点是把个人层面上涉及跨国界和跨文化的行为、交往、关系等方面的变化作为其研究的切入点,并进而把握某种跨国界和跨文化的行为、交往、关系。“微全球化”现象泛见于与青年群体相关的各种活动和事件中,对青年的发展具有积极的推动作用。     

Using naturalistic driving films as a design tool for investigating driver requirements in HMI design for ADAS

In recent years, there are many naturalistic driving projects have been conducted, such as the 100-Car Project (Naturalistic Driving study in United State), EuroFOT(European Large-Scale Field Operational Tests on Vehicle Systems), SeMi- FOT(Sweden Michigan Naturalistic Field Operational Test and etc. However, those valuable naturalistic driving data hasn't been applied into Human-machine Interaction (HMI) design for Advanced Driver Assistance Systems (ADAS), a good HMI design for ADAS requires a deep understanding of drive environment and the interactions between the driving car and other road users in different situations. The results demonstrated the benefits of using naturalistic driving films as a mean for enhancing focus group discussion for better understanding driver's needs and traffic environment constraints. It provided an efficient tool for designers to have inside knowledge about drive and the needs for information presentation; The recommendations for how to apply this method is discussed in the paper.     

A phenomenological case study on immigrant workers' gambling addiction in Korea

This study explores the experiences that have led some of Korea's immigrant workers into gambling addiction and examines possible social welfare services that could support treatment. Immigrant workers' gambling experience as aliens in Korea was analyzed through the methodology of a phenomenological case study. The participants, who voluntarily consented to the study, were five immigrant workers addicted to gambling. Data were collected through one‐on‐one, in‐depth interviews over 6 months, starting in July 2018. The essential themes that emerged in the interviews were “changing strategies for survival,” “forgetting oneself without any sense of responsibility or shame,” “gambling as routine daily life,” “obsession with making a fortune in one go,” and “no home to return to.” Based on its results, this study makes suggestions for the prevention of gambling addiction in immigrant workers. Further, future research needs to be broadened to analyze nationwide cases of immigrant workers with more diverse demographic backgrounds.     

Exploration and Firm Performance: The Moderating Impact of Competitive Strategy

In this study we examine the moderating effect of competitive strategy (including differentiation and cost‐leadership strategies) on the relationship between exploration and firm performance. We find that the moderating effect of differentiation strategy is positive while that of cost‐leadership strategy is negative. And, these moderating effects are stronger in a highly competitive context. This study offers an explanation for previous mixed findings on the linkage of exploration to firm performance and enriches the discipline's knowledge regarding the performance implications of exploration. Moreover, we respond directly to the appeal in research on competitive strategy to clarify the role played by competitive strategy in profiting from exploration.     

Online MapReduce scheduling problem of minimizing the makespan

MapReduce system is a popular big data processing framework, and the performance of it is closely related to the efficiency of the centralized scheduler. In practice, the centralized scheduler often has little information in advance, which means each job may be known only after being released. In this paper, hence, we consider the online MapReduce scheduling problem of minimizing the makespan, where jobs are released over time. Both preemptive and non-preemptive version of the problem are considered. In addition, we assume that reduce tasks cannot be parallelized because they are often complex and hard to be decomposed. For the non-preemptive version, we prove the lower bound is \(\frac{m+m(\Psi (m)-\Psi (k))}{k+m(\Psi (m)-\Psi (k))}\), higher than the basic online machine scheduling problem, where k is the root of the equation \(k=\big \lfloor {\frac{m-k}{1+\Psi (m)-\Psi (k)}+1 }\big \rfloor \) and m is the quantity of machines. Then we devise an \((2-\frac{1}{m})\)-competitive online algorithm called MF-LPT (Map First-Longest Processing Time) based on the LPT. For the preemptive version, we present a 1-competitive algorithm for two machines.