Technology Acceptance Studies Research Articles

Effects of game-based learning on academic outcomes: A study of technology acceptance and self-regulation in college students

ObjectiveThis study investigates the interplay between the Technology Acceptance Model (TAM), self-regulation strategies, and academic self-efficacy, and their collective impact on academic performance and perceived learning among college students engaged in remote education. MethodsA sample of 872 university students from Southern China participated in this study. Structural Equation Modeling (SEM) was employed to analyze the theoretical relationships among the variables. The research focused on two primary areas: the connection between academic self-efficacy and gameful self-regulation strategies within the framework of TAM, and the influence of TAM's three dimensions on students' perceived learning and academic performance. ResultsFindings highlight self-efficacy and gameful self-regulation strategies, in enhancing technology acceptance. Improved acceptance of technology is shown to positively affect academic performance and the perceived learning experience of students in classes using game-based online resources. ConclusionThe study emphasizes the significance of self-efficacy and gameful self-regulation strategies in shaping students' perceptions and attitudes towards technology. These factors are found to be key determinants of both perceived learning and academic achievement in the context of game-based online resource classes.

The use of augmented reality technologies in tourism businesses from the perspective of UTAUT2

PurposeAugmented reality is one of the technologies that developed and became widespread, especially after the 2000s. It is seen that innovations such as 3D virtual reality glasses, artificial intelligence-supported smart chatbots that communicate with customers in a virtual environment, keyless hotel systems, the Internet of Things, augmented reality applications, smart personal assistants, digital infrastructure concepts and face recognition systems are used in tourism businesses. The place and use of augmented reality technologies in tourism enterprises are discussed in this study. This study was evaluated from the perspective of UTAUT2. The purpose of this study is to examine the usability of augmented reality technologies in tourism businesses.Design/methodology/approachWithin the scope of the study, interviews were held with augmented reality application developers, digital marketing agencies and accommodation business managers. The obtained data were processed with the MAXQDA analysis program.FindingsIt has been determined that augmented reality is a useful and informative technological tool for tourists, it can help sales, promotion and marketing activities, and its usability potency in accommodation businesses is high.Originality/valueWhen the literature is reviewed, it is understood that the studies that apply to the opinions of the application developers and the managers of the accommodation establishments are limited. Therefore, this study has been prepared to contribute to the literature in this respect. This study examines and discusses the use of augmented reality technologies in tourism enterprises, the benefits and difficulties they will create from the perspective of application developers and accommodation business managers and their place in tourism enterprises. This study was evaluated from the perspective of UTAUT2. There is a need for research developed using UTAUT models in technology acceptance studies. In this respect, it will contribute to the literature.

Intention to Use Blockchain Technologies: Evidence from Two Regions — ASEAN and Middle-East

This study presents an empirically well-versed picture of the intention to use blockchain technologies. Empirical evidence from two different regions — ASEAN and Middle-East (ME) — reveals factors that lead managers to use blockchain technology. Samples of 268 and 224 from two response groups were collected using a Likert-based questionnaire. The proposed model was tested using structural equation modeling with SmartPLS 3.2.9. Results confirm that the design of platforms has positive and significant relationships with consumers’ intention to use blockchain technologies. Furthermore, positive and significant relationships were also found between perceived usefulness and perceived ease of use with consumers’ intention to use blockchain technologies. Our results also indicate that perceived ease of use had a positive and significant effect on perceived usefulness. So far, there is limited standard relationship found between perceived ease of use and consumers’ intention to use blockchain technologies in the data from the ASEAN region. This study contributes to the evidence-based view on the effect of intention to use blockchain technology, on the roles of design, perceived ease of use, and perceived usefulness through proposing a novel framework. It adds to the field of technology acceptance studies by providing fresh insights among managers. The paper also emphasizes practical implications for business leaders who wish to capitalize on BT’s advantages in the industry.

Exploring the effects of sudden institutional coercive pressure on digital transformation in colleges from teachers' perspective.

