企业突破性技术持续采用意愿的驱动机制研究

整合组织动机和期望确认理论，从购买动机视角探讨企业突破性技术持续采用意愿的驱动机制。将购买动机分为效率动机、规范趋同动机和模仿趋同动机，阐述购买动机对突破性技术持续采用意愿影响的微观机理。以198家购买过云计算技术的企业为研究样本，实证检验购买动机与突破性技术持续采用意愿间的关系，并检验满意和认知锁定的中介效应。结果表明：购买动机正向影响突破性技术持续采用意愿，满意和认知锁定在购买动机与突破性技术持续采用意愿之间起中介作用，各购买动机的中介作用路径呈现差异化。其中，效率动机的作用路径被满意和认知锁定部分中介，模仿趋同动机的作用路径被满意部分中介，规范趋同动机的作用路径被认知锁定部分中介。研究结论打开了企业突破性技术持续采用意愿的“黑箱”，对于企业深入理解突破性技术持续采用意愿的驱动机制，促进突破性技术在持续采用过程中发挥真正价值具有重要借鉴意义。     

电气继电保护装置的检修和运行维护探讨

在当前社会经济高速运转的时代,电力资源的需求量与日俱增,电力安全问题也越来越受到人们的重视,这就对电气继电保护装置提出了更高的要求,加强继电保护装置的检修和运行维护,可以极大地提升电力系统的运行效率,并保证电力运行的安全性.但是,就目前情况来说,我国电气继电保护装置的运行过程中还是存在一些故障问题,需要采取措施加以改进.基于此,本文将围绕电气继电保护装置运行中的常见故障展开分析,然后对继电保护装置的检修方法以及运行维护措施进行了详细的探讨与研究,以供相关人员参考.     

基于最小二乘法研究大气氮氧化物分析仪不同反应室结构的适用性

反应室腔体是大气氮氧化物分析仪最为关键的结构组件,直接影响分析仪的长期稳定性.本文通过对设计的三种不同反应室结构为期11天的监测,研究三种反应室结构数据衰减率情况,并使用最小二乘法对数据进行分析及预测,结果表明,反应室结构(二)相比于其它两种反应室结构,数据衰减率均值低,在第四天后趋于稳定,24h漂移及预测的第二轮7天漂移均符合标准要求,同时,观察测试完成后反应室腔体内部附着结晶盐的实际现象,反应室结构(二)腔体内附着的结晶盐含量也最少,由此可见,反应室结构(二)在数据和实际现象上表现一致,具有明显的优势.     

新冠肺炎疫情对供应链弹性管理的启示

新冠肺炎疫情将对中国产业供应链的持续竞争力形成挑战,使企业面临人力短缺、成本增加、现金流紧张和供应链不确定性增高等问题,在企业供应链的原材料供应、采购管理、生产复工、物流以及市场等方面均会产生一定的负面影响,这对供应链弹性管理提出了新的要求。在政府层面,应建立综合、协同性的产业供应链风险管理和沟通机制,构建基于事件的产业供应链预警体系,保障企业供应链运营的资源体系,推动产业平台和产业集群带动供应链参与者建立供应链弹性体系。在企业层面,应建立基于企业事件的供应链预警体系,根据供应链预警信息和状况,合理规划供应链运营方式,运用数字化能力建设企业供应链弹性体系,稳定供应链运营,提升供应链效率。     

