E-Government Acceptance and Trust

2021 ◽  
Vol 12 (2) ◽  
pp. 1-16
Author(s):  
Rania Fakhoury ◽  
Bilal Chebaro
Keyword(s):  
Structural Equation ◽  
Research Direction ◽  
Equation Modeling ◽  
Future Research ◽  
Performance Expectancy ◽  
Significant Relationships ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Shed Light

Lebanon is a small developing market that is making significant investments in e-government technology. The expectation is that it will improve the quality of life and decrease corruption. The current research is survey-based using a structural equation modeling technique that investigates citizens' behavioral intentions towards using e-services and cross-validates a previous study with a new matching data sample. One hundred six questionnaires were analyzed, and findings showed significant relationships between UTAUT2 constructs (performance expectancy, habit, social influence, price value, and trust in the internet) and intention to use e-government services in Lebanon. The results also shed light on e-government adoption inhibitors (effort expectancy, facilitating conditions, hedonic motivation, and trust in government). Therefore, the findings will be beneficial to the Lebanese government to develop and improve the e-services. Despite achieving its aim, this study has its limitations, which constitute the future research direction.

Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Frederick Pobee
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2018 ◽  
Vol 9 (4) ◽  
pp. 86-104
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

scholarly journals FACTORS INFLUENCING REPURCHASE INTENTION IN ONLINE SHOPPING CONTEXT: THE MEDIATING ROLE OF SATISFACTION

2018 ◽  
Vol 2 (1) ◽  
pp. 29-43
Author(s):  
Xin Jean Lim ◽  
Eugene Cheng-Xi Aw ◽  
Kenny Guan-Cheng Teoh
Keyword(s):  
Structural Equation ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Repurchase Intention ◽  
Performance Expectancy ◽  
Factors Influencing ◽  
Effort Expectancy

This study investigates the factors influencing repurchase intention in online shopping context.Self-efficacy and trust were integrated with Unified Theory of Acceptance and Use of Technology (UTAUT) components, namely performance expectancy and effort expectancy in explaining online repurchase intention. It was hypothesized that performance expectancy, effort expectancy, self-efficacy, and trust influence satisfaction and online repurchase intention. Satisfaction was posited to mediate the relationships between the proposed antecedents and online repurchase intention. 211 use able responses were collected through purposive sampling method and the data was analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). All proposed hypotheses were supported except the effects of effort expectancy and performance expectancy on online repurchase intention. All mediating effects of satisfaction proposed were found to be significant. Based on the findings, implications and future research directions were discussed.

The Factors Influencing Taxpayers' Acceptance of E-Taxation System

2015 ◽  
pp. 105-121
Author(s):  
Adnan Gercek ◽  
Tolga Demirbas ◽  
Filiz Giray ◽  
Ayse Oguzlar ◽  
Mehmet Yuce
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Model Performance ◽  
Equation Modeling ◽  
Intention To Use ◽  
Government Services ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Taxation System

E-taxation is one of the most popular e-government services. Most countries are focused on implementing an e-taxation system. The success of an e-taxation system depends on the taxpayers' acceptance of it. The taxpayers' intention to use an e-taxation system is determined by various factors. This chapter, based on empirical data collected from a survey of 505 respondents in Turkey, seeks to identify the factors that influence the taxpayers' acceptance of e-taxation system. It test various constructs of the UTAUT model – performance expectancy, trust perception, perceived risk, effort expectancy and facilitating conditions – on Turkish taxpayers' intention to use the e-taxation system. Structural equation modeling is used to analyze the effects of these variables on intention to use. The results indicate that performance expectancy and perceived risk have a significant impact on behavioral intention and that effort expectancy and facilitating conditions have a significant impact on intention to use.

scholarly journals Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model

SAGE Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 215824402094185
Author(s):  
Liyong Wan ◽  
Shoumei Xie ◽  
Ai Shu
Keyword(s):  
University Students ◽  
User Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Utaut Model ◽  
Mediating Role ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task–technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students’ continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464 respondents, structural equation modeling is adopted to assess the model. The results reveal that performance expectancy, effort expectancy, social influence, and user satisfaction are the crucial predictors of university students’ continued intention. TTF has an indirect influence on continued intention through user satisfaction. Performance expectancy is affected both by effort expectancy and TTF. Facilitating conditions do not directly influence continued intention; however, they present indirect influences in that they play a mediating role for user satisfaction. The findings help researchers and practitioners to attain a better understanding of university students’ continued usage intention of MOOCs. The implications and limitations of this study are also described.

scholarly journals Analisis Behavioral Intention Pada Layanan Aplikasi RCTI+

2020 ◽  
Vol 4 (5) ◽  
pp. 199
Author(s):  
Anggit Mardiana Permatasari ◽  
Hetty Karunia Tunjungsari
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Negative Influence ◽  
Equation Modeling ◽  
Moderator Variable ◽  
Performance Expectancy ◽  
Digital Era ◽  
Effort Expectancy ◽  
Facilitating Conditions

