Innovation and Evaluation of Technology Acceptance Model (Tam) in S-Commerce: A Case of Social Media Platforms in Ghana

Electronic commerce is quickly increasing in several countries, most notably in developing countries. A new electronic-commerce segment known as social commerce has evolved due to the popularity of social media. Consumer trust is important to social commerce success and impacts purchase choices. In modern times, majority of businesses have changed how from the traditional businesses and migrated to social commerce. Electronic commerce was the first of its sort, followed by social commerce, which conducted business via social networking platforms. Identifying the factors that influence social commerce use enables businesses to enhance those features and boost revenue. Thus, the purpose of this study was to examine how increased technology usage influences the social commerce activities of Ghanaian businessmen and women. A review of the literature resulted in the development of a conceptual model. Six hundred and twenty-five responses from Ghanaian enterprises and women who use e-commerce platforms were used to assess the conceptual approach. Partial Least Square Structural Equation Modeling (PLS SEM) was used to validate the model. The reliability and validity of the measuring apparatus were determined using measurement model analysis. To examine the model’s fit and assumptions, we used structural model analysis. Five hypotheses were supported by the structural model data. Effort Expectancy, Perceived Ease of Use, Performance Expectancy, Perceived Utility, and Trust were shown to be the most influential criteria affecting behavioral intention to use s-commerce in Ghana. The findings of this research have major significance for academics and practitioners of social trade.

基于TAM-CPV模型的共享电单车持续使用意愿分析

深入剖析共享电单车的使用因素,增强共享电单车用户持续使用意愿对促进共享电单车健康有序发展、提升投放管理精细化水平至关重要。以技术接受模型(technology acceptance model,TAM)为基础,引入感知价值理论(customer perceived value,CPV)中的感知愉悦性、感知风险,并引入感知成本因素;构建基于TAM-CPV模型的共享电单车持续使用意愿模型;以重庆市共享电单车运营的监管数据、现场调查数据和网络调查数据为基础,综合运用SPSS、AMOS软件对结构方程模型开展检验及分析。研究结果表明:感知易用性是影响持续使用意愿的最显著正向因素,感知愉悦性次之,感知成本是唯一负向影响因素;这预示着政府管理部门应当注重共享电单车投放点的合理性,企业应当注重共享电单车APP的使用体验、计费规则。

我国中小城市电动两轮车骑行者戴盔意向研究——基于TPB和TAM整合模型

【目的】探究影响我国中小城市电动两轮车骑行者戴盔意向的心理因素,以更好地提升头盔佩戴率。【方法】从骑行者角度出发,结合计划行为理论(theory of planned behavior,TPB)和技术接受模型(technology acceptance model,TAM),构建了电动两轮车骑行者戴盔意向模型,通过结构方程模型(structural equation model,SEM)探究了骑行者心理潜变量对戴盔骑行意向的影响效果。【结果】与以传统的TPB为框架的模型相比,基于TPB和TAM整合的模型在拟合适配度方面表现更优。其中态度(0.411)、知觉行为控制(0.305)两个潜变量对骑行者戴盔意向的作用效果最为显著,骑行者的年龄对戴盔意向模型具有调节作用。【结论】研究结果可以为当地政府制定相关政策提供理论参考依据,并为其他学者后续针对戴盔骑行行为的研究提供思路。

Perspectives and Experiences of Education Stakeholders: A Quantitative Study on the Adoption of Artificial Intelligence in Executive Training Using Structural Equation Modeling

The recent increase in the use of artificial intelligence has led to fundamental changes in the development of training and teaching methods for executive education. However, the success of artificial intelligence in regional centers for teaching and training professions will depend on the acceptance of this technology by young executive trainees. This article discusses the potential benefits of adopting AI in executive training institutions in Morocco, specifically focusing on CRMEF Casablanca Settat. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al., 2003), this study proposes a model to identify the factors influencing the acceptance of artificial intelligence in regional centers for teaching professions and training in Morocco. To achieve this, a structural equation modeling approach was used to quantitatively describe the impact of each factor on AI adoption, utilizing data collected from 173 young executive trainees. The results indicate that perceived ease of use, perceived usefulness, trainer influence, and personal innovativeness influence the intention to use artificial intelligence. Our research provides managers of CRMEFs with a set of practical recommendations to enhance the implementation conditions of an artificial intelligence system. It aims to understand which factors should be considered in designing an artificial intelligence system within regional centers for teaching professions and training (CRMEFs).

