BIG DATA ANALYTICS AND SUSTAINABLE BUSINESS PERFORMANCE: DOES INTERNAL BUSINESS PROCESS MATTER IN IT?

Abstract

Purpose – The main aim of the investigation is to determine the mediating impact of internal business process on the sustainable business performance using big data analytics such as sensing, seizing and reconfiguring as independent constructs.

Design/Methodology/Technique – Data for conducting research has been assembled through the questionnaires and 438 responses have been received. CFA and SEM has been applied as statistical analysis instrument to test the proposed hypotheses for the study.

Results – The outcomes of the study have shown that internal business process as mediator between independent variables sensing, seizing and reconfiguring as well as dependent variable sustainable business performance directly and indirectly in both ways. Moreover, capabilities like sensing of market data, seizing it and reconfiguring have significant as well as positive influence on business performance as per sustainability. 

Practical implications–This study adds to the existing literature and makes the management understand the importance of BDA, internal business process and sustainable growth of the business performance without impacting the environment.

Originality: It is the study showing the mediating impact of internal business process between big data analytics and sustainability of organizational performance.