engleski

Preliminary Analysis of Data Mining Adoption in Italian SMEs Using PLS-SEM Method

Data mining has become the omnipresent requirement in the business environment of abundant data. At the beginning of data mining development, the one- solution approach was mostly used. In the last 20 years, mostly due to the development of various educational programs and the availability of open- source software, data mining has evolved into a mature-leveled software solution that does not necessarily require high-level expertise since numerous prototype solutions have emerged. Small and medium enterprises (SMEs) are still lagging behind large companies in data mining implementation, which raises the question of the determinants of data mining adoption. This paper aims to test the preliminary model of data mining adoption using the Technology-Organization- Environment framework. The survey on the sample of Italian SMEs was conducted to test the model, and the collected company data was analyzed using the PLS-SEM approach.

data mining, adoption, SMEs, TOE framework, PLS-SEM

nije evidentirano