Using the Technology Acceptance Model to Analyze the Learning Outcome of Open Education Resources

Along with the development of information and communications technology,open educational resources were widely applied in training usage.The use of these resources facilitates the access to knowledge by enabling learners to transcend time and space.In this way,learners are able to obtain new knowledge more actively and efficiently than before.Using Technology Acceptance Model(TAM)as the theoretical foundation,this study aims to explore the learning outcome of using open educational resources with the perceived convenience as the external variable.In this study,the open educational resources were defined as online courses on the Open Course Ware(OCW)and Massive Open Online Courses(MOOCs),on which the learners choose courses themselves and study without the impact from people,matters,time,space,and things with the help of the Internet.To achieve the objectives of the study,the researchers conducted a survey with the participants who had already used the open educational resources.In total,124 valid samples were collected.The Partial Least Squares(PLS)statistical method was used to carry out the analysis.Overall,the model of this study has good prediction and explanatory power.After the data analysis,the study found that the perceived convenience exerts a positive impact on the use of the open educational resources.In addition,among the four TAM variables,the perceived usefulness does not exert a significant impact on the behavioral intention to use,but the other three TAM variables all have a significant impact on the behavioral intention.

TAM-TOE整合视角下建设行业人工智能技术采纳行为研究

随着建设行业的数字化转型,融合传统工程建设与人工智能技术已成为迫切需求。本研究以技术接受模型和技术-组织-环境框架为理论基础,运用结构方程模型分析了建设行业中人工智能技术采纳行为的影响因素。结果表明,在技术层面,人工智能技术的特性显著影响用户的感知易用性和有用性,进而直接影响采纳行为;而技术复杂性虽对感知有用性影响不显著,但明显增加了感知易用性的难度。在环境方面,外部环境对感知有用性有显著正向影响,但对感知易用性影响较弱,同时也直接影响采纳行为。组织层面上,针对人工智能技术的充分准备能显著提升员工的感知易用性、感知有用性并促进采纳行为,而领导层的支持则主要增强员工的感知易用性,进而推动其采纳行为。这表明,工程建设企业在推动人工智能技术应用时,应综合考虑技术、组织和环境三方面的关键因素,以制定更有效的战略。

虚拟旅游对旅游者实地旅游意愿的影响研究——基于S-O-R理论框架的ISSM-TAM整合模型实证分析

以虚拟旅游者为研究对象,基于S-O-R理论(刺激—机体—反应理论)框架,结合信息系统成功模型和技术接受度模型,构建虚拟旅游对实地旅游意愿影响的整合模型。研究表明,虚拟旅游的系统质量、信息质量和服务质量正向影响旅游者的感知有用性、易用性和趣味性,进而影响实地旅游意愿;旅游者感知易用性正向影响感知有用性,但对感知趣味无显著影响。旅游目的地应完善系统功能,优化信息内容,创新服务方式,以提升游客感知,促进游客实地旅游意愿。

基于TPB和TAM整合扩展模型的景区预约行为意向研究

本研究以4处上海市4A级景区为案例地,整合计划行为理论、技术接受模型,围绕构念“担忧”构建游客景区预约行为意向整合扩展模型,使用偏最小二乘法结构方程模型(PLSSEM)进行模型检验。研究发现:主观规范、景区预约态度和知觉行为控制对景区预约行为意向有显著直接影响;感知易用性相较于感知有用性对知觉行为控制的影响更为显著;因疫情产生的担忧情绪通过主观规范和知觉行为控制间接影响景区预约行为意向。研究在理论上对传统模型进行整合拓展,从技术和管理角度为优化景区预约方式提供理论依据与实践建议。

Location Based Services Acceptance and Adoption Evaluation: An Investigation on Mobile Phone Users’ Response to Awareness and Utilization of LBS Technology in Nairobi Kenya

Location Based Navigation System (LBNS) is a specific Location Based Service (LBS) purely for navigational purpose. These systems resolve position of a user by using GNSS/GPS positioning technologies, to which supplementary information on goods and services are tagged. The navigation services have become popular and can be installed on mobile phones to provide route information, location of points of interest and user’s current location. LBS has continued to face challenges which include “communication” process towards user reference. Location Based Service System conveys suitable information through a mobile device for effective decision making and reaction within a given time span. This research was geared at understanding the state of LBS technology acceptance and adoption by users in Nairobi Kenya. To do this a quantitative study was carried out through a questionnaire, to investigate mobile phone users’ response on awareness and use of LBS technology. Testing the growth of this technology in this region compared to predictions in previous studies using Technology Acceptance Model (TAM), it is evident that many users may be aware of GPS functionality in mobile phones but are certainly yet to fully embrace the technology as they rarely use it. This points to some underlying challenges towards this technology within this part of the World, thereby recommending for deliberate monitoring and evaluation of LBS technology for sustenance growth based on user satisfaction and acceptance for improved usability.

