Determinants of E-Government Development: Some Methodological Issues

García‐Sánchez, Isabel‐María; Cuadrado‐Ballesteros, Beatriz; Frías-Aceituno, José-Valeriano

doi:10.5430/jms.v3n3p11

Cited by 13 publications

(5 citation statements)

References 33 publications

(48 reference statements)

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“…Their results indicated that governance in a country, e.g., political stability, regulatory quality or control of corruption, did not significantly contribute to its e-government maturity, and their relationship was not mediated by eparticipation. This conclusion is in line with prior research by García-Sánchez et al (2012). They analyzed the factors which promote the e-government development in the national governments using a more suitable econometric methodology.…”

Section: E-government Development Indicessupporting

confidence: 87%

“…The existing models of e-government evolution suggest a linear progression from basic web publishing to fully integrated, advanced and matured e-government, where each successive stage of e-government is better than the previous one. Governments have to proceed through each stage (step) in a series (García-Sánchez et al, 2012;Krishnan et al, 2013). As for the development of egovernment services, the establishment of collective goals can be viewed as corresponding to the definition of resources available, and the way in which they may be allocated.…”

Section: Introductionmentioning

confidence: 99%

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Modelling E-Government Development through the Years Using Cluster Analysis

Mura

Lněnička

2016

JeDEM

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Every e-government development has its supporting factors and various limitations that hinder the implementation of e-government initiatives and further improvement of e-services. This paper examines and evaluates the specific challenges, trends and the progress of e-government between the years 2008 and 2014 in the European Union Member States based on the global e-government development indices. It is focused on the effects and consequences of the European recession, which started as the global financial crisis in 2007 and was followed by the European debt crisis since the end of 2009. The purpose of this research study is to understand the influence of selected indicators on the e-government development in order to uncover similarities and identify areas that were affected by the crisis a need further improvement. The results of this work may be used to introduce more efficient measurements and benchmarking frameworks of the e-government development. The main methods used are descriptive, correlation and cluster analysis.

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Section: E-government Development Indicessupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Modelling E-Government Development through the Years Using Cluster Analysis

Mura

Lněnička

2016

JeDEM

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“…The four dimensions included in the research model are assumed to reflect the process of successful e-government implementation based on KM practices. The success of e-government projects depends on many factors like infrastructure, public employees, citizens and governments (Bataineh and Abu-Shanab, 2016;Tarhini et al, 2015;Garcia-Sánchez et al, 2012). This study will focus on the influence of KM practices on the success of e-government projects.…”

Section: Methodsmentioning

confidence: 99%

The influence of knowledge management practices on e-government success

Abu-Shanab

Shehabat

2018

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Purpose This paper aims to examine the perceived influence of knowledge management (KM) practices on the success of e-government initiatives. This paper proposes a framework depicting the overall perspective of the interactions between the environment and KM practices and associated processes in the context of e-government. Design/methodology/approach A conceptual framework was built to set the stage for empirical analysis, which included four major constituents: IT infrastructure, administrative issues, KM practices and e-government projects success. A sample of 181 civil servants completed a survey measuring the factors included in the research model. Structural equation modeling technique was used to test the model. Findings Results have identified IT infrastructure and administrative issues as significant predictors of e-government projects’ success, where the relationship was mediated by KM practices. The model explained 52.7 per cent of the variance in e-government success. Research limitations/implications Governments need to enforce policies to encourage KM practices and make available the needed infrastructure for such environment. The sample size and the new Arabic survey used in the study are the major limitations, where more research is encouraged to validate the instrument and generalize the findings to different environments. Originality/value This study is the first in Jordan, and one of the few that related e-government to KM practices by proposing a comprehensive model that sums the factors related to such relationship. Its value stems from its sample of public employees and the support of its proposed framework.

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“…Information and communication technology (ICT) benefits businesses, industries, and government sectors (Ahn & Bretschneider, 2011; García‐Sánchez et al, 2012; Glyptis et al, 2020). Electronic government, also known as e‐government, is a manifestation of ICT implementation in the government sector.…”

Section: Introductionmentioning

confidence: 99%

Factors influencing village information systems adoption in Indonesia: A qualitative study

Sihotang

Purwandari

Eitiveni

et al. 2023

E J Info Sys Dev Countries

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Like other developing countries, the Indonesian government is pursuing digital transformation to achieve good governance at the central and micro levels. One of the strategies for achieving digital government transformation at the micro level is implementing village information systems (VIS), information systems that village officials manage. Unfortunately, not all villages in Indonesia are thriving in adopting VIS. Therefore, this study aims to answer an overarching puzzle: Why did some village governments successfully adopt VIS while others failed? Using a case‐study approach to VIS adoption in Gunungkidul Regency, Indonesia, this study fills the gap in the literature from the technological‐organizational–environmental perspective that affects e‐government adoption at the village government level. We found four main factors that influence the success or failure of village information systems adoption: (1) VIS interoperability (technology context), (2) the workload of village officers (organizational context), (3) the role of civil society, and (4) the role of a vendor (environmental context). This research enriches the literature by identifying these four factors within the TOE framework, still rarely present in e‐government adoption studies, especially in the context of village governments in developing countries. This research has practical implications for the successful adoption of VIS as a village government effort to gain data sovereignty.

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Determinants of E-Government Development: Some Methodological Issues

Cited by 13 publications

References 33 publications

Modelling E-Government Development through the Years Using Cluster Analysis

Modelling E-Government Development through the Years Using Cluster Analysis

The influence of knowledge management practices on e-government success

Factors influencing village information systems adoption in Indonesia: A qualitative study

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