979-8-3503-1335-2/23/$31.00 ©2023 IEEE Effective usage of Big Data analytics in Circular Economy Dr. Katerina Beta College of Business and Law Coventry University Coventry, United Kingdom ad8832@coventry.ac.uk T.D.B Weerasinghe Chartered Computer Engineer Senior Member - IEEE Perth, Australia tharindu.weerasinghe@gmail.com Sakthi Shalini Nagaraj Supply chain management School of Engineering, Environment and Computing, Coventry University Coventry, United Kingdom ae1750@coventry.ac.uk Amalsha Amaratunge MBA - Artificial Intelligence Coventry University Coventry, United Kingdom) Amaratunga@uni.coventry.ac.uk Abstract—Circular Economy (CE) is a much-discussed topic among the contemporary academia and industry with the emerging threats of the scarcity of global natural resources and monetary capabilities of small and medium scale industries around the globe. With the fifth industrial revolution, which we refer to it as the Industry5.0, the phenomena in the likes of sustainability, human-centric and resilience are in the forefront. Thus, it is obvious that the Circular Economy plays a vital role in the Industry5.0 framework. As it pivots around AI and other emerging technologies it is important to know how we can effectively use Big Data analytics to get the best out of Circular Economy. In this research we have focused on the initial steps of recognizing the key facts that Big Data analytics can be used effectively in Circular Economy in the aspect of the Supply Chain focusing on a systematic literature review through the use of several case studies and journals and using a qualitative approach. Keywords—Circular Economy, Big Data, Big Data In Circular Economy I. INTRODUCTION AND LITERATURE Industry 5.0 which has already began being effected by most organizations focuses on the triple bottom line of sustainability to every business operation model alongside the implementation of Industry 4.0 technologies, like, Inter of Things (IoT) and Big Data. Big Data can be regarded as data sets that are hard to be processed using traditional data processing techniques. Digitalization of supply chain is often recognised by researchers recently as the effective way to overcome the sustainability challenges. Implementing circularity in business operations is aimed as part of the sustainability goals established by the United Nations [1]. Several studies focus on the role of Industry 4.0 technologies in Supply chain management and several others focus more onto the achievement of circular economy in particular [2]. Yuan and Pan [3] have identified how digital technologies can positively impact the supply chain risk management, while also mitigating the negative effect of supply chain integration for circular economy. The practical strategies on how the digital technologies can be implemented successfully have also been explored by Nayal [1]. However, Agnusdei et al. [4] have emphasized on how these technologies can be obstacles in wider implementation of themselves in circular business model. Given the heterogeneous characteristics of these digital technologies, and the circular business models where they will be implemented, the choice and suitability of the digital technologies become quiet challenging for businesses. Nobre and Tavares [5] proved a disconnection between important industrial initiatives and the scientific researches available on the context of application of IoT and big data to achieve circular economy. There are very limited studies that highlight the importance and benefits/capabilities of any selective technology. The objective of this study will be to evaluate the role of big data among other technologies as well as to discover its capabilities in achieving circularity in digitalized supply chains. The study requires knowledge on the level of awareness, expectations and readiness among the business stakeholders in incorporating big data analytics, while also understanding the capabilities of big data within the context of circular economy for supply chains. This is planned to be achieved using secondary data (a systematic literature review). Circular Economy (CE) is an economic system that substitutes reducing, alternatively reusing, recycling, and recovering materials in production/distribution and consumption processes for the "end-of-life" idea [6]. Regenerative, restorative, and sustainable economic actions are central to the CE paradigm [7]. The secret is to make the most of the available resources while still adding value to end-of-life products. There has always been a need to identify different external influences that have an impact on business operations and overall functioning because every firm must operate in accordance with its external environment. As a result, various stakeholders will need to take a supportive and cooperative posture towards a change in the fundamental approach to business operations [8]. The problem of sustainability must be addressed together, and CE cannot be properly implemented in isolation. Businesses all over the world are focused on the CE to save resources, become sustainable, and boost financial performance in order to fulfil the interests of all value chain stakeholders [9]. Traditional production methods rely on a linear economy, in which product parts are wasted at the end of their useful lives [10]. Contrary to the linear economy, the CE involves creating material loops to reuse, remanufacture, or recycle parts and materials from old items to make new ones [11]. The CE material loops reduce waste by reusing outdated components from used goods, which saves natural resources and rare virgin raw materials [12]. Therefore, the combined