The Effect of Trust and Risk Perception on Citizen's Intention to Adopt and Use E-Government Services in Jordan

doi:10.4236/JSSM.2015.83031

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The Effect of Trust and Risk Perception on Citizen's Intention to Adopt and Use E-Government Services in Jordan

Journal Article•DOI•

The Effect of Trust and Risk Perception on Citizen's Intention to Adopt and Use E-Government Services in Jordan

Adel Al Khattab, Hasan Al-Shalabi, Mahmaoud Al-Rawad, Khamis Al-Khattab, Faten Hamad - Show less +1 more

07 May 2015-Journal of Service Science and Management (Scientific Research Publishing)-Vol. 08, Iss: 3, pp 279-290

TL;DR: In this paper, a study was conducted with the primary aim of identifying, examining and providing an understanding of the factors that could affect citizens' intention to adopt and use e-government services in Jordan.

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Abstract: This study was undertaken with the primary aim of identifying, examining and providing an understanding of the factors that could affect citizens’ intention to adopt and use e-government services in Jordan. The preliminary research model used here had been developed from the Technology Acceptance Model by incorporating additional constructs from other models, namely web trust and perceived risk. A self-administered questionnaire was completed by the selected sample. The response rate was 42.5 percent. The data were analyzed using parametric statistics including ANOVA and MANOVA. The finding of this study revealed that there were four main factors that affected citizens’ intention to engage in electronic government services; these were perceived ease of use, perceived usefulness, perceived risk, and trust in electronic channels. A practical implication of the findings and conclusions of this study was that governments were urged to take into account the importance of perceived usefulness, perceived ease of use, trust and perceived risk in influencing the intention of citizens to use e-government services. This study was the first to provide important information on factors affecting citizens’ intention to adopt and use electronic government services in Jordan.

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Journal Article•DOI•

Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China

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Yan Li¹, Huping Shang²•Institutions (2)

Dalian University of Technology¹, Nankai University²

01 Apr 2020-Information & Management

TL;DR: A chain model of e-government service quality, perceived value, and citizens’ continuous-use intention is developed to explain the relationship between government website service quality and perceived value as well as how that relationship influences Citizens’ reuse intention.

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161 citations

E-government adoption

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H.P.M. Jägers, R.M. Jansen, V.L. van der Waal

01 Jan 2003

80 citations

Journal Article•DOI•

Privacy, security, trust, risk and optimism bias in e-government use: The case of two Southern African Development Community countries

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Willard Munyoka¹, Manoj Maharaj²•Institutions (2)

University of Venda¹, University of KwaZulu-Natal²

14 Mar 2019-SA Journal of Information Management

TL;DR: In this paper, the effect of privacy, security, trust, optimism bias and perceived risk on citizens' use behavior of e-government systems in the Southern African Development Community (SADC) was investigated.

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Abstract: Background: Many Southern African Development Community (SADC) countries are adopting and implementing e-government systems to improve the efficiency and effectiveness of their service delivery systems, and Zimbabwe and Zambia are not an exception. However, scholars have noted that the acceptance and utilisation of e-government systems by citizens in Zimbabwe and Zambia is affected by many factors, among others, perceived privacy, perceived security, perceived trust, perceived risk and optimism bias. Objectives: The aim of this study was to investigate the effect of privacy, security, trust, optimism bias and perceived risk on citizens’ use behaviour of e-government systems in the SADC. Method: This study proposes an e-government utilisation model. A quantitative design was employed to collect data from a survey of 489 e-government users in Zambia and Zimbabwe to test the model fit using structural equation modelling. Results: Perceived lack of privacy, security, trust; perceived risk and optimism bias were all confirmed as salient factors affecting the utilisation of e-government systems by citizens in Zambia and Zimbabwe. The structural equation model results confirmed the model fit of the proposed e-government research model. All eight hypotheses for this study were confirmed. Conclusion: The findings of this study provide pointers to practitioners, decision-makers and policymakers on e-government matters on the need to seriously consider privacy, security, risk and trust issues of e-government systems to encourage the utilisation of such systems by citizens.

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23 citations

Cites background or result from "The Effect of Trust and Risk Percep..."

