Reinforcing of Citizen’s Trust in E-Government: The Cameroon’s Case

The embracing of ICTs and related technologies has enhanced different approaches for governments worldwide to deliver services to their citizens in a smart way. However, the usage of e-government services by common citizens is recognized as one of the major setbacks of e-government development in both developed and developing countries. Moreover, government agencies in these countries are facing great challenges in keeping the citizens motivated enough to continue to use e-government services. This research aims to investigate the factors that influence citizens’ trust towards continue use of e-government services in Cameroon. The proposed research model consisted of three main constructs including technological, governmental, risk factors as well as six demographic characteristics (age, gender, educational level, income, internet experience and cultural perception). A five-point Likert scale questionnaire was designed to collect data physically and electronically, 352 valid questionnaires were retrieved. Simple and Multiple regression analysis methods were applied to build an adequate model based on the verification of hypotheses proposed. Based on results obtained, four demographic characteristics (age, education, occupation and income) have influence on citizens’ trust in e-government meanwhile gender and cultural affiliation have no influence. Furthermore, technological factors and governmental factors positively influence trust level in e-government, whereas risk factors have a negative influence on trust level. Deducing from the results, a list of recommendations is proposed to the government of Cameroon in order to reinforce citizens’ trust in e-government services.

Understanding trust-related factors affecting citizen adoption of e-government services

Purpose:Today,the use of e-government services is still at a low level in China.Based on the understanding that citizen trust is an important factor influencing e-government adoption,this research tries to develop a model of citizen trust in e-government in an effort to study the impacts of trust-related factors on citizen intentions to adopt e-government services.Design/methodology/approach:The data was collected from an online survey of 182Chinese users who had more than 3 years' online experiences of using government websites.Structural equation modeling analysis was used to validate the proposed model.Findings:Our survey shows that trust in e-government,perceived usefulness and perceived ease of use are critical factors that influence citizen intentions to use e-government services.The study findings also indicate that citizen trust in e-government is positively associated with trust in government,institution-based trust and perceived usefulness of e-government services.Research limitations:The survey sampled adults aged from 25 to 35 years old.Such a limited sample group cannot represent all of the population.So a larger sample involving more experienced online users will yield more useful results.Practical implications:The study results will help government agencies,especially the Chinese government agencies,find ways to improve the Chinese citizens' trust in e-government and promote their adoptions of e-government services.Originality/value:Previous researches have investigated separately the impacts of user evaluation of government websites and user trust in e-government on user intentions to engage in e-government.This study makes a theoretical contribution by integrating these two perspectives and building a model of citizen trust in e-government in understanding the impacts of trust-related factors on citizens' adoptions of e-government initiatives.

基于E-Learning随机场学习的信任节点定位算法

提出一种基于E-Learning随机场学习的信任节点定位算法,采用SVM监督学习辅助策略降低新标记样例中可能的误标记样例数以减少新训练集的噪声,设计富信息策略训练学习器,基于KKT原理,把训练ELM的过程等同于解决下面的对偶优化问题。通过E-Learning随机场学习,充分利用算法对噪声具有鲁棒性,实现对了个性化推荐网络信任节点的定位算法改进。仿真结果表明,该算法能准确定位到个性化推荐网络的信任节点,为P2P商家推荐和信任评估提供数据基础,信任节点定位的准确性优越于传统算法。算法采用E-Learning随机场学习,学习过程中不需要调整大量参数,所以算法学习速度快,尤其适合处理大规模的不平衡数据集分类问题,提高了个性化推荐网络信任节点的定位准确性。

E-business信任关系网建模

通过引入属性相似度的概念,提出了一种可用于解决E-business中的可信传播和信任值预测且无需第三方认证实体存在的属性匹配模型,给出了一种计算属性相似度的推荐方法,设计了一种可使用户之间的信任度随着交易的进行而不断更新的模拟Epinions交易方案(亦称为优先购买机制)。实验结果表明,通过建立对有限的邻节点的信任度,可以较准确地预测出每个节点对网络中任意陌生节点的信任度。

