A Distributed Online Custom System for Knitted Sweater

A new application of Sun ONE architecture — an online custom system for Knitted Sweaters is presented, which links sweater design, manufacturing and sales in different places to share information through the Internet.The framework and characteristics of J2EE and Sun ONE are analyzed. Having studied the requirements of the online custom system for knitted sweaters, the paper presents a detailed and original system design based on J2EE technology and Web Services. This paper also gives descriptions on how to assemble and deploy the whole system under the Sun ONE architecture.

Online Advertising and Customer Satisfaction of E-Tailing Firms in Nigeria

This study examined the Impact of Online Advertising on Customers Satisfaction of E-tailing Firms in Nigeria. A survey research design was adopted. The source of data used in this study was mainly primary data from the issuance of questionnaire and secondary data from the review of relevant literature bothering on both variables which formed the basis for the argument. Out of a total of three hundred and eighty four (384) copies of questionnaire distributed, two hundred and eighty five (285) copies was used for analysis and analyzed using Spearman’s Rank Order Correlation Coefficient with the help of Statistical Package for Social Sciences (SPSS). The findings of the study reveal amongst others that there is a positive and strong relationship between online advertising and customers’ satisfaction;and online advertising significantly affects customer satisfaction. The study concludes that online advertising influenced satisfaction of the customers to a strong extent. However, online advertising is a key determinant of customer satisfaction as it is considered as a point of interaction between customers and the company from which they buy their products. A heuristic model was proposed to show our contribution to knowledge that the relationship between e-mail marketing and measures of customer satisfaction is very strong and is moderate on all other tested hypotheses. And the study recommends that advertising managers of e-tailing firms must develop and formulate e-mail marketing programs that will satisfy the needs of consumers and advert should be placed on stations and places where consumers can easily identify with them and make a purchase. Suggestions for further studies were outlined.

Analysis of the Relationship Between Perceived Security and Customer Trust and Loyalty in Online Shopping

Advancements in the internet technology triggered a line of developments in the field of marketing. As an alternative to the conventional shopping, online shopping over the internet has gained substantial share of retail market. Customers get used to this new shopping venue and nowadays prefer it more and more according to the researchers, ten percent of the global population now uses internet for shopping. In this research, the author explored the relationship between the security measures implemented by a company, very active in the online shopping domain, and the customer trust and loyalty on the online services provided by this company. Findings of this research are based on survey data analyzed in SPSS. This research supports the existence of a relationship between the security of a company＇s website and customer trust and loyalty on the online services of this company When the perception of security measures improves, customer trust and loyalty increases accordingly

Aspect-Level Opinion Mining of Online Customer Reviews

This paper focuses on how to improve aspect-level opinion mining for online customer reviews. We first propose a novel generative topic model, the Joint Aspect/Sentiment (JAS) model, to jointly extract aspects and aspect-dependent sentiment lexicons from online customer reviews. An aspect-dependent sentiment lexicon refers to the aspect-specific opinion words along with their aspect-aware sentiment polarities with respect to a specific aspect. We then apply the extracted aspectdependent sentiment lexicons to a series of aspect-level opinion mining tasks, including implicit aspect identification, aspect-based extractive opinion summarization, and aspect-level sentiment classification. Experimental results demonstrate the effectiveness of the JAS model in learning aspectdependent sentiment lexicons and the practical values of the extracted lexicons when applied to these practical tasks.

Investigation on online shopping customer satisfaction——Taking samples from undergraduates in Shanghai

Electronic commerce in China underwent a sea change in recent years. More and more people are accustomed to shopping online. Improving customer satisfaction of online shopping is gaining signification for business to gain long-term customers and achieve their goals. Based on and enlightened by the traditional custom satisfaction model, we built a model especially for online shopping in China. Wc took samples from undergraduates in Shanghai and gained real data by sending out questionnaire and conducting survey both online and on the spot. Taking advantage of the SPSS19.0 with PLS plugin and SEM-PLS analysis method, we tested and proved some relations that we put foreward in the hypothesis. The value of our investigation and this paper lies in providing some enlightening perspectives for firms doing online business, which hopefully can help them improve costumer satisfaction and achieve firm goals.

Study on the Perceived Risk about the Online Shopping for Fresh Agricultural Commodities and Customer Acquisition

Fresh agricultural commodities have been entering the era of network marketing. However,the coverage population is still relatively small. In this paper,more than 400 online shopping customer survey data are statistically analyzed based on perceived risk multidimensional model by factor analysis method to classify the potential customers' perceived risk,concluding that food safety risks,mental health risk,relative convenience risk,liquidity risk,privacy risk and time risk are the most important risk factors that impact potential customers online shopping of fresh agricultural commodities. By using customers prediction model which is based on the classification and prediction methods to mining potential customers,it comes to the conclusion that men are more likely to purchase fresh agricultural commodities online,specifically,in the male sample,those whose average monthly net purchase cost equals to or is higher than 51 yuan or whose online shopping time equals to or is longer than 3 years and at the same time whose age is younger than 30 are the most potential customers. Finally,it puts forward corresponding countermeasures and suggestions from the perspectives of risk control and effective customer acquisition.

