A Risk and Benefits Behavioral Model to Assess Intentions to Adopt Big Data

José Esteves, José Curto


Everyday a constant stream of data is generated as a result of social interactions, Internet of things, e‐commerce and other business processes. This vast amount of data should be collected, stored, transformed, monitored and analyzed in a relatively brief period of time. Reason behind is data may contain the answer to business insights and new ideas fostering competitiveness and innovation. Big Data technologies/methodologies have emerged as the solution to this need. However, being a relatively new trend there is still much that remains unknown. This study, based on a risk and benefits perspective, uses the theory of planned behavior to develop a model that predicts the intention to adopt Big Data technologies.

Full Text:


DOI: https://doi.org/10.37380/jisib.v3i3.74


  • There are currently no refbacks.
Cookies are small text files that are placed on your computer by websites that you visit. They are widely used in order to make websites work, or work more efficiently, as well as to provide information to the owners of the site.

JISIB is indexed by Web of Science (Emerging list), ESCI, SCOPUS, EBSCO, DOAJ, Google Scholar, EconBib and SCImago, and is ranked as a Level 1 publication by the Norwegian Social Science Data Services and the Finnish Publication Forum. 



 Journal Index by SCIMAGO