Extended Technology Acceptance Model Research Articles

Factors Influencing E-learning Technology Among Youth in India: An Extended TAM Model

Given the pandemic that hit the world, there was suddenly an increased focus on E-learning. This study aimed at determining the various factors that influence the youth of India to opt for E-learning. This study was conceptualized based on the technology acceptance model and integrating social influence (SI) and perceived enjoyment (PE) as additional constructs to determine the attitude (AT) and behavioural intention (BI) towards E-learning. The study also proposes a basic framework of knowledge for E-learning, a shift from traditional classroom learning, which is not researched adequately in previous literature. The sample for this research study were postgraduate students drawn by non-probability judgment and snowball sampling. Data analysis was performed using structural equation modelling, cross-tabulation and Pearson correlation with the help of SPSS Amos software. The results of the study concluded that AT significantly mediates between perceived usefulness, perceived ease of use, SI, PE, and BI. Additionally, the study determined the classroom and E-learning preferences of students comparatively.

Extending the Technology Acceptance Model: A New Perspective on the Adoption of Blockchain Technology

While previous studies have investigated the factors influencing Internet adoption, the findings may not be transferable to explain blockchain technology (BCT) adoption, despite its similarities to the Internet. This study addresses this gap by developing an extended technology acceptance model (TAM) to investigate the factors influencing BCT adoption. The model consists of four key factors, including strategic management and social influence at the firm level, and individual innovation and self-efficacy at the individual level. Data were collected from 384 employees at Taiwan Stock Exchange companies, and structural equation modeling was utilized to test the hypotheses. Results reveal that strategic management and social influence at the firm level have a direct impact on BCT adoption, which is indirectly influenced by perceived usefulness. Subsequently, training and support provided by the firm can enhance individual innovation and self-efficacy, which has direct effects on BCT adoption at the individual level and is partially mediated by perceived ease of use.

Extending Technology Acceptance Model to Study Electric Vehicle Purchase Intentions in Egyptian

Extending Technology Acceptance Model to Study Electric Vehicle Purchase Intentions in Egyptian

The future of TV-shopping: predicting user purchase intention through an extended technology acceptance model

The shoppable TV, which allows the purchase of products appearing in TV programmes directly, is a digital trend that is not implemented in most markets, but companies such as Amazon and NBC Universal have proposed the first sales systems. The aim of this research is to forecast the adoption intention of this technology by applying the Technology Acceptance Model. Structural equation modelling (PLS-SEM) has been applied to a sample of 283 participants. The results indicate that shopping enjoyment is particularly important in generating attitudes toward this type of consumption, and this increases the intention to use Shoppable TV.

How is the acceptance of new energy vehicles under the recurring COVID-19 — A case study in China

COVID-19 threatens human life and health, and affects travel frequency and travel mode choice. Clarifying the main drivers of the purchase intention of new energy vehicles (NEVs) under the epidemic is important for formulating phasing policy regarding the promotion of green mobility and the construction of smart cities. Based on this, this study introduces variables such as perceived risk and trust under the epidemic, aiming to investigate the main drivers of the purchase intention of NEVs in China under epidemic through an extended technology acceptance model. The data covered the public in urban, suburban, and rural areas of China (n = 884) and were analyzed using structural equation model. Specifically, trust had a significant positive effect after the epidemic. Perceived risk did not directly affect the public’s intention to purchase new energy vehicles, but had an indirect effect through attitude and perceived utility, attitude and trust, and social interaction and trust. In addition, the significant positive impacts of subsidy and non-subsidy incentive are further validated, which reinforces the current view. Considering the limited literature related to the purchase intention of NEVs under the epidemic in developing countries, it is hoped that these findings will provide new perspectives for future research, and provide guidance for phasing policy formulation.

Clearing the way for participatory data stewardship in artificial intelligence development: a mixed methods approach

Participatory data stewardship (PDS) empowers individuals to shape and govern their data via responsible collection and use. As artificial intelligence (AI) requires massive amounts of data, research must assess what factors predict consumers’ willingness to provide their data to AI. This mixed-methods study applied the extended Technology Acceptance Model (TAM) with additional predictors of trust and subjective norms. Participants’ data donation profile was also measured to assess the influence of individuals’ social duty, understanding of the purpose and guilt. Participants (N = 322) completed an experimental survey. Individuals were willing to provide data to AI via PDS when they believed it was their social duty, understood the purpose and trusted AI. However, the TAM may not be a complete model for assessing user willingness. This study establishes that individuals value the importance of trusting and comprehending the broader societal impact of AI when providing their data to AI. Practitioner summary: To build responsible and representative AI, individuals are needed to participate in data stewardship. The factors driving willingness to participate in such methods were studied via an online survey. Trust, social duty and understanding the purpose significantly predicted willingness to provide data to AI via participatory data stewardship.