Understand the Customer Preference of Different Market Segments from Online Word of Mouth: Evidence from the China Auto Industry

With the explosive growth of social media, manufacturers and marketers are increasingly using public opinions in social media for their business decision making. This article aims to understand the customer preference of different market segments from online word of mouth. Using the real data collected from the leading online community of China auto and the ordered Logit model, we find that from the viewpoint of car types, the price is the most important factor for the customer satisfaction. However, from the viewpoint of price range, the price is no more the most important factor for the customer satisfaction. From both viewpoints, the results are similar that different car attributes have different weights on satisfaction. Our findings will make the car manufacturers and marketers come away with a more detailed understanding of the mindset of Chinese consumer groups, and keep a competitive advantage in the fierce China auto market.

Empirical Effects of Online Retailing Recommendations

Online recommendation solves the current information overload problem in the online retailing businesses. Given relevant products by adopting recommendation algorithms, online shoppers can save time on searching and browsing for contents that they are interested in. Hence, in the increasing interests of online retailers, an empirical study was conducted to light the effectiveness of different entitled recommendations reflect on online shoppers. Working with a simulated online shopping establishment, the findings provide online retailers important guidelines regarding online customers’ behaviors.

Contextual Influences＂ Online Service Failure and Recovery Strategies

In recent years, service failure and recovery strategies have generated considerable interest among both researchers and marketers. The Internet environment has transformed the concepts of service failure and recovery strategies from a dyadic customer-provider focus into a multidimensional web quality scope. In traditional encounters, the research spectrum of service failure and recovery strategies is very much developed from a customer service approach and the responsibility of recovery has been traditionally assumed to be something that is assigned to the marketer. Studies pay little or no attention to the multidimensional nature of service failures contingent to recovery strategies in developing countries. To date, empirical studies have focused on service failures and recovery strategies in developed countries. This paper aims to provide some insights on the need for a context-specific development of recovery programmes and strategies suitable for developing countries.

China Cultural Center in Wellington:Celebration of Mid-Autumn Festival Online

Presenting the Mid-Autumn cultural and festival customs while highlighting the tourism concept and regional information,represented one of the starting points of the planning of the series of activities,Mid-Autumn Festival:A Moonmoment to Remember,by China Cultural Center(CCC)in Wellington.

面向产品设计改进的顾客偏好分析与预测

针对顾客产品偏好快速变化对企业分析和预测顾客偏好能力的要求,提出一种面向产品改进的顾客偏好分析与预测方法,首先构建长短期记忆网络模型,预测产品设计迭代期间的情感值和重要度,并计算预测准确度;然后通过基于产品特征情感变化模式的产品设计改进模型判断各个特征的变化模式,明确待改进的产品特征及改进优先级;最后以DJI Mini 2无人机的在线评论为例验证了方法的有效性。

基于在线评论的运动服装顾客满意度研究

在纺织服装行业中,运动服装市场是最具潜力的市场。充分认识和了解顾客需求、提高顾客满意度是运动服装企业获取竞争优势的关键。本文运用文本挖掘的方法,以运动服装产品为研究对象,采集顾客的在线评论数据,对运动服装产品的顾客满意度进行研究。通过词频分析、情感分析和主题模型分析,明确了顾客满意度的主要关注点以及情感倾向,揭示了顾客满意度的影响因素主要有产品品质、产品性能、产品特色和平台服务四个方面。在此基础上,对运动服装企业提升顾客满意度提出相应建议。

面向小型团体的旅游产品定制方法

为满足游客日趋个性化的旅游需求,定制旅游越来越受到关注。针对小型团体游客的旅游产品定制问题,提出一种基于游客需求和在线旅游产品信息的旅游产品定制方法。在线收集旅游产品信息,获取某小型团体游客旅游需求;根据旅游需求在已收集的在线旅游产品中初步筛选适合的产品,计算所选产品满足游客需求的程度和其效用值,选取效用值较高的产品作为初始旅游产品;进一步通过选择或调整得到可使游客满足程度达到一定阈值的旅游产品方案,并通过算例说明给出方法的可行性与实用性,旨在推出一种能够满足游客需求的旅游产品定制方法。

