Towards an Integrated Maturity Model of System and E-Business Applications in an Emerging Economy

Alejandro Cataldo; César A. Astudillo; Jimmy H. Gutiérrez-Bahamondes; Luis González-Martínez; Robert McQueen

Keywords: information systems, data mining, clustering analysis, maturity models, Business systems, E-Business applications

Abstract

Although there is a great number of maturity models proposed for Information Systems, most of them have three limitations: (1) they are focused on a single or small subset of companies; (2) they do not address the evolution of enterprise systems and e-business applications, simultaneously; (3) they are only focused on developed countries and do not consider emerging economies. We developed a maturity model of Information Systems that addresses these limitations through a data mining approach. The results showed that clustering analysis was an effective method for discovering similar groups of companies according to the set of enterprise systems and e-business applications that they adopted. Two major conclusions can be outlined: Unlike previous models, it has been shown that companies can be grouped only in three stages of maturity. Furthermore, the evolutionary pattern of systems adopted by companies follows a path oriented to obtain greater efficiencies at the expense of those that strengthen the relationship with customers. The results are relevant to practitioners, researchers and policy makers in emerging economies.

Más información

Título según WOS: Towards an Integrated Maturity Model of System and E-Business Applications in an Emerging Economy
Título según SCOPUS: Towards an integrated maturity model of system and E-business applications in an emerging economy
Título según SCIELO: Towards an Integrated Maturity Model of System and E-Business Applications in an Emerging Economy
Título de la Revista: JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH
Volumen: 15
Número: 2
Editorial: MDPI AG
Fecha de publicación: 2020
Página de inicio: 1
Página final: 14
Idioma: English
DOI:

10.4067/S0718-18762020000200102

Notas: ISI, SCIELO, SCOPUS