Previous Technology Acceptance Model Research Articles

Collaborative Augmented Reality: A Proposed Technology Acceptance Model

A collaborative augmented reality (CAR) system allows multiple users to communicate with each other in a shared 3D environment. Technology Acceptance Model (TAM) is a well-known method for predicting user acceptance of new technology, it also has the two strongest dimensions of acceptance: perceived usefulness and perceived ease of use. However, it can be further developed with external dimensions to investigate acceptance more comprehensively for the CAR system, with its 3D characteristics and collaborative ability, requires additional dimensions for measurement. This study aims to analyze and identify a suitable external dimension to be incorporated in TAM for CAR. We acquired the previous using the Web of Science database, which included keywords such as 'augmented reality,' 'virtual reality,' and 'technology acceptance model.' We analyzed eighteen high quality papers from a pool of ninety-seven papers, including journals and conferences. Resultantly, thirty-two external dimensions have been identified from previous TAM studies. After thorough analysis, a foundation TAM for the CAR system is proposed, along with suggestions for external dimensions for different CAR domain applications. The developed TAM includes perceived enjoyment, aesthetic quality, system quality, social presence, satisfaction, information quality, interactivity, collaboration quality and embodiment quality in the CAR context. Other factors, such as social norms, mobility, and others, are applicable to different CAR domain applications. The identified acceptance factors will assist researchers in enhancing their collaborative experience and conducting further analysis in the field of CAR.

Exploring blockchain technology acceptance among non-managerial construction practitioners in Shenzhen, China

PurposeProblems such as information asymmetry and a lack of trust among construction practitioners damage the quality and progress of construction projects. The decentralization, transparency, traceability and temper-proof nature of blockchain technology (BCT) can provide solutions and facilitate multiparty cooperation. However, BCT acceptance in the construction industry is relatively low, and there are few pilot projects adopting BCT. Most relevant literature focuses on BCT acceptance at the industry and organizational levels, but the impact of non-managerial practitioners executing BCT or the traditional approach in day-to-day work tends to be disregarded. This study aims to establish a theoretical model of BCT acceptance, identify key influencing factors and paths of behavioral intention to adopt BCT and promote strategies to enhance BCT adoption.Design/methodology/approachA new BCT acceptance model for construction practitioners was proposed. A survey was performed with 203 construction practitioners in Shenzhen, China and post-survey interviews were conducted with four BCT experts for validation. Covariance-based structural equation modeling was used to examine the influence paths and moderating effect analysis was performed to check practitioners’ differential perceptions.FindingsPerformance expectancy, social influence, facilitating conditions and perceived behavioral control significantly and positively influence behavioral intention to accept BCT, while impacts from effort performance and risk are negative. Overcoming obstacles related to the effort required for BCT adoption and effective risk management will be essential to unlocking BCT’s transformative potential. Then, the moderating effects of respondents’ gender, degree and BCT knowledge as well as the project type involved were analyzed. Continued adoption of BCT in the construction industry has the potential to revolutionize project management, transparency and trust among stakeholders.Research limitations/implicationsThe findings of this research can help practitioners and government agencies understand crucial influencing factors and pathways of BCT acceptance. Targeted measures, such as increasing practitioners’ benefits and sense of BCT usefulness, conducting pilot projects and increasing publicity, were proposed for project leadership teams to enhance BCT adoption. This may lead to increased efficiency, reduced disputes and more streamlined and secure construction processes, ultimately enhancing the industry’s overall performance.Originality/valueFew studies have explored BCT acceptance from the perspective of non-managerial construction practitioners. The BCT acceptance model proposed in this study is a novel adaptation of previous technology acceptance models, with new factors (risk and perceived behavioral control) and moderating variables (degree, BCT knowledge and project type) added for better understanding of non-managerial practitioners’ perceptions and differences.

