基于区块链技术的建筑材料供应链质量数据安全共享方法

传统方法在建筑材料供应链质量数据安全共享中应用效果不佳，不仅数据误码率比较高，而且数据共享时延比较长，无法达到预期的数据安全共享效果。为此提出基于区块链技术的建筑材料供应链质量数据安全共享方法。利用区块链技术对建筑材料供应链质量数据属性加密，建立建筑材料供应链质量数据安全共享链，整合建筑材料供应链质量数据加密、解密程序，通过对用户身份验证实现对质量数据安全共享，以此完成基于区块链技术的建筑材料供应链质量数据安全共享。实验证明，设计方法的数据误码率在1%以内，数据共享时延在1s以内，具有良好的数据安全共享效果。     

Consumers’ willingness to disclose their personal data in e-commerce: A reciprocity-based social exchange perspective

While personal data is invaluable to firms, the drivers of e-commerce customers' willingness to disclose their personal data remain tenuous. Using social exchange theory, we develop a model that explores the impact of consumers' perceived benefit, and relative power, on store trust, in turn driving their willingness to disclose their personal data. We collected our empirical data using a representative online survey, with the results being analyzed by using structural equation modeling. The results corroborate that (a) consumer-perceived e-commerce store trust drives their willingness to disclose their personal data, and (b) perceived e-commerce provider reciprocity outweighs consumers’ perceived data disclosure benefit, suggesting the existence of symbolic (vs. purely instrumental) social exchange.     

劳动力价格、信息不对称与农户精细管理技术投入——基于质量识别能力差异的视角

近年来,劳动力价格的快速上涨已然成为中国农业生产所必须面对的内在挑战。对于机械作业难度相对较大的劳动密集型作物而言,在缓解劳动力约束瓶颈的同时,更应通过精细化的果园管理,以提高产品质量,进而提高其市场价格。然而,由于农产品具有典型的经验品属性,在信息不对称的外部约束下,农户通常难以获得应有的"质量溢价"。基于此,本文通过构建理论分析框架,以果品质量关键环节的精细管理技术作为研究对象,系统分析在劳动力价格上涨背景下农户精细管理技术投入的决策机制,以及在不同农产品质量识别程度中,劳动力成本变化对其影响的异质性,并基于全国18个省份农户的调研数据进行实证研究。研究结果表明:农户交易对象质量识别能力的提高,能够缓解农户与购买者之间存在的信息不对称性,将农产品质量信息传递给购买者,使农户获得更高的销售价格,进而在有效提高农户精细管理技术投入水平的同时,能够弱化劳动力价格对其所产生的负面影响。     

突破性技术创新研究:现状与展望——基于SSCI和CSSCI期刊的文献计量分析

突破性技术创新是中国落实创新驱动、绿色发展、提升关键核心技术创新能力等多个国家战略的重要路径。本文采用文献计量方法和知识图谱工具,以2001—2018年发表于SSCI和CSSCI期刊的765篇文献为研究样本,从多个视角系统揭示国内外突破性技术创新研究的现状,并对未来研究方向进行展望。主要研究结论是:近18年国内外突破性技术创新研究发文量总体呈逐年上升趋势,国内研究与国外相比起步较晚且持续热度较低、对外合作研究较少且国际影响力不足;突破性技术创新研究遵循的理论基础主要是社会网络理论、动态资源管理理论和组织学习理论;突破性技术创新研究的热点主要集中于技术、组织、资源和财务四个方面,与市场发展问题相关的研究是薄弱环节。进一步从创新主体、创新变轨、研究层次和研究主题四个方面归纳了突破性技术创新研究热点的演化规律和存在问题。突破性技术创新的市场风险、跨国合作战略、大数据赋能和绿色导向会成为未来突破性技术创新研究的主攻方向。     

Robust multivariate analysis for mixed-type data: Novel algorithm and its practical application in socio-economic research

We propose a novel method and algorithm for the analysis and clustering of mixed-type data using a hierarchical approach based on Forward Search. In our procedure, the identification of groups is based on the identification of similar trajectories and then linked to very intuitive two-dimensional maps. The proposed algorithm can use different measures for the calculation of distance in the case of mixed-type data, such as Gower’s metric and Related metric scaling. A key feature of our algorithm is its ability to discard redundant information from a given set of variables. The practical usefulness of the algorithm is illustrated through two applications of high relevance for empirical economic research. The first one focuses on comparing different indicators of environmental policy stringency in different countries. The second one applies our procedure to identify clusters of countries based on information regarding their institutional characteristics.     

