Investigating the potential of technologies in circular economy’s rebound effect dimensions Mariantonietta Ferrante 1[0009-0004-2107-8461] , Micaela Vitti 1[0000-0001-5744-054X] , Francesco Facchini 1[0000-0001-5783-7651] and Claudio Sassanelli 1[0000-0003-3603-9735] 1 Department of Mechanics, Mathematics, and Management, Polytechnic University of Bari, Via Orabona, 4 70126, Bari, Italy m.ferrante6@phd.poliba.it Abstract. Circular economy (CE) is a model of production and consumption for closing material loops based on reducing, reusing, and recycling resources to achieve benefits. Currently, CE is widely adopted in manufacturing, taking the name of Circular Manufacturing (CM). Nevertheless, the effectiveness of circular strategies could be hampered by the occurrence of the rebound effect (RE). RE is defined as an undesirable increase in consumption of resources due to im- proved efficiency. The identification and prevention of the occurrence of REs is crucial to ensuring the effectiveness of CM strategies. Although the interest on this research topic is raising, there is still a limited knowledge on how to cope with the RE of CE. To this concern, this paper aims to detect the most suitable technologies to prevent the occurrence of RE while adopting CE. To address this objective, a systematic literature review has been conducted to identify and as- sign technologies (classified in the four reference groups driving the adoption of CM) to each of the five dimensions of the CE-RE domain (i.e., business models, drivers, product lifecycle management, circular manufacturing ecosystem, and socio-economic aspects). Therefore, the detected technologies could be exploited by researchers and practicioners to cope with the different RE mechanisms. Keywords: Circular economy, Rebound effect, Circular manufacturing, Tech- nology. 1 Introduction Circular economy (CE) is a model currently widespread in the manufacturing industry to optimize the use of resources and minimize waste generation [1]. Data-driven Circu- lar manufacturing (CM) recently became a research topic, pushed by the several tech- nologies involved to implement different CM strategies (e.g., remanufacturing, prod- uct-service-system (PSS)-based business models (BM) [2], and recycle) [3]. Despite the environmental, economic, and social benefits achievable by implementing CM strategies, also negative consequences could arise, among which the so-called Rebound Effect (RE). A RE is defined in the energy-economics sector as an efficiency improve- ment that reduces prices and increases consumer demand unexpectedly [4]. It is crucial