Understanding English‐as‐a‐foreign‐language university teachers' synchronous online teaching satisfaction: A Chinese perspective

AbstractBackgroundIn a context where synchronous online teaching has become a new trend of instruction for online education due to the COVID‐19 pandemic, it is valuable and insightful to examine what factors contribute to teachers' satisfaction with synchronous online teaching.ObjectiveInformed by the technology acceptance model (TAM), this study investigated English‐as‐a‐foreign‐language (EFL) university teachers' synchronous online teaching satisfaction in China from social (i.e., subjective norms), institutional (i.e., facilitating conditions), and individual (i.e., self‐efficacy, attitudes toward use, perceived usefulness, and perceived ease of use) levels during the COVID‐19 pandemic.MethodsA total of 250 in‐service EFL university teachers participated in this study. An online questionnaire was adaptively developed to measure teachers' perceptions of and satisfaction with synchronous online teaching. The structural equation modelling (i.e., path analyses) was performed to find out a model that can best represent EFL university teachers' synchronous online teaching satisfaction.Results and ConclusionThe results showed that facilitating conditions, self‐efficacy, attitudes toward use, and perceived usefulness are direct contributors to EFL university teachers' satisfaction with synchronous online teaching. Whereas, perceived ease of use, self‐efficacy, and subjective norms are indirect contributors through the mediation of attitudes toward use. Moreover, different from previous TAM research, facilitating conditions have been found to be the most significant direct factor positively contributing to satisfaction. The findings of this study are expected to shed light on how to enhance teachers' synchronous online teaching satisfaction.

Exploring short video apps users' travel behavior intention: Empirical analysis based on SVA-TAM model.

Social media had made significant effect on the tourism and hospitality industry. Among diverse types of social media platforms, short video apps (SVA) represented by TikTok or Douyin had brought great changes to the tourism industry. As new mobile technology platform, short video apps had changed the way for user to obtain travel information, make traveling plans and share the travel experience. Considering the new technology of SVA and the influence in tourism, this research aims to explore the SVA users’ behavior intentions and the adopting of SVA for making travel decision. Therefore, the new SVA-TAM model is proposed based on the technology acceptance model (TAM), including two new variables: electronic word of mouth (eWOM) and electronic trust (eTrust). An online survey was conducted to short video apps users. PLS-SEM was implemented for data and structural equations analysis of the final obtained 302 samples. In terms of the relationship between variables, this study found that user perceptions of SVA on usefulness and ease of use are powerful predictors of attitudes toward using SVA for travel planning, which maintains consistency with the outcome of previous TAM studies. Additionally, eWOM and eTrust positively influence user attitudes toward using SVA for travel planning even for destination decisions. Therefore, the short video apps should be taken into consideration for tourism marketing and destination branding owes to the effect on the potential users’ behavior intentions.

User acceptance of autonomous public transport systems: Extended UTAUT2 model

The purpose of this study is to investigate the factors affecting the acceptance and use of the APTS by its potential users. To achieve this, an integrated and expanded user acceptance model is introduced to explain the factors affecting the Behavioral Intention to use the APTS. A total of 316 surveys were conducted, from 275 participants by online surveys and 41 participants by face to face interviews. With the data that are acquired from Public Transportation (PT) users in Istanbul, the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model is modified and Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit, Trust and Safety, Perceived Usefulness, Perceived Risk and Behavioral Intention constructs are utilized in the model. Age, gender and frequency of PT usage are included in the model to examine the moderating effect on the constructs while the model is tested with Structural Equation Modeling (SEM). The proposed model explains the 72 % of variances in this study which proves that the model has stronger predictive power compared with the previous Technology Acceptance Model (TAM) and UTAUT models. Performance Expectancy, Social Influence, Habit, and Trust and Safety constructs are concluded to have significant positive effects on Behavioral Intention. Public usage and acceptance are necessary for the complete utilization of APTS. The findings of these studies are hoped to guide the decision-makers of the PT industry to understand the factors affecting the use and acceptance of APTS and take the actions accordingly.

