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.

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.

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.

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.

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.

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.

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.

An Investigation on Telecommunication Staff＇s Acceptance of E-Learning Technology

As the information on telecommunication products updates rapidly, using E-learning in staff training becomes an edge for company operation. However, previous studies showed that staff＇s attitude toward E-learning significantly affected the outcomes of training. The purpose of this study is to investigate the acceptance of E-learning in a telecommunication company. The researchers adopted the technology acceptance model （TAM） and diffusion of innovation theory to evaluate the perceived usefulness and perceived ease of use on E-learning, in addition to employees＇ self-directed learning motivation, attitude toward computers, and organizational influence. We randomly chose 571 employees of the telecommunication entrepreneur at the Taichung office in Taiwan to participate in this survey. The result showed that employees＇ background factors such as age, job position, marital status, education level and the scale of job unit had the significant impact on behavioral intention to use E-learning. Employees＇ self-directed learning, attitude toward computers, and organizational influence respectively also had positive effects on perceived usefulness of E-learning and perceived ease of use of E-learning. Furthermore, employees＇ perceived usefulness of E-learning and perceived ease of use of E-learning also had a positive effect on behavioral intention to use E-learning systems.

Understanding Technology Acceptance and Use in Social Media Platforms:A Systematic Literature Review and the Development of Research Framework

The Systematic Literature Review(SLR)presented in the document focuses on the acceptance of social media(SM)platforms,particularly through the lens of the Unified Theory of Acceptance and Use of Technology(UTAUT),Technology Acceptance Model(TAM),Theory of Planned Behavior(TPB)and other relevant theories.The review involves a comprehensive analysis of the most used theories of acceptance models,the methods for selecting studies,and the results and findings from the reviewed studies.The study also discusses the accomplishment of research goals and creates a research framework to guide future research.The geographic scope of the studies is also examined,providing insights into the distribution of studies across different countries.The review adheres to the PRISMA(Preferred Reporting Items for Systematic Reviews and meta-Analyses)guidelines for reporting systematic reviews and employs a theory-based approach,categorizing selected articles based on their theoretical foundations.The review’s methodology involves the use of empirical evidence that meets predetermined inclusion criteria and addresses specific research questions.The document provides a detailed account of the steps involved in the systematic review,including the identification,screening,eligibility determination,and selection of studies.The review also offers implications for theory and practice,addresses limitations,and suggests areas for future research.

The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq

The popularity of self-service technologies,particularly in the banking industry,more precisely with electronic banking channel services,has undergone a major change as individuals’lifestyles develop.This change has affected individuals’decisions about accepting any new Information Technology,and Information Communications Technology services that are electronically mediated,for example,E-Banking channel services.This study investigates the effect of Individual Factors on User Behaviour,and the moderating role of Trust in the relationship between Individual Factors,and User Behaviour based on the Unified Theory of Acceptance and Use of Technology.This research proposes a model,with a second-order components research framework.It improves current explanations of the acceptance of electronic banking channel services.Furthermore,this study highlights the role of trust on the acceptance of electronic banking channel services,which is the most crucial consideration in customers’decisions to accept electronic banking channels services.Thus,trust is the spine of the system in the Kurdistan Region of Iraq.Data were collected using an online questionnaire that received 476 valid responses from academic staff who work at the University of Sulaimani.The model tested data using the Partial Least Squares-Structural Equation Modelling approach.The results show that Individual Factors have a positive effect on User Behaviour.Besides,results show that trust moderates the relationship between Individual Factors and User Behaviour.

Understanding factors affecting non-participants’interest in community-supported agriculture

Community-supported agriculture(CSA)has emerged as a viable solution for addressing the agricultural challenges faced by countries like Indonesia.This study uses the wellestablished unified theory of acceptance and use of technology(UTAUT2)model to examine the interest in CSA of potential customers in Indonesia.A standardized questionnaire was distributed to 1200 respondents,and the data were analyzed using structural equation model-partial least square(SEM-PLS)in SmartPLS 4.0 software.The results capture potential CSA consumer interest and will help to improve CSA development strategies in Indonesia.The model explains 44.4%of customers’intentions,and identifies performance expectancy as the decisive factor in customers’willingness to participate in CSA.Performance expectancy(0.292),hedonic motivation(0.262),social influence(0.259),and facilitating conditions(0.086)positively influence customers’interest in participating in a CSA program.The adoption of CSA programs by both farmers and customers could be increased by implementing regulations that provide tax incentives and subsidies,offering training on sustainable farming practices,facilitating the establishment of distribution channels,and establishing guidelines for fair price and quality standards.This study shows the high potential for the implementation of CSA in Indonesia.It could also be used as a foundation for the development of new policies regarding sustainable agriculture markets in Indonesia.