Perceived Trust and Payment Methods: An Empirical Study of MarkaVIP Company

This empirical study focused on investigating the perceived trust surrogated by a number of hy-pothesized factors and its effect on the choice of method of payment. The data were collected using a questionnaire, as the instrument for the primary data collection, with total collected back responses of 214 from customers of MarkaVIP. Structural equation modeling technique was used to fully analyze the data in order to determine what level of the relationship between the constituting factors of the perceived trust and the method of payment. The main findings were related to confirming the seven main hypotheses of the research that were related to testing if some factors were important to forming perceived trust by customers. Four factors (reputation, security, familiarity, and ease of use) were found to have a positive effect and the remaining three were not (privacy, size and usefulness). In addition, having perceived trust meant no preference to any method of payment by the customers.

基于“TRUST模型”的智能科教编程机器人短视频营销策略探究--以抖音平台为例

随着移动网络技术的更新,人们获取信息的方式从图文变成了视频,随之视频电商逐渐成为一种新的营销模式,所以企业要抓住这个历史机遇,在抖音等短视频平台进行"TRUST模型"即精众营销,通过打造"垂直"IP,聚焦精准目标人群—建立用户信任关系—形态创新升级—分享激发社交化—转化放大流量价值5个步骤进行品牌宣传和产品营销,用最精确、最经济的方式把产品卖给最需要的目标消费者。

基于SEM-ANN的数字人民币使用意愿影响因素研究

数字人民币是重塑我国支付新格局、加速数字经济进程的重要载体,但在用户推广方面仍存在诸多阻力,从用户的视角探究数字人民币使用意愿的影响因素具有重要的意义。本文以数字人民币为研究对象,在UTAUT2模型的基础上结合数字人民币的特点,构建数字人民币使用意愿理论模型;进而,以数字人民币首批试点城市的用户数据为样本,综合运用PLS-SEM和SEM-ANN方法实证分析数字人民币使用意愿的影响因素。结果表明,基于SEM的数字人民币使用意愿模型具有较好的解释和预测能力;信任、习惯、价格价值和社会影响对数字人民币使用意愿具有显著正向影响,而绩效期望、努力期望和创新意识对数字人民币使用意愿的影响不显著;此外,在作为调节变量的个人特征方面,价格价值与数字人民币使用意愿的关系受性别因素的调节;经验对价格价值、习惯、社会影响、信任与用户使用意愿的关系均具有调节作用;将结构方程模型与人工神经网络相结合能够提升模型的预测精度,并且影响因素的重要性有所改变,习惯最为重要、信任次之,其次为社会影响和价格价值。

Assessing Factors Affecting the Adoption of E-Government Services in Developing Countries for Transport Sector, amidst the Covid-19 Pandemic

The study was looking at establishing factors that are affecting the adoption of electronic government services in the Developing Countries for Transport sector amidst the Covid-19 pandemic based on the Unified Theory of Acceptance and Use of Technology Model (UTAUT). The study first looked at the major challenges faced by the Zambian transport sector in the implementation of e-government services among the citizens. The study then proposed a model through a web-based e-commerce web portal that could be adopted to address the challenges identified in the study. The study was based on all registered motor vehicles. These were from the various transport sectors in Zambia’s capital city, Lusaka. Both qualitative and quantitative data was collected from respondents using a structured questionnaire. The questionnaire was generated based on the UTAUT conceptual model. The response rate was 57% giving 141 questionnaire responses from the four transport providers. The Chi-Square test of independence was used to analyze the data using SPSS software. The results showed that interaction between trust in government and trust in the Internet has a significant effect on the utilisation of e-government services. The test had an observed P-Value of 0.05 against the Chi-Square value of 59.535. The results further showed that e-services control and effort expectancy had a significant impact on the actual utilisation of e-government services.