...…in most prior studies on e-commerce and e-government adoption and use, perceived trust is expected to have a positive effect on both behavioural intention to adopt and use behaviour (Al Khattab et al. 2015; Anthopoulos et al. 2016; Colesca 2009) and to reduce perceived risk (Schaupp & Carter 2010)....
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...The results of this study agree with findings of earlier studies (Al Khattab et al. 2015; Almarashdeh & Alsmadi 2017; Schaupp & Carter 2010), which established that citizens who regard e-government systems to be risky tend to shun transacting over such systems and resort to an alternative medium....
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...Several studies (Al Khattab et al. 2015; Schaupp & Carter 2010) established that risk perception has a negative effect on one’s use behaviour of e-government systems....
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...Consistent with previous studies on e-government utilisation (Al Khattab et al. 2015; Alzahrani, Al-Karaghouli & Weerakkody 2016; Bwalya & Healy 2010; Cai Shuqin et al. 2016), findings of this study show that perceived privacy is negatively linked to perceived risk....
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...This finding concurs with findings of previous studies on e-government use (Al Khattab et al. 2015; Albesher 2015; Santhanamery & Ramayah 2016)....
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Journal Article•DOI•

Electronic government adoption in voluntary environments – a case study of Zimbabwe:

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Willard Munyoka¹•Institutions (1)

University of Venda¹

01 Sep 2020-Information Development

TL;DR: Many governmental organisations across the world are progressively implementing electronic government systems to enhance their back-office operations and offer better and efficient services to citi... as mentioned in this paper, which can be classified into three categories:

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Abstract: Many governmental organisations across the world are progressively implementing electronic government systems to enhance their back-office operations and offer better and efficient services to citi...

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12 citations

Cites background or result from "The Effect of Trust and Risk Percep..."

...Several scholars (Kim and Kim, 2018; Al Khattab et al., 2015; Anthopoulos et al., 2016) establish PST as a predictor of behavioural intention on e-systems as hypothesised: H40: Privacy, security and trust (PST) have no influence on Behavioural Intention (BI) on e-government systems....
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...Consistent with previous studies on e-government adoption (Anthopoulos et al., 2016; Al Khattab et al., 2015; Papadomichelaki and Mentzas, 2012; Shalhoub, 2006), results of this study found that when citizens have trust in e-government systems and the governance process in general, their…...
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Journal Article•DOI•

Integrating IS success model with cybersecurity factors for e-government implementation in the Kingdom of Saudi Arabia

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Mohammed Al-Zahrani¹•Institutions (1)

King Faisal University¹

01 Oct 2020-International Journal of Electrical and Computer Engineering

TL;DR: Findings revealed that the constructs fundamental of the (IS) success model are strongly influencing users' satisfaction of the E-Gov services; correspondingly, the fundamental constructs factors of cybersecurity with TAM appear to have a strong impacts on perceived risk (PR) and usage and effectiveness.

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Abstract: The electronic government (E-Gov) Systems are currently getting recognized as an authentic strategically tool in delivering E-services. Considering the development of information system (IS) as well as the expanding of the internet-based applications in KSA, E-Gov has always been a significant aspect in delivering governmental services. This research has adopted the (IS) success model by both DeLone and McLean (DM the survey has been distributed among 211 users of E-Gov services consistently. Moreover, all research findings were attained through a quantitative method using the structural equation modelling (SEM). Findings revealed that the constructs fundamental of the (IS) success model are strongly influencing users' satisfaction (US) of the E-Gov services; correspondingly, the fundamental constructs factors of cybersecurity with TAM appear to have a strong impacts on perceived risk (PR), in addition, both which affect the E-Gov services towards usage and effectiveness.

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12 citations

Cites background or result from "The Effect of Trust and Risk Percep..."

...Moreover, this research findings are reliable to previous discussion results, whereas it could be shown that (IS) success model, cybersecurity model, and TAM model including its practices and propositions, is reliable with the E-Gov service usage, this conclusion is mentioned by many experts in this area of study [31, 50, 55, 75, 76, 79, 80, 90, 91]....
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...Numerous researches such as [76, 77] mentioned that there is a negative effect of risk perception on the decision made on using E-Gov systems....
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...These findings are coherent with earlier researches such as [50, 52, 75-77], who agree that there is a positive relationship between PR of E-Gov service and TAM with cybersecurity factors on E-Gov service use....
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References

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Perceived Usefulness, Perceived Ease of Use, and User

[...]