While past technology acceptance studies focus on organization readiness, little is known about the acceptance behavior under sudden institutional coercive pressure. Against COVID-19 and distance teaching, this study explores the relationship between digital transformation readiness, adoption intention, digital transformation success, and sudden institutional coercive pressure based on thereadiness research model and institutional theory. Surveying 233 college teachers who participated in distance teaching under COVID-19 in Taiwan for model and hypothesis validation using the partial least square structural equation modeling (PLS-SEM) approach. This result shows that (1) Teacher, social/public, and content readiness are crucial to distance teaching. Individuals, organizational resources, and external stakeholders influence distance teaching success and adoption; and (2) Sudden institutional coercive pressure has a negative moderated effect on teachers' readiness and adoption intention. When teachers are unprepared to implement distance teaching, this unanticipated epidemic and sudden institutional coercive pressure will accelerate and enhance their intention. The study provides government, educational policymakers, and teachers with a better understanding of distance teaching during the COVID-19 pandemic.

The greening of IT use: the impact of environmental concerns on the use of internet systems

PurposeInternet use has a high environmental footprint that is often overlooked by end users. This paper contributes to limiting the negative environmental footprint of Information Technology (IT) use by understanding the relationship between environmental concerns and use of IT amongst users who are aware of the environmental footprint of IT use. Second, the paper argues that taking environmental concerns into account in technology acceptance studies is relevant, even in studies concerning ordinary IT (i.e. IT not commonly classified as “green” technology).Design/methodology/approachThe authors conduct two vignette-based surveys in two different countries: the USA and Belgium. Partial least squares structural equation modeling (PLS-SEM) is used to analyse the effect of environmental concerns on the intention to use the webcam during online meetings and binary logistic regression is used to analyse the relationship between environmental concerns and reported actual use of webcams.FindingsThe higher the respondents' environmental concerns, the higher their intention to use internet systems in a more environmentally responsible way, provided the respondents are aware of the environmental footprint of internet system use. Moreover, the higher the respondents’ environmental concerns, the more likely they are to use internet systems in a more environmentally responsible way.Originality/valueThis study is the first to distinguish “Greening of IT Use” from “Greening of IT” and “Greening by IT” and to show that environmental concerns has an impact on the way end users (intend to) use internet systems, provided the users are aware of the environmental footprint of that use.

A systematic review of technology acceptance models and theories in construction research

Technology use in the construction industry fosters improvements in schedule, safety, cost, productivity, and quality. In this domain, the construction technologies adoption highly depends on stakeholders, who may exhibit some resistance to operational use. This underscores the importance of determining technology integration success using effective methods such as predictive and explanatory modelling. Although existing literature has provided some critical insight into the use of these models and theories, there is no domain-based synthesis on the utility of these models and theories as tools to facilitate the integration of emerging construction technologies. Therefore, this paper provides a systematic review and content analysis showcasing different methods and theories for investigating technology acceptance and generates insights expected to guide future technology acceptance studies. Using a three-phase systematic review process, 35 relevant articles were identified and analysed. This review identified perceived ease of use, perceived usefulness, social norm, attitude, perceived behavioural control, and facilitating conditions as key constructs impacting workers’ intention to accept a construction technology. TAM, TPB, and UTAUT were identified as popular choices for developing hybrid models, while UTAUT provided a relatively higher predictive power. Finally, seven areas for further exploration were discussed. This study contributes to construction knowledge by providing a better understanding of technology acceptance research and generating fundamental insights needed to develop robust and effective predictive and explanatory models for advancing technology acceptance research which would support successful technology integration.

Using immersive technology and architectural design to assist head and neck cancer patients' recovery from treatment: A focus group and technology acceptance study.

