11,523 research outputs found

    Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology

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    While technology adoption is a major stream of research in information systems, few studies have examined the antecedents and consequences of mandatory adoption of technologies. To address this gap, we develop and test a model of mandatory citizen adoption of an e-government technology. Based on a framework that outlines the key stages associated with the launch of technology products, we identify various external factors as antecedents of four key technology adoption variables from the unified theory of acceptance and use of technology (UTAUT), i.e., performance expectancy, effort expectancy, social influence, and facilitating conditions, which ultimately impact citizen satisfaction. The four stages of technology launch and the salient antecedents in each stage are: (1) market preparation stage awareness; (2) targeting stage compatibility and self-efficacy; (3) positioning stage flexibility and avoidance of personal interaction; and (4) execution stage trust, convenience, and assistance. We test our model in a two-stage survey of 1,179 Hong Kong citizens, before and after they were issued a mandatory smart card to access e-government services. We find that the various factors tied to the different stages in launching the technology predict key technology adoption variables that, in turn, predict citizen satisfaction with e-government technology. We discuss the theoretical and practical implications for governments implementing technologies whose use by citizens is mandated

    Exploring Different Roles between Service Expectation and Technology Expectation In Citizenโ€™s E-Government Continuance Adoption: An Extended Expectation-Confirmation Model

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    Although Chinese government has got remarkable achievement in e-Government development, the difficult issue that citizen use behaviour cannot last toward many e-Government services has long been troubling to government in different levels. Based on expectation-confirmation theory (ECT), this paper proposed an extended model by divide the expectation and perceived performance into two categories, service perspective and technology perspective, for understanding the different roles of those factors in the process of e-Government continuance adoption. The research plan of an empirical experiment toward the e-Government portal of Beijing, the capital of China for utilizing this extended model was also discussed briefly in the paper

    ํƒ„์ž๋‹ˆ์•„ ์ „์ž ์ •๋ถ€์˜ ์‚ฌ์šฉ์ž ๋งŒ์กฑ๋„ ํ‰๊ฐ€: ํƒ„์ž๋‹ˆ์•„ ์„ธ๋ฌด ๋‹น๊ตญ (TRA) ์‚ฌ๋ก€ ์—ฐ๊ตฌ.

