随着直播电商行业的蓬勃发展以及消费者公平意识的提升,同时考虑到溢出效应对制造商引入策略的影响,构建了由制造商与主播组成的直播电商供应链决策模型,分析存在溢出效应时制造商在无消费者公平关切与存在消费者公平关切下的均衡决策,...随着直播电商行业的蓬勃发展以及消费者公平意识的提升,同时考虑到溢出效应对制造商引入策略的影响,构建了由制造商与主播组成的直播电商供应链决策模型,分析存在溢出效应时制造商在无消费者公平关切与存在消费者公平关切下的均衡决策,探讨了制造商直播渠道的引入决策与定价决策。研究表明:直销价格、直播价格、制造商利润均随着溢出效应的增大而增大、随着主播佣金的增加而减小,而主播利润与溢出效应和佣金均呈正相关;当溢出效应大于某一临界值或主播佣金小于某一临界值时,制造商会选择引入直播渠道同时提高直销价格,消费者公平关切能够降低制造商的引入意愿;制造商引入直播渠道情形下,消费者公平关切的存在能够提高制造商的利润,降低直销价格,提高直播价格。With the booming development of the live e-commerce industry and the enhancement of consumer fairness awareness, and taking into account the impact of spillover effects on manufacturers’ introduction strategies, a live e-commerce supply chain decision-making model consisting of manufacturers and anchors is constructed to analyse the equilibrium decision-making of manufacturers in the absence of consumer fairness concerns and in the presence of consumer fairness concerns when there are spillover effects, and to explore the introduction decision-making and pricing decision-making of manufacturers’ live broadcasting channels. The study shows that: direct selling price, live price, and manufacturer’s profit increase with the increase of spillover effect and decrease with the increase of anchor commission, and anchor profit is positively correlated with spillover effect and commission;when the spillover effect is larger than a certain critical value or the anchor commission is smaller than a certain critical value, the manufacturer chooses to introduce the live channel and increase the price of direct selling at the same time, and the consumer fairness concern can reduce the manufacturer’s willingness to introduce it;in the case of the introduction of the live channel by the manufacturer, the existence of consumer fairness concern can increase the manufacturer’s profit, reduce the price of direct selling, and increase the price of live broadcasting.展开更多
现有的自动化漏洞挖掘工具大多泛化能力较差,具有高误报率与漏报率。文章提出一种针对C类语言的多分类漏洞静态检测模型CSVDM。CSVDM运用代码相似性比对模块与通用漏洞分析框架模块从源码层面进行漏洞挖掘,代码相似性比对模块运用最长...现有的自动化漏洞挖掘工具大多泛化能力较差,具有高误报率与漏报率。文章提出一种针对C类语言的多分类漏洞静态检测模型CSVDM。CSVDM运用代码相似性比对模块与通用漏洞分析框架模块从源码层面进行漏洞挖掘,代码相似性比对模块运用最长公共子序列(Longest Common Subsequence,LCS)算法与图神经网络对待检测源码与漏洞模板实施代码克隆与同源性检测,根据预设阈值生成漏洞相似度列表。通用漏洞分析框架模块对待检测源码进行上下文依赖的数据流与控制流分析,弥补了代码相似性比对模块在检测不是由代码克隆引起的漏洞时高假阴性的缺陷,生成漏洞分析列表。CSVDM综合漏洞相似度列表与漏洞分析列表,生成最终的漏洞检测报告。实验结果表明,CSVDM相较于Checkmarx等漏洞挖掘工具在评价指标方面有较大幅度提升。展开更多
文摘随着直播电商行业的蓬勃发展以及消费者公平意识的提升,同时考虑到溢出效应对制造商引入策略的影响,构建了由制造商与主播组成的直播电商供应链决策模型,分析存在溢出效应时制造商在无消费者公平关切与存在消费者公平关切下的均衡决策,探讨了制造商直播渠道的引入决策与定价决策。研究表明:直销价格、直播价格、制造商利润均随着溢出效应的增大而增大、随着主播佣金的增加而减小,而主播利润与溢出效应和佣金均呈正相关;当溢出效应大于某一临界值或主播佣金小于某一临界值时,制造商会选择引入直播渠道同时提高直销价格,消费者公平关切能够降低制造商的引入意愿;制造商引入直播渠道情形下,消费者公平关切的存在能够提高制造商的利润,降低直销价格,提高直播价格。With the booming development of the live e-commerce industry and the enhancement of consumer fairness awareness, and taking into account the impact of spillover effects on manufacturers’ introduction strategies, a live e-commerce supply chain decision-making model consisting of manufacturers and anchors is constructed to analyse the equilibrium decision-making of manufacturers in the absence of consumer fairness concerns and in the presence of consumer fairness concerns when there are spillover effects, and to explore the introduction decision-making and pricing decision-making of manufacturers’ live broadcasting channels. The study shows that: direct selling price, live price, and manufacturer’s profit increase with the increase of spillover effect and decrease with the increase of anchor commission, and anchor profit is positively correlated with spillover effect and commission;when the spillover effect is larger than a certain critical value or the anchor commission is smaller than a certain critical value, the manufacturer chooses to introduce the live channel and increase the price of direct selling at the same time, and the consumer fairness concern can reduce the manufacturer’s willingness to introduce it;in the case of the introduction of the live channel by the manufacturer, the existence of consumer fairness concern can increase the manufacturer’s profit, reduce the price of direct selling, and increase the price of live broadcasting.
文摘现有的自动化漏洞挖掘工具大多泛化能力较差,具有高误报率与漏报率。文章提出一种针对C类语言的多分类漏洞静态检测模型CSVDM。CSVDM运用代码相似性比对模块与通用漏洞分析框架模块从源码层面进行漏洞挖掘,代码相似性比对模块运用最长公共子序列(Longest Common Subsequence,LCS)算法与图神经网络对待检测源码与漏洞模板实施代码克隆与同源性检测,根据预设阈值生成漏洞相似度列表。通用漏洞分析框架模块对待检测源码进行上下文依赖的数据流与控制流分析,弥补了代码相似性比对模块在检测不是由代码克隆引起的漏洞时高假阴性的缺陷,生成漏洞分析列表。CSVDM综合漏洞相似度列表与漏洞分析列表,生成最终的漏洞检测报告。实验结果表明,CSVDM相较于Checkmarx等漏洞挖掘工具在评价指标方面有较大幅度提升。