中国与“一带一路”沿线中东欧国家物流绩效对比分析

“一带一路”沿线国家间物流合作对“设施联通、贸易畅通”意义重大,如何加强物流合作,需要进行科学决策。世界银行发布的物流绩效指数(LPI)已成为评价各国跨境物流绩效综合水平的工具,利用该工具进行分析研究,可以为跨区域物流合作提供决策参考。中国与“一带一路”沿线中东欧国家的合作是目前最具区域板块价值的合作机制,即“17+1合作”,需要进行系统性的合作机制研究。利用“一带一路”沿线中东欧17国的LPI,通过多维分析,可探索中国加强与中东欧国家之间的跨境物流合作新路径。在验证LPI6个子要素衡量一个国家物流绩效水平合理性的基础上,通过对中东欧17国LPI的平均值、增长率和变异系数进行分析发现,影响中东欧与中国物流绩效的重要因素依次为基础设施水平、物流质量和服务能力、货物追踪性、国际运输能力、海关效率、货物运输时效性。另外,对中东欧17国LPI的6个子要素进行聚类,并对不同群类进行针对性分析。在“一带一路”建设背景下,中国应充分发挥亚洲基础设施投资银行平台和丝绸之路基金的主导优势,提升跨境物流通道设施水平,加快建设“一带一路”自贸区,构建物流大数据信息中心,打造中东欧物流枢纽网络,促进中国与中东欧国家之间的跨境物流、供应链合作。     

农户信用评价模型构建研究--以某市为例

对农户信用评价进行综合分析与研究,构建了由农户基本状况、偿债能力、信誉品德、与本行关系四个方面12项指标的信用评价指标体系;采用层次分析法(AHP)确定了各指标的权重;运用改进后的模糊综合评价法评价农户的信用价值,构建了农户信用评价模型,用样本数据进行模型的实证检验,从而建立了可操作的农户信用风险预警机制。     

央行沟通与通货膨胀预期

通过合理政策有效引导通货膨胀预期对当前中国经济具有重要现实意义.本文用自回归分布滞后模型和EGARCH模型捕捉央行沟通对通胀预期及其波动的影响.实证结果表明:央行沟通传递的货币政策信息被市场有效捕捉和解读,实现了通胀预期管理目的,增加沟通频率能有效降低通胀预期波动;但央行的"言行偏离"加剧了短期通胀预期波动,降低了央行沟通和货币政策操作的实际效果;通胀预期存在分布厚尾性和右偏斜,市场出现极端预期的概率较大,且更倾向于预期通胀上升,通胀预期波动的群聚特性表明其具有阶段性自我强化特征.研究结论为央行沟通的有效性提供了实证支撑,揭示出的通胀预期分布特征对提高央行预期管理措施的针对性具有参考价值.     

Household Determinants of the Adoption of Improved Cassava Varieties using DNA Fingerprinting to Identify Varieties in Farmer Fields: A Case Study in Colombia

We examine factors affecting the adoption of improved cassava varieties of 217 households in the Cauca Department in southwest Colombia. Using DNA fingerprinting through Single Nucleotide Polymorphisms (SNPs), we identified different cultivars in farmers fields. We also used this information to remove possible bias in the adoption model that could have resulted from a misclassification of improved varieties (IVs). As a result, we found that farmers substantially overestimate their use of IVs and there are important differences in the determinants of adoption between farmer self‐identification and DNA fingerprinting. This finding implies that the incorporation of DNA fingerprinting in IV adoption studies is important to ensure the accuracy of future agricultural economic research and the relevance of subsequent policy recommendations.     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

Target‐Setting,Pay for Performance,and Quality Improvement: A Case Study of Ontario Hospitals’ Quality‐Improvement Plans

This study examines whether difficult targets and quality indicators in executives' pay‐for‐performance (P4P) plans affect performance. The impact of target‐setting and P4P plans on quality improvement in the public sector is unclear. The Ontario government initiated the Quality Improvement Plan (QIP), which requires hospitals to set targets for quality indicators annually and link executive pay to target achievement since 2011. Analyzing Health Quality Ontario's database and hospitals' 2012–2013 QIPs, this study shows greater quality improvement in hospitals with difficult targets than hospitals with easy targets or without assigned targets; however, the positive impact disappears for high‐performance hospitals relative to their peers. We find no significant effect of the use of quality indicators in executives' P4P plans on quality improvement. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.