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๊ธฐ์ˆ ๊ฒฝ์˜ยท๊ฒฝ์ œยท์ •์ฑ…์ „๊ณต, 2020. 8. Hwang Junseok .์„ธ๊ณ„์ ์œผ๋กœ ์ •๋ณดํ†ต์‹ ๊ธฐ์ˆ (ICT)์˜ ํ™œ์šฉ์ด ์ฆ๊ฐ€ํ•˜๋ฉด์„œ ์ „์ž์ •๋ถ€์˜ ๋ฌผ๊ฒฐ์ด ๋น ๋ฅด๊ฒŒ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ํƒ„์ž๋‹ˆ์•„ ์ •๋ถ€๋Š” 2002๋…„๋ถ€ํ„ฐ ์ „์ž์ •๋ถ€ ์„œ๋น„์Šค ๊ฐœ์„ ์„ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•ด ๊ฐ์ข… ์ •์ฑ…๊ณผ ๊ทœ์ •์„ ์ œ์ •ํ•ด ์ „์ž์ •๋ถ€ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์žˆ๋‹ค. ๊ฐœ๋ฐœ ๋„์ƒ๊ตญ์˜ ํ˜„์žฌ ๋ฌธ์ œ๋˜๋Š” ์ƒํ™ฉ์€ ์ „์ž์ •๋ถ€ ํ”„๋กœ์ ํŠธ์˜ ๋Œ€๋‹ค์ˆ˜๊ฐ€ ์‹คํŒจํ•˜๋Š” ๋ฐ˜๋ฉด ํƒ„์ž๋‹ˆ์•„๋Š” ์ „์ž์ •๋ถ€ ๊ฐœ๋ฐœ์ง€์ˆ˜์™€ ์ „์ž์ •๋ถ€ ์ฐธ์—ฌ์ง€์ˆ˜์˜ ๊ธ‰์†ํ•œ ์„ฑ์žฅ์„ ๋ณด์—ฌ์ฃผ๊ณ  ์žˆ๋‹ค. ์ „์ž์ •๋ถ€ ํ”„๋กœ์ ํŠธ์˜ ์„ฑ๊ณต์€ ์„œ๋น„์Šค๋ฅผ ํ†ตํ•ด ์ œ๊ณต๋˜๋Š” ๊ธฐ์ˆ ์—๋งŒ ์˜์กดํ•˜๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ, ์‚ฌ์šฉ์ž๊ฐ€ ์„œ๋กœ ๋‹ค๋ฅธ ํ”Œ๋žซํผ์„ ํ†ตํ•ด ์ œ๊ณต๋˜๋Š” ์„œ๋น„์Šค์— ์–ด๋–ป๊ฒŒ ๊ด€์—ฌํ•˜๊ณ  ๋งŒ์กฑํ•˜๋Š๋ƒ์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง€๊ธฐ ๋•Œ๋ฌธ์—, ์‹œ๋ฏผ์˜ ๋งŒ์กฑ๋„๊ฐ€ ์ „์ž์ •๋ถ€ ์„ฑ๊ณต์„ ๋‹ฌ์„ฑํ•˜๋Š” ๋ฐ ํฐ ์—ญํ• ์„ ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ํƒ„์ž๋‹ˆ์•„ ์ „์ž์ •๋ถ€ ํ”„๋กœ์ ํŠธ์— ๋Œ€ํ•œ ์‚ฌ์šฉ์ž ๋งŒ์กฑ๋„๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•œ ๊ฒƒ์œผ๋กœ ํƒ„์ž๋‹ˆ์•„์ธ์˜ ์ „์ž ๋งŒ์กฑ๋„๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ์ฃผ์š” ์š”์ธ์„ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ํƒ„์ž๋‹ˆ์•„ ์ˆ˜์ž…๊ตญ(TRA) ์„œ๋น„์Šค ํฌํ„ธ์„ ์ด์šฉํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” Seddon์˜ (1997) ๋ชจ๋ธ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ DeLone๊ณผ McLean (2003)์— ๊ธฐ์ดˆํ•œ ์ •๋ณด ์‹œ์Šคํ…œ (IS) ์„ฑ๊ณต ๋ชจ๋ธ์„ ์ฑ„ํƒํ•˜๊ณ  ์žˆ๋‹ค. ๋ชจ๋ธ ๊ตฌ์„ฑ์€ ์‹œ์Šคํ…œ ํ’ˆ์งˆ, ์ •๋ณด ํ’ˆ์งˆ, ์„œ๋น„์Šค ํ’ˆ์งˆ, ์„ฑ๋Šฅ ๊ธฐ๋Œ€ ์„ฑ๋Šฅ, ์‚ฌ์šฉ ์˜ํ–ฅ ๋ฐ ์‚ฌ์šฉ์ž ๋งŒ์กฑ๋„ ๋“ฑ์ด๋‹ค. 163๋ช…์˜ ์‘๋‹ต์ž๊ฐ€ ์„ค๋ฌธ์ง€์— ๋‹ตํ•˜๋Š” ์˜จ๋ผ์ธ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•œ๋‹ค. ๋ฐ์ดํ„ฐ ์‹ฌ์‚ฌ ํ›„, 136๊ฐœ์˜ ์œ ํšจํ•œ ๋‹ต๋ณ€์ด ์žˆ์—ˆ๋‹ค. ํ•œํŽธ, 27๊ฐœ์˜ ๋‹ต๋ณ€์€ ์งˆ๋ฌธ์— ๋Œ€ํ•œ ์ฐธ์—ฌ ๋ถ€์กฑ์œผ๋กœ ์ธํ•ด ๋ฌดํšจ๋กœ ๊ฐ„์ฃผ๋˜์—ˆ๋‹ค. ๋ฐ์ดํ„ฐ ๋ถ„์„์€ SmartPLS ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ€์„ค ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๋ถ€๋ถ„ ์ตœ์†Œ ์ œ๊ณฑ ๊ตฌ์กฐ ๋ฐฉ์ •์‹ ๋ชจ๋ธ๋ง(PLS-SEM)๊ณผ ๊ฐ€์„ค ํ…Œ์ŠคํŠธ์— ์˜ํ•ด ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๊ฒฐ๊ณผ๋Š” TRA ํ”Œ๋žซํผ ์‚ฌ์šฉ์ž๋“ค์ด TRA์—์„œ ์ œ๊ณตํ•˜๋Š” ์„œ๋น„์Šค์— ๋งŒ์กฑํ•˜๊ณ  ์žˆ์Œ์„ ๋ณด์—ฌ์ค€๋‹ค. ์ด ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ์„œ๋น„์Šค ํ’ˆ์งˆ, ์‹œ์Šคํ…œ ํ’ˆ์งˆ ๋ฐ ์‚ฌ์šฉ ์˜์‚ฌ๊ฐ€ ์‚ฌ์šฉ์ž ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฐ•๋ ฅํ•œ ๊ฒฐ์ • ์š”์ธ์ด๋ผ๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ๋Š” ๋ฐ˜๋ฉด ์ •๋ณด ํ’ˆ์งˆ๊ณผ ์„ฑ๋Šฅ ๊ธฐ๋Œ€์น˜๋Š” ์‚ฌ์šฉ์ž ๋งŒ์กฑ๋„์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š์•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” TRA ํ”Œ๋žซํผ์˜ ๋ฐ์ดํ„ฐ๋กœ DeLone๊ณผ McLean(2003)์˜ ์—…๋ฐ์ดํŠธ๋œ IS ์„ฑ๊ณต ๋ชจ๋ธ์„ ํ…Œ์ŠคํŠธํ•˜๊ณ  ๊ฒ€์ฆํ•จ์œผ๋กœ์จ ๊ธฐ์กด ๋ฌธํ—Œ์— ๊ธฐ์—ฌํ•œ๋‹ค. ์‚ฌ์šฉ์ž๋“ค์€ ๋˜ํ•œ ์˜์‚ฌ๊ฒฐ์ •์—์„œ ๊ณ ๋ คํ•ด์•ผ ํ•  ์ค‘์š”ํ•œ ์š”์†Œ๋“ค์„ ๊ฐ•์กฐํ•จ์œผ๋กœ์จ ์ •๋ถ€ ์ •์ฑ… ์ž…์•ˆ์ž์™€ ๊ด€๋ฆฌ์ž๋“ค์—๊ฒŒ ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•œ๋‹ค.Worldwide, the wave of e-government is increasing rapidly due to the increased use of information and communications technology (ICT). The Tanzanian government has provided e-government services since 2002 by setting