虚拟销售代理的拟人效应

网络购物中的虚拟销售代理(Virtual Sales Agent)是指通过口头或非口头形式与消费者互动和交流的具有拟人化特征的动态人物形象, 它可以为消费者提供商品和服务的信息以及必要的帮助。近年来, 大量研究证实了虚拟销售代理的拟人效应, 即当在网络购物环境中加入拟人化的销售代理时, 就会对购物者的在线购物过程感知体验和购物意向产生积极影响。相关理论从不同视角解释了虚拟销售代理拟人效应发生的原因。综述以往的实证研究发现, 虚拟销售代理拟人效应的发生受到虚拟销售代理特征、消费者因素以及商品因素等方面的影响; 社会临场感、个性化服务知觉、社会支持感、信任和风险感知是拟人效应发生的内在心理机制。未来研究应关注虚拟销售代理拟人效应的神经生理基础, 丰富拟人效应发生的影响因素, 加强对个性化定制虚拟销售代理的研究, 探讨虚拟销售代理的消极影响, 以及不利于虚拟销售代理使用的障碍性因素。     

关于电子商务网页设计的人机工程学思考

1 引言电子商务(e-commerce)这一概念是Livermore于20世纪80年代末首先提出的。随着互联网技术的迅速发展.电子商务逐渐渗透到现代商业的各个领域。电子商务有多种类型,其中最为常见的是在互联网上建立虚拟商场,为人们提供一种新的购物方式。由于互联网这种媒体的特殊性,网上购物和传统的购物方式在许多方面有很大差别。根据Renaud(2001)等人的研究,人们在网上购物的过程可以分为两个阶段:首先是观察与查找当前这个网站提供什么商品,并对它们进行比较,决定是否购买;然后是付     

关于《医学与哲学》杂志在线投稿的严正声明

正近来有机构在网上非法发布代理本刊投稿、代刊论文等信息,干扰了本刊正常出版秩序,本刊亦接到作者反映,对此严正声明如下:1.本刊从未与任何其他网站和公司签订协议,委托其发布本刊的投稿、代刊论文等信息。任何关于代理本刊投稿的网站     

网络经济与网络企业竞争力探讨

人类社会在进入新千年之际突然发现自己已完全进入了一个新的经济时代。虚拟经济、知识经济、网络经济这些新名词在上个世纪后期逐渐出现时 ,人类社会可能还没有意识或准备好它们所带来的革命性的变革 ,而当8848,酷必得等电子商务网站在你不经意的鼠标一点中带来了新的生活方式之后 ,你会深切的体验到一场新的经济革命的到来——— 2 1世纪是网络经济的世纪。据有关专家预测 ,今年全球信息产业将达到 10 0 0 0亿元的产值 ,网络产业将迅速代替钢铁、汽车 ,成为第一大产业。与网络有关的企业也如雨后春笋般地出现 ,目前仅中国的网站就达 1 5万…     

关于《医学与哲学》杂志在线投稿的严正声明

正近来有机构在网上非法发布代理本刊投稿、代刊论文等信息,干扰了本刊正常出版秩序,本刊亦接到作者反映,对此严正声明如下:1.本刊从未与任何其他网站和公司签订协议,委托其发布本刊的投稿、代刊论文等信息。任何关于代理本刊投稿的网站均属假冒,如"中国期刊采编中心"(www.lunwen82.com/index.     

关于《医学与哲学》杂志在线投稿的严正声明

正近来有机构在网上非法发布代理本刊投稿、代刊论文等信息,干扰了本刊正常出版秩序,本刊亦接到作者反映,对此严正声明如下:1.本刊从未与任何其他网站和公司签订协议,委托其发布本刊的投稿、代刊论文等信息。任何关于代理本刊投稿的网站均属假冒,如"中国期刊采编中心"(www.lunwen82.com/index.     