基于扩展TAM-TPB整合模型的患者基层首诊意愿影响因素研究

目的/意义基于扩展TAM-TPB整合模型,研究影响患者参与基层首诊意愿的主要因素。方法/过程采用结构方程模型探析患者选择基层首诊决策过程中的影响因素及其内在作用机制。结果/结论患者主观规范、行为态度、知觉行为控制显著正向影响其参与基层首诊意愿,感知易用性和感知有用性显著正向影响行为态度和知觉行为控制,感知易用性显著正向影响感知有用性。患者对基层首诊认知存在盲区,自我效能感较弱,应不断加强对基层首诊相关政策法规的系统宣传,简化基层首诊的流程与步骤,引导居民树立科学理性的就医观念,从而增强患者基层首诊参与意愿。

Blog acceptance model: An empirical study on exploring users' acceptance and continual usage of blogs

Blogs have permeated into our daily lives at a fast speed, and various kinds of blog spaces have attracted our attention. However, little effort has been made on studying the users' motivation to participate in blog activities. This paper aims to construct a theoretical model about the blog adoption based on technology acceptance model(TAM theory), social capital theory and social exchange theory, and put forward 18 related hypotheses. Then the survey method is adopted to analyze the data from 208 questionnaires using the SPSS and LISREL tools, and to examine the theoretical model and hypotheses. Finally, the paper makes a discussion from five aspects due to the results of data analysis, including individual driving factors, group driving factors, community driving factors, technology acceptance factors and moderating variables. The results show that curiosity/enjoyment, user's experience, social interaction and social identification will greatly affect users' motivation to accept a blog; meanwhile, perceived ease of use, exchange cost and trust will partially influence users' intention to participate in blog activities. The results also suggest that age and education degrees have significant moderating effects on users' acceptance and updating of blogs.

文化遗产数字化对国民遗产责任的影响研究——基于TTF和TAM的模型构建

数字化转型是文化遗产地在新时代兼顾高质量旅游体验创造和文化遗产保护与传承的重要选择。文章以“数字故宫”为研究案例,整合任务-技术匹配模型(TTF)和技术接受模型(TAM),引入文化遗产责任量表,采用偏最小二乘结构方程模型(PLS-SEM),探索用户对数字博物馆的使用意愿和使用行为的多重影响因素,揭示了数字博物馆用户使用意愿和使用行为对国民遗产责任的作用。研究发现:第一,数字博物馆的任务特征和技术特征能够正向影响数字博物馆的任务-技术匹配度,数字博物馆的任务-技术匹配度正向影响用户对数字博物馆的使用意愿;第二,数字博物馆用户的感知有用性和感知趣味性正向影响其使用意愿;第三,数字博物馆用户的使用意愿正向影响其使用行为;第四,数字博物馆用户的使用意愿和使用行为正向影响其遗产责任。文章从使用者出发分析了文化遗产地的数字化转型现象,理论上建构和拓展了数字博物馆的用户使用意愿和使用行为模型,验证了使用意愿和使用行为对遗产责任的影响;实践上为遗产旅游地的数字技术建设优化提供对策建议,为基于数字化手段的国民遗产责任提升提供学术参照。

基于TAM的高速公路建设管理一体化平台接受度研究

高速公路建设管理一体化水平直接关系项目建设质量、进度和管理效率,一体化平台建设备受关注。为解决现有研究缺少对高速公路建设管理一体化平台接受度和影响因素进行分析的问题,以技术接受度模型为理论基础,引入感知信任、感知风险、环境条件等变量。通过建立高速公路建设管理一体化平台接受度概念模型,运用结构方程模型对影响因素之间的关系进行验证。以湖南省数据为例,对假设模型进行验证分析。研究结果表明:项目管理人员对高速公路建设管理一体化平台的感知有用性、感知易用性、感知信任、感知风险和环境条件显著正向影响其对于平台的接受意愿。影响程度由高到低排序依次为:感知风险、感知有用性、感知易用性、环境条件及感知信任。研究结果有助于提高信息化管理水平,进而为总公司、项目公司的重大决策提供辅助支持。