从“在线”到“在场”——元宇宙赋能酒店在线商品展示对顾客购买意愿的影响

信息技术的快速发展使顾客能够线上了解和体验商品利益,线上商品展示已成为酒店业重要的营销策略。随着Web 3.0时代的迈进,虚拟现实技术作为一种新兴的在线商品展示方式受到了广泛关注。文章基于情境线索理论和双系统理论模型,通过三项实验深入探讨了酒店在线商品展示对顾客购买意愿的影响机制。实验结果表明,与传统的图片和视频展示方式相比,虚拟现实技术能够显著提高顾客的社会临场感和感知诊断性,从而显著增强其购买意愿。同时,展示方式中融入人类或富有视觉元素的情境能进一步增强社会临场感和感知诊断性。此外,对于满意型决策风格的顾客,这种影响尤为显著。研究结论丰富了在线商品展示与购买意愿的相关理论体系,以期为酒店制定在线商品展示策略提供决策参考。

服装在线定制中价值共创行为研究进展

服装消费的观念变革和需求升级加大了定制服装市场的竞争;在个性化服装定制需求急剧增加的情况下,体验经济的崛起促使服装定制企业强调用户在产品设计或服务中的参与体验,从而使得服装在线定制的模式向企业与用户共同创造的方向转变。基于CiteSpace文献分析软件对服装定制和价值共创关键词进行了统计分析,探讨在线服装定制中用户价值共创的研究进展。采用文献综述和研究归纳的方法,梳理了服装定制的形式演进及在线定制的主要特征,归纳了通过“参与设计”和“资源共享”两种方式进行价值共创的思路,探讨了用户、企业、平台之间的价值共创机理,提出了促进服装在线定制用户价值共创的建议。

考虑竞品信息的顾客满意度研究

产品研发的根本驱动力是实现顾客满意,少有研究结合竞品信息探究产品的顾客满意度。综合“比较问答”和“在线评论”等在线用户生成信息,提出一种考虑竞品信息的综合顾客满意度建模方法。首先,通过挖掘在线问答中的比较问题识别竞品,基于比较回答的情感分析计算产品间的比较得分,构建比较网络,利用PageRank算法计算竞争顾客满意度。其次,运用LDA主题提取和情感分析从在线评论中提取基础顾客满意度。最后,结合竞争满意度和基础满意度获得综合顾客满意度。以红米K50的顾客满意度测度为例进行了案例分析,结果表明,综合顾客满意度结果与销量数据高度一致,可为产品改进提供决策依据。

基于FPGA的智能在线升级存储系统设计

为解决工业测试领域中存储系统程序更新需频繁拆卸的问题且存在无上位机数据存储的特殊需求,提出基于FPGA的智能在线升级存储系统设计。系统以FPGA为主控,采用千兆以太网与FLASH组合方案,更新指令及配置文件通过千兆以太网下发到程序存储器,对SPI Flash进行分区擦除写入,从而实现FPGA程序的在线升级。同时,光耦指令解析模块使系统摆脱上位机依赖,能独立完成智能数据存储,此外,系统还集成自定义DR_UDP协议反馈可靠设计,优化了千兆以太网口的通信效率与稳定性。经功能验证分析,该系统运行稳定,灵活可靠,千兆以太网传输速率达700 Mb/s,且未发现数据丢失,可广泛应用于诸多不便拆卸的场景。

服务质量与感官体验对服装在线定制意愿的影响

为探究服装在线定制服务质量与感官体验对消费者定制意愿的影响机制,构建了以服装在线定制服务质量、感官体验为自变量,感知价值为中介变量,在线定制意愿为因变量的理论模型。以在线定制消费群体为对象,使用描述统计分析、因子分析、回归分析对收集有效问卷进行数据统计,探索了服装在线定制意愿的影响因素并优化了消费者评价指标。研究表明,在线定制服务质量(易用性、履行性、安全性、信息性、个性化服务)、感官体验(审美性、生动性)对感知价值有积极影响;在线定制服务质量(履行性、安全性、信息性)、感官体验(审美性、生动性)、感知价值对服装在线定制意愿有积极影响;感知价值在服务质量(易用性、履行性、安全性、信息性、个性化服务)和在线定制意愿之间起中介作用,且在感官体验(审美性、生动性)和在线定制意愿之间起完全中介作用。研究结论丰富了S-O-R模型理论,并从服务质量、感官体验方面丰富了服装在线定制意愿的影响因素研究,可为服装定制技术开发以及消费者评价指标构建提供参考。

基于情境认知的智能家居线上定制体验设计策略研究

探究提升智能家居线上定制体验感知的设计方法。对现有智能家居线上定制平台进行调研分析,总结体验问题,将情境认知理论引入线上定制体验设计中。提出“营造日程化情境的主动参与式定制体验”“构建动态联动的虚拟定制空间环境”“打造渐进式引导的定制交互方式”3个维度的设计策略,为智能家居线上定制体验设计研究与实践提供借鉴。