The current era is called the information age, where humans really need information. The existence of the internet on smartphones makes it easier for humans to get information and enjoy content wherever and whenever. One of the content services in Indonesia is the MNC Group's RCTI + application. Although RCTI + is a new company, RCTI + has an active number of users of 302,569 until November 2019. RCTI + has a fairly high market share because the digital era is growing rapidly. This study measures the interest of users of RCTI + applications in Indonesia by using a modified UTAUT2 research model, where researchers analyze the variables Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, and Content on Behavioral Intention. The data used in this study were 89 valid respondents obtained online using a questionnaire. Respondents are users of the RCTI + application. Researchers used Structural Equation Modeling (SEM) with SmartPLS software version 3.0 to test hypotheses. The results showed that Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Habit and Content had an influence on Behavioral Intention. However, Hedonic Motivations has a negative influence on Behavioral Intention. The Age variable as a moderator variable influences Content on Behavioral Intention, while Gender has no effect. This study resulted in an R2 of 0,900 and included in the moderate category. This research, has found that the variable that most influences Behavioral Intention is Habit.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2021 ◽  
pp. 319-340
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

scholarly journals Exploring the Determinants of Students' Satisfaction and Continuance Intention Using Online Learning in Jordan

2021 ◽  
pp. 28-41
Author(s):  
Hadeel Mahmoud Jebril
Keyword(s):  
Online Learning ◽  
Structural Equation ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
School Students ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Students Satisfaction

This research investigates factors affecting online learning satisfaction and continuance intention by Jordan school students. To this end, an integrated model of Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Information System Success (ISS) model has been used. A questionnaire was handed out to students from five Jordanian schools to collect data from 346 students, and the Structural Equation Modeling (SEM) technique was utilized to evaluate the proposed model. The findings indicated that the students' satisfaction is directly influenced by performance expectancy, effort expectancy, facilitating conditions, system quality. Besides, the empirical results showed that the continuance intention is directly influenced by students' satisfaction, performance expectancy, habit, effort expectancy, hedonic motivation, and facilitating conditions. The findings of this study will serve as a valuable resource for educational institutions, decision-makers, developers, and academics looking to enhance online learning systems by identifying the most important factors influencing students' satisfaction and continuance intention.

Individuals' intention to use sports wearables: the moderating role of technophobia

2020 ◽  
Vol 21 (2) ◽  
pp. 225-245 ◽  
Author(s):  
Nilsah Cavdar Aksoy ◽  
Alev Kocak Alan ◽  
Ebru Tumer Kabadayi ◽  
Alican Aksoy
Keyword(s):  
Structural Equation ◽  
Digital Age ◽  
Equation Modeling ◽  
Content Type ◽  
Psychological Constructs ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
The Relationship

PurposeThis study aims to examine the wearable devices market as an essential representative of the digital age using a framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the context of sports wearables.Design/methodology/approach411 people, are both users and non-users of this technology were surveyed online, and the obtained data analyzed using structural equation modeling.FindingsThe results support the effects of performance expectancy, effort expectancy, facilitating conditions, and social influence on attitude toward sports wearables and attitude of usage intention. Further, technophobia moderates the relationship between performance expectancy and attitude. However, a moderating effect of technophobia on the relationship between effort expectancy and attitude was not observed.Originality/valueDue to innovative technologies in the digital age we live in, the devices we use in everyday life have gained intelligence. As more developments take place, and related products enter the market, understanding how people react to these products becomes an important issue. While investigating this issue in the context of sports wearables in this study, an important psychological construct, technophobia, was included in the research model in order to explore the usage intention of individuals through the effects of psychological constructs, such as paranoia, fear, anxiety, cybernetic revolt and cellphone avoidance, and the strong combination of important constructs of phobia to go against technology.

Factors influencing students’ adoption of e-learning: a structural equation modeling approach

2017 ◽  
Vol 10 (2) ◽  
pp. 164-182 ◽  
Author(s):  
Ali Tarhini ◽  
Ra’ed Masa’deh ◽  
Kamla Ali Al-Busaidi ◽  
Ashraf Bany Mohammed ◽  
Mahmoud Maqableh
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Modeling ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
E Learning ◽  
Facilitating Conditions

Purpose This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students. Design/methodology/approach A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy, effort expectancy, hedonic motivation, habit, social influence, price value and facilitating conditions) by incorporating two additional factors, namely, trust and self-efficacy. Data were collected from students at two universities in England using a cross-sectional questionnaire survey between January and March 2015. Findings The results showed that behavioral intention (BI) was significantly influenced by performance expectancy, social influence, habit, hedonic motivation, self-efficacy, effort expectancy and trust, in their order of influencing the strength and explained 70.6 per cent of the variance in behavioral intention. Contrary to expectations, facilitating conditions and price value did not have an influence on behavioral intention. Originality/value The aforementioned factors are considered critical in explaining technology adoption but, to the best of the authors’ knowledge, there has been no study in which all these factors were modeled together. Therefore, this study will contribute to the literature related to social networking adoption by integrating all these variables and the first to be tested in the UK universities.

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