关于《医学与哲学》杂志在线投稿的严正声明

正近来有机构在网上非法发布代理本刊投稿、代刊论文等信息,干扰了本刊正常出版秩序,本刊亦接到作者反映,对此严正声明如下:1.本刊从未与任何其他网站和公司签订协议,委托其发布本刊的投稿、代刊论文等信息。任何关于代理本刊投稿的网站均属假冒,如"中国期刊采编中心"(www.lunwen82.com/index.html);"中国论文网"(www.lunwen02.com/index.html)等。     

关于《医学与哲学》杂志在线投稿的严正声明

正近来有机构在网上非法发布代理本刊投稿、代刊论文等信息,干扰了本刊正常出版秩序,本刊亦接到作者反映,对此严正声明如下:1.本刊从未与任何其他网站和公司签订协议,委托其发布本刊的投稿、代刊论文等信息。任何关于代理本刊投稿的网站均属假冒,如"中国期刊采编中心"(www.lunwen82.com/index.html);"中国论文网"(www.lunwen02.com/index.html)等。     

关于《医学与哲学》杂志在线投稿的严正声明

正近来有机构在网上非法发布代理本刊投稿、代刊论文等信息,干扰了本刊正常出版秩序,本刊亦接到作者反映,对此严正声明如下:1.本刊从未与任何其他网站和公司签订协议,委托其发布本刊的投稿、代刊论文等信息。任何关于代理本刊投稿的网站均属假冒,如"中国期刊采编中心"(www.lunwen82.com/index.html);"中国论文网"(www.lunwen02.com/index.html)等。     

关于《医学与哲学》杂志在线投稿的严正声明

正近来有机构在网上非法发布代理本刊投稿、代刊论文等信息,干扰了本刊正常出版秩序,本刊亦接到作者反映,对此严正声明如下:1.本刊从未与任何其他网站和公司签订协议,委托其发布本刊的投稿、代刊论文等信息。任何关于代理本刊投稿的网站均属假冒,如"中国期刊采编中心"(www.lunwen82.com/index.html);"中国论文网"(www.lunwen02.com/index.html)等。     

B2C电子商务中的消费者决策支持系统

B2C电子商务环境下的决策支持系统主要包括专家系统,推荐系统和智能代理系统或者其组合等。其目标是帮助消费者发现和澄清需求,在网络海量的信息环境下发现和比较信息,筛选符合客户需要的产品,或者提供建议。该文回顾了近年来网上决策支持系统的研究进展,并对其在B2C电子商务中的应用前景和研究发展趋势进行了预测与展望     

E-commerce Review System to Detect False Reviews

E-commerce sites have been doing profitable business since their induction in high-speed and secured networks. Moreover, they continue to influence consumers through various methods. One of the most effective methods is the e-commerce review rating system, in which consumers provide review ratings for the products used. However, almost all e-commerce review rating systems are unable to provide cumulative review ratings. Furthermore, review ratings are influenced by positive and negative malicious feedback ratings, collectively called false reviews. In this paper, we proposed an e-commerce review system framework developed using the cumulative sum method to detect and remove malicious review ratings.     

电子商务中消费者购买决策及其影响因素

电子商务是随着计算机和互联网技术的发展而出现的一种新经济模式, 它正在广泛而深刻地影响着人们的购物观念和购物方式。网上购物是指通过互联网购买商品或享受服务, 也是通常所指的电子商务。国内外关于网上购物的研究缺乏从影响因素到中介作用最后到实际购买关系的整体研究框架。研究者从消费者角度提出了网上购物决策的整体框架, 拟采取访谈法、问卷调查、实验室模拟方法和服务器日志文件收集数据, 探讨我国文化背景下消费者的网上购买决策, 拟探明：影响消费者网上购买决策的因素; 风险认知和网上购物态度在模型中的中介作用; 产品类型、消费者类型及其与网上购物决策模式的关系。预期研究成果对我国电子商务购物环境的改善、电子商务网站的设计、网上营销策略的制定有着重要的意义。     

Summarization of videos by analyzing affective state of the user through crowdsource

Video summarization is one of the key techniques to access and manage a huge chunk of videos. Video summarization is used to extract the effective contents of a video sequence to generate a concise representation of its content. The involvement of crowdsourcing models in recent years is effectively used by researchers in E-commerce domain to increase the quality of the data contents. In this paper, we present a video summarization framework based on users emotion while they watch videos by analyzing cerebral activities through Electroencephalogram (EEG) signals. Three emotions, namely happy, sad and neutral have been extracted from the EEG signals. Video frames have been synchronized with EEG signals and tagged with various emotions. Finally, a crowdsourcing model has been used for effective summarization of the videos. The qualitative assessment of video summarization has been conducted with the help of user ratings using online Google Forms application. EEG signals of 28 users have been recorded while video streams of different emotions. An average accuracy of 83.93% has been recorded in emotion classification using crowdsourcing. Output summarized videos include dynamic video skims and the corresponding audio stream for better understanding.     