various policies and regulations to support the improvement of e-government services. The current problematic situation in developing countries is that the majority of e-government projects fail; meanwhile, Tanzania demonstrates rapid growth in the E-Government Development Index and the E-Government Participation Index. The success of e-government projects does not depend solely on the technology offered through the service, but also on how users engage with and are satisfied by the services offered through different platforms; therefore, citizens' satisfaction plays a major role in achieving e-government success. The purpose of this study is to measure users' satisfaction of Tanzania e-government project, the study use the Tanzania Revenue Authority (TRA) services portal to identify the key factors that determine Tanzanians' e-satisfaction. This study employs the Information System (IS) success model based on DeLone and McLean (2003), as well as Seddons (1997) models. The model constructs are: system quality, information quality, service quality, performance expectancy, intention to use and user satisfaction. Data are collected through an online survey in which 163 respondents answer the questionnaire. After the data screening, there were 136 valid responses; meanwhile, 27 responses were considered invalid due to lack of engagement with the questions. Data analysis was conducted by partial least squares structural equation modelling (PLS-SEM) using SmartPLS software to evaluate relationships between constructs, as well as testing the hypotheses. The results show that users of TRA platforms are satisfied with the services offered from TRA. The findings exhibit service quality, system quality and intention-to-use to be robust determinant factors affecting user satisfaction, while information quality and performance expectancy did not show any significant effect on user satisfaction. This study contributes to the existing literature by testing and validating DeLone and McLeans (2003) updated IS success model with data from the TRA platform. Users also provide implications for government policy makers and managers by highlighting important factors to consider in decision-making.Chapter 1. Introduction 1 1.1 Background 1 1.2 Motivation 5 1.3 Description of the Problem 6 1.4 Research Objectives 8 1.5 Research Outline 9 Chapter 2. Literature Review 10 2.1 E-government Definition and Characteristics 10 2.2 E-Government and Related Previous Studies 12 2.3 Theoretical and conceptual framework 15 2.3.1 Updated DeLone and McLean IS success mode 15 2.3.2 Structural Equation Modelling 18 Chapter 3. Research Methodology 20 3.1 Research Model 20 3.2 Hypothesis 21 3.3 Data collection 27 Chapter 4. Analysis Results 33 4.1 Demographic Characteristics of the Respondents 33 4.2 Descriptive Statistics 35 4.3 Measurement Model Analysis 36 4.3.1 Individual Indicator Reliability 36 4.3.2 Internal Consistency Reliability 37 4.3.3 Convergent Validity 39 4.3.4 Discriminant Validity 40 4.4 Structure Model Analysis 42 4.4.1 Collinearity Issue 43 4.4.2 Coefficient of Determination (R2) 43 4.4.3 Significance and Relevance of Path Coefficients 44 4.4.4 Importance Performance Map Analysis (IPMA) 46 Chapter 5. Conclusion 49 5.1 Discussion 49 5.2 Theoretical Implications 50 5.3 Policy Implications 51 5.4 Limitations and Future Research 52 Bibliography 53 Appendix 1: English Questionnaire 65 Abstract (Korean) 73Maste