Head and neck cancer patients can face debilitating treatment related side-effects, resulting in requirement for support and negatively impacting on care outcomes. This study aimed to develop a digital recovery support package and assess its acceptability with head and neck cancer patients to support their information needs and assist with their self-management. It provided additional support through development of a WebXR platform 'recovery' package, which allowed patients to live a 'virtual reality' experience, entering and moving inside a 'virtual room', accessing targeted resources and specific learning materials related to their cancer. A qualitative intervention development study consisting of three phases. This study followed the COREQ checklist for qualitative research. Phase 1- Focus groups with seven head and neck cancer patients and six healthcare professionals. Phase 2- Development of 'recovery' package based on the focus group data which informed the content and design of the WebXR recovery platform. Phase 3- Technology acceptance study. Once developed, the platform's acceptability of the experience lived inside the virtual room was assessed via qualitative interviews with six different patient participants. Most participants felt comfortable using the virtual reality platform, finding it a realistic and useful support for identifying resources and signposting to relevant materials. Participants agreed the WebXR platform was a feasible tool for the head and neck cancer setting and helped reduce anxiety. Head and neck cancer patients welcome specific targeted, information and advice to support their ability to self-manage their rehabilitation and thus focus their nursing care. The platform was implemented during the Covid-19 pandemic, demonstrating its versatility and accessibility in providing complementary support to head and neck cancer patients, to empower them to adjust to their 'new' normal as part of their ongoing cancer journeys.

The Study of Technology Acceptance for E-Wallets Application of Clinic Fees Payment

The purpose of this study was to investigate the demand of application of e-wallet in domestic retail industry by examining the needs of adoption of small amount paying method and the reasons for customers’ using of IC stored value card in this industry and aimed at providing suggestions on the e-development of small amount paying methods for domestic retail and banking industries. This study was developed in a way that the model constructs in TAM were adapted to the context of using e-wallets for clinic fees. Scale items on the survey include those measuring perceived usefulness, perceived ease of use, a user's attitude toward using and behavioral intention. The questionnaire contains no identifying information about the individual participants. A total of 320 Taipei City Hospital patients’ feedbacks were collected. Results indicate most of the relationships in the pro-posed model are statistically significant and in the predicted directions. Each observed variables influence with two ways: direct effect and indirect effect, and the total effect is the sum of direct effect and indirect effect. The Main effect of most of these observed variables is direct effect, but the information technology experience with the perceived usefulness. In this study, it could be finding that the perceived usefulness, the perceiver ease of use is positively associated with users’ attitude toward using, and the perceiver ease of use is positively associated with the perceived usefulness. It means the useful and easily operation of payment clinic fees with e-wallet products (such as Tai-pei Easy Card) is very important for the users. Besides, the easier for e-wallet using, the more people think it is usefulness. This suggestion is the same as the point at issue of Davis. The users’ attitude toward using is positively associated with the behavioral intention of using.

Fear of AI: an inquiry into the adoption of autonomous cars in spite of fear, and a theoretical framework for the study of artificial intelligence technology acceptance

Artificial intelligence (AI) is becoming part of the everyday. During this transition, people’s intention to use AI technologies is still unclear and emotions such as fear are influencing it. In this paper, we focus on autonomous cars to first verify empirically the extent to which people fear AI and then examine the impact that fear has on their intention to use AI-driven vehicles. Our research is based on a systematic survey and it reveals that while individuals are largely afraid of cars that are driven by AI, they are nonetheless willing to adopt this technology as soon as possible. To explain this tension, we extend our analysis beyond just fear and show that people also believe that AI-driven cars will generate many individual, urban and global benefits. Subsequently, we employ our empirical findings as the foundations of a theoretical framework meant to illustrate the main factors that people ponder when they consider the use of AI tech. In addition to offering a comprehensive theoretical framework for the study of AI technology acceptance, this paper provides a nuanced understanding of the tension that exists between the fear and adoption of AI, capturing what exactly people fear and intend to do.