Customer purchase forecasting for online tourism: A data-driven method with multiplex behavior data

Online tourism has received increasing attention from scholars and practitioners due to its growing contribution to the economy. While related issues have been studied, research on forecasting customer purchases and the influence of forecasting variables, online tourism is still in its infancy. Therefore, this paper aims to develop a data-driven method to achieve two objectives: (1) provide an accurate purchase forecasting model for online tourism and (2) analyze the influence of behavior variables as predictors of online tourism purchases. Based on the real-world multiplex behavior data, the proposed method can predict online tourism purchases accurately by machine learning algorithms. As for the practical implications, the influence of behavior variables is ranked according to the predictive marginal value, and how these important variables affect the final purchase is discussed with the help of partial dependence plots. This research contributes to the purchase forecasting literature and has significant practical implications.     

Balancing risk with virtual private networking during a pandemic

When the pandemic struck and teaching went online worldwide, universities had to make pressing decisions that balanced cybersecurity against other factors, including health and safety, usability, and cost. One such challenge Indiana University (IU) faced was how to accommodate the secure telecommunications needs of 130,000 faculty, staff, and students who would now be teaching, learning, doing research, and working from home. Some universities reflexively promoted virtual private network (VPN) use for all activities. Such an approach would have been unsustainable at IU, however, owing both to the licenses and resources needed for the sheer number of users and to the high-throughput applications on which they rely. Perhaps even worse, it would have increased the chances that the VPN would be unavailable during a critical incident or other situation in which secure communications must be guaranteed. Instead, IU launched an awareness campaign demonstrating exactly when VPN use is and isn’t needed. In addition, network staff employed a VPN feature called split tunneling to reduce the load. This article discusses the advantages and disadvantages of this approach and how IU made the decision to balance both sides of the risk equation to ensure the continued advancement of its mission throughout the pandemic.     

Diagnosing a healthcare cybersecurity crisis: The impact of IoMT advancements and 5G

Internet of Medical Things (IoMT) technology remains in early stages of adoption, but advancements and breakthroughs are quickly moving this process forward. There is a critical need for cybersecurity to be a priority in the development of these new tools, alongside design and utility. Given the rapid pace and potential magnitude of the coming advancements in IoMT, if privacy and security risks are neglected, a significant crisis could emerge in the form of more frequent cybersecurity breaches. This article examines the market opportunities and risks associated with IoMT and outlines a plan for proactively mitigating concerns and providing a platform to foster growth, to modify attitudes and behaviors, and to continue to build consumer confidence in the overall health system without sacrificing security.     

浅谈基于大数据背景下的数字经济发展——以数字电网为例

我们已经进入了一个全新的大数据信息化时代,充满了更多的机遇与挑战。大数据及数字经济的出现极大程度地改变了传统技术及工作思维的方式。数字经济是继工业和农业之后的又一大经济形态,为社会的经济增长提供了新的动力。通过分析电网行业传统的科学技术及作业方式,论文简要阐述了基于大数据信息化发展下电网的影响,并认为信息化技术的发展对于数字经济有着至关重要的影响及重要性。最后论文讨论了数字经济发展存在的问题及方向。     

信息化环境下企业内部审计模式思考

随着信息技术的高速发展,大数据技术呈现出爆发增长并逐渐渗入各行各业。基于信息化的大背景,大数据技术已被越来越多的企事业单位广泛运用,为企业发展带来更多可能性。大数据审计作为一种新型内部审计手段,具备独特的优势,将其运用到企业内部审计中可以较大程度提高内部审计的效率。但是它也为内部审计带来了一定不确定性,进而增加其审计风险。论文就大数据审计在企业内部审计中的应用进行了相关分析,并提出了相应的应对措施。