Green Transition: The Frontier of the Digicircular Economy Evidenced from a Systematic Literature Review

Felice, Fabio De; Petrillo, Antonella

doi:10.3390/su131911068

Cited by 22 publications

(18 citation statements)

References 105 publications

(99 reference statements)

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“…With the aim of applying the smart circular economy framework to the fresh, new circular economy literature, we took the seven articles recently published in the Sustainability special issue, 'Circular Economy in the Digital Age', and categorized them according to the framework (Table 3). The paper by De Felice and Petrillo [66] investigated how digital technologies can support a circular economy, identifying the current state of the art and defining future research developments in this field. They investigated: (i) the role of the IoT as well as big data and analytics (based on quantum computing) in implementing product eco-design, (ii) new business models based on servitization and supply chain reconfiguration to improve the use of natural resources, (iii) reduction in the pace of emissions to a value lower than the rate at which natural systems can absorb them, and (iv) the recycling of resources at a pace higher than waste generation.…”

Section: Applying the Framework To A Sample Of Articlesmentioning

confidence: 99%

Towards the Smart Circular Economy Paradigm: A Definition, Conceptualization, and Research Agenda

et al. 2022

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The digital age we live in offers companies many opportunities to jointly advance sustainability and competitiveness. New digital technologies can, in fact, support the incorporation of circular economy principles into businesses, enabling new business models and facilitating the redesign of products and value chains. Despite this considerable potential, the convergence between the circular economy and these technologies is still underinvestigated. By reviewing the literature, this paper aims to provide a definition and a conceptual framework, which systematize the smart circular economy paradigm as an industrial system that uses digital technologies during the product life-cycle phases to implement circular strategies and practices aimed at value creation. Following this conceptualization, the classical, underlying circular economy principle, ‘waste equals food’, is reshaped into an equation more fitting for the digital age—that is to say, ‘waste + data = resource’. Lastly, this paper provides promising research directions to further develop this field. To advance knowledge on the smart circular economy paradigm, researchers and practitioners are advised to: (i) develop research from exploratory and descriptive to confirmatory and prescriptive purposes, relying on a wide spectrum of research methodologies; (ii) move the focus from single organizations to the entire ecosystem and value chain of stakeholders; (iii) combine different enabling digital technologies to leverage their synergistic potential; and (iv) assess the environmental impact of digital technologies to prevent potential rebound effects.

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Section: Applying the Framework To A Sample Of Articlesmentioning

confidence: 99%

Towards the Smart Circular Economy Paradigm: A Definition, Conceptualization, and Research Agenda

et al. 2022

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“…This approach is necessary, as a quantitative study, mostly influenced by authors' perspectives, may not provide a detailed account and sufficient evidence of consumers' recycling behaviour. To encourage recycling, especially in organisational settings, institutional factors, such as facilities, should be considered [10,[36][37][38][39]. The understanding of these factors, including their interactions, may inform the design of effective recycling schemes.…”

Section: Implications and Future Researchmentioning

confidence: 99%

“…The current linear economic model is transforming the way products are consumed [39]. For example, consumers are being encouraged to consume more materials even when it is avoidable, through marketing strategies, such as buy-one-get-one-free, resulting in more waste.…”

Section: Implications and Future Researchmentioning

confidence: 99%

Reframing Recycling Behaviour through Consumers’ Perceptions: An Exploratory Investigation

et al. 2021

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Despite the increasing awareness of the consequences of waste, there is no consensus on how and why consumers engage in recycling, making it challenging to design behavioural interventions that might promote recycling, especially in organisational settings. This study is designed to explain consumers’ recycling behaviour and how it differs across contexts, particularly between home and work settings. Using personal accounts of 367 employees from different organisations in the UK, this study explores recycling behaviour at home and work including its motivations and barriers. The findings show that recycling behaviour is different across contexts due to many disparate factors underlying people’s waste generation and recycling behaviours from one context to another. According to the findings, buying and consumption behaviour and waste generation patterns influence the way consumers engage in recycling. The study further demonstrates that contextual factors and individual circumstances are important contributors to consumption behaviour, waste production, and recycling behaviour. While recycling behaviour has been investigated extensively, the findings of this study indicate the need for consumption and waste production patterns to be taken into consideration when designing recycling interventions, enhancing the prospect of a circular economy. This study contributes to theory and practice by associating recycling behaviour with buying and consumption behaviour, including waste generation patterns.

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“…Therefore, The following contributions describe the contributions in this field. Due to the digital age, a proposal for achieving a digital circular economy in [32]. A comprehensive study on digital technologies beneficial for a digital circular economy is presented at [33].…”

Section: Background and Research Gapsmentioning

confidence: 99%

Sustainable Circular Micro Index for Evaluating Virtual Substitution Using Machine Learning with the Path Planning Problem as a Case Study

Maldonado-Romo

Aldape-Pérez

2021

Sustainability

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Due to the problems resulting from the COVID-19 pandemic, for example, semiconductor supply shortages impacting the technology industry, micro-, small-, and medium-sized enterprises have been affected because the profitability of their business models depends on market stability. Therefore, it is essential to propose alternatives to mitigate the various consequences, such as the high costs. One attractive alternative is to replace the physical elements using resource-limited devices powered by machine learning. Novel features can improve the embedded devices’ (such as old smartphones) ability to perceive an environment and be incorporated in a circular model. However, it is essential to measure the impact of substituting the physical elements employing an approach of a sustainable circular economy. For this reason, this paper proposes a sustainable circular index to measure the impact of the substitution of a physical element by virtualization. The index is composed of five dimensions: economic, social, environmental, circular, and performance. In order to describe this index, a case study was employed to measure the path-planning generator for micro aerial vehicles developed using virtual simulation using machine-learning methods. The proposed index allows considering virtualization to extend the life cycle of devices with limited resources based on suggested criteria. Thus, a smartphone and the Jetson nano board were analyzed as replacements of specialized sensors in controlled environments.

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Green Transition: The Frontier of the Digicircular Economy Evidenced from a Systematic Literature Review

Cited by 22 publications

References 105 publications

Towards the Smart Circular Economy Paradigm: A Definition, Conceptualization, and Research Agenda

Towards the Smart Circular Economy Paradigm: A Definition, Conceptualization, and Research Agenda

Reframing Recycling Behaviour through Consumers’ Perceptions: An Exploratory Investigation

Sustainable Circular Micro Index for Evaluating Virtual Substitution Using Machine Learning with the Path Planning Problem as a Case Study

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