scholarly journals Factors Affecting Photovoltaic Solar Technology Usage Intention among Households in Malaysia: Model Integration and Empirical Validation

2021 ◽  
Vol 13 (4) ◽  
pp. 1773
Author(s):  
Syed Shah Alam ◽  
Maisarah Ahmad ◽  
Abdullah Sanusi Othman ◽  
Zullina Bt Hussain Shaari ◽  
Mohammad Masukujjaman
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Integrated Model ◽  
Ease Of Use ◽  
Relative Advantage ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
Intent To Use ◽  
Acceptance Model ◽  
Solar Technology

The objective of this research is to identify the antecedents affecting the behavioural intentions of local housing residences in using photovoltaic (PV) solar technology in their houses. An integrated model of behavioural intention to use PV solar technology is tested in this research. This study combined the theory of reason action (TRA), technology acceptance model (TAM), theory of planned behaviour (TPB) and diffusion of innovation (DOI) theory. Additional factors, including cost, awareness, and government initiatives, are also included in this model. The proposed model findings are based on empirical data from a sample of 382 residences in Malaysia. This study postulates that the intent to use PV solar technology is predicted by trialability, compatibility, perceived ease of use, relative advantage, observability, perceived behavioural control, attitude, subjective norms, cost, government initiatives, and level of awareness towards photovoltaic technology. The integrated model achieves 54% variance explained for usage intention of PV solar technology among housing residences in Malaysia. The findings suggest an integrated model for the acceptance intention of PV solar technology, which can assist stakeholders in planning, evaluating, and executing PV solar technology.

The Case of Electronic Approval System

2011 ◽  
pp. 269-285
Author(s):  
Sinawong Sang ◽  
Jeong-Dong Lee ◽  
Jongsu LeeSeoul
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Future Research ◽  
Perceived Ease Of Use ◽  
User Adoption ◽  
Acceptance Model

The purpose of this study is to assess and test the factors that influence user adoption of e-Government services: the Electronic Approval System (EAS). This study uses the Technology Acceptance Model (TAM), the extended TAM (TAM2), the Diffusion of Innovation (DOI), and trust to build a parsimonious yet comprehensive model of factors that influence user acceptance of the EAS. We collected data from a total of 112 public officers in 12 ministries in Cambodia. We assessed the model with regression analyses. The findings in this article show that the determinants of the model (perceived usefulness, relative advantage, and trust) explain 30.5% of the variance in user acceptance of the EAS. At the same time, image, output quality, and perceived ease of use explain 38.4% of the variance in user perception of the usefulness of the EAS. In this article, we discuss our findings, implications, and suggestions for future research.

FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR

2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Electronic Money ◽  
Factors Affecting ◽  
Acceptance Model

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.

Postgraduate Students’ Perceived E-Learning Acceptance

2013 ◽  
Vol 4 (3) ◽  
pp. 51-60
Author(s):  
M. R. K. N. Yatigammana ◽  
Md. Gapar Md. Johar ◽  
Chandra Gunawardhana
Keyword(s):  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Perceived Ease Of Use ◽  
Postgraduate Students ◽  
Geographically Dispersed ◽  
Postgraduate Studies ◽  
E Learning ◽  
Acceptance Model

E-learning is a method of delivering knowledge using information technology and electronic media for the remote users. The advantages of e-learning method can be fully achieved with the postgraduate studies as majority of the postgraduate students are engaged in learning while they are working and also geographically dispersed due to the family and work life thus physically appearing for the lecture sessions are difficult to them. This paper attempts to develop a framework to measure the postgraduate students’ perceived technology acceptance by developing a modified version of the Technology Acceptance Model (TAM) which replaces perceived usefulness and perceived ease of use in the original model of TAM with relative advantage and complexity and incorporate other variables of trialability, observability, compatibility, psychological wellbeing and social influence of the students. The developed model is validated using 30 postgraduate students from Sri Lanka and thus this model can be used in future researchers to measure the perceived e-learning acceptance of postgraduate students.

Technology Acceptance Model

2007 ◽  
pp. 306-308
Author(s):  
M. McCord
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
Employee Performance ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Intent To Use ◽  
Acceptance Model

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.

