Analysing the impact of a business intelligence system and new conceptualizations of system use

• Autores: Gonzales, Rolando, Wareham, Jonathan
• Formato: artículo
• Fecha de Publicación: 2019
• Institución: Universidad ESAN
• Repositorio: ESAN-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.esan.edu.pe:20.500.12640/1932
• Enlace del recurso: https://revistas.esan.edu.pe/index.php/jefas/article/view/77; https://hdl.handle.net/20.500.12640/1932; https://doi.org/10.1108/JEFAS-05-2018-0052
• Nivel de acceso: acceso abierto
• Materia: DeLone and McLean model; Seddon model; System use construct; Impact of a business intelligence system; Modelo DeLone y McLean; Modelo seddon; Impacto de un sistema de inteligencia empresarial; Constructo "uso del sistema"; https://purl.org/pe-repo/ocde/ford#5.02.04

Purpose – In this study three models were empirically compared the DeLone and McLean model the Seddon model and the Modified Seddon model by measuring the impact of a business intelligence system (BIS) in companies in Peru. After that the mediators and dependent constructs were analysed todetermine if they were behaving properly (a good level of variance explanation and significant relations with others constructs). The study used a sample of 104 users of the BIS from companies in several important economic sectors in a quasi-voluntary context and with six constructs: information quality system quality service quality system dependence (system use) user satisfaction and perceived usefulness (individual impact). Design/methodology/approach – To interpret the results the authors used structural equations. The idea was to look for the best fit and explanations for the outcomes. The main difference in these models is that the DeLone and McLean model considers system dependence (system use) as a part of information system success but in the Seddonmodel it is a consequence of it. Findings – The Seddon model seems to show the best fit and explanation for the outcomes. After that a review of the system use construct was realised because of its limited variance explained and the few significant relations with other constructs to improve its explanation power in future research. Research limitations/implications – It is estimated that the sample includes more than 15 per cent of all the companies that use a BISs in Peru so the size of the sample is adequate but it is not entirely random and therefore limits the generalizability of outcomes. Besides that a sample size that is bigger could be better for the sake of making a more detailed analysis permitting the use of some items with less power or the use of another statistical procedure for structural equations such as the Asymptotical Distribution Free permitting amore detailed analysis (Hair et al. 2006). Originality/value – Business intelligence (BI) one of the most important components of information systems (IS) is playing a very relevant role in business in this time of high competition high amounts of data and new technology. Currently companies feel pressured to respond quickly to change and complicated conditions in the market needing to make the correct tactical operational and strategic decisions (Chugh and Grandhi 2013). BI is one of the most important drivers of the decade (Gartner 2013). Big companies of IS are creating special units specialised in BI helping companies become more efficient and effective in daily operations.