Citizens' E-Government Services Adoption

2014 ◽  
Vol 1 (2) ◽  
pp. 80-96 ◽  
Author(s):  
Wadie Nasri
Keyword(s):  
Structural Equation ◽  
Policy Decision ◽  
Equation Modeling ◽  
Government Services ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Modeling Analysis ◽  
Proposed Model ◽  
Effort Expectancy ◽  
And Performance

This study investigates the factors that influencing citizens' intention to use e-government services and its causal relationships using the Unified Theory of Acceptance and Use of Technology model (UTAUT). Data relating to the constructs were collected from 150 respondents but only 85 responses were received and subjected to Structural Equation Modeling analysis (SEM). The proposed model fits the data well. The findings reveal that facilitating condition, social influence, attitude, effort expectancy and performance expectancy determine citizens' intention towards e-government services. Additionally, attitude is predicted jointly by effort expectancy and performance expectancy. This study would help government policy decision makers to increase the adoption of e-government services in Tunisia country.

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.

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.

A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption

2019 ◽  
Vol 21 (4) ◽  
pp. 419-438 ◽  
Author(s):  
Shamim Talukder ◽  
Raymond Chiong ◽  
Sandeep Dhakal ◽  
Golam Sorwar ◽  
Yukun Bao
Keyword(s):  
Neural Network ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Government Service ◽  
Content Type ◽  
Service Adoption ◽  
Government Services ◽  
Performance Expectancy ◽  
And Performance

Purpose Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context. Design/methodology/approach The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services. Findings The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services. Research limitations/implications Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems. Originality/value This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.

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.

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.

Effects of trust and perceived risk on user acceptance of a new technology service

2013 ◽  
Vol 41 (4) ◽  
pp. 587-597 ◽  
Author(s):  
Ji-Hwan Lee ◽  
Chi-Hoon Song
Keyword(s):  
Social Influence ◽  
Perceived Risk ◽  
Structural Equation ◽  
New Technology ◽  
Equation Modeling ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
The Republic

We explored the precise impacts of trust and perceived risk on the core constructs of the unified theory of acceptance and use of technology (UTAUT). We applied the UTAUT model to the novel context of the Certified e-Document Authority (CeDA) service used in the Republic of Korea. Our results from structural equation modeling largely supported our hypotheses. Trust and perceived risk were shown to be direct antecedents of intention to use, and trust functioned as an indirect antecedent. Performance expectancy and social influence were shown to positively affect behavioral intention. Effort expectancy was also shown to influence performance expectancy. The combination of trust, perceived risk, performance expectancy, effort expectancy, and social influence accounted for 55.3% of the variance observed in users' intention to use CeDA services.

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.

What Influences Internet-Based Learning?

2011 ◽  
Vol 39 (7) ◽  
pp. 887-896 ◽  
Author(s):  
Pei -Wen Liao ◽  
Jun Yi Hsieh
Keyword(s):  
Structural Equation ◽  
Equation Modeling ◽  
Research Model ◽  
Performance Expectancy ◽  
Expectancy Effect ◽  
Predicting Performance ◽  
Perceived Playfulness ◽  
Proposed Model ◽  
And Performance ◽  
The Impact

The aim in this study was to determine whether Internet-based learning is affected by perceived playfulness, satisfaction, and the performance expectancy effect. The performance expectancy of students based on experience may also be generated directly by the target that caused the emotions. Thus, we used perceived playfulness to explore the impact of performance expectancy. Data collected from 600 university students in Taiwan were tested against the research model using structural equation modeling. The results strongly support the proposed model in predicting performance expectancy when using Internet-based learning. Several implications for social influence, perceived playfulness, satisfaction, and performance expectancy research in relation to Internet-based learning are discussed.

Role of gender on Intention to adopt mobile payments among generation Z

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Sonal Purohit ◽  
Rakhi Arora
Keyword(s):  
Undergraduate Students ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mobile Payments ◽  
Intention To Adopt ◽  
Generation Z ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Value Propositions ◽  
Males And Females

The purpose of this paper was to examine the intention to adopt mobile payments among male and female customers of generation Z by surveying 365 undergraduate students and applying the Unified theory of acceptance and use of technology (UTAUT). The Structural equation modeling analysis using the SmartPLS revealed that social influence was the most significant predictor of intention to adopt mobile payments among both males and females. The male is significantly influenced by the performance expectancy and effort expectancy whereas the females are significantly influenced by the effort expectancy and price value factors. For sustainable adoption among the males and females in generation Z, the managers should create differentiated value propositions by focusing on utilitarian benefits and simplicity of use for the males and females respectively.

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