Effects of Instagram User-Generated Content on Travel Inspiration and Planning: An Extended Model of Technology Acceptance

Focusing on four types of user-generated content (UGC) on Instagram for travel planning, this study examined the impacts of UGC format, distribution channel, and engagement on travelers’ feelings of social presence, trustworthiness, and perceived enjoyment. These factors were then used to test an extended Technology Acceptance Model (TAM) on trip planning. Results showed response-to-marketer-action UGC hosted on official Instagram channel was an effective way to increase perceived enjoyment of travel-related UGC in a low engagement situation. Social presence, perceived trustworthiness, and perceived enjoyment were included as three external variables in an extended TAM for UGC-based travel planning. Compared to previous TAM studies, perceived ease of use and enjoyment, instead of perceived usefulness, were strong predictors of attitude and intention for UGC-based travel planning. Seeking fun with less effort is a main reason to process UGC information on Instagram for travel planning.

Adoption Intention and Factors Influencing the Use of Gerontechnology in Chinese Community-Dwelling Older Adults: A Mixed-Methods Study.

Objective: To explore the Chinese community-dwelling intention of older adults to adopt gerontechnology and its influencing factors.Design: A mixed-methods sequential explanatory design with an inductive approach was employed. In phase 1, a self-made questionnaire was administered from August 2018 to December 2019. Multifactor logistic regression was used to analyze the adoption intention and factors influencing the use of gerontechnology. In phase 2, participants completed a semistructured interview to explore the adoption intention of a specific form of gerontechnology, Smart Aged Care Platform, from May to July 2020.Setting: Twelve communities in three districts of Chongqing, China.Participants: Community-dwelling older adults were included.Results: A total of 1,180 older adults completed the quantitative study; two-thirds of them (68.7%) showed adoption intention toward gerontechnology. Nineteen participants (10 users and nine nonusers) completed the qualitative study and four themes were explored. Through a summarized understanding of the qualitative and quantitative data, a conceptual model of influencing factors, namely, predictive, enabling, and need factors, was constructed.Conclusions: This study reveals that most Chinese community-dwelling older adults welcome the emergence of new technologies. However, there was a significant difference in the adoption intention of gerontechnology in Chinese community-dwelling older adults based on their sociodemographic and psychographic characteristics. Our findings extend previous technology acceptance models and theories and contribute to the existing resource base.

Industry 4.0 an empirical analysis of users’ intention in the automotive sector

PurposeThis paper aims to study the automotive 4.0 context to understand the consumers’ propensity towards high-tech automated cars. The paper analyses the antecedents that lead to the use of innovative vehicles. Theory of planned behaviour (TPB) is adopted and extended by including further constructs, such as environmental aspects and inhibitors.Design/methodology/approachThe advent of smart technologies and the internet of things has given rise to several contributions that look at consumers’ intention towards innovation adoption in the automotive industry. Furthermore, this study rises from the growing interest that sustainable mobility achieved. Based on the previous technology acceptance models and particularly TPB, this paper develops a structured questionnaire. After a pilot survey, the final questionnaire was administered online through email and social media in the Italian context. Structural equation modelling technique has been used for analysing data and testing the conceptual model.FindingsThe number of questionnaires filled out was 310, with a sample composed of young adults, characterised by different addiction levels towards technology. The results explain the drivers that lead to accept and adopt high-tech automated vehicles. This topic is still under investigation and offers potential research opportunities, considering the evolution of the market and the consumers’ habits and needs. Future research studies in this area should focus on generalising the present findings in other countries. Moreover, once this technology starts to be adopted, other constructs could be discovered, investigated and included in the model.Originality/valueMobility has raised a growing interest with the fast increasing demand for sustainability and growth of innovative solutions embedded in mobility. This research explores the TPB model’s application and the relation between its constructs, environmental aspects, inhibitors and intention to adopt automated vehicles. On this strength, it is possible to identify each construct’s relevance for obtaining social consensus on the market.

