Implementing Big Data Analytics in a Manufacturing Environment: A Theoretical Framework

Abstract

Big data analytics is one of the key technologies of “industry 4.0”. McAfee and Brynjolfsson (2012) stated that a successful adoption would require the right balance between leadership, organizational culture, decision making, technology and talent. Our framework focuses on the aspects of leadership, culture and decision making, relying on the literature of complexity leadership and organizational climate. Our theoretical framework, operationalizes these constructs allowing researchers to investigate
the effectiveness of the implementation of big data analytics in a manufacturing environment using a survey approach.