Publication

Big data for big pharma – harmonizing business process management to enhance ambidexterity

Imen SAFRAOU, Giuseppe FESTA, Maria Teresa CUOMO, ludovico SOLIMA

Big pharma, which comprise the most important companies in the pharmaceutical sector, are ambidextrous organizations by nature. Big data can heavily influence this characteristic by simultaneously requiring adequate business process management. In fact, the impact of big data on business process management can assist big pharma in increasing process efficiency (which is related to the research and development pipeline) and process efficacy (related to product portfolio management). The purpose of this paper is to investigate this possibility and opportunity.

Publication type: 
Scientific Article
Date de parution: 
01/2018
Support: 
Business Process Management Journal