Track: Data Analytics and Big Data

Abstract

Big data has become a thrilling milestone for gaining new opportunities and improving performance. Recent research indicated that big data analytics—the fourth paradigm of science—has the potential to develop business practices and sustainable operations; yet, concerning its contribution to developing sustainable products, there is a notable lack of knowledge and uncertainty. Thus, this study aims to investigate the contribution of big data analytics to developing sustainable products; the products that benefit the triple bottom line, i.e., economy, environment, and society. As such, the method of the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution is employed. The findings revealed that big data analytics could make a considerable contribution to developing the efficiency of product end-of-life management, among other product sustainability criteria identified. Such an appraisal, which is of critical importance to sustainable development, can be beneficial to decision makers and those who are keen to gain a better knowledge of big data analytics and its contribution to developing sustainable products.