Factors influencing learners’ continuance intention toward one-to-one online learning

ABSTRACT One-to-one online learning has become pervasive in distance education. However, factors affecting learners’ continuance intention toward one-to-one online learning are not well known. This study proposed a model to explain learners’ continuance intention toward one-to-one online learning. The model extends previous technology acceptance models and theories by adding instructor-, course-, and system-related factors. A questionnaire was constructed, and a total of 840 samples was collected. Results of hierarchical regression analysis indicated that experience was positively related to continuance intention, and self-efficacy and anxiety were significantly related to perceived ease of use and perceived usefulness. Perceived ease of use, perceived usefulness, attitude toward using the system, facilitating conditions, and social influence were significant predictors of continuance intention to use. Instructor quality, course quality, interaction feedback, and system usability were significantly related to continuance intention toward one-to-one online learning. The proposed model could explain 71.5% of the variance in continuance intention to use one-to-one online learning. The results provided practical implications for the design and improvement of one-to-one online learning systems.

Examination of trust and sustainability concerns in autonomous vehicle adoption

The latest developments regarding autonomous vehicles (AVs) have drawn the attention of tech-savvy individuals and marketers. AVs are expected to cause a major change in the markets of vehicle selling, transportation and logistics. Therefore, it is crucial to understand consumer acceptance so that the companies in these markets can develop their penetration strategies accordingly and technology companies can shape their technology development strategies. This study aims to examine individuals' adoption attitudes toward AVs by considering trust and sustainability concerns. This was achieved by expanding the technology acceptance model (TAM). A survey of 391 participants was conducted and the data were analyzed using structural equation modeling (SEM). The results confirmed previous technology acceptance models by showing the relationships between perceived usefulness, perceived ease of use, and behavioral intention. Moreover, the direct and indirect effects of trust on behavioral intention were also shown. This study provides evidence to extend the TAM to the adoption of AVs by uncovering individuals’ sustainability concerns.

Exploring Perceptions of Health Care Providers' Use of Electronic Advance Directive Forms in Electronic Health Records.

The current study explored the perceptions of health care providers' use of electronic advance directive (AD) forms in the electronic health record (EHR). The Technology Acceptance Model (TAM) was used to guide the study. Of 165 surveys distributed, 151 participants (92%) responded. A moderately strong positive correlation was noted between perceived usefulness and actual system usage (r = 0.70, p < 0.0001). Perceived ease of use and actual system usage also had a moderately strong positive correlation (r = 0.70, p < 0.0001). In contrast, the strength of the relationship between behavioral intention to use and actual system usage was more modest (r = 0.22, p < 0.004). There was a statistically significant difference in actual system usage of electronic ADs across six departments (χ2[5] = 79.325, p < 0.001). The relationships among primary TAM constructs found in this research are largely consistent with previous TAM studies, with the exception of behavioral intention to use, which is slightly lower. These data suggest that health care providers' perceptions have great influence on the use of electronic ADs. [Journal of Gerontological Nursing, 45(1), 17-21.].

A Cultural Model of Online Banking Adoption

Because the technology acceptance model (TAM) may not be applicable to all cultures, conducting studies from a cultural perspective to support research on the adoption of online banking can contribute to the TAM literature. A research framework based on the extended TAM is developed to examine the effects of efficacy (computer self-efficacy), social status (subjective norms) and belief variables (perceived usefulness and ease of use) on customers' adoption intentions. The effect of the interaction between the cultural value of long-term orientation and the TAM is examined. A voluntary survey involving a total of 376 potential adopters was conducted in an online banking setting in Taiwan. The results confirm previous TAM findings that both efficacy and belief variables have significantly positive direct and indirect effects on adoption, but under the cultural influence of long-term orientation, customers remain hesitant to use online banking because they are more concerned with face-to-face long-term bank relationships to ensure future gratification than with current social status.