电子政务背景下政府透明度与社会公平感对公众政府信任水平的影响

公众对政府的信任水平已经成为衡量政府治理能力的重要指标之一,而电子政务则被当作扭转政府信任危机的一种解决方案被提出,因此,辨析中国情境中电子政务对政府信任的影响并探寻背后的作用机制就显得尤为重要。本文着重研究了电子政务对政府信任影响过程中政府透明度感知的中介作用及社会公平感的调节作用机制。通过对2629份问卷调查数据的分析发现,电子政务的使用和推广可以有效提升社会公众的政府透明度感知水平,而政府透明度感知对公众的政府信任水平提升有着积极的作用;电子政务对政府信任的正向形塑效应正逐渐显现;电子政务对政府信任的提升作用部分归因于政府透明度感知的增加;就政府透明度感知对政府信任的促进作用而言,公众的社会公平感具有放大效应。

乡村振兴背景下农产品跨境电商发展对策

基于国家乡村振兴战略的政策背景,阐述了农产品跨境电商在促进农村经济发展中的重要作用。分析了农产品跨境电商在全球化背景下的发展现状及面临的主要问题。提出了乡村振兴背景下农产品跨境电商发展的对策建议:加快农业标准化建设,提升农产品质量;优化农产品供应链与物流体系;坚持特色化与品牌化并重发展;利用数字技术拓宽农产品推广渠道,建立综合规范系统等。

电商环境下特色农产品原产地形象对品牌信任的影响——基于价值感知的中介效应

文章基于342份农产品消费调研数据,通过构建“原产地形象—价值感知—品牌信任”理论分析框架,运用中介效应模型,实证分析了特色农产品原产地形象对消费者品牌信任的作用机制,并进一步揭示了消费者价值感知在两者之间的中介作用。研究发现,维护良好的原产地形象对提高消费者品牌信任具有显著的正向促进作用,消费者价值感知在原产地形象对品牌信任影响中存在显著的中介效应。因此,政府产业政策部门和农产品企业可以通过调整农产品产业规模、做好差异化溯源来提升消费者价值感知。同时,政府实施保护自然环境政策、宣传当地优秀文化、加大农产品市场监管力度有利于塑造良好的原产地形象,能够有效提升消费者对特色农产品品牌的信任。

直播电商何以助推地理标志农产品消费溢价?——以安徽霍山黄芽为例

消费绿色转型与电子商务的迅速发展为地理标志农产品营销增添了新的渠道,成为提升农业高质量发展的有力抓手。作为传统电子商务的重构与升级,直播电商通过强交互性、强视听冲击的商品展示功能可以直观呈现地理标志农产品的声誉和品牌价值,有利于提高消费者的溢价支出。基于SOR理论,运用淘宝网2023年霍山黄芽新茶8773个实际交易数据,探究直播电商营销模式如何提高地理标志农产品的消费溢价及其产生机理。研究发现:在地理标志农产品电子商务市场中,与没有视频直播的卖家相比,直播电商可以显著正向影响消费者的溢价支付;农产品品级、包装、卖家服务、物流服务均能显著正向影响消费者对地理标志农产品的溢价支付,而产品描述真实性、好评数、差评数则负向影响消费者的溢价支付;直播电商显著正向调节一级农产品、礼盒包装农产品、产品描述真实性与消费溢价支付的关系。为提高农户和电商卖家的经济收益,加强直播电商对地理标志农产品的宣传和营销,同时重视对直播平台内、外部的监督,对实现农业高质量发展和农民共同富裕具有重要理论和现实意义。

区块链技术在电商物流安全及信任机制中的应用探索

为了解决互联网和电子商务快速发展带来的电商物流行业面临的越来越多的安全与信任问题,本文探讨了区块链技术在电商物流安全及信任机制中的应用,通过提高数据安全性、增强供应链透明度与创新业务模式等方式,有助于区块链技术构建一个更加安全、透明和高效的电商物流体系。

基于ELM模型的直播临场感与购买意愿关系研究

基于临场感视角,依据ELM理论,探讨电商直播间临场感对观众信任及购买意愿的影响。利用Smart PLS3.0和SPSS26.0对收集到的457份有效问卷进行实证分析,研究发现:产品临场维度的感知产品质量、品牌认知可使消费者信任产品;社会临场维度的亲切感、价值共性正向影响消费者信任主播;消费者信任主播正向影响其信任产品,但是主播-产品匹配度在这一过程中起负向调节作用;消费者信任产品与信任主播均可激发消费者的购买意愿。

