scholarly journals Impact of Motivation on Intentions in Online Learning: Canada vs China

10.28945/3212 ◽  
2008 ◽  
Author(s):  
Raafat Saade ◽  
Weiwei Tan ◽  
Fassil Nebebe
Keyword(s):  
Technology Acceptance ◽  
Empirical Studies ◽  
Developed Countries ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Intention To Use ◽  
Web Based ◽  
Education Planning ◽  
Acceptance Model

This study is one of the few empirical studies to examine students’ acceptance of a web-based learning system (WLS). By incorporating intrinsic motivator into the technology acceptance model, our model attempts to explain students’ behavioral intention in using the system from a motivational perspective. Unlike most studies using subjects from developed countries, this study aims to extend knowledge by examining WLS adoption and usage behavior in a developing country (China) and then compares with findings of the same examination using Canadian subjects. The results show that both perceived usefulness and enjoyment have significant impact on students’ intention to use WLS in two groups. However, in contrast to Chinese subjects, Canadian subjects do not think ease of use has impact on their intention to use WLS. Implications of this study are important for both researchers and practitioners, especially for institutions of higher education, planning to adopt WLS in the two countries.

scholarly journals Factors Affecting the Students' Intention to Use Web-Based Learning System

2017 ◽  
pp. 172-185
Author(s):  
Chong Chin Fook ◽  
Desmond Low Jia Chin ◽  
Lau Yoon Tah ◽  
Mok Chin Teik ◽  
Tee Fang Yuan ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Web Based ◽  
Factors Affecting ◽  
Web Based Learning ◽  
Acceptance Model

This research examines the factors affecting students' intention to use web-based learning system by assessing the Technology Acceptance Model (TAM). Sample was targeted to a public higher learning institution in Federal Territory of Labuan Malaysia, which implemented convenience sampling technique. A total of 204 questionnaire sets were collected and multiple regressions analysis was used in the research to analyze the variables relationships in the theoretical framework proposed. Empirical research confirmed that students' use of web-based learning was positively influenced by attitude towards use, perceived usefulness, perceived ease of use, social influence, facilitating condition, and anxiety. Results may benefits the education and teaching industry in building web-based learning system effectively. The education and teaching industry should increase the quality their own web-based learning system referred to the results based on the variables in order to increase the user to their web-based learning system besides maximizing profit.

scholarly journals IMPACT OF COVID-19 PANDEMIC ON ACCEPTANCE OF E-LEARNING SYSTEM IN JORDAN: A CASE OF TRANSFORMING THE TRADITIONAL EDUCATION SYSTEMS

2020 ◽  
Vol 8 (4) ◽  
pp. 840-851
Author(s):  
Manaf Al-Okaily ◽  
Hamza M Alqudah ◽  
Ali Matar ◽  
Abdalwali Lutfi ◽  
Abdallah Taamneh
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Mediation Effect ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
E Learning ◽  
Acceptance Model

Purpose of the study: This paper aimed at investigating factors influencing students’ intention to use e-learning within the context of Jordan. The proposed model integrated subjective norms with the extended Technology Acceptance Model (TAM). Methodology: The data collected 587 students from Jadara University. Data were analyzed using Partial Least Squares - Structural Equation Modelling (PLS-SEM). Main Findings: The result has confirmed the direct effect of all variables. Next, the result has also shown that the mediation effect of perceived usefulness and perceived ease of use between subjective norm and the behavioral intention to use the E-learning system was partially supported. Applications of this study: The results of the current work may contribute to the improvement of the existing literature in the e-learning acceptance fields, and can be applied as an essential input for the development of the recent e-learning training programs. Novelty/Originality of this study: The present work is intended to conclude a series of concrete research data as well as to contribute a new angle to the existing literature on students’ perception of the e-learning system.  

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.

scholarly journals Analysis of E-Marketplace Use in East Java’s MSMEs Using the Technology Acceptance Model Approach

2021 ◽  
Author(s):  
Rurid Dwi Anggraeny ◽  
Imam Baihaqi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Technology Use ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The e-commerce industry has the potential to be one of the drivers of the domestic economy. One of the impacts of the advancement of e-commerce is the emergence of many online-based marketplaces or so-called e-marketplaces. However, a lot of these online marketplaces sell 90% imported products. In addition, the outbreak of Covid-19 in Indonesia has prompted the government to establish several policies that have significantly reduced MSME performance by up to 70-100%. This study aimed to provide an empirical analysis of the influence of factors based on the Technology of Acceptance Model (TAM) approach, namely e-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces. The sample consisted of MSMEs in East Java, especially those engaged in the food and beverage industry sector with ready-to-eat processed food products whose business activities use the Shopee e-marketplace application platform. This is an online shopping marketplace focused on mobile platforms. There were 150 respondents. The Structural Equation Model (SEM) was used. E-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces all had positive effects on each other. This showed that a system that offers convenience will improve behavior, habits, and performance for MSMEs in using e-marketplace activities. The theoretical and methodological implications and opportunities for further research are discussed. Keywords: MSMEs, e-marketplace, technology acceptance model

Validating the TAM model in Haryana state of India: During COVID-19

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
komal Goyal ◽  
Ashutosh Nigam ◽  
Neha Goyal ◽  
Manisha Goyal
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
E Learning ◽  
Continuous Usage Intention ◽  
Acceptance Model