    User Satisfaction as a Mediating Variable between Information Quality and the Conative Use of Annual Tax Reporting E-Filing System

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    The usage of information technology and communication in tax reporting system in Indonesia has increased, especially when we are all facing the global pandemic issue. This study aims to examine the effect of user satisfaction as a mediating variable on causal relationship between information quality andย  conative use of information technology. Drawing upon sample of 147 tax staff as a representative of corporate taxpayer, Sobel Test and Ordinary Least Square regression were used to test the hypotheses. This study suggests that user satisfaction acted as a mediating variable between information quality and conative use of e-filing tax reporting system.

    Does e-Government Always Fit? Moderating Role of Technology-Job Fit on Employee Acceptance of e-Government Technology.

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    E-government technologies have widely been praised by academics, policy makers and the public. However, despite that many governments heavily invest in these technologies, they still struggle to implement them into their organisations because of employees not accepting them. In my study, I argue that this is due to the lack of โ€œfitโ€ of these technologies with the structure, processes, and practices of the employees. Against this backdrop, my study draws from organisational job fit, task-technology fit and technology acceptance literatures to examine the โ€œTechnology-Job fitโ€ construct and explore its moderating role on how employees of government organisations perceive and adopt e-government technologies. I test my model on a sample of 347 employees of different government organisations in a developing country (Thailand). I find that employeesโ€™ judgements and satisfaction regarding a technology are significantly moderated by their perception of fit of the technology with their job. My study presents several contributions to research, policymaking, and practice of e-government and technology acceptance

    An Object-oriented Workflow Modeling Schema Using Dataflow Analysis for Collaborative E-governance Platform

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    In the initial stage of transforming from government to governance for developing countries, collaborative e-governance platforms should be urgently established in different contexts. Though some platforms have been previously applied to various fields, researches on common basic functions analysis and across-organization business process modeling based on a suitable workflow modeling method for the platforms design and development are insufficient. Based on an explorative analysis of platform functions and their patterns, we propose a schema for e-governance platforms modeling according to an extended method of object-oriented workflow modeling using dataflow analysis. It covers a two-step process of top-level platform workflow modeling and function objection workflow modeling. In addition, a citizen appeal processing platform is taken as an example to illustrate the utility of the schema. The schema facilitates the contextualized collaborative e-governance platforms development with an operable method and reusable function workflow models
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