基于TAME-EDKT模型的适老化家电产品设计评价

目的 为解决适老化家电产品设计评价过程中指标集确定的非适老性、指标间相互作用关系的干扰性和权重值确定过程中忽略用户需求的片面性等问题,基于老年技术接受模型,提出一种综合评价模型方法。方法 首先,基于老年技术接受模型确定设计方案评价指标;其次,基于熵权法确定评价指标的初始权重,运用DEMATEL法确定指标之间的相互作用权重,以KANO模型进行权重调整,确定最终的指标权重,并基于TOPSIS法进行方案排序优选;最后,运用该方法进行适老化吸尘器设计方案优选,并进行对比验证。结论 该方法可有效确定适老化家电产品设计评价指标集的适老性,较好地考虑了指标间的相互作用关系及用户需求对指标权重的影响,并进一步完善适老化家电产品设计领域的理论研究。

患者医疗数据共享意愿影响因素——结合改进计划行为理论(TPB)与技术接受模型(TAM)的分析

国内外关于医疗数据共享意愿的研究中,涉及社会环境因素与医疗数据共享意愿关系的研究较少。为厘清患者医疗数据共享意愿的影响因素,进一步激活医疗健康数据价值释放,基于对医疗数据性质和有关文献分析,以计划行为理论(TPB)和技术接受模型(TAM)为理论基础,经过探索性研究后引入患者的感知成本和感知风险等因素,构建包含技术(T)、社会(S)、个人(I)3个维度的患者医疗数据共享意愿TSI模型,并通过问卷调查和结构方程模型对研究模型和假设进行实证检验。结果表明:感知行为控制是患者医疗数据共享意愿的直接影响因素,共享态度是患者医疗数据共享意愿的间接影响因素;主观规范和感知成本通过共享态度间接影响患者医疗数据共享意愿;感知风险和感知有用性不仅直接影响患者医疗数据共享意愿,还能通过共享态度间接影响患者医疗数据共享意愿。在此基础上,提出在组织层面提高医疗数据共享透明度、加强对患者隐私的立法保护,以及强化患者对数据共享感知有用性的认识,以促进医疗数据资源的深入整合。

Research of Home Information Technology Adoption Model

The Information Technology at Home has caught the attention of various industries such as IT,Home Appliances,Communication,and Real Estate.Based on the information technology acceptance theories and family consumption behaviors theories,this study summarized and analyzed four key belief variables i.e.Perceived Value,Perceived Risk,Perceived Cost and Perceived Ease of Use,which influence the acceptance of home information technology.The study also summaries three groups of external variables.They are social,industrial,and family influence factors.The social influence factors include Subjective Norm;the industry factors include the Unification of Home Information Technological Standards,the Perfection of Home Information Industry Value Chain,and the Competitiveness of Home Information Industry;and the family factors include Family Income,Family Life Cycle and Family Educational Level.The study discusses the relationship among these external variables and cognitive variables.The study provides Home Information Technology Acceptance Model based on the Technology Acceptance Model and the characteristics of home information technology consumption.

基于Logistic模型和TAM模型的数字人民币使用意愿影响因素分析

随着应用场景日渐丰富,数字人民币正加速融入百姓生活,其在转变人民币使用方式、助力消费和实体经济复苏等方面发挥了积极作用。作为法定货币,数字人民币具有节省、安全、普惠等特点,以数字经济为代表的科技创新催生了基础金融服务水平与效率,为构建发展新格局提供了有力支撑。通过利用Logistic工具和TAM模型分别从客户对于数字人民币的接受意愿和使用意愿来开展研究,对影响数字人民币使用意愿的影响因素进行分析,探索数字人民币的应用场景,以促进数字人民币健康发展。

生鲜电商平台消费者购菜意愿多元提升路径及适配组态研究

基于南昌市519份调查数据,运用技术接受模型3和期望确认理论模型,采用fsQCA方法对生鲜电商平台消费者购菜意愿进行组态分析,探讨消费者购菜意愿适配组态的要素构成条件及提升策略。结果表明:单一条件变量均不是生鲜电商平台消费者购菜意愿的必要条件,说明变量间可能存在替代作用;存在乐趣性与顾客认可型路径、适应性与情感导向型路径、体验感与顾客评价型路径、个性化与挑战导向型路径、影响力与便利导向型路径等5条产生高购菜意愿的路径;其中,高主观规范和高满意度作为核心条件存在于4条路径中,对生鲜电商平台消费者产生购菜意愿发挥着更普适的作用。基于此,建议整合多元路径,根据组态效应调整购菜意愿提升策略;确保产品质量,提升售后服务,重视满意度的普适性作用;建立良好口碑,发挥社交圈的积极作用,以实现平台发展的良性循环。