Factors Affecting University Students' Use of Moodle

2017 ◽  
Vol 13 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Daniel Danso Essel ◽  
Osafo Apeanti Wilson
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Teaching And Learning ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Management Systems ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
Acceptance Model ◽  
The University

Higher education institutions are faced with the complex challenges of serving increased enrollment levels within tight budgets. This challenge is prompting many universities to explore new approaches including the use of Learning Management Systems (LMS) such as Moodle for delivering courses to help extend teaching and learning beyond the classroom. Using Technology Acceptance Model (TAM) as an underlying theory, this study investigated students' perceived usefulness as well as the perceived ease of use of Moodle in the University of Education, Winneba in Ghana. The study also used multiple linear regression to determine if these factors have any impact on the rate at which students use Moodle. Data was collected from a random sample of 229 students from the Faculty of Science Education using a questionnaire. The analysis revealed that students' perceived usefulness of Moodle and perceived challenges in using Moodle combined contributes significantly to students' rate of Moodle use.

scholarly journals THE USE OF INFORMATION COMMUNICATION TECHNOLOGY (ICT) AS THE TECHNOLOGY ACCEPTANCE MODEL (TAM) OF MOBILE BANKING

2018 ◽  
Vol 9 (2) ◽  
pp. 283
Author(s):  
Paulus Yokie Radnan ◽  
John Tampil Purba
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Mobile Banking ◽  
Perceived Ease Of Use ◽  
Improvement Strategy ◽  
Information Technology Services ◽  
Intent To Use ◽  
Technology Services ◽  
Acceptance Model

<em>Information Technology services in banking business which is very dynamic and advanced makes the bankers must adjust to the presence of this technology. In this paper, the authors will explain the role of Mobile banking technology which is provided by CIMB Niaga in servicing its customers for banking transactions. The methodology used in this paper is quantitative with the purposive sampling one. Instrument used the Technology Acceptance Model (TAM) as developed by Parasuraman and Davis by modifying them to fit the state of the research object. This research was conducted in Jakarta and several other places. Research and data collection took 6 months from November 2015 to April 2016. The variables included trust, perceived use (PU), perceived ease of use (PEU), attitude toward use (ATU), Intent to use (ITU), and actual use (AU). After the data were collected, the regression analysis was performed. From the analysis result it was found that trust and perceived use (PU) variables did not positively and significantly influence the intent to use (ITU) variable, as well as the perceived use variables (PU) and perceived ease of use (PEU) which have no significant and positive effect on attitude variable on usage (ATU). For that case, the authors propose an improvement strategy to maintain and grow this business forward.</em>

scholarly journals Validating Pupils’ Behaviour Intention to Use E-Book Technology in their Learning

2018 ◽  
Vol 7 (2.29) ◽  
pp. 511
Author(s):  
Moamar Elyazgi
Keyword(s):  
Technology Acceptance ◽  
Convergent Validity ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Face Validity ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
Perceived Enjoyment ◽  
Acceptance Model

The purpose of this study was to develop and validate a new learning environments instrument designed to aid investigators and practitioners in measuring and researching the pupils’ behaviour intention to use e-book technology. The use of e-book technology in schools is now ubiquitous, but the effectiveness on the learning environment has mixed results. This study intends to investigate factors affecting pupils’ behavioural intentions to use the e-book technology. Integrating Child Computer Interaction (CCI) factors such as usability and interface with the Technology Acceptance Model (TAM) factors such as Perceived Enjoyment (PE),  Perceived Ease of Use (PEOU), Perceived Usefulness (PU) and Behaviour Intention (BI). Using e-book technology acceptance survey was developed, field-tested with 40 pupils from school aged 10-17 years  and then validated. The proposed questionnaire has 33 items allocated to six scales: (1) Usability; (2) interface; (3) Perceived Enjoyment; (4) Perceived Ease of Use; (5) Perceived Usefulness and (6) Behaviour Intention. The proposed questionnaire was administered to pupils in the schools. Six experts in the field of computer science, information system and technology to justify it, especially in relation to the elements of each concept, assessed content validity or face validity of the questionnaire. Then alpha reliability, convergent validity and discernment validity have been calculated in this study.   The questionnaire of e-book technology acceptance has strong evaluative and discriminative properties and can be used with confidence to measure the e-book acceptance for pupils.  