Predicting the secondary school students’ intention to use e-learning technologies

Technology acceptance studies are interesting because they are practical and theoretically helpful in explaining the adoption and intention to use a particular technology. There is a large amount of research on e-learning and other technologies in the literature, but there is limited evidence to explain why secondary school students’ intention to use e-learning. This study explains secondary school students’ intentions to use e-learning with an extended Technology Acceptance Model (TAM). TAM is a useful theory to explain how people adopt new technologies in different fields. Data were collected from 2739 secondary school students in Turkey (Mage = 11.95). Confirmatory factor analysis (CFA) and structural equation modelling (SEM) were used to test the conceptual model. The results are consistent with the original TAM model. The most critical variable affecting secondary school students’ intention to use e-learning technologies is enjoyment. The results show that there may be differences in the intention to use e-learning technologies for secondary school students in different cultures and contexts.

Understanding Chinese secondary school students’ perceptions of mobile-assisted language learning

ABSTRACT Given the paucity of research on mobile-assisted language learning (MALL) in secondary schools in China, this retrospective case study explored the psychological processes underlying the non-voluntary MALL experiences of Chinese secondary school students during a lockdown to contain the spread of COVID-19. Drawing on prior technology acceptance studies, we proposed a research model comprising nine latent constructs, and tested it with data collected through a questionnaire survey (N = 265). The results of a structural modeling test showed that subjective norms and attitudes toward MALL were significant predictors of the behavioral intention to use it, whereas perceived usefulness and perceived ease of use mediated other factors that influence attitudes. The findings support the use of the technology acceptance model in investigating MALL acceptance. Implications for the better implementation of MALL, especially in the context of secondary schools in China are also discussed.

CHATBOTS IN THE WORKPLACE: A TECHNOLOGY ACCEPTANCE STUDY APPLYING USES AND GRATIFICATIONS IN COWORKING SPACES

ABSTRACT The uses and gratifications approach is used to examine chatbot acceptance in coworking spaces, identifying how coworkers perceive the technology and may use it to facilitate their tasks. To do so, potential influence factors shaping technology acceptance are explored, and a sample of 101 German coworkers is employed to confirm the framework drawing on a quantitative combination of partial least squares structural equation modeling and necessary condition analysis. Instrumental and non-instrumental gratifications, as well as social norm, influence chatbot acceptance in the form of sufficient and necessary conditions, and social norm appears to have a more substantial impact than hedonic factors in terms of sufficiency. However, social norm is not a necessary condition. A moderator analysis reveals that privacy concerns, age and gender do not affect individuals’ intention to use a chatbot. Coworking space providers thus benefit from establishing a standard chatbot solution to leverage social norm, and the chosen solution needs to fulfill hedonic expectations in addition to being useful. Software vendors may also integrate dedicated interfaces to powerful solutions such as ChatGPT.

Pre-service EFL teachers’ motivational beliefs about instructional use of technology: development and validation of a scale

This article presents the development and validation of the Pre-Service EFL Teachers’ Motivational Beliefs about Instructional Use of Technology scale (PTMB-EFL) using a randomly split sample. Confirmatory factor analysis supported a 23-item six-factor structure of the PTMB-EFL generated from exploratory factor analysis. Significant correlations between the PTMB-EFL factors and teachers’ perceived actual classroom technology use practices supported the concurrent validity of the PTMB-EFL. A second-order confirmatory factor analysis further provided empirical evidence to consider motivational beliefs about instructional use of technology as a unitary construct with six correlated but distinct motivational belief factors. In addition, unlike previous technology acceptance studies, this study revealed that among the six types of motivational beliefs, growth mindset was the strongest predictor of perceived actual classroom technology use practices. The PTMB-EFL can be used as an evaluation tool to appraise pre-service EFL or ESL teacher technology-based English teaching experience during their practicum, and as a research tool to investigate more associations between instructional use of technology and other contextual and teacher factors.

