For green or not for green? The effect of cooperation goals and type on environmental performance

Although many scholars have demonstrated that companies engaged in collaborations achieve better environmental performance than other companies, existing studies have not analyzed in depth whether this effect changes considering the characteristics of cooperation. Our paper aims to explore whether collaboration with other companies always has a positive effect on environmental performance or whether it depends on cooperation goals, collaboration type, or company size. Empirical analysis based on a sample of 773 European companies demonstrated that an external source of knowledge is an important way to foster firms' environmental proactivity, especially when environmental goals are shared at the basis of collaboration. Second, we verified that companies involved in JVs with environmental goals achieve greater environmental performance than companies that use M&As to acquire external knowledge. Finally, we demonstrated that it is more important for small companies to be involved in environmental collaboration than larger ones.     

Inter‐firm R&D collaborations and green innovation value: The role of family firms' involvement and the moderating effects of proximity dimensions

The present paper investigates the relationship between the involvement of family firms in R&D collaborations aimed at developing green solutions and the value of resulting innovations. To dig into this relationship, the moderating effects of two proximity dimensions (i.e., geographical distance and technological relatedness) are also assessed. Analyses are based on a sample of 156 joint patents classified into the “Alternative energy production” field, as defined by the International Patent Classification Green Inventory and successfully filed at the United States Patent and Trademark Office in the period 1997–2010 by publicly listed companies. According to our conjectures, results reveal a positive relationship between the involvement of family firms and green innovation value. Moreover, our findings show that this relationship is hindered when partners are geographically distant or technologically proximate. Eventually, we contribute to the literature on green innovation by unveiling under which conditions inter‐firm R&D collaborations lead to more valuable innovations.     

International joint ventures research on Africa: A systematic literature review,propositions, and contextualization

This study reviewed the research on international joint ventures (IJVs) in Africa up to 2017. The authors performed a systematic search of peer‐reviewed good‐quality research using the 6W procedure and ensured the quality of the review by using the 5Cs quality criteria. The content analysis was focused on four research questions. A total of 22 relevant studies were found. Overall, only about one‐third of the lead authors were affiliated with African universities. A majority of the studies were quantitative, and 78% of the studies were done for three countries: Ghana, Morocco, and Nigeria. There was either just one or no study on trust and conflict, partner selection, and human resource management (HRM). At the contextual level, it seems the most important factor influencing IJV strategy and success is institutions. We therefore suggest a greater use of institutional theory. Finally, we present a summary of conceptual framework and four propositions to guide future research.     

新形势下高职后勤党建与社区党建共驻共建模式探讨

论文对高职后勤党建与社区党建共驻共建模式的背景及基础进行综述,分析加强社区党建的重要性以及社区党建工作的现状,论述高职后勤党建工作的基础、优势与促进社区共驻共建的重要性,提出高职后勤党建与社区党建共驻共建模式,并对这种共驻共建的模式提出优化思路,以期为现代党建工作提供思路,以供参考。     

Modelling tourist flow association for tourism demand forecasting

The purpose of this study is to examine tourism demand for Singapore from 1995 to 2013 by six major origin countries which belong to three different regions. Unlike prior tourism research, we take into account the dependence relations among the different tourist flows via copula. Copula is a statistical model of dependence and measurement of association. Specifically, we investigate the association between two tourist flows in each region. Based on empirical copula estimation, the Frank function has been identified as the most appropriate to capture the pairwise dependence structures of tourist flows. The copula-based approach combined with econometric models is proposed for tourism demand analysis that can be used to predict tourist arrivals. We apply the copula-ARDL and copula-ECM frameworks to generate joint forecasts of tourist arrivals from three regions. The findings show that the forecast performance of the Frank copula-based model outperforms the benchmark model which corresponds to the independence structure (no association) of tourist flows.     

信号级协同计算平台架构及应用思考

针对智能化作战对军事电子信息系统计算能力提升的迫切需求，结合云计算的资源虚拟化、大数据的分布式计算等技术，提出了基于嵌入式CPU+ALL（DSP、FPGA、PPC、GPU、AI处理器等）的异构处理的信号级协同计算平台架构，包括弹性、轻量级异构资源虚拟化模型、分布式实时计算框架和智能计算框架等，形成了一套架构统一、资源共用、使用简便的协同计算和智能计算环境。通过战术级无线电认知和智能信号与信息处理两个典型应用场景，探讨了该信号级协同计算平台可能带来的颠覆性效用。     

铁路线路接头病害的成因分析及防治措施

本文详细介绍了铁路线路接头病害的常见种类,这些病害产生的原因和治理方法,并对这些方法在其他铁路单位采用后所取得的效果做了说明,对防治铁路线路接头病害,保障铁路运输安全,延长铁路线路设备使用寿命,具有积极的指导意义。     

一种资源视角的关系特性分析与建模方法

为满足联合作战条件下信息系统对资源数据灵活组合应用的需求，从作战资源视角出发，聚焦资源的关系特征维度，开展了资源与资源、资源与功能的关系特性分析，确定了各类关系的概念内涵、基本属性及关系特征要素集的组成，同时研究了资源视角关系特征的表征方法，并针对资源能力溯源及资源能力认知等展开了关系特征模型应用分析。通过资源视角关系特性分析与建模，可提高信息系统对资源的快速组织和应用能力，为从事军事资源联合运筹与信息系统研制提供参考。     

基于PSO-SAS的联合侦察任务规划

针对联合侦察筹划中任务规划阶段机动侦察平台阵位与路线确定困难的问题，提出了一种基于粒子群优化-稀疏A星(Particle Swarm Optimization—Sparse A-star,PSO-SAS)算法的规划方法。该方法综合考虑侦察装备机动性能以及敌火力威胁、地形等因素，在侦察阵位规划上，建立了阵位综合评估模型，并利用粒子群算法进行阵位寻优；在路线规划上，采用稀疏A*算法进行航迹规划，通过将机动性能、安全距离、路程等约束引入搜索过程，缩短最优路线的计算时间。仿真试验验证了所提方法生成的侦察阵位和路线能够满足侦察任务要求。     

空间目标的联合矩阵束极点估计

极点作为谐振区雷达目标的最主要电磁特性，具有很大的空间目标识别前景。但是在使用频域观测数据提取目标极点时，存在虚假极点和估计精度问题。针对上述问题，首先通过加窗和截断改进了后时响应信号的获取流程，抑制了虚假极点影响；然后采用最小描述长度法（MDL）估计极点个数，避免了定阶错误引起的虚假极点；最后采用联合矩阵束法估计极点，有效减少了单角度数据估计极点时存在的遗漏极点和虚假极点问题。FEKO软件验证表明，所提算法具有更高的精度和抗噪能力。