The impact of big data on world-class sustainable manufacturing

Big data (BD) has attracted increasing attention

from both academics and practitioners. This paper aims at

illustrating the role of big data analytics in supporting world-class

sustainable manufacturing (WCSM). Using an extensive

literature review to identify different factors that enable the

achievement of WCSM through BD and 405 usable responses

from senior managers gathered through social networking

sites (SNS), we propose a conceptual framework using constructs

obtained using reduction of gathered data that summarizes

this role; test this framework using data which is heterogeneous,

diverse, voluminous, and possess high velocity; and

highlight the importance for academia and practice. Finally,

we conclude our research findings and further outlined future

research directions.