Measuring the impact of data warehouse and business intelligence on enterprise performance in Peru: A developing country

Rolando Gonzales, Jonathan Wareham, Jaime Serida

Producció científica: Article en revista indexadaArticleAvaluat per experts

18 Cites (Scopus)

Resum

The purpose of this research is to assess the impact of data warehouse and business intelligence on the business performance of enterprises in developing regions such as Peru. Two models were developed; the qualitative exploratory model employed 23 interviews from several business sectors that use data warehouse and business intelligence. This model was exploratory in nature and helped to identify specific factors relevant to data warehouse and business intelligence in developing countries. The quantitative model examined 110 survey responses from different business sectors that use data warehouse and business intelligence. The DeLone and McLean model from 2003 was applied to test the fit of a structural equation model. Through this model, several hypotheses were tested. Thereafter, insights were combined from a review of the literature and from qualitative and quantitative analysis to consider the extension of additional constructs relevant to studies of data warehouse and business intelligence in developing economies. The additional constructs include: financial investment, alignment between the business intelligence project and business, and technology and specific skills. Implications for the study of advanced technologies in developing regions are considered.

Idioma originalAnglès
Pàgines (de-a)162-187
Nombre de pàgines26
RevistaJournal of Global Information Technology Management
Volum18
Número3
DOIs
Estat de la publicacióPublicada - 2015
Publicat externament

Fingerprint

Navegar pels temes de recerca de 'Measuring the impact of data warehouse and business intelligence on enterprise performance in Peru: A developing country'. Junts formen un fingerprint únic.

Com citar-ho