The Technology Acceptance Model E-Commerce Extension: A Conceptual Framework

Abstract Electronic-commerce has become an important channel for conducting business. Researchers as well as market executives are trying to better understand online consumer behavior. One model used by researchers to understand behavior in the information systems field in general is the technology acceptance model (TAM). The TAM variables are perceived usefulness, perceived ease of use, and intentions. In this study, we suggest the extension of the TAM for its application in the E-commerce field. The original TAM will be extended, by adding four predictor variables. The four predictor variables are process satisfaction, outcome satisfaction, expectations, and E-commerce use. In addition, the TAM will be extended by measuring actual behavior as opposed to measuring intentions as a substitute for actual behavior in previous TAM application studies. We suggest measuring actual use variable in terms of four criterion variables, namely, purchase, access number, access total time, and access average time. The extended TAM is expected to better explain actual behavior in E-commerce environments than the original TAM.

Gerontechnology acceptance by elderly Hong Kong Chinese: a senior technology acceptance model (STAM)

The purpose of this study was to develop and test a senior technology acceptance model (STAM) aimed at understanding the acceptance of gerontechnology by older Hong Kong Chinese people. The proposed STAM extended previous technology acceptance models and theories by adding age-related health and ability characteristics of older people. The proposed STAM was empirically tested using a cross-sectional questionnaire survey with a sample of 1012 seniors aged 55 and over in Hong Kong. The result showed that STAM was strongly supported and could explain 68% of the variance in the use of gerontechnology. For older Hong Kong Chinese, individual attributes, which include age, gender, education, gerontechnology self-efficacy and anxiety, and health and ability characteristics, as well as facilitating conditions explicitly and directly affected technology acceptance. These were better predictors of gerontechnology usage behaviour (UB) than the conventionally used attitudinal factors (usefulness and ease of use).Practitioner Summary: Previous studies have not given much consideration to age-related health and associated abilities when examining acceptance of technology by the ageing population. By encompassing conventional technology acceptance constructs together with age-related health and ability characteristics, the present study was able to identify more factors affecting gerontechnology acceptance by older Hong Kong Chinese.

스마트교육 수용의도에 영향을 미치는 요인 간의 관계 분석

이 연구는 스마트교육 수용의도에 영향을 미치는 요인들의 관계를 분석하는데 목적이 있다. 기존 정보기술수용모형(technology acceptance model) 관련 선행연구를 토대로, 스마트교육 수용의도에 영향을 미치는 잠재모형을 개발하였다. 잠재모형의 예비타당성 검증절차를 거친 후, 이를 통해 수정된 모형을 검증하기 위해 경기도 A 연구소의 스마트교육 체험학습프로그램을 이수한 초 중 고등학생 132명을 대상으로 설문조사를 실시하고 그 자료를 수집 및 분석하였다. 연구결과, 다음과 같은 가설들이 채택되었다. 상호작용성은 지각된 유용성에 영향을 미친다(가설I). 상호작용성은 지각된 사용용이성에 영향을 미친다(가설II). 상호작용성은 지각된 수용의도에 영향을 미친다(가설III). 사회적 영향은 지각된 유용성에 영향을 미친다(가설IV). 사회적 영향과 상호작용성은 서로 영향을 미친다(가설V). 지각된 유용성은 수용의도에 영향을 미친다(가설VI). 지각된 사용용이성은 수용의도에 영향을 미친다(가설VII). 또한 연구모형의 적합도검증 결과, <TEX>${\chi}^2$</TEX>값은 6.600, 유의확률은 .086으로서 유의수준 .05에서 모형과 자료가 일치한다는 영가설이 채택되었으며, CFI와 NNFI(TLI) 값은 각각 .99, .99로 높은 적합도 수준을 보였다. 다만, RMSEA 값은 .09로서 다소 높은 값을 보이지만, 수정된 연구모형의 적합성을 해하는 수준은 아닌 것으로 판단되었다. This study aims to analyze the relationships among factors which influence acceptance intention of smart education. Based on literature reviews related with previous technology acceptance models, a potential model and seven hypotheses were suggested. Questionnaire was carried out among 132 students from elementary and secondary schools. They have experiences of utilizing applications of mobile devices for instructional goal. Cronbach alpha of the questionnaire was .78. The collected data were analyzed through path analysis. The results of this research are as follows. Seven hypotheses were adopted: Interaction will affect on perceived usefulness, Interaction will affect on perceived ease of use, Interaction will affect on acceptance intention, Interaction will affect on social influence, Social influence will affect on perceived usefulness, Perceived usefulness will affect on acceptance intention, Perceived ease of use will affect on acceptance intention. The model revised through the results of path analysis had good-fitness. That is, overall fit measures (RMSEA, CFI, NNFI), indexes that show the suitability of the model were quite good.

