[4] Univ Waikato, Dept Management Syst, Hamilton, New Zealand
来源:
JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH
|
2020年
/
15卷
/
02期
关键词:
Information systems;
Business systems;
E-Business applications;
Maturity models;
Clustering analysis;
Data mining;
INFORMATION-SYSTEMS;
ADOPTION;
D O I:
10.4067/S0718-18762020000200102
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
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.