Trust beyond Technology Algorithms: A Theoretical Exploration of Consumer Trust and Behavior in Technological Consumption and AI Projects

In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing customer trust in AI systems through a mixed-methods approach, blending quantitative analysis with qualitative insights to create a comprehensive conceptual framework. Quantitatively, the study analyzes responses from 1248 participants using structural equation modeling (SEM), exploring interactions between technological factors like perceived usefulness and transparency, psychological factors including perceived risk and domain expertise, and organizational factors such as leadership support and ethical accountability. The results confirm the model, showing significant impacts of these factors on consumer trust and AI adoption attitudes. Qualitatively, the study includes 35 semi-structured interviews and five case studies, providing deeper insight into the dynamics shaping trust. Key themes identified include the necessity of explainability, domain competence, corporate culture, and stakeholder engagement in fostering trust. The qualitative findings complement the quantitative data, highlighting the complex interplay between technology capabilities, human perceptions, and organizational practices in establishing trust in AI. By integrating these findings, the study proposes a novel conceptual model that elucidates how various elements collectively influence consumer trust in AI. This model not only advances theoretical understanding but also offers practical implications for businesses and policymakers. The research contributes to the discourse on trust creation and decision-making in technology, emphasizing the need for interdisciplinary efforts to address societal challenges associated with technological advancements. It lays the groundwork for future research, including longitudinal, cross-cultural, and industry-specific studies, to further explore consumer trust in AI.

Modelling the Roles of Cewebrity Trust and Platform Trust in Consumers’Propensity of Live-Streaming:An Extended TAM Method

Live streaming is a booming industry in China,involving an increasing number of Internet users.Previous studies show that trust is a cornerstone to develop ecommerce.Trust in the streaming industry is different from that of other e-commerce areas.There are two major dimensions of trust in the live streaming context:platform trust and cewebrity trust,which are both important for customers to adopt and reuse a specific live streaming service.We collected questionnaire data from 520 participates who have used live streaming services in China.We model the collected data and identified factors that can influence users’propensity by an extended technology acceptance model(TAM)method.According to our analysis,both cewebrity trust and platform trust will greatly influence users’intention to reuse a certain platform.Moreover,results also indicate that cewebrity trust is far more important than platform trust.These findings can lead to several management strategies to improve the adherence of users to streaming platforms.

Direct Marketing and Consumer Trust in Organic Food Products： Vilnius （Lithuania） Case

The market of organic food products has a continuous upward trend though the growth rate and sale channels in individual countries are rather different. This research aims to identify the key factors that influence consumers＇ choice to buy organic food products in Lithuania focusing on the consumer trust in the quality and the most acceptable marketing channels. In order to get the necessary information, the residents of Vilnius （the capital of Lithuania）, as having the greatest potential for the organic food market in the country, were interviewed. The analysis of collected data was done using the methods of mathematical statistics and comparison of relative frequencies. The results of this research prove the increasing consumers＇ interest in organic food products. The majority of consumers consider these products to be healthier, better-tasting and fresher. Only about a third of the purchasers （usually buying frequently） can see differences between organic and non-organic products, therefore, there is a problem to distinguish organic food from conventional products and, consequently, remains a possibility to cheat the consumer. An additional quality control and direct sales from known and familiar farmers might increase trust in the quality of organic food products. So far, supermarkets are the most important place to buy organic foods, however, the greater consumer confidence in the quality of organic products bought at farmers＇ markets and the acceptance of the majority of purchasers to buy organic food products directly from the farmers suppose the need to develop a direct marketing system.

Diplomatic Implications of Women＇s Work in American Consumer Society

American foreign policies have observed guiding principles of democracy, yet an overemphasis on political values leads to more conflicts than mutual understandings in today＇s world. Therefore, this paper proposes that exploring diplomatic implications of ＂women＇s work＂ provides new insights into cultural values of the Four Freedomsmmajor pillars supporting modern American liberalism. This paper foregrounds the domestic and diplomatic significance of ＂women＇s work＂ by analyzing women＇s contributions as laborers at home, in the labor force, and in American consumer society. As American women participated in the paid labor force and took up most consumptive activities, women outside America also worked hard to provide food and care for families. This paper argues that a more comprehensive definition of＂women＇s work＂ is not only indispensable for the development of American industry, consumer society, and the expansion of marketplace, but integrates a system of dualisms separating wage labor and housework, or divisions between spheres of men and women. Moreover, investigations into hidden values of women＇s work alleviate worries arising from information revolution and economic globalization. Moreover, placing women＇s work in perspective enables diplomats to see through factors leading to international hostilities, to reduce conflicts arising from information revolution and economic globalization, and to understand America＇s soft power pertinently.