Determinants of Live Commerce Acceptance: Focusing on the Extended Technology Acceptance Model (TAM)

Determinants of Live Commerce Acceptance: Focusing on the Extended Technology Acceptance Model (TAM)

확장된 기술수용모델을 적용한 OTT 서비스 지속사용의도 영향 요인 -넷플릭스 사용자의 성별, 연령의 조절효과를 중심으로-

확장된 기술수용모델을 적용한 OTT 서비스 지속사용의도 영향 요인 -넷플릭스 사용자의 성별, 연령의 조절효과를 중심으로-

Factors Affecting MSMEs in Using QRIS and Electronic Data Capture (EDC) as a Cashless Payment Method: Evidence from Sorong City, Southwest Papua

Rapid progress has been made in the development of cashless payment systems. As can be seen from the positive level of public acceptance of this payment method development standard, moreover this trend has become necessary for rural communities. QRIS and debit card payment via EDC are the non-cash methods that MSMEs players in Sorong city utilize the most frequently. Sorong city is quite developed province of Southwest Papua Indonesia, which is well regarded as a commercial and industrial hub. According to reports as of January 2022, the use of QRIS by merchants in the Sorong city itself has not met the target set by Bank Indonesia. This research aims to examine the variables that affect MSMEs players decision to use QRIS and EDC for cashless transactions. In this quantitative research, the variables predictor used are the extended Technology Acceptance Model (TAM) by Davis, with are perceived risk as X1, perceived ease of use as X2, and perceived usefulness as X3. Convenience sampling was the sampling technique utilized, with questionnaires distributed to the 60 MSMEs players throughout Sorong city. Multiple linear regression analysis is used to determine the significance relationship between predictor variables and response variable. The findings demonstrate that there is significant relationship between perceived ease of use and perceived usefulness on the decision of MSMEs players to use QRIS and EDC for cashless payments in their businesses, while the usage decision not significantly affected by the variable of perceived risk. The research's empirical evidences are expected to increase local business literacy and provide a reference for the government and policymakers who make rules about cashless payment systems.

Unraveling behavioral factors influencing the adoption of urban air mobility from the end user's perspective in Tehran – A developing country outlook

The integration of shared, autonomous, electric, and on-demand mobility services introduces urban air mobility (UAM) as an emerging intra-city transportation service operated by vertical take-off and landing aircraft. Despite the potential benefits of UAM limited literature exists on the end user's perception and the challenges to its societal acceptance, especially in developing economies. This paper addresses this gap in the literature by investigating the factors influencing UAM usage intention in Tehran, a developing country capital. Within the framework of the extended technology acceptance model, the study collected 828 valid questionnaires through a face-to-face survey. Structural equation modeling is employed to highlight the effects of a wide range of factors associated with individual differences, system characteristics, and social influence. The findings indicate that attitude, subjective norms, trust, perceived usefulness, perceived enjoyment, personal innovativeness, ecological awareness, and price evaluation are positively associated with UAM usage intention, while perceived safety correlates with the attitude toward UAM negatively. These findings provide valuable insights for policymakers and industry stakeholders, fostering a deeper understanding of end-user perspectives in developing countries, and prudently promising the potential for its targeted implementation. The study suggests that although its widespread adoption in developing countries is unlikely to occur in the near future, UAM should be regarded as a viable early and timely solution to persistent issues such as chronic congestion in metropolitan areas of the global south.

Drones take flight in forests: Uncovering the ‘tree’-mendous potential and ‘timber’-rific challenges for German forest managers by applying the technology acceptance model

This pioneering study addresses the underexplored topic of adoption of drones by forest managers. Surveying 215 German forest managers from December 2021 to February 2022, the research sheds light on factors influencing intention to use drones. Only 10% of the respondents use a drone for forestry purposes. Users of drones rank the possibility to timely response to calamities as the highest benefits of drone use. Regarding barriers, it was found that lack of technical know-how and equipment were the highest ranked reasons for non-use of drones. Using partial least squares structural equation modelling (PLS-SEM), an extended Technology Acceptance Model (TAM) was employed to analyze the data. The results demonstrate that perceived usefulness for forest management is the most influential factor driving forest managers' intention to use drones. The TAM framework explains 43% of the variation in their intentions, indicating its efficacy in capturing the decision-making process. The study's implications are important for policymakers, extension services, researchers, and practitioners. The findings offer valuable insights into the factors shaping forest managers' intention for drone adoption in forestry and highlight the need for addressing technical knowledge gaps and equipment limitations as primary barriers.