A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type

The technology acceptance model (TAM) has proven to be one of the most powerful theories to explain user's technology adoption. Among many external variables incorporated into TAM, trust is considered to be an important factor that influences the user's online behavior, especially in the e-commerce context. This study conducts a meta-analysis based on the previous TAM studies in an attempt to make well-grounded statements on the role of trust. Furthermore, the paper examines those TAM studies by considering moderating effects of subject type (students or non-students) and context type (commercial or non-commercial). Results indicate a significant influence of trust on TAM constructs. Moderating effects are found for most pair-wise relationships. The findings yield implications for both researchers and service providers.

Adoption of travel e‐shopping in the UK

PurposeThis study aims to explore consumers' adoption of internet shopping in the context of UK travel services. The key objective is to identify the profile of internet shoppers and the antecedents of internet shopping adoption for travel services.Design/methodology/approachThe paper includes evidence and findings from an online survey questionnaire distributed to existing travel e‐shoppers in the UK via their e‐mail address. Drawing upon Davis' technology acceptance model (TAM), the study proposes a model for the prediction of internet shopping adoption, with inclusions of personal and cognitive influence. The model identifies the structural relationships among eight constructs, which were examined through structural equation modelling.FindingsThe results of this study yield evidence that previous technology acceptance and diffusion research, and specifically the significant body of work based on the TAM, may serve as a foundation for much needed research into consumers' adoption of internet‐related activities. Relationships among primary TAM constructs found in this research are largely consistent with those typical in previous TAM research. The descriptive results present a profile of travel e‐shoppers in terms of demographic, geodemographic and buying patterns. The results explicitly clarified several key contributions to and implications for marketing theory and practice.Practical implicationsThe findings will facilitate an understanding of the factors associated with the adoption of travel e‐shopping, thereby enabling retailers and policy makers to better develop appropriate strategies to enhance and promote e‐shopping to future users while retaining existing customers.Originality/valueEssentially, the research framework explains three basic issues of online marketing: Who actually shops via the internet? What makes consumers adopt internet shopping? Which attributes are relatively important to adoption?

Assessing Knowledge Management System User Acceptance with the Technology Acceptance Model

This article presents the results of a study investigating the applicability of Davis’ Technology Acceptance Model (TAM) to user acceptance of a knowledge management system (KMS) in a modern organizational environment. The study endeavors to expand empirical research of two important and complex research questions: (1) What are the important factors, conditions, and mechanisms that affect people’s acceptance and usage of collaborative and interdependent KMS in the modern organizational environment?, and (2) How applicable is the TAM, and the substantial body of information technology (IT) research around this model, to user acceptance and usage of a KMS in a modern organizational environment where collaboration, knowledge sharing, and role based system usage is necessary for the organization to function competitively? The study provides preliminary evidence suggesting previous TAM research may serve as a foundation for research of KMS user acceptance. Relationships among primary TAM constructs found in this study are in substantive agreement with those of previous research. These findings are significant because they suggest that the considerable body of previous TAM related IT research may be usefully applied to the knowledge management (KM) domain where interdependent social processes that require knowledge creation, storage and retrieval, transfer, and application are required for effective organizational functioning.