Understanding consumers' purchase intention in virtual reality commerce environment

Virtual reality (VR) has developed rapidly and drawn the attention of businesses. E-commerce practitioners have used VR to improve business performance and satisfy consumers' needs by enhancing the shopping experience and increasing purchase intention. To explore the effects of VR shopping platforms on purchase intention, this study developed a theoretical framework on the basis of task–technology fit. The framework comprises technological characteristics and user needs (intrinsic and extrinsic motivation) and can be used to investigate perceived needs–technology fit and identify factors affecting intention to purchase on VR platforms. This study distributed an online questionnaire and received 336 responses. Analysis was performed using partial least squares structural equation modeling. The results suggested that purchase intention is stronger when perceived needs–technology fit is closer. Hedonic needs play a vital role in perceived needs–technology fit. In terms of technological characteristics, relative advantage, and service compatibility strongly affect perceived needs–technology fit. In addition, feelings of spatial presence, a key component of VR, positively affect relative advantage, service compatibility, and trialability and negatively affect complexity. The implications of the findings are also discussed.     

Beauty,the social network1

Aesthetic values give agents reasons to perform not only acts of contemplation, but also acts like editing, collecting, and conserving. Moreover, aesthetic agents rarely operate solo: they conduct their business as integral members of networks of other aesthetic agents. The consensus theory of aesthetic value, namely that an item’s aesthetic value is its power to evoke a finally valuable experience in a suitable spectator, can explain neither the range of acts performed by aesthetic agents nor the social contexts in which they operate. This paper proposes a new theory of aesthetic value specifically to explain facts about the sociality of aesthetic agents.     

Psychological contract and job security among call centre agents: Preliminary evidence

This study explored call centre agents’ perceived psychological contract and job security in a South African call centre setting. We interviewed a purposive sample of 12 call centre agents (female = 8, male = 4; black = 10, coloured = 2; permanent employees = 12; mean period of service = 3 years). The agents responded to semi-structured interviews. Thematic analysis of the data indicated that the call centre agents perceived their psychological contracts with the employer to influence their job security over and above their legal contracts. Call centre agents’ perceptions of unmet psychological expectations and obligations contributed to their workplace demotivation and disengagement. We propose a preliminary conceptual model for studying psychological contract and job security among call centre agents.     

Characteristics of Decredentialed Agents in a Military Law Enforcement Agency

We used archival data from 99 decredentialed agents, 52 non-decredentialed agents, and 46 agents who earned awards to examine whether information obtained at the time of selection would be useful in predicting problematic behaviors of federal law enforcement military personnel. We found that agents were decredentialed most commonly for inappropriate sexual behavior and behavior for personal gain; decredentialing tended to occur early in the agent's career. In about a quarter of decredentialing cases, agents were deployed or were on temporary duty outside the country. We discuss implications of our findings for selecting, training, and supervising law enforcement agents within military organizations.     

What Is the Model of Trust for Multi-agent Systems? Whether or Not E-Trust Applies to Autonomous Agents

A socio-cognitive approach to trust can help us envisage a notion of networked trust for multi-agent systems (MAS) based on different interacting agents. In this framework, the issue is to evaluate whether or not a socio-cognitive analysis of trust can apply to the interactions between human and autonomous agents. Two main arguments support two alternative hypothesis; one suggests that only reliance applies to artificial agents, because predictability of agents’ digital interaction is viewed as an absolute value and human relation is judged to be a necessary requirement for trust. The other suggests that trust may apply to autonomous agents because predictability of agents’ interaction is viewed only as a relative value since the digital normativity that grows out of the communication process between interacting agents in MAS has always deal with some unpredictable outcomes (reduction of uncertainty). Furthermore, human touch is not judged to be a necessary requirement for trust. In this perspective, a diverse notion of trust is elaborated, as trust is no longer conceived only as a relation between interacting agents but, rather, as a relation between cognitive states of control and lack of control (double bind).     

ACACIA: an agent-based program for simulating behavior to reach long-term goals

We present ACACIA, an agent-based program implemented in Java StarLogo 2.0 that simulates a two-dimensional microworld populated by agents, obstacles and goals. Our program simulates how agents can reach long-term goals by following sensorial-motor couplings (SMCs) that control how the agents interact with their environment and other agents through a process of local categorization. Thus, while acting in accordance with this set of SMCs, the agents reach their goals through the emergence of global behaviors. This agent-based simulation program would allow us to understand some psychological processes such as planning behavior from the point of view that the complexity of these processes is the result of agent–environment interaction.