Sustaining the Well-Being of Wearable Technology Users: Leveraging SEM-Based IPMA and VIKOR Analyses to Gain Deeper Insights

Wearable technology is a self-contained computer system that can record muscular activity data. Wearable technologies are rapidly evolving that have the potential to enhance the well-being of healthier lives. However, wearable technologies are finding slow adoption rates relative to mainstream technologies such as smartphones. Consequently, both designers and manufacturers are increasingly interested in key decision factors that influence the acceptance of these technologies. As discussions relating to wearable technologies are often approached from different perspectives, a general framework featuring not only a synthesis of general acceptance issues but also with consideration of contingent factors would be a useful research undertaking. Furthermore, wearable technology acceptance studies are insufficient to supplement practical implementation and promotion issues. In this regard, methods for further analysis of results from structural equation modeling (SEM), such as importance-performance map analysis (IPMA) and VIKOR for multi-criteria optimization and compromise solution, can be used to derive greater insights. The primary research findings are extensively discussed, and practical promotion strategies for wearable technologies for health care are suggested.

THE ACCEPTANCE OF GOOGLE MEET PLATFORM: AN ASSESSMENT OF STUDENTS’ PERCEPTION

The spread of COVID-19 has changed the way education was conducted. Online learning is widely used to overcome the spread of the virus and adapt with the new norms. Video conferencing through Google Meet platform is one of the ways to conduct online learning. Therefore, the purpose of this study is to determine factors influencing the acceptance of Google Meet platform for learning sessions. Technology Acceptance Model (TAM) was used as a theoretical model for this study since it is widely used in the study of technology acceptance. The data was collected using questionnaires that had been distributed to students who were involved in a teaching and learning session for December 2020 at Kolej Komuniti Bagan Datuk. The finding of this study stated that there is positive medium correlation between these independent variables (perceived usefulness and perceived ease of use) and the acceptance of Google Meet platform. This means, when students perceive Google Meet is useful and easy to use, they will accept it. This study helps instructors to recognize the effectiveness of the Google Meet platform used in delivering their classes.

THE INTERRELATIONSHIP AMONG THE COMPONENTS OF STUDENTS’ INTERNET INSIGHT AS AN ACADEMIC RESOURCE TOOL IN KENYAN UNIVERSITIES

Purpose: The aim of this paper was to determine the interrelationship among the components of students’ internet insight as an academic resource tool in universities based in Kenya.
 Methodology: The study was conducted in Moi University and Daystar University. The study was based on the Social learning theory by Bandura focusing on internet self-efficacy and supplemented by Technology acceptance model by Davies. Quantitative research approach was undertaken. An ex post facto research survey design was adopted. The researcher used a representative sample of 435 (Moi University) and 175 (Daystar University)adding up to 610 Third year student teachers of the academic year 2015/2016 drawn from School of Education in the two universities. Stratified sampling was used to categorize students by gender from each stratum; participants were chosen randomly. Questionnaires were used as instruments of data collection. Content validity was established by use of expert judgment in the school of education. Test re-test method was applied to check if the instruments that collected data were reliable. Descriptive and inferential statistics were applied to analyze data. In descriptive statistics data frequencies, percentages and mean was used. Analysis of variance (ANOVA), Chi square and Post hoc tests were used to test the hypotheses.
 Results: The findings indicated that more participants concurred with almost all accounts on internet knowledge, self-efficacy, perceived internet usefulness and perceived internet ease of use.
 Unique contribution to theory, practice and policy: The results of the paper are useful in designing educational programs in Kenyan institutions of higher learning and also, present a platform to close the gap of knowledge in digital divide field which is used later in technology acceptance studies.