scholarly journals Factors Affecting Indonesian Pre-Service Teachers’ Use of m-LMS: A Mix Method Study

2020 ◽  
Vol 14 (06) ◽  
pp. 137
Author(s):  
Aman Aman ◽  
Lantip Diat Prasojo ◽  
Muhammad Sofwan ◽  
Amirul Mukminin ◽  
Akhmad Habibi ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Teacher Development ◽  
Teacher Educators ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
The Difference ◽  
Acceptance Model ◽  
Supporting Condition

The purpose of this research is to investigate factors affecting Indonesian pre-service teachers’ (PSTs) teachers’ use of m-learning management systems (m-LMS) in higher education. The difference regarding the use of m-LMS based on some demographic information namely gender, university, year in university, and age are also reported as well as gaining an in-depth understanding of the use of m-LMS in Indonesian universities. To achieve this, two approaches, quantitative and qualitative, were applied. First, we developed and distributed a survey instrument to 210 students teachers based on the technology acceptance model (TAM). In addition, we interviewed 7 of the PSTs to obtain an in-depth understanding of the use of m-learning in their learning. Some statistical calculations were presented such as mean, standard deviation, Cronbach’s alpha, t-test, and ANOVA. Findings suggest that PSTs’ use m-LMS are related to their Perceived usefulness and perceived ease of use, Subjective norm and attitudes Self-efficacy and supporting condition. From these results, we recommend that teacher educators should target these factors within teacher development programs to prepare PSTs for successful use of m-LMS.

scholarly journals Understanding the Drivers of Cloud-Based Service Adoption and Their Impact on the Organizational Performance

2020 ◽  
Vol 28 (1) ◽  
pp. 56-85
Author(s):  
Prerna Lal ◽  
Sangeeta Shah Bharadwaj
Keyword(s):  
Technology Acceptance ◽  
Organizational Performance ◽  
Diffusion Of Innovation ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Survey Method ◽  
Perceived Ease Of Use ◽  
The Impact

This study aims to understand the drivers of cloud-based services (CBS) adoption and its impact on the performance of Indian organizations. The conceptual model was developed using diffusion of innovation theory, technology-organization-environment framework, transaction cost economics, technology acceptance model, and balanced scorecard model. This quantitative study collected data from IT experts of 334 Indian organizations using questionnaire survey method. Data analysis using structural equation modelling reveals that among six identified drivers, credibility of cloud service provider has the strongest impact on the decision to adopt CBS, followed by top management attitude, economic flexibility, perceived usefulness, and relative advantage. While perceived ease of use of the CBS was found statistically not significant. Conversely, the impact of CBS adoption was found strongest on the financial performance of the organizations. Further, CBS's adoption drivers and their impact on performance vary significantly on the basis of age and size of the organizations.

scholarly journals “Feeling like a Scientist”: Factors Affecting Students’ Selections of Technology Tools in the Science Classroom

2021 ◽  
Author(s):  
Dean Cairns ◽  
Martina Dickson ◽  
Melissa McMinn
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Science Classroom ◽  
Ease Of Use ◽  
Focus Group Interviews ◽  
Factors Affecting ◽  
Intent To Use ◽  
Group Interviews ◽  
Acceptance Model ◽  
Technological Options

AbstractThis research looked at the choices that children make in the classroom when offered manual and technological options to measure scientific variables. Over 170 school children were involved in science lessons designed in collaboration with school teachers and the research team as part of the planned curriculum. We found that approximately 25% of the students chose the manual measuring options, compared with 75% who chose the technological options. During the focus group interviews (n = 62) carried out immediately after the class, we found that some children who had selected the technological option had done so due to perceptions of the tool’s novelty and “accuracy.” Some later regretted their choice, reasoning that “real” scientists did not use technology, that it would have been more challenging to measure manually, and therefore that they would have “felt more like scientists” had they selected the manual option. Perceptions of ease of use sometimes lowered children’s intent to use the technology option. Similarly, students who chose the manual option alluded to the inauthenticity of the technology option: this is not “what scientists do.” Consequently, students who had selected the manual option were also more likely to describe feeling “like a scientist” when carrying out the measurements. The possible implications of the findings, in terms of a possible inversion of the technology acceptance model for students in the science classroom, are explored.

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