In-Service Teachers’Perceptions of Technology Integration in English as a Foreign Language Classrooms in China:A Multiple-Case Study

Purpose This study investigates university in-service English as a Foreign Language(EFL)teachers’perceptions of technology integration and the relevant factors that may affect their technology integration in the classroom.Design/Approach/Methods This multiple case study applies Teo's extended technology acceptance model(TAM)and the theory of teacher value beliefs associated with using technology to explore seven in-service EFL teachers’perceptions of effective technology integration and the challenges they encountered.Findings This study suggests that(1)perceived usefulness and(2)teacher value beliefs are two important factors that influence in-service teachers’technology integration.Additional factors are(3)subjective norm,(4)facilitating conditions of the environment,and(5)cultural values.Originality/Value This study contributes to the existing literature on in-service EFL teachers’technology integration and increases the applicability of the extended TAM in China.This study also provides insights into these teachers’perceptions and practices of technology integration.Finally,insights gleaned from this study will guide school-level,local,and national educational policy groups on optimally supporting in-service teachers’future technology integration.

Behavioral Intention to Continue Using a Library Mobile App

To meet the needs of today’s library users,institutions are developing library mobile apps(LMAs),as their libraries are increasingly intelligent and rely on deep learning.This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA.A research model was constructed based on the technology acceptance model.A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data.The analysis was based on structural equation modeling.The empirical results show that the perceived ease of use,the perceived usefulness,the social influence,and the facilitating conditions affected the users’behavioral intention,but their impacts were different at different times.As the usage time increases,the technology acceptance model is still universal for understanding the user perception of LMA.In addition,two extended variables(social impact and convenience)also affect the user’s behavior intention.User behavior is dynamic and changed over time.This study is important both theoretically and practically,as the results could be used to improve the service quality of LMAs and reduce the loss rate of users.Its findings may help the designers and developers of LMAs to optimize them from the perspective of a user and improve the service experience by providing a deeper understanding of the adoption behavior of information systems by LMA users.

A Study on consumers＇ continuing to use online group-buying platforms： The impact of price performance expectations

In this study, we aim to understand the characteristics of online group-buying consumers and to investigate salient factors which influence the continuance intention of online group-buying platforms （OGBP） to bridge this knowledge gap. An expectation-confirmation model of information systems （IS） continuance is adapted to construct a research model in online group-buying contexts. A total of 289 complete and valid responses were collected. Our findings contribute to academics and practitioners in two ways： Firstly, our respondents show that they are young （93% of the respondents＇ ages range between 19 and 28 years old）, female （88% of the respondents）, and thrifty （82% of the respondents＇ transaction amounts are below US$16）. Secondly, based on our results, price performance expectations have a direct impact on confirmation. In addition, in contrast to the IS continuance model （Bhattacherjee, 2001）, the effect of perceived usefulness on satisfaction is not supported. Thus, in online group-buying settings, confirmation is the key antecedent of satisfaction. Satisfaction and perceived usefulness are significantly associated with OGBP continuance intention. Consequently, in addition to offering a wide assortment of merchandise and a convenient online shopping experience to enhance customers＇ perceived usefulness of OGBP, OGBP managers should aim low-price marketing strategies at this female, young, thrifty and price-sensitive segment to transcend consumers＇ price expectations and attract consumers＇ continued intention to visit OGBP.

Consumer Attitudes Towards Private Shopping Sites in Turkey

Private shopping sites （PSSs） business model is developing rapidly both in the world and in Turkey since 2000s. However, studies related consumer attitudes towards private shopping sites in Turkey are limited in the literature. So, the main aim of this paper is revealing variables that affect attitudes of PSSs customers in Turkey and conceptualizing these variables within the scope of a model that depends on Technology Acceptance Model （TAM） In this descriptive study, research population includes all of the consumers who made at least one shopping from PSSs in Turkey and ＂snowball sampling method＂ is used. In consequence of an online survey application 409 questionnaires are analyzed. As a result of regression analysis, all of the 14 hypotheses are accepted. In conclusion all of the variables in the model （product quality, delivery service, system quality, information quality, service quality, perceived usefulness, perceived ease of use, compatibility, privacy, and security） have significant relations with consumer attitudes. The most important variables in building positive attitudes towards PSSs are perceived usefulness and compatibility. Conversely the lowest variance prediction percentage belongs to privacy variable.

Cloud Computing Perceived Importance in the Middle Eastern Firms: The Cases of Jordan, Saudi Arabia and United Arab Emirates from the Operational Level

Firms need cloud computing adoption for strategic and competitive goals, generating business value, and at last gaining competitive advantage. This study reviews the literature regarding cloud computing and IT governance, and presents a research model along with its hypotheses formulation to examine the factors impacting cloud computing perceived importance in several Arab firms, specifically Jordan, Saudi Arabia and United Arab Emirates by using the integration of Technology Acceptance Model (TAM) model and Technology-Organizational-Environmental (TOE) framework as adapted from [1]. 329 returned surveys from top, middle-level IT managers, and IT employees from the operational level of the studied firms were analyzed using the structural equation modeling technique. The study found relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for impacting cloud computing adoption using perceived ease of use and perceived usefulness as mediating variables. The model explained 61%, 63%, and 74% of cloud computing adoption for perceived usefulness, perceived ease of use and perceived importance respectively.