Students' Acceptance of Technological Devices for E-Learning During Covid-19 Pandemic in Malaysian Higher Education

During the pandemic, the majority of teaching and learning activities have transitioned to electronic platforms, utilizing technological devices. E-learning has emerged as a prominent tool for facilitating and managing these educational processes. Through e-learning, instructors can effectively handle student records, course materials, grading, and communication. This research focuses on examining students' acceptance of technological devices for e-learning in the context of higher education in Malaysia during the pandemic. The primary objective is to investigate students' acceptance and ongoing use of technological devices to support teaching and learning. The extended Technology Acceptance Model (TAM) is employed as the theoretical framework for descriptive assessment of students' acceptance. The study's findings reveal that students exhibit a positive attitude towards utilizing technological devices for e-learning during the pandemic.

Fun at Work: Need or Fad? Understanding the Effect of Social Connectedness in Job Search with Social Media

Social connectedness, a key determinant of intention to use in many social media applications is influenced by users’ hedonic (fun, enjoyment) and utilitarian (usefulness) perceptions. This study investigates the effect of social connectedness on job search through social media by using an extended technology acceptance model (TAM) as the theoretical framework. A hypothesized model is examined to understand how job search behaviour is influenced by social connectedness when applying for a job or choosing a company. Data gathered from 578 respondents via an online survey were analysed using covariance-based structural equation modelling (CB-SEM). The study results show social connectedness to have a statistically significant indirect effect on intention to use social media and to be mediated by both utilitarian and hedonic perceptions. However, the mediating influence of hedonic perceptions is perceived to be stronger to suggest job seekers perceive fun in the workplace as a stronger need. The study has implication for organizations to prioritize social connectedness as employee well-being, job performance, talent management and innovation efforts could be enhanced. The study extends and revalidates the TAM model in a job search context and supports its use as a valuable framework for understanding the impact of social connectedness in job search.

Adoption of Electric Motorcycles in Pakistan: A Technology Acceptance Model Perspective

Electric motorcycles (EMs) are gaining popularity in densely populated Asian countries, offering environmentally friendly solutions to combat traffic-related pollution. Governments and authorities are eager to promote EMs to reduce reliance on traditional fuel-based motorcycles. While prior research has explored the potential impacts of EMs, limited attention has been given to the adoption intentions of the Pakistani public. This study investigates the factors influencing the behavioral intentions of adopting EMs in Pakistan, employing an extended technology acceptance model (TAM) framework. The extended model incorporates perceived values and environmental concerns, along with perceived usefulness and perceived ease of use, to assess their impact on EM adoption intentions. Based on data collected from 228 respondents in Karachi, Pakistan, structural equation models were estimated to identify significant factors affecting EM adoption. Findings highlight the substantial influence of perceived value and environmental concern on behavioral intentions, with perceived ease of use playing a mediated role through perceived usefulness. Results suggest that effective marketing and user-friendly EM designs, coupled with well-crafted policies and education, can substantially boost EM adoption by the public, facilitating a shift toward sustainable transportation alternatives.

Online Purchase Intention Under the Integration of Theory of Planned Behavior and Technology Acceptance Model

This study focuses on predicting the online purchase intention of consumers purchasing from e-commerce platforms using an integrated model of the theory of planned behavior (TPB) and extended technology acceptance model (TAM). The results showed that TAM factors, perceived value, and perceived enjoyment had significant effects on attitude toward online purchase, while the TPB inputs, perceived enjoyment, and e-commerce exchange image played strong roles in influencing online purchase intention. The results also showed that perceived enjoyment helped to raise the predictive power of attitude dramatically, while the e-commerce exchange image contributed a high portion to explain online purchase intention variation. The results indicated that the e-commerce trading platforms need to focus on improving their images and on increasing customers’ experience to improve their business performance.

Using an extended technology acceptance model to investigate facial authentication

The biometric authentication is an pioneering technology, which confirms an individual’s identity by leveraging their definite physical or behavioural traits, including facial features, retinal scans, vocal patterns, palm vein patterns. Although the potential advantages and increasing prevalence of biometric authentication in both public and private sectors are evident, its adoption by end-users has been comparatively sluggish. To investigate the driving forces behind individual acceptance of new technologies, we developed a comprehensive the Technology Acceptance Model (TAM) and examined the impact of novel constructs such as Personal Innovativeness (PI), Perceived Enjoyment (PE), Trust (T), Personal Innovativeness (PI), and Perceived Risk (PR). This study involves two phases of data collection, which involves the use of two biometric authentication devices (Palm Vein Scanner and Face Authentication device). In each phase, 100 voluntary participants interact with a biometric authentication device mounted on a self-service coffee machine. The goodness-of-fit of the collected data to the model is verified, and both the proposed model and the hypotheses are evaluated using the Structural Equation Modelling (SEM). The findings substantiate that users’ Perceived Enjoyment (PE) with facial authentication devices positively affects their Perceived Ease of Use (PEU). Perceived Usefulness (PU) was found to significantly influence the user’s Attitude Towards Usage (ATU) of the face Authentication device, while PEU and ATU were found to be in an inverse relationship. The construct T proved having a positive effect on the user’s ATU, which in turn has a significant influence on the BI of the user. These crucial factors determine the adoption of facial Authentication technology for daily usage. Moreover, this study shows that PR is the main hindrance to users accepting Facial Authentication technology. To have a more comprehensive insight into influential factors in accepting new biometric technology, we combine the collected data for both phases and analyse the feedback from participants interacting with both biometric authentication devices.

