Abstract:This study explored the factors influencing citizens' adoption of e-government services through the open government/data concept by proposing and validating an e-government adoption recommendation model (EGARM). The data was analyzed with Smart PLS-SEM. The results show that the intention to use e-government website is positively related to the intention of citizens to recommend the adoption of e-government services. Trust in government and the internet were significant predictors of the intention to use e-gov… Show more
“…Despite its unique promise, the e-government’s prosperity depends to an enormous degree on the number of citizens using it. Accordingly, researchers view citizens adopting e-government as a significant achievement basis for e-government (Mensah et al , 2021). Different occupations, age groups, genders and nations have different rates of e-government adaption based on technology acceptance, education levels and economic developments (Kaya et al , 2016; Eyupoglu and Kaya, 2020; Agozie and Kaya, 2021).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Numerous public and local administrations around the globe are progressively exploiting improvements in ICT to deliver connected solutions to their citizens. Electronic government (e-government) is a way to improve public governance by making public services more accessible and efficient, managing shared resources effectively, improving administration and increasing democratic transparency (Dwivedi et al , 2017; Kaya et al , 2020a; Mensah et al , 2021). However, despite the enormous benefits of e-government, several administrations around the globe confront the obstacle of a limited number of individuals embracing e-government services (Komba and Ngulube, 2015; Rana and Dwivedi, 2015) or decision-makers might be reluctant to provide e-government practices due to several reasons (Kaya et al , 2020a).…”
Section: Introductionmentioning
confidence: 99%
“…Nigeria faces low levels of e-government adaption as a developing country (Abdulkareem et al , 2021; Abdulkareem and Mohd Ramli, 2022). This situation needs consideration from researchers because citizens play an indispensable part in the success of e-government (Mensah et al , 2021). Low e-government adaption has led to increasing research to understand the determinants of citizens’ adoption of e-government solutions.…”
Purpose
This study aims to investigate and comprehend the key factors that affect citizens’ adoption of electronic government (e-government) in Nigeria. In addition, the exploration intends to assess the potential determinants that may affect the Nigerian’s behavioural intention (BI) to adopt e-government services. The findings can be helpful for policymakers and government officials to provide e-government practices effectively.
Design/methodology/approach
The research adopted a quantitative method using the unified model of e-government adoption (UMEGA). In this study, data are collected from 410 citizens aged above 18 years old and analysed using partial least squares path modelling technique.
Findings
The results showed that performance expectancy and effort expectancy positively influenced attitude (ATT) towards e-government. In contrast, perceived risk negatively impacted ATT towards e-government. However, social influence did not have a significant influence. The results showed that ATT and facilitating conditions (FC) positively influenced the BI to use e-government services. The explanatory and predictive power of UMEGA in Nigeria accounted for 63.9%.
Originality/value
To the authors’ knowledge, no prior studies analysed citizens’ adoption of e-government in Nigeria. This study, however, filled this gap. This study has contributed to the current knowledge of e-government adoption in Nigeria, which policymakers and government officials can use.
“…Despite its unique promise, the e-government’s prosperity depends to an enormous degree on the number of citizens using it. Accordingly, researchers view citizens adopting e-government as a significant achievement basis for e-government (Mensah et al , 2021). Different occupations, age groups, genders and nations have different rates of e-government adaption based on technology acceptance, education levels and economic developments (Kaya et al , 2016; Eyupoglu and Kaya, 2020; Agozie and Kaya, 2021).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Numerous public and local administrations around the globe are progressively exploiting improvements in ICT to deliver connected solutions to their citizens. Electronic government (e-government) is a way to improve public governance by making public services more accessible and efficient, managing shared resources effectively, improving administration and increasing democratic transparency (Dwivedi et al , 2017; Kaya et al , 2020a; Mensah et al , 2021). However, despite the enormous benefits of e-government, several administrations around the globe confront the obstacle of a limited number of individuals embracing e-government services (Komba and Ngulube, 2015; Rana and Dwivedi, 2015) or decision-makers might be reluctant to provide e-government practices due to several reasons (Kaya et al , 2020a).…”
Section: Introductionmentioning
confidence: 99%
“…Nigeria faces low levels of e-government adaption as a developing country (Abdulkareem et al , 2021; Abdulkareem and Mohd Ramli, 2022). This situation needs consideration from researchers because citizens play an indispensable part in the success of e-government (Mensah et al , 2021). Low e-government adaption has led to increasing research to understand the determinants of citizens’ adoption of e-government solutions.…”
Purpose
This study aims to investigate and comprehend the key factors that affect citizens’ adoption of electronic government (e-government) in Nigeria. In addition, the exploration intends to assess the potential determinants that may affect the Nigerian’s behavioural intention (BI) to adopt e-government services. The findings can be helpful for policymakers and government officials to provide e-government practices effectively.
Design/methodology/approach
The research adopted a quantitative method using the unified model of e-government adoption (UMEGA). In this study, data are collected from 410 citizens aged above 18 years old and analysed using partial least squares path modelling technique.
Findings
The results showed that performance expectancy and effort expectancy positively influenced attitude (ATT) towards e-government. In contrast, perceived risk negatively impacted ATT towards e-government. However, social influence did not have a significant influence. The results showed that ATT and facilitating conditions (FC) positively influenced the BI to use e-government services. The explanatory and predictive power of UMEGA in Nigeria accounted for 63.9%.
Originality/value
To the authors’ knowledge, no prior studies analysed citizens’ adoption of e-government in Nigeria. This study, however, filled this gap. This study has contributed to the current knowledge of e-government adoption in Nigeria, which policymakers and government officials can use.
“…, 2017, 2018). Mensah et al. (2021) established that trust is the main significant predictor of user's intention to use e-Gov services.…”
Section: Introductionmentioning
confidence: 99%
“…, 2017). For instance, Mensah et al. (2021) have only considered trust in government, information quality and accessibility as the main indicators.…”
PurposeIn this study, a novel framework was proposed to assess the trust in e-government (e-Gov) services under an uncertain environment. The proposed framework was applied in Iranian municipality websites of e-Gov services to evaluate the readiness score of trust in e-Gov services.Design/methodology/approachA unique hybrid research methodology was proposed. In the first phase, a comprehensive set of indices were determined from an extensive literature review and finalized by employing the fuzzy Delphi method. In the second phase, interval-valued intuitionistic fuzzy set (IVIFS) -was utilized to model the problem's uncertainty with analytic called IVIFS- hierarchy process (AHP) to determine the importance of indices and indicators by assigning the weights. In the third phase, the fuzzy evaluation method (FEM) is followed for assessing the readiness score of indices in case studies.FindingsThe findings indicated that “Trust in government” is the most significant index affecting citizen's trust in e-Gov services while “Maintenance and support” has the least impact on user's intention to use e–Gov services.Research limitations/implicationsThe study contributes by introducing a unique research methodology that integrates three phases, including fuzzy Delphi, IVIFS AHP and fuzzy evaluation method. Moreover, the fuzzy sets theory helps to reach a more accurate result by modeling the inherent ambiguity of indicators and indices. Interval-valued intuitionistic fuzzy models the ambiguity of experts' judgments in an interval.Practical implicationsThe study helps policy makers to monitor wider aspects of trust in e-Gov services as well as understanding their importance. The study enables policy makers to apply the framework to any potential case studies to evaluate the readiness score of indices and recognizing strengths and weakness of trust dimensions as well as recommending advice for improving the situation.Originality/valueThe study is one of the few to indicate significant indices of trust in e-Gov services in developing countries. The study shows the importance of indicators and indices by assigning a weight. Additionally, the framework can assess the readiness score of various case studies.
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