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Discovering the determinants and predicting the degree of e-business diffusion using the decision tree method: evidence from Montenegro

Discovering the determinants and predicting the degree of e-business diffusion using the decision... The aim of this paper is to analyze the impact of technical, organizational and environmental factors on the level of diffusion of electronic business in a developing country. Unlike most previous studies, the intention of this study is to determine and predict the interactive impact of these factors using decision tree (DT) method. This method automatically detects the dependence between variables and does not require any pre-defined hypotheses in relation to these dependencies. In addition, differences are also examined in the degree of influence of these factors in the context of a range of economic sectors and types of e-business. The results of the study show that the level of significance of the individually observed factors varies across different industries and types of business. The results of this study may have theoretical and practical implications for developing countries in terms of the contribution of e-business diffusion to overall socio-economic development. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information Technology for Development Taylor & Francis

Discovering the determinants and predicting the degree of e-business diffusion using the decision tree method: evidence from Montenegro

Discovering the determinants and predicting the degree of e-business diffusion using the decision tree method: evidence from Montenegro

Information Technology for Development , Volume 25 (2): 30 – Apr 3, 2019

Abstract

The aim of this paper is to analyze the impact of technical, organizational and environmental factors on the level of diffusion of electronic business in a developing country. Unlike most previous studies, the intention of this study is to determine and predict the interactive impact of these factors using decision tree (DT) method. This method automatically detects the dependence between variables and does not require any pre-defined hypotheses in relation to these dependencies. In addition, differences are also examined in the degree of influence of these factors in the context of a range of economic sectors and types of e-business. The results of the study show that the level of significance of the individually observed factors varies across different industries and types of business. The results of this study may have theoretical and practical implications for developing countries in terms of the contribution of e-business diffusion to overall socio-economic development.

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References (59)

Publisher
Taylor & Francis
Copyright
© 2017 Commonwealth Secretariat
ISSN
1554-0170
eISSN
0268-1102
DOI
10.1080/02681102.2017.1415863
Publisher site
See Article on Publisher Site

Abstract

The aim of this paper is to analyze the impact of technical, organizational and environmental factors on the level of diffusion of electronic business in a developing country. Unlike most previous studies, the intention of this study is to determine and predict the interactive impact of these factors using decision tree (DT) method. This method automatically detects the dependence between variables and does not require any pre-defined hypotheses in relation to these dependencies. In addition, differences are also examined in the degree of influence of these factors in the context of a range of economic sectors and types of e-business. The results of the study show that the level of significance of the individually observed factors varies across different industries and types of business. The results of this study may have theoretical and practical implications for developing countries in terms of the contribution of e-business diffusion to overall socio-economic development.

Journal

Information Technology for DevelopmentTaylor & Francis

Published: Apr 3, 2019

Keywords: E-business diffusion; decision tree; classification; prediction; ICT for development

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