Factors influencing older adults' intention to use virtual fitting room technology during the COVID-19 pandemic

PurposeThe purpose of this paper is to examine the factors that influence older adults' intention to use virtual fitting room technology during the COVID-19 pandemic based on the extended technology acceptance model (TAM).Design/methodology/approachAn online survey was conducted with a sample of older adults from 60 to 90 years old (n = 819). A structural equation modeling was conducted to test a proposed research model.FindingsThe results revealed that older adults' behavioral intentions were positively influenced by perceived usefulness and ease of use, and fear of infection during the pandemic was significantly related to the perceived usefulness. Fit concern was not significantly related to perceived usefulness of virtual fitting room technology.OriginalityThis research extends the TAM by adding antecedents to perceived usefulness in explaining older adults' adoption of virtual fitting technology.

Intention of learners to continue online learning using the extended TAM framework

This study examined the characteristics that impact students' intentions to use Microsoft Teams as their primary teaching and learning platform. A total of 171 students were randomly selected to complete an electronic questionnaire that tested the constructs of the extended Technology Acceptance Model (TAM). The results indicated that “perceived usefulness” and “attitude” towards the platform together with “perceived ease of use” (R2 = 73.9%) were the most important predictors of students' intention to use Microsoft Teams in the future (R2 = 77.8% and 73.9% respectively). This study recommends lecturers and students communicate more to increase the student’s intrinsic motivation in online learning by incorporating various activities that promote collaboration, communication and active learning in the online environment. Such activities can be facilitated by the platform and can include online discussions, peer review, group projects and collaborative problem-solving tasks. In addition, the study suggests that lecturers should provide more training and support to students on how to use MS Teams effectively to enhance their learning experience.

Investigating and understanding library data services to support college student data literacy competencies: A conceptual framework

Guided by a conceptual framework based on the baseline data literacy competencies (DLCs) mapped to the ACRL information literacy framework and the extended technology acceptance model, this study uses an online survey to investigate the factors related to student users’ potential acceptance of library data services supporting DLCs in a master’s college environment. With quantitative and qualitative data analyses, the study builds three conceptual models to demonstrate how students’ study-related data engagement and backgrounds may influence their attitudes toward multi-aspect library data services, including general data services, an institutional data repository, if available, as a data resource, and institutional data repository-based services. The study’s findings support library data services’ cross-disciplinary, multidimensional, and multilevel nature, addressing the value of institutional data repositories and repository-based data services in comprehensively promoting data literacy competencies of all groups in all disciplines. The contribution of this study, beyond being among the first to look at library data services from a holistic perspective to support college students’ DLCs, includes a call for further explorations of student data engagement practice and verifying and generalizing the current study findings by investigating more students’ data services need in more college communities.

Behavioral Intentions to Use Energy Efficiency Smart Solutions under the Impact of Social Influence: An Extended TAM Approach

The role of social influence (SI) as a determining factor in accepting new technologies has been addressed in several studies using the initial or extended technology acceptance model (TAM). This research uses an adaptation of the extended technology acceptance model (TAM) to analyze the behavioral intention of Romanian consumers regarding the use of energy efficiency smart solutions (EESS) under the effect of social influence. Data were processed with the structural equation modeling technique (PLS-SEM). The sample consisted of 302 domestic electricity consumers in Romania. The study’s findings show that the respondents’ perceptions of the two social influence dimensions—network of friends, colleagues, or family (SI_FF); and public space (SI_PS)—and their effects on other conceptual model variables are significantly different. The main implications highlight that the proposed model addresses social influence on two levels (SI_FF and SI_PS), to highlight not only the differences in users’ perceptions, but also the main directions in which efforts to promote these technologies should be focused more intensively, in the context of implementing European policies regarding the reduction of energy consumption at the level of household consumers. An important component of the proposed model is the analysis of the role of hedonic motivation constructs, expected performance, perceived usefulness, and perceived ease of use in mediating the relationship between social influence and behavioral intention to use.