Applying the Technology Acceptance Model (TAM) in Information Technology System to Evaluate the Adoption of Decision Support System

With the beginning of the information systems’ spreading, people started thinking about using them for making business decisions. Computer technology solutions, such as the Decision Support System, make the decision-making process less complex and simpler for problem-solving. In order to make a high-quality business decision, managers need to have a great deal of appropriate information. Nonetheless, this complicates the process of making appropriate decisions. In a situation like that, the possibility of using DSS is quite logical. The aim of this paper is to find out the intended use of DSS for medium and large business organizations in USA by applying the Technology Acceptance Model (TAM). Different models were developed in order to understand and predict the use of information systems, but the information systems community mostly used TAM to ensure this issue. The purpose of the research model is to determine the elements of analysis that contribute to these results. The sample for the research consisted of the target group that was supposed to have completed an online questionnaire about the manager’s use of DSS in medium and large American companies. The information obtained from the questionnaires was analyzed through the SPSS statistical software. The research has indicated that, this is primarily used due to a significant level of Perceived usefulness and For the Perceived ease of use.

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.

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).

Modeling and gender difference analysis of acceptance of autonomous driving technology

In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology acceptance model and theory of planned behavior to comprehensively reveal the gender differences in the influence mechanisms of subjective and objective factors.The analysis is based on data collected from Chinese urban residents.Among objective factors,age has a significant negative impact on women's perceived behavior control and a significant positive impact on perceived ease of use.Education has a significant positive impact on men's perceived behavior control,and has a strong positive impact on women's perceived usefulness(PU).For men,income and education are found to have strong positive impacts on perceived behavior control.Among subjective factors,perceived ease of use(PEU)has the greatest influence on women's behavior intention,and it is the only influential factor for women's intention to use autonomous driving technology,with an influence coefficient of 0.72.The influencing path of men's intention to use autonomous driving technology is more complex.It is not only directly affected by the significant and positive joint effects of attitude and PU,but also indirectly affected by perceived behavior controls,subjective norms,and PEU.

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.

Private Club GMs＇/COOs＇ Perceptions in Adopting Social Media： Applying the Technology Acceptance Model

Social media have emerged as an important component of technology-mediated communications and many companies have been supporting the development of social networking sites as a part of brand communities （Kaplan ＆ Haenlein, 2010）. This study was undertaken to understand how private club general managers （GMs） and chief operating officers （COOs） perceive their ease of use, usefulness, and enjoyment of social media. Surveys were completed by attendees at the Club Managers Association of America Business Management Institute III （CMAA BMI III） executive development in Spring 2014 and Fall 2014. As one of a few empirical information technology （IT） studies in the context of the private club industry, the findings of this study are expected to provide baselines to academics and private club GMs/COOs in understanding the processes of social media technology adoption and acceptance in the private club industry.

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。

基于TAM扩展模型的共享单车持续使用意愿影响因素研究

基于TAM理论模型,本文引入服务质量、社会影响、感知风险对原有模型进行改进扩展,从用户感知视角出发,对共享单车用户持续使用意愿展开研究。通过构造结构方程模型来分析收集到的333个有效样本。最后,根据研究结果提出相应建议,助力共享单车行业的持续性发展。

基于TPB/TAM的养老服务金融参与意向影响因素实证研究——以济南市城市居民为例

基于计划行为理论和技术接受模型,对城市居民养老服务金融参与意向进行研究,构建养老服务金融参与意向的结构方程模型,揭示影响城市居民养老服务金融参与意向的关键因素及其机理;采用问卷调查法,搜集986份有效样本数据进行实证分析。结果表明,感知行为控制、主观规范、感知易用性和感知有用性正向影响城市居民参与养老服务金融的意向,感知风险负向影响济南市城市居民参与养老服务金融的意向,初始信任在用户感知易用性、感知有用性正向影响养老服务金融行为意向的关系中具有显著的中介效应。

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.

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。

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.

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。

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.

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。

Factors influencing the internet banking adoption decision in North Cyprus: an evidence from the partial least square approach of the structural equation modeling

Purpose:This paper aims to examine how the adoption decision of the internet banking in North Cyprus would be affected based on the following dimensions;the technology features,the personal characteristics,the social environment and the expected risk.Design/methodology/approach:A self-administered survey was conducted with 291 participants responded to it.The partial least square approach of the structural equation modeling(PLS-SEM)is employed to investigate the direct effects of the proposed factors on the adoption decision.Additionally,the mediation test is used to examine indirect effects.Findings:Results showed that even though the participants appreciated the benefits of the online banking as the perceived usefulness factor exerts the greatest direct effect,they would rather use clear and easy-to-use websites,adding to that their assessments of the usefulness of these services are significantly influenced by the surrounding people’s views and prior experience.This is demonstrated by the total effects of the perceived ease of use and the subjective norm factors,which are greater than the direct effect of the perceived usefulness factor since both of these factors have significant direct and indirect effects mediated by the perceived usefulness factor.The negative impact of the perceived risk factor is weak compared to the previous factors.While the personal innovativeness factor showed the weakest effect among the proposed factors.

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。

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.