基于电商直播平台的社会临场感、感知信任与购买意愿研究

近年来,网络直播迅速走红,已成为电商市场常态化的营销方式和销售渠道。本文以社会临场感为理论基础,以SOR为理论模型,对电商直播平台消费者购买意愿进行研究,分析社会临场感、感知信任以及消费者购买意愿之间的关系。通过调查问卷的方式收集数据,利用SPSS和AMOS等软件进行统计分析和假设检验。研究发现:(1)社会临场感的三个维度(意识临场感、情感临场感、认知临场感)都正向且显著影响消费者的感知信任;(2)社会临场感中只有意识临场感直接正向显著影响购买意愿,情感临场感和认知临场感对持续购买意愿没有直接影响,但可以通过感知信任这一中介变量产生联系;(3)感知信任在意识临场感、情感临场感、认知临场感对消费者购买意愿中发挥中介作用。本研究对电商直播营销相关领域的发展具有一定的实践指导意义。

电子商务下的信任网络构造与优化

电子商务环境中交易实体间的信任关系类似于传统商务环境中复杂的社会关系.实体间的信任度量涉及到交易额、交易发生时间、消费实体个人收入及其对信任的风险态度等因素,难以准确地给出量化计算.为探明这种信任关系的本质特点,结合现实生活中社会关系网络的一些认知理论和方法,详细分析和定义了实体及实体关系的相关属性,提出了一种信任网络描述的形式化模型.研究了信任网络的构造方法,建立了一套信任网络优化算法,有效地降低了信任网络的复杂性.最后,给出了一套信任网络可视化自动生成工具,通过实例应用分析表明,信任网络形式化描述模型和优化算法可以很好地揭示电子商务环境中复杂的信任关系,降低了信任度量算法的复杂度,可为信任的传播机制和信任计算模型的研究提供理论基础.

电商直播中消费者冲动性购买意愿的影响研究——基于感知风险中介作用与消费者信任调节作用

针对电商直播中消费者冲动购买愈发普遍的现象,探讨电商主播作为直播间信息源对消费者冲动性购买意愿的实质影响,文章从感知风险视角出发,构建电商主播特征与消费者冲动性购买意愿理论模型,并分析消费者信任在电商主播特征与感知风险之间的调节效应。结果表明:主播专业性、可信性和吸引力负向影响感知风险。感知风险在主播专业性、可信性和吸引力与消费者冲动性购买意愿之间具有中介作用,且消费者信任在主播专业性、可信性与感知风险之间具有正向调节作用。因此,电商直播平台应完善主播考核制度,优化服务内容质量,加强直播监督管理,以降低消费者感知风险,有效激发其购买欲望。

对B to C环境下影响消费者信任因素的实证研究

BtoC电子商务出现以来,在获得较大发展的同时也遇到了很多的问题,其中缺乏消费者信任就是主要问题之一。文章在问卷调查的基础上,分析了5个理论假设,建立了一个影响消费者网络信任的路径模型,通过统计分析寻找出了影响消费者网络信任的主要因素,提出了一些增强消费者网络信任度的措施。

加氢催化剂全生命周期绿色供应链技术的研发

中国石化石油化工科学研究院开发的加氢催化剂满足了全加氢炼油企业的需求,同时基于国家需求和行业环保法规要求,提出了加氢催化剂全生命周期绿色供应链理念并进行技术开发,包括载体材料和加氢催化剂绿色生产、器外真硫化、器外再生和废催化剂梯级利用等技术。载体材料和催化剂绿色生产及催化剂器外再生技术已经工业化多年,加氢催化剂器外真硫化技术于2018年进行了首次工业化应用,废渣油加氢催化剂再生、废馏分油加氢催化剂的梯级利用实验室研发取得较大进展。加氢催化剂全生命周期绿色供应链技术不仅能保证加氢催化剂工业应用过程中生产出绿色环保和高价值的产品,同时可保证催化剂生产和炼油厂装置开停工等过程都使用或未来能使用绿色环保技术,因此可全面助力资源的高效环保利用和促进整个炼油行业的绿色健康发展和可持续发展。