Initial Analysis on the Legal Protection of Consumers＇ Rights and Interests in Network Transaction

With the development of network technology and information technology, electronic commerce as a new business model wiht itsnew trading ideas-＋, In changing the traditional business structure,but also gradually changing people’s shopping patterns and consumptionpatterns,Online shopping has become the preferred way of shopping.Changes in consumption patterns will inevitably lead to new problems inthe process of consumption,and the development speed of the problem in sync with the development speed of network economy,as far as therenewal speed of laws and regulations is concerned,this asymmetric development is bound to bring great inconvenience to the consumer rights innetwork transactions.In this paper, from the angle of legal protection,the protection of consumer rights and interests in network transactions areexpounded,analysis of the current situation and reasons of the consumers’ rights and interests are infringed upon in the network transaction,learnfrom the experience of foreign consumer rights and interests protection,In order to put forward effective suggestions on the system constructionof the protection of consumer rights and interests.

An Ecological Interpretation of Consumer Culture in Willa Cather's The Professor's House

The Professor's House presents the readers pictures with striking consumer culture characteristics. With abundant goods of sign values, conspicuous consumption, swelling-desire-stimulating power and the individuals' efforts to construct their identities through consumption as dominant features, consumer culture exerts negative and even devastating effects on the characters in the novel. Theories of ecocriticism shed new lights on the interpretation of consumerism reflected in the novel, especially on analyzing how the consumer culture makes the characters suffer from split personality, alienation from nature, society, and even from themselves and their spiritual ecology.

消费者信息素养对社区支持农业(CSA)可持续发展的影响--基于绿色信任的中介效应

信息和生态已经成为推进绿色农业发展的主导要素,提升消费者信息素养和绿色信任则是保障绿色农业发展模式可持续的关键.信息素养分为信息意识、信息知识和信息能力,绿色信任分为能力信任和善意信任.以新型绿色农业发展模式的代表社区支持农业(CSA)为例,基于820份CSA消费者调查问卷研究发现:消费者信息素养,以及消费者信息素养的3个维度对CSA可持续发展均具有正向显著影响;绿色信任在消费者信息素养和CSA可持续发展之间起中介作用;能力信任在消费者信息意识、信息知识和CSA可持续发展之间起中介作用;善意信任在消费者信息能力和CSA可持续发展之间起遮掩作用.因此,推进CSA可持续发展,不仅要提升消费者信息素养,加强生产者对网络、电商、物流等信息技术的应用,而且还要充分发挥社会力量在产销双方之间的桥梁作用,加强政府部门对CSA的制度和经济支持,为提升消费者绿色信任服务.

基于S-O-R模型的视觉营销对消费者购买意愿的影响研究——以红色文创网店为例

为提高红色文创网店的点击转化率,文章从消费者视角出发,研究影响消费者购买意愿的视觉因素。基于S-O-R模型理论,构建红色文创网店视觉营销对消费者购买意愿因素的理论模型。利用S-O-R模型分析了红色文创网店视觉营销中的商品形象、界面形象以及品牌视觉形象对顾客感知价值及顾客购买意向的影响。通过设计量表和调查问卷进行实证研究,并结合结构方程模型加以论证,得出品牌视觉形象和界面形象是影响消费者购买意愿的关键因素,为设计师和红色文创品牌进行网店设计提供了一定的理论参考和建议。

Determinants of Online Buying Behaviour of Social Media Users in Cameroon

Online shopping in Cameroon is growing rapidly and gaining considerable ground.The phenomenon is relatively new as compared to the traditional brick-and-mortar store(serving customers face-to-face in a building rather than online).As the world faces digital transformations,businesses in Cameroon are seeking new ways to reach their customers and create favourable environments to effectively carryout online purchase.This study examines the factors that affect consumer online buying behaviour in Cameroon.Three theories guided this investigation:the Technology Acceptance Model(Davis,1989),Diffusion of Innovations Theory(Rogers,1995),and Uses and Gratifications Theory(Katz&Blumler,1974).The study focuses on students of the University of Buea who carry out online shopping.Purposive sampling is used,and data are collected from 365 respondents through a questionnaire with open and closed ended questions.Analysis of data is done with the use of the Statistical Package for Social Scientists(SPSS)Version 21 to determine the types of products consumers buy online;the degree to which consumer trust and satisfaction affect consumer loyalty;and the specific social,economic,and market factors that affect online buying behaviour.Findings indicate that:Consumers mostly buy fashion items(74.3%),electronics(44.7%),cosmetics(37.3%),and house equipment(34%)online.Consumers will repeat purchase from a marketer if they trust and are satisfied with the product and service quality(81.1%);hence,they will also encourage others to buy.If they are dissatisfied,they will not repeat purchase from the online store.Advertisement(76.1%),attractive pricing/discount(71.7%),product quality(71%),service quality(64.1%),convenience(72.3%),available income/money(49.6%),word of mouth recommendation(41.9%),and personal motivation(62.7%)constitute the major factors that affect consumer online buying behaviour.Results of the hypotheses testing show that:H1=Consumers buy more of fashion items online(X^(2)=9.950;df=16;p=0.869);H2=There is a significant relationship between trust and satisfaction and consumers online buying behaviour(X^(2)=270.765;df=16;p=0.000);and H3=Social,economic,and market factors significantly affect consumer online buying behaviour(X^(2)=106.328;df=16;p=0.000).The study recommends online marketers to develop their marketing strategies towards customer orientation and focus on the ease of use of their online shopping services.