Purpose -Response to the sudden pandemic, COVID-19 drastic shift of work practices requires the implementation of an e-learning system, but their adoption requires a thorough understanding of the user acceptance process. Our key effort is to incorporate a framework, “internet experience” to determine the existing Technology Acceptance Model (TAM) applicability in describing students’ s e-learning decisions in Haryana state. Design/methodology- The researcher has administered a questionnaire based on TAM’s constructs and collected data from UG and PG students of Haryana state of India. Findings – The results revealed that perceived usefulness (PU) has a significant positive relationship with continuous usage intention (CUI) whilst, perceived ease of use (PEOU), computer self-efficacy (CSE) and internet experience (IE) have not. Attitude towards E-learning system (ATELS) has found no relevance in this model. Originality/value Majority research has been done using the TAM model in a developed nation. Empirical study has not been done in Haryana state so far.

A comprehensive acceptance model for smart home services

2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh
Keyword(s):  
Technology Acceptance ◽  
Smart Home ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

What Predicts Commercial Bank Leaders’ Intention to Use Mobile Commerce?

2013 ◽  
pp. 151-170 ◽  
Author(s):  
Maddy Halbach ◽  
Tao Gong
Keyword(s):  
Technology Acceptance ◽  
Leadership Behaviors ◽  
Resistance To Change ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Behavioral Intent ◽  
Intent To Use ◽  
Acceptance Model

The purpose of this study was to investigate the roles leadership behaviors have on technology acceptance models, focusing on bank leaders’ intention to use mobile-commerce. The study included responses from 101 senior-level managers working at FDIC-insured commercial banks in the United States. Three instruments including Kouzes and Posner’s (1987) leadership practice inventory (LPI), Wu and Wang’s (2005) mobile commerce technology acceptance model (MC-TAM), and Oreg’s (2003) resistance to change model (RTC) were employed. A correlation analysis revealed that two transformational leadership behaviors—model the way and enabling others to act—positively relate to behavioral intent to use mobile commerce. A regression analysis found that perceived compatibility, perceived usefulness, and perceived ease of use are positively related to the behavioral intent to use m-Commerce. However, the authors found that the RTC and LPI model cannot predict the willingness to use m-Commerce.

The Technology Acceptance Model

2008 ◽  
pp. 1088-1100 ◽  
Author(s):  
Qingxiong Ma ◽  
Liping Liu
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Empirical Studies ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Applied Model ◽  
Acceptance Model

The technology acceptance model proposes that perceived ease of use and perceived usefulness predict the acceptance of information technology. Since its inception, the model has been tested with various applications in tens of studies and has become the most widely applied model of user acceptance and usage. Nevertheless, the reported findings on the model are mixed in terms of statistical significance, direction, and magnitude. In this study, we conducted a meta-analysis based on 26 selected empirical studies in order to synthesize the empirical evidence. The results suggest that both the correlation between usefulness and acceptance, and that between usefulness and ease of use are somewhat strong. However, the relationship between ease of use and acceptance is weak, and its significance does not pass the fail-safe test.

The Role of Internet Self-Efficacy in Acceptance of Web-Based Electronic Medical Records

2011 ◽  
pp. 54-76 ◽  
Author(s):  
Qingxiong Ma ◽  
Liping Liu
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Record System ◽  
Web Based ◽  
Medical Record System ◽  
Acceptance Model

The technology acceptance model (TAM) stipulates that both perceived ease of use (PEOU) and perceived usefulness (PU) directly influence the end user’s behavioral intention (BI) to accept a technology. Studies have found that self-efficacy is an important determinant of PEOU. However, there has been no research examining the relationship between self-efficacy and BI. The studies on the effect of self-efficacy on PU are also rare, and findings are inconsistent. In this study, we incorporate Internet self-efficacy (ISE) into the TAM as an antecedent to PU, PEOU, and BI. We conducted a controlled experiment involving a Web-based medical record system and 86 healthcare subjects. We analyzed both direct and indirect effects of ISE on PEOU, PU, and BI using hierarchical regressions. We found that ISE explained 48% of the variation in PEOU. We also found that ISE and PEOU together explained 50% of the variation in PU, and the full model explained 80% of the variance in BI.

E-Government Services Adoption

2018 ◽  
Vol 14 (3) ◽  
pp. 12-31 ◽  
Author(s):  
Isaac Kofi Mensah
Keyword(s):  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Government Services ◽  
Research Article ◽  
Actual Use ◽  
The Government ◽  
Acceptance Model

This research article explores the important elements of trust and transparency to the adoption of e-government services. The Technology Acceptance Model was used as the theoretical framework. The data capture and analyses were conducted with SPSS. The results indicate that trust in the internet was a significant predictor of both the intention to use and perceived ease of use (PEOU), but was not significant in predicting perceived usefulness (PU) and the actual use (AU) of e-government services. Trust in the government (TG) was also not significant in determining both the intention to use and PEOU of e-government services. Rather TG had a significant impact on PU and the actual use (AU) of e-government services. Furthermore, perceived transparency was a significant predictor of PU, IU, and AU of e-government services. The implications of these findings on the implementation of e-government are thoroughly discussed.

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