The Circular Economy Business Model: Examining Consumers’ Acceptance of Recycled Goods

Calvo-Porral, Cristina; Lévy-Mangín, Jean-Pierre

doi:10.3390/admsci10020028

Cited by 81 publications

(93 citation statements)

References 44 publications

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“…In recent years, it has been shown that recycled materials are increasingly well accepted by consumers in our countries and throughout the world [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Physicochemical and Mineralogical Properties of the Materials Used in the Preparation of Recoblocks

et al. 2020

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The construction sector generates 14,000 t/d of construction waste in Mexico City, these materials do not have real applications and end up accumulating in landfills. This work, the objective of which was to analyze the physicochemical and mineralogical properties of soil and construction waste used in the manufacture of Recoblocks, is divided in five stages. First, the excavation material was submitted to field tests. Physical and chemical tests were then carried out on construction waste. Subsequently, the optimal mixture for making Recoblocks was determined. Next, Recoblocks were evaluated and compared with blocks made with water only, without mucilage of Opuntia ficus, and finally a feasibility study was performed. The X-ray diffraction study showed the presence of plagioclase, minerals that improve bending resistance, hardness, durability, as well as resistance to stress in a material. Compared to blocks manufactured without mucilage, the use of Opuntia ficus mucilage increased the compressive strength of the material by 59%, as well as the erodibility. Recoblocks are an environmentally friendly option because they are based on recycled materials, dried under the sun, which eliminates the use of brick oven. The production cost per unit is just USD 0.19, so it is a viable option as a building material.

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“…In recent years, it has been shown that recycled materials are increasingly well accepted by consumers in our countries and throughout the world [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Physicochemical and Mineralogical Properties of the Materials Used in the Preparation of Recoblocks

et al. 2020

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“…This approach also resulted in reduced carbon footprint and chemical processing thereby promoting green procurement and manufacturing. Recent studies also confirm that recycling and reuse of materials in manufacturing results in resource conservation, reduced carbon emissions, cleaner production processes and environmental protection (Mativenga et al , 2017; Oberholzer et al , 2017; Garcés-Ayerbe et al , 2019; Calvo-Porral and Lévy-Mangin, 2020; Kristoffersen et al , 2020).…”

Section: Results and Interpretationmentioning

confidence: 84%

Leveraging green skills in response to the COVID-19 crisis: a case study of small and medium enterprises in Harare, Zimbabwe

Manyati

Mutsau

2021

JEEE

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Purpose The sustainable skills that informal manufacturers use in volatile times remain poorly understood. This study explored the skills that the informal manufacturers used to navigate the uncertain business environment during the COVID-19 pandemic. Design/methodology/approach A total of 27 telephone interviews were conducted with informal entrepreneurs who were manufacturers of agricultural machinery at Mbare Magaba and Gaza home industry in Harare, Zimbabwe. Purposive and snow ball sampling were used to identify information rich sources. The authors used thematic analysis in identifying recurrent themes from this study. Findings The study results show that business agility motivated most informal manufacturers to restructure their business to sustain their operations. With the closure of formal companies, the informal manufacturers adopted slowing and narrowing loops through purchasing broken down agricultural machines for repairs or remanufacturing of durable machines for their low-income customer base. Most young and formally trained manufacturers adopted a prospector strategic behaviour as they used digital platforms to network with business associates for supplies, gathering market intelligence, making and receiving electronic payments and establishing virtual distant markets whilst the older manufacturers resorted mostly to a defender strategic behaviour of engaging their usual customers for repair jobs and a few referrals. Originality/value This study offers unique insights with respect to skills required for the sustainable and strategic management of small and medium enterprises during times of crisis.

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“…Currently there are already academic studies focusing on the development of robots that can make such classification [44], or those that applying deep learning techniques in the automation of the process [45], and even applied to agricultural policy, undoubtedly affecting sustainability [46]. As indicated by [47] "gain environmental, energy, and economic benefits" or [48] "the important role of consumers in circular economy business models through the examination of consumers' acceptance of recycled goods", this system allows automatic and individual recycling; and as shown by the study of [49] this recycling can even help convert waste into energy. A circular economy based on the self-recycling of elements that today are wasted and thrown directly into the garbage can be very positive if combined with other measures in favor of the environment such as incentives for low polluting vehicles [50], new and more sustainable ways of transportation [51], which will undoubtedly result in a better welfare state [52].…”

Section: Discussionmentioning

confidence: 99%

Digitalization, Circular Economy and Environmental Sustainability: The Application of Artificial Intelligence in the Efficient Self-Management of Waste

Alonso

Forradellas

Morell³

et al. 2021

Sustainability

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The great advances produced in the field of artificial intelligence and, more specifically, in deep learning allow us to classify images automatically with a great margin of reliability. This research consists of the validation and development of a methodology that allows, through the use of convolutional neural networks and image identification, the automatic recycling of materials such as paper, plastic, glass, and organic material. The validity of the study is based on the development of a methodology capable of implementing a convolutional neural network to validate a reliability in the recycling process that is much higher than simple human interaction would have. The method used to obtain this better precision will be transfer learning through a dataset using the pre-trained networks Visual Geometric Group 16 (VGG16), Visual Geometric Group 19 (VGG19), and ResNet15V2. To implement the model, the Keras framework is used. The results conclude that by using a small set of images, and thanks to the later help of the transfer learning method, it is possible to classify each of the materials with a 90% reliability rate. As a conclusion, a model is obtained with a performance much higher than the performance that would be reached if this type of technique were not used, with the classification of a 100% reusable material such as organic material.

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The Circular Economy Business Model: Examining Consumers’ Acceptance of Recycled Goods

Cited by 81 publications

References 44 publications

Analysis of the Physicochemical and Mineralogical Properties of the Materials Used in the Preparation of Recoblocks

Analysis of the Physicochemical and Mineralogical Properties of the Materials Used in the Preparation of Recoblocks

Leveraging green skills in response to the COVID-19 crisis: a case study of small and medium enterprises in Harare, Zimbabwe

Digitalization, Circular Economy and Environmental Sustainability: The Application of Artificial Intelligence in the Efficient Self-Management of Waste

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