Technology acceptance comparison between on-road dynamic message sign and on-board human machine interface for connected vehicle-based variable speed limit in fog area

Purpose–Connected vehicle-based variable speed limit(CV-VSL)systems in fog area use multi-source detection data to indicate drivers to make uniform change in speed when low visibility conditions suddenly occur.The purpose of the speed limit is to make the driver’s driving behavior more consistent,so as to improve traffic safety and relieve traffic congestion.The on-road dynamic message sign(DMS)and on-board human–machine interface(HMI)are two types of warning technologies for CV-VSL systems.This study aims to analyze drivers’acceptance of the two types of warning technologies in fog area and its influencing factors.Design/methodology/approach–This study developed DMS and on-board HMI for the CV-VSL system in fog area on a driving simulator.The DMS and on-board HMI provided the driver with weather and speed limit information.In all,38 participants participated in the experiment and completed questionnaires on drivers’basic information,perceived usefulness and ease of use of the CV-VSL systems.Technology acceptance model(TAM)was developed to evaluate the drivers’acceptance of CV-VSL systems.A variance analysis method was used to study the influencing factors of drivers’acceptance including drivers’characteristics,technology types and fog density.Findings–The results showed that drivers’acceptance of on-road DMS was significantly higher than that of on-board HMI.The fog density had no significant effect on drivers’acceptance of on-road DMS or on-board HMI.Drivers’gender,age,driving year and driving personality were associated with the acceptance of the two CV-VSL technologies differently.This study is beneficial to the functional improvement of on-road DMS,on-board HMI and their market prospects.Originality/value–Previous studies have been conducted to evaluate the effectiveness of CV-VSL systems.However,there were rare studies focused on the drivers’attitude toward using which was also called as acceptance of the CV-VSL systems.Therefore,this research calculated the drivers’acceptance of two normally used CV-VSL systems including on-road DMS and on-board HMI using TAM.Furthermore,variance analysis was conducted to explore whether the factors such as drivers’characteristics(gender,age,driving year and driving personality),technology types and fog density affected the drivers’acceptance of the CV-VSL systems.

Factors influencing online information acquisition: The case of Chinese college students

Purpose： This study intends to examine the factors that influence Chinese college students＇ use of the lnternet for acquiring information. Design/methodology/approach： This paper developed the research model by using the technology acceptance model （TAM） and information system success model as the theoretical foundation. The proposed model was empirically tested with the structural equation modeling technique based on data collected from a survey of 357 college students. Findings： The results show that 1） perceived ease of use, perceived usefulness and perceived playfulness all have a positive impact on the intention to use the Internet for acquiring information, 2） use context and system quality significantly influence perceived usefulness and perceived ease of use, and 3） service quality has a positive impact on perceived ease of use but not on perceived usefulness. Likewise information quality has no positive effect on perceived usefulness. Research limitations： The survey respondents were mainly from college students in Nanjing. We need to recruit college students in the western or other developing areas in China to further validate our findings. Practical implications： This study puts forward some feasible suggestions for university libraries to improve information organization and the use of digital library resources to better meet the needs of library users. Originality/value： This study provides insights into the understanding of the factors affecting college students＇ online information acquisition from multiple perspectives.

Factors affecting electric vehicle acceptance,energy demand and CO_(2)emissions in Pakistan

This work aims to investigate the factors accelerating electric vehicle(EV)acceptance at the consumer end in Pakistan and analyzes the implications for policymakers for a fast-track EV transition.The study further in-vestigates the high EV penetration scenario resulting from the technology acceptance model(TAM's 80%EV)and its impact on energy demand and CO_(2)emissions.The study design used a quantitative analysis method with the survey as an instrument for data collection regarding EV acceptance.The model under investigation was adapted from the famous Technology-Acceptance Models(TAMs)and modified with other significant predictors evidenced in the literature.Correlation and stepwise regression were performed with a multicollinearity check for model hypothesis testing.Out of six predictors,only four factors were significant in accelerating the EV transition.Financial policies were found to be highly significant,followed by environmental concern,facilitating conditions and perceived ease of use.The research then used exponential smoothing forecasts for transport demand and developed an EV penetration scenario based on modified TAM results.The results highlight the significant in-crease in transport demand and the opportunity for Pakistan to limit passenger transport emissions to 36.6 MT instead of 61.6 MT by 2040.

Farmers＇ Perceived Impact of Fair Trade： The Case of Costa Rica

The perceived usefulness of Fair Trade influences both its effectiveness and farmers＇ long-term participation. The aim of this paper is to measure the perceived economic, social and environmental impact of Fair Trade by farmers in Costa Rica. One hundred farmers were interviewed, and their perceived change in living and working conditions due to Fair Trade participation was measured through a t-test analysis. The sample characters＇ influence on the perceived change was also measured, adopting a regression model and a t-test. The results showed a positive perception of the impact of Fair Trade, with a particularly strong perceived improvement in the farmers＇ technical, economic and managerial skills. There was relatively less perceived change in the environmental, educational and sanitary conditions. The results showed the need for Fair Trade to better adjust its strategy to the expectations of the farmers＇ communities.