移动电子商务用户溯源认证技术研究与应用

在移动电子商务中,由于智能手机、PDA等移动终端硬件设施的局限性和手机操作系统种类繁多等问题,大多数SP只能采用"账号+口令"的方式对用户身份进行认证.为了增强移动互联网用户认证的安全性,针对移动电子商务活动中SP对用户可溯源的需求.本文探讨了在移动互联网网络环境下的用户来源可信及用户身份溯源认证技术.从运营商的角度研究了一种基于移动互联网的身份可溯源认证业务方案.利用该溯源认证业务能够将原有的用户身份认证从应用层扩展到网络层和物理层,实现对用户身份的溯源追踪.有效防止伪造用户身份的攻击行为,确保用户认证过程的可溯源性.     

基于电子商务模式的煤炭企业开拓国际市场分析

经济危机导致国内煤炭生产出现供大于求的局面,通过对比分析国内外煤炭质量、价格,得出中国煤炭出口可行。同时,为进一步增强煤炭企业竞争力,降低成本,找出传统煤炭出口方式存在的问题,并通过对煤炭企业建立电子商务模式分析,以克服传统煤炭出口方式的弊端,提高煤炭企业的国际竞争力。     

跨境电商保税仓库拣货策略研究

针对跨境电商客户订单的多品类且数量不稳定的特点，对跨境电商保税仓库拣货流程进行分析与优化。采用订单动态时间窗分拣策略，并在仓库拣货路径优化的基础上，建立了跨境电商保税仓库拣货模型。最后应用于某公司跨境电商保税仓库管理系统中，取得了较好的预期效果。     

电子商务环境下分析型CRM体系结构

分析了电子商务环境下CRM的需求与框架，在此基础上提出了一种包含客户分析管理、市场分析管理、运营评估管理及数据整合与管理的分析型CRM体系架构。     

基于Web的信息化制造策略

信息化制造是现代信息技术与制造技术相结合的产物，可以实现制造资源、信息、人员、技术的高度集成和合理配置。给出了信息化制造的定义和特点，对实施信息化制造所涉及的关键技术、参考模型以及供应链网络的信息共享方式进行了研究，在此基础上，提出了信息化制造的基础设施——供应链信息基础框架。     

电商集群的流量预测与不确定性区间估计

流量预测对智能容量规划和任务调度具有重要意义,然而大规模电商集群的流量会出现各种不确定的突发事件,如线上促销活动、用户聚集请求等。这些不确定性事件会导致时间序列中出现很 多突发脉冲,从而给流量预测带来巨大挑战。同时,容量预测应当对不确定性具有鲁棒性,即能很好地应对未来可能出现的情况,保证集群稳定性,而并非严格地根据预测值进行容量收缩。针对大规模分布式电商集群的流量场景以及动态容量规划的需求,该文提出了包含不确定性估计的流量实时预测框架。该框架基于多变量的长短期记忆网络自动编码器和贝叶斯理论,在进行流量确定性预测的同时能够给出准确的不确定性区间估计。     

乡村电商人才培养教学内容及路径研究

通过高校设计教育专业输出课程,培养有技术、重内容、懂品牌、善营销的乡村电商人才。以抖音平台为例,通过检索     

基于智能包装技术的电子商务减量化包装设计模式研究

目的 为了解决电子商务包装造成的包装资源浪费现象,探索减量化包装设计模式。方法 以我国电子商务包装存在的问题为研究基础,归纳智能化包装技术解决以上问题的优势,分析电子商务包装减量化设计的思路。结果 系统探索了智能化技术与电商包装结合的设计路径,提出电子商务减量化包装设计应从包装循环模式、包装结构的减量化、减量化智能包装材料的选取、包装装潢的虚拟智能设计等方面考虑。结论 智能包装技术为电商包装的现有问题提出了新的解决思路,将推动电子商务包装向更为减量化、安全化、和谐化的方向发展。     

Customer engagement behaviour on social commerce platforms: An empirical study

Web 2.0 applications and social media have transformed e-commerce into a new business paradigm, which is called social commerce. This development has changed the customers’ role and has empowered them by placing them in a unique position for influencing other buyers and providing guidance in purchasing decisions. Although a substantial amount of research has been conducted on customer behaviour, the understanding of the factors that influence customer engagement behaviour is limited, particularly in the social commerce context. This limitation is due to a lack of theoretical models for explaining such behaviour. In this study, the important factors that drive customer engagement on social commerce platforms are extracted from the literature. Drawing from social support theory, social presence theory, uses and gratifications theory, and the information system success model, we propose a new model for social commerce customer engagement. A survey-based empirical study with 203 respondents was conducted. The results demonstrated that customer engagement behaviour is strongly determined by social interaction, technological factors (interactivity and system quality), and motivational factors (hedonic and utilitarian motivations and perceived value). Among these factors, perceived value and social interaction had the most significant impacts on customer engagement behaviour on social commerce platforms. The theoretical and practical implications of the findings are discussed.     

Big Data Analytics Services for Enhancing Business Intelligence

This article examines how to use big data analytics services to enhance business intelligence (BI). More specifically, this article proposes an ontology of big data analytics and presents a big data analytics service-oriented architecture (BASOA), and then applies BASOA to BI, where our surveyed data analysis shows that the proposed BASOA is viable for enhancing BI and enterprise information systems. This article also explores temporality, expectability, and relativity as the characteristics of intelligence in BI. These characteristics are what customers and decision makers expect from BI in terms of systems, products, and services of organizations. The proposed approach in this article might facilitate the research and development of business analytics, big data analytics, and BI as well as big data science and big data computing.