Identifying Barriers to e-Government Services for Citizens in Developing Countries

2011 ◽  
Vol 7 (3) ◽  
pp. 79-91 ◽  
Author(s):  
Subhajyoti Ray
Keyword(s):  
Principal Component Analysis ◽  
Developing Countries ◽  
Developing Country ◽  
Principal Component ◽  
Latent Structure ◽  
Failure Rates ◽  
Critical Factors ◽  
Comprehensive Understanding ◽  
Government Services ◽  
Barriers To Implementation

Although the use of ICT by government has demonstrated its potential in improving government services, worldwide there are more failures than successes of e-Government projects. In the context of developing countries, including India, authors have observed equally high failure rates. Therefore, it is important to understand the barriers to implementation of e-Government, especially in developing countries. This paper develops a comprehensive understanding of barriers to e-Government services for citizens in developing countries. This study was carried out in India, a developing country with a massive commitment to e-Government at policy and implementation levels. Based on variables identified from research, a survey of the key practitioners in e-Government was conducted to generate evidence on perceptions of barriers to e-Government. Even though a relatively small number of responses were received, the responses could be evaluated using principal component analysis to understand the latent structure of the barriers. Finally, 7 critical factors with 30 items are extracted that describe the latent structure of barriers to e-Government in development.

Identifying Barriers to e-Government Services for Citizens in Developing Countries

2013 ◽  
pp. 281-293
Author(s):  
Subhajyoti Ray
Keyword(s):  
Principal Component Analysis ◽  
Developing Countries ◽  
Developing Country ◽  
Principal Component ◽  
Latent Structure ◽  
Failure Rates ◽  
Critical Factors ◽  
Comprehensive Understanding ◽  
Government Services ◽  
Barriers To Implementation

Although the use of ICT by government has demonstrated its potential in improving government services, worldwide there are more failures than successes of e-Government projects. In the context of developing countries, including India, authors have observed equally high failure rates. Therefore, it is important to understand the barriers to implementation of e-Government, especially in developing countries. This paper develops a comprehensive understanding of barriers to e-Government services for citizens in developing countries. This study was carried out in India, a developing country with a massive commitment to e-Government at policy and implementation levels. Based on variables identified from research, a survey of the key practitioners in e-Government was conducted to generate evidence on perceptions of barriers to e-Government. Even though a relatively small number of responses were received, the responses could be evaluated using principal component analysis to understand the latent structure of the barriers. Finally, 7 critical factors with 30 items are extracted that describe the latent structure of barriers to e-Government in development.

scholarly journals Sun, Sand, and… Sustainability in Developing Countries from a Tourists’ Perspective. The Case of Punta Cana

2020 ◽  
Vol 12 (11) ◽  
pp. 4743 ◽  
Author(s):  
Gianluca Goffi ◽  
Magdalena Cladera ◽  
Linda Osti
Keyword(s):  
Principal Component Analysis ◽  
Developing Countries ◽  
Performance Analysis ◽  
Dominican Republic ◽  
Logit Model ◽  
Large Scale ◽  
Principal Component ◽  
Environmental Problems ◽  
Sustainable Practices ◽  
Ordered Logit Model

Large-scale tourism represents one of the main causes of environmental problems faced by many seaside destinations in developing countries. A survey was carried out among tourists in Punta Cana, the Dominican Republic, one of the most visited coastal destinations worldwide. This study explores whether the destination is meeting tourists’ demand for sustainable practices and whether the sustainable initiatives implemented, as perceived by tourists, have a role in explaining tourists’ satisfaction. An importance-performance analysis and a principal component analysis, followed by an ordered logit model, were performed. Findings show that tourists’ expectations in terms of sustainability are not adequately met and that environmental and socioeconomic sustainability are positively associated with tourists’ satisfaction.

scholarly journals The structure of the lexical personality descriptors in Serbian language

Psihologija ◽  
2007 ◽  
Vol 40 (4) ◽  
pp. 485-508 ◽  
Author(s):  
Snezana Smederevac ◽  
Dusanka Mitrovic ◽  
Petar Colovic
Keyword(s):  
Principal Component Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Negative Emotionality ◽  
Latent Structure ◽  
Positive Emotionality ◽  
Negative Valence ◽  
Positive Valence ◽  
Promax Rotation

Two studies, both originating from a larger psycholexical study in Serbian language, are presented here. Two questionnaires, Lexi and PL have been constructed in the psycholexical study. The questionnaires differ by the formulation of their respective items: while the items of the Lexi contain adjectives, the items of the PL are in the form of statements. The first study presented in this paper examines the latent structure of the Lexi questionnaire, while the second one deals with the latent structure of the PL. In both studies, principal component analysis was applied, and the number of components to be retained in the analysis was determined according to the Scree criterion. Also, Promax rotation was applied in both studies. Seven components which were extracted in the first study have been interpreted as Negative Valence, Negative Emotionality, Aggressiveness, Conscientiousness, Positive Emotionality, Positive Valence and Openness to Experience. The content of these dimensions is obviously similar to the dimensions of Tellegen and Waller?s Big Seven model. In the second study, five components were extracted, and interpreted as Sociability, Anxiety, Aggressiveness, Activity and Impulsivity. The content of the dimensions extracted in the second study corresponds with the dimensions of Marvin Zuckerman?s Alternative Five - Factor Model.

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