Measuring eGovernment Systems Success: An Empirical Study

Edrees, Mohamed E.; Mahmood, Amjad

doi:10.1007/978-981-4585-18-7_53

Cited by 9 publications

(10 citation statements)

References 10 publications

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“…The relationship between information quality and intention to use was statistically significant, thus H1 was supported. This is inline with previous study by Hung et al (2012), Kerta and Suryawan (2012), Edrees and Mahmood (2014), Cho et al (2015), Xinli (2015), Stefanovic et al (2016), Saputro et al (2016) and Imlawi and Alsharo (2017). Furthermore, among the three quality antecedent, information quality gained strongest influence on intention to use.…”

Section: Discussionsupporting

confidence: 90%

“…Service quality had statistically significant influence on intention to use, thus H3 was supported. This is inline with Awwad and Al-Mohammad (2010), Khayun and Ractham (2011), Kerta and Suryawan (2013), Edrees and Mahmood (2014), Cho et al (2015), Manandhar et al (2015), Stefanovic et al (2016) and Amiri et al (2017). This result indicates that to increase intention to use DMFAS, DGFRM and Central Bank must increase the service quality level.…”

Section: Discussionsupporting

confidence: 81%

“…They conclude that the information system was good enough and the maturity level at repeatable but intuitive. Edrees and Mahmood (2014) conduct study that provides an empirical test of an adaptation of D&M IS success model in the context of G2C e-government and found that the model was valid. Moreover, all of relationship between six success dimensions which is information quality, system quality, service quality, use, user satisfaction and net benefit was significantly or marginally supported.…”

Section: Information System Success Modelmentioning

confidence: 99%

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Does information system technology succeed in helping manage debt

Permana¹,

Sutaryo

2020

IJBIS

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Using DeLone and McLean IS success model, researcher investigate what factors influence the success of debt management and financial analysis system (DMFAS) that was used by Indonesia to manage around USD 56.8 billion of government debt. 84 responses from 100 DMFAS users were used as data and multiple regression analysis was applied to evaluate the model. Besides the link from system quality to intention to use and user satisfaction to intention to use, all of hypothesised relationships between six variables are significantly or marginally supported. Moreover, based on indirect and total effect of causal path, among three antecedents of quality, system quality has the strongest influence to net benefit. The findings of this study can be used to assess the success of DMFAS used in other country from user's perspective.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 81%

Section: Information System Success Modelmentioning

confidence: 99%

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Does information system technology succeed in helping manage debt

Permana¹,

Sutaryo

2020

IJBIS

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“…Studies that deal with the assessment of e-government systems' success, using IS-success-based approaches, are scarce (Almalki, Duan, & Frommholz, 2012;Edrees & Mahmood, 2014; Y.-S. Wang & Liao, 2008); to the best of our knowledge, no research has been conducted to assess egovernment systems from the perspective of government employees as primary users. The empirical results of previous studies need to be verified in different user populations and more empirical tests should be conducted to generalize the model validation in the context of egovernment (Y.-S. Wang & Liao, 2008), especially considering DCs of the population (Nam, 2014).…”

Section: Introductionmentioning

confidence: 98%

Assessing the success of e-government systems: An employee perspective

Stefanović

Marjanović

Delić

et al. 2016

Information & Management

190

130

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“…It was tested in a university e-learning context with results showing that system and information quality affect the system use and user satisfaction and thus influence e-learning system success [60]. Various studies have used the IS success model approach to validate the success of e-gov systems [61]- [63]. A study in Brazil found that user-perceived satisfaction, collaboration quality, and information quality in the elearning environment are linked with personal success [64].…”

Section: Introductionmentioning

confidence: 99%

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

Chohan

2020

IEEE Access

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Digitization and lightning expansions in digital technology have made it possible to collect data on almost anything, making it easier to quantify and integrate the collected data. The diffusion of IoT technologies has fostered the government-citizen relationship, creating a powerful argument for public value creation. Thus, IoT service orchestration can influence the development and trustworthiness of intention to use behavior. This study aims to explore the success factors of IoT service orchestration to create public value in smart government by integrating ISST and cognitive trust into TAM. Based on the literature and research outcomes, a comprehensive IoT-based Public Value Model (IoT-PVM) was developed to provide a complete picture of system success. This conceptual model is validated analytically through a quantitative method using PLS-SEM. The findings highlight that IoT service orchestration can enable the government to deliver public value, just as public trust has a parental role in building citizens' positive behavior intentions towards the use of IoT in e-government services. The model explains 71.8% variance in perceived ease of use, 59.7% in public trust, 62.6% in perceived usefulness, 61.9% in usage behavior intention, and 69.8% of public value creation. The study results and discussion offer valuable insights regarding the public value creation of IoTempowered public services and also contribute to academic research literature and are practically helpful for policymakers for designing IoT service orchestration and making government smarter, more transparent, and responsive to citizens.

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Measuring eGovernment Systems Success: An Empirical Study

Cited by 9 publications

References 10 publications

Does information system technology succeed in helping manage debt

Does information system technology succeed in helping manage debt

Assessing the success of e-government systems: An employee perspective

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

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