一种新的基于改进型D-S证据理论的P2P信任模型

在大规模对等网(P2P)文件共享环境中,节点之间信任问题亟需解决。该文提出一种基于改进型D-S证据理论的P2P信任模型,给出了该模型的数学分析和抑制各类恶意节点攻击的措施。实验证明该算法较已有的一些信任机制在系统成功交易率、模型的安全性等问题上有较大改进。

整合SOR和承诺信任理论的消费者社区团购研究

社区团购目前已经成为最具发展潜力的零售电子商务模式,本文基于SOR理论和承诺信任理论,通过构建社区团购消费者参与行为理论模型及调查问卷,统计分析了消费者的社区团购行为。结果表明:基于社区特性和团购特性的社区团购具备互动性、亲近性、熟悉性、便利性和经济性的特点。其中,互动性、亲近性和熟悉性能够显著增强消费者信任感知和关系承诺感知,而便利性和经济性能够显著影响消费者的满意度和关系承诺,信任、满意度和关系承诺又进一步影响消费者社区团购的参与意愿和行为。该结果说明了社区特性和团购特性的重要性,证实了信任、满意度和关系承诺在社区团购中发挥的作用。

一种基于D-S证据理论的QoS可信度评估方法

为识别虚假QoS信息并识别Web服务间的共谋欺骗行为,提出了一种基于D-S证据理论的QoS可信度评估方法.该方法从公共信任(即基于服务间的历史交互记录)和私有信任(即基于服务自身交互经验)两方面评估QoS可信度,量化QoS信息,并以此判定QoS真实性,揭露和辟除Web服务间的共谋欺骗行为.仿真实验表明:该方法随着Web服务交互次数的增加,可信服务请求成功率也逐步上升,且要高于基于用户反馈的方法(即无法识别虚假、恶意服务的传统方法).实验结果初步验证了该方法的可行性和有效性.

一种基于D-S证据理论的P2P信任模型

基于D-S证据理论的信任模型不能合成证据信息。为此,采用重新分配冲突概率与引入权重系数的策略,提出一种改进的D-S证据合成规则IDSECR,并将其用于P2P网络的信任建模,建立一种基于D-S证据理论的P2P信任模型,解决传统信任模型无法处理冲突程度高而引起的信任度计算不准确问题。仿真实验结果表明,在恶意节点攻击的情况下,该模型具有较高的交易成功率。

二项分布Bayes鉴定试验次数的选择与分析

讨论了二项分布的可靠性Bayes鉴定试验方案问题。在试验样本量一定的条件下,充分利用验前信息弥补现场试验信息的不足,从平均后验风险角度制定了成败型系统可靠性鉴定试验的Bayes方案。密切结合工程试验,从生产和使用双方的实际风险的角度,研究分析了Bayes可靠性鉴定试验与评估的联系与差异。最后,与传统的鉴定试验方案进行了分析比较,明确了Bayes方法的使用范围,对于工程试验方案的选择具有实际的指导意义。

基于D-S证据理论的无线传感器网络信任评估模型

信任评估模型对无线传感器网络的可靠运行和安全保障具有重要意义。提出了一种基于D-S证据理论的信任评估模型。模型给出了节点信任值的形式化定义;利用基本置信度函数计算直接信任值,通过邻居节点的推荐获取间接信任值;在此基础上,对直接、间接信任值进行基于权重的修正,并根据Dempster组合规则予以合成,最终得到节点综合信任值。仿真结果表明,该模型具有良好的动态适应性和容错性,能实时、准确地发现恶意节点,有效提高了无线传感器网络的安全性。

基于C/S模式的医疗耗材管理系统设计与开发

无论从加强医院的管理还是从成本核算的角度分析,医疗消耗材料的管理都是医院管理中的一个重要组成部分。依据医院耗材管理系统的设计与开发的实践经历,着重介绍了一个基于C/S模式的医疗耗材管理系统的设计方案及系统的主要功能和特点,包括系统数据库设计和系统安全性。

网络消费者初始信任的Logistic模型研究

假设网络消费者的感知、网络消费者的自我效能、网络消费者的个人信任倾向、企业地域特征、企业展示、社会暗示等6个因素是影响网络消费者初始信任的主要原因。在数据调研的基础上,构建网络消费者初始信任的Logistic模型,分析了各因素对网络消费者初始信任形成的影响和重要程度,研究结论可为更好地开展网络商务提供指导。