Perceived Usefulness, Fred D. Davis

01 Jan 1989

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.

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40,975 citations

"The Effect of Trust and Risk Percep..." refers background or methods in this paper

...PU is defined by ([36] p 320) as “the degree to which a person believes that using a particular system would enhance his or her job performance”, while PEOU is defined as “the degree to which a person believes that using a particular system will be free of effort” ([36] p 320)....
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...In this stream of research, researchers have used several models including the Technology Acceptance Mode (TAM) [36]....
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...Other researchers have chosen to take attitude out of TAM to increase the parsimony of the model, since this does not reduce its explanatory power [36] [57]....
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Journal Article•DOI•

Perceived usefulness, perceived ease of use, and user acceptance of information technology

[...]

Fred D. Davis¹•Institutions (1)

University of Michigan¹

01 Sep 1989-Management Information Systems Quarterly

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.

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Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.

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40,720 citations

Journal Article•DOI•

Multivariate Data Analysis

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Joseph F. Hair

01 Jan 1973

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.

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Abstract: Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussing techniques with flowcharts for each. Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the mathematical derivation of the technique. Provides an overview of several techniques and approaches that are available to analysts today - e.g., data warehousing and data mining, neural networks and resampling/bootstrapping. Chapters are organized to provide a practical, logical progression of the phases of analysis and to group similar types of techniques applicable to most situations. Table of Contents 1. Introduction. I. PREPARING FOR A MULTIVARIATE ANALYSIS. 2. Examining Your Data. 3. Factor Analysis. II. DEPENDENCE TECHNIQUES. 4. Multiple Regression. 5. Multiple Discriminant Analysis and Logistic Regression. 6. Multivariate Analysis of Variance. 7. Conjoint Analysis. 8. Canonical Correlation Analysis. III. INTERDEPENDENCE TECHNIQUES. 9. Cluster Analysis. 10. Multidimensional Scaling. IV. ADVANCED AND EMERGING TECHNIQUES. 11. Structural Equation Modeling. 12. Emerging Techniques in Multivariate Analysis. Appendix A: Applications of Multivariate Data Analysis. Index.

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37,124 citations

Journal Article•DOI•

User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

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Fred D. Davis¹, Richard P. Bagozzi¹, Paul R. Warshaw²•Institutions (2)

University of Michigan¹, California Polytechnic State University²

01 Aug 1989-Management Science

TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.

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Abstract: Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.

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21,880 citations

Journal Article•DOI•

Multivariate Data Analysis

[...]

Xianggui Qu

01 Feb 2007-Technometrics

TL;DR: This book deals with probability distributions, discrete and continuous densities, distribution functions, bivariate distributions, means, variances, covariance, correlation, and some random process material.

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Abstract: Chapter 3 deals with probability distributions, discrete and continuous densities, distribution functions, bivariate distributions, means, variances, covariance, correlation, and some random process material. Chapter 4 is a detailed study of the concept of utility including the psychological aspects, risk, attributes, rules for utilities, multidimensional utility, and normal form of analysis. Chapter 5 treats games and optimization, linear optimization, and mixed strategies. Entropy is the topic of Chapter 6 with sections devoted to entropy, disorder, information, Shannon’s theorem, demon’s roulette, Maxwell– Boltzmann distribution, Schrodinger’s nutshell, maximum entropy probability distributions, blackbodies, and Bose–Einstein distribution. Chapter 7 is standard statistical fare including transformations of random variables, characteristic functions, generating functions, and the classic limit theorems such as the central limit theorem and the laws of large numbers. Chapter 8 is about exchangeability and inference with sections on Bayesian techniques and classical inference. Partial exchangeability is also treated. Chapter 9 considers such things as order statistics, extreme value, intensity, hazard functions, and Poisson processes. Chapter 10 covers basic elements of risk and reliability, while Chapter 11 is devoted to curve fitting, regression, and Monte Carlo simulation. There is an ample number of exercises at the ends of the chapters with answers or comments on many of them in an appendix in the back of the book. Other appendices are on the common discrete and continuous distributions and mathematical aspects of integration.

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19,893 citations