INFLUENCE OF TYPE OF UNIVERSITY ON STUDENTS’ INTERNET INSIGHT AS AN ACADEMIC RESOURCE TOOL IN KENYAN UNIVERSITIES

Purpose: The aim of the paper is to find out the impact of type of university on the insight students have about the internet as a learning tool in universities based in Kenya.
 Methodology: Quantitative research approach was undertaken. An ex post facto research survey design was adopted. The researcher used a representative sample of 435 (Moi University) and 175 (Daystar University)adding up to 610 Third year student teachers of the academic year 2015/2016 drawn from School of Education in the two universities. Stratified sampling was used to categorize students by gender from each stratum; participants were chosen randomly. Questionnaires were used as instruments of data collection. Content validity was established by use of expert judgment in the school of education. Test re-test method was used to establish the reliability of instruments of data collection. Descriptive and inferential statistics were applied for data analysis. The inferential statistics used was mean, data frequencies and percentages. Several tests were used to test the hypothesis, that is, Post hoc, Chi square and Analysis of variance.
 Results: The study findings indicated no significant relationship between university type and internet knowledge, perceived internet ease of use and internet self-efficacy.
 Unique contribution to practice, theory, and strategy: The outcome of the study is useful in designing educational programs in Kenyan institutions of higher learning and also, creates an avenue to link the knowledge gap in digital divide research field, to be used later for technology acceptance studies.

Consumer-centric factors for the implementation of smart meters in South Africa

Smart meter implementation is still in its infancy in many African countries, including South Africa. This is evident from the fact that most research studies are either Eurocentric or American-centric. Hence, this research aimed to identify consumer-centric factors for planning considerations in implementation of smart meters in South Africa. We used various behavioural theoretical models found in literature to identify potential factors relevant to this study. Based on quantitatively gathered data (n = 705), a structural equation model (SEM) was used to evaluate the identified factors. This study found that only ten consumer-centric factors were significant to smart meter consumers. These factors include behavioural intention, attitude, trust in technology, social norms, facilitating conditions, perceived usefulness, perceived ease of use, privacy risk, monetary cost, and perceived value. In conclusion, the study shows that not all factors suggested within the European and American context are relevant for smart meter implementation within the South African context. Hence, results of this study hold some practical implications in assisting utility companies in identifying consumer-centric factors that are relevant to the South African population. Finally, consumer-centric factors can be used by policy makers and energy regulators as baseline factors for future pervasive technology acceptance studies.

Determinants of Online Assessment Adoption in a Technical College

Higher education institutions have switched from the traditional paper-based assessment to online assessment in the last decade, and it is worthwhile to examine how the users have perceived such a change. While many technology acceptance studies focused on students as participants, this study examines the lecturers' perception of online assessment. The Unified Theory of Acceptance and Use of Technology model (UTAUT) has been widely adapted for technology acceptance studies, and it is suitable for the study on online assessment systems. Unlike the findings from the original UTAUT model, performance expectancy did not have a significant effect on behavioral intention. A new relationship was found between Social Influence and Use Behavior. The UTAUT was extended with Usability, Learnability and Attitude as additional constructs. An essential aspect of this study ascertained that attitude, a construct that was absent in the original model, has a significant effect on behavioral intention.

An Empirical Study of Renewable Energy Technology Acceptance in Ghana Using an Extended Technology Acceptance Model

Energy consumption, and its impact on the environment, has become an increased focal point in Ghana, a sub-Saharan African country, following population growth and rapid urbanization. Ghana has high potential for renewable energy generation; nevertheless, low acceptance and usage have been found. An extensive study is required to understand the causes driving poor acceptability and the intentions to use renewable energy. This study aims to empirically investigate the acceptance of renewable energy using an extended technology acceptance model (TAM). A cross-sectional survey was conducted, from 1 February 2021 to 30 June 2021, using a self-administered questionnaire. The survey was carried out on Ghanaian adults of the age 18 years and above. Data was collected from 1068 respondents from Ghana’s northern and southern parts and analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS software. The results of the data analysis reveal that environmental awareness is the biggest predictor of the intention to use renewable energy in Ghana. Perceived affordability was also found to be the most significant predictor of attitudes towards the use of renewable energy in Ghana. The findings of this research will give policymakers, manufacturers, and the providers of renewable energy appliances a better understanding of the factors that determine the intention to use renewable energy.