Assessing the environmental and economic sustainability of autonomous systems: A case study in the agricultural industry

Saidani, Michael; Pan, Erik; Kim, Hyung Min; Greenlee, Andrew J.; Wattonville, Jason; Yannou, Bernard; Leroy, Yann; Cluzel, François

doi:10.1016/j.procir.2020.02.123

Cited by 13 publications

(5 citation statements)

References 8 publications

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“…Yet, one has to bear in mind that customers' inclination for sustainability attributes cannot guarantee their veracity. As illustrated in Figure 8, it becomes essential to further study and quantify the potential correlations or mismatches between: (i) the environmental claims made by manufacturers or retailers (e.g., in the product description or through an ecolabel), (ii) the perception [21] of sustainable features by consumers (e.g., captured through online product reviews), and (iii) the real impact of products on the environment (e.g., quantified through life cycle assessment [22]).…”

Section: Discussionmentioning

confidence: 99%

Can Online Customer Reviews Help Design More Sustainable Products? A Preliminary Study on Amazon Climate Pledge Friendly Products

Saidani

Kim

Ayadhi

et al. 2021

Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)

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Online product reviews are a valuable resource for product developers to improve the design of their products. Yet, the potential value of customer feedback to improve the sustainability performance of products is still to be exploited. The present paper investigates and analyzes Amazon product reviews to bring new light on the following question: “What sustainable design insights can be identified or interpreted from online product reviews?”. To do so, the top 100 reviews, evenly distributed by star ratings, for three product categories (laptop, printer, cable) are collected, manually annotated, analyzed and interpreted. For each product category, the reviews of two similar products (one with environmental certification and one standard version) are compared and combined to come up with sustainable design solutions. In all, for the six products considered, between 12% and 20% of the reviews mentioned directly or indirectly aspects or attributes that could be exploited to improve the design of these products from a sustainability perspective. Concrete examples of sustainable design leads that could be elicited from product reviews are given and discussed. As such, this contribution provides a baseline for future work willing to automate this process to gain further insights from online product reviews. Notably, the deployment of machine learning tools and the use of natural language processing techniques to do so are discussed as promising lines for future research.

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Section: Discussionmentioning

confidence: 99%

Can Online Customer Reviews Help Design More Sustainable Products? A Preliminary Study on Amazon Climate Pledge Friendly Products

Saidani

Kim

Ayadhi

et al. 2021

Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)

Self Cite

View full text Add to dashboard Cite

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“…Autonomous Robots are often analysed in relation to environmental sustainability, in both manufacturing (Hartmann et al. , 2021) and agriculture (Saidani et al. , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Some studies investigate the contribution of AR to education and tourism (Abad-Segura et al, 2020;Alahmari et al, 2019). Autonomous Robots are often analysed in relation to environmental sustainability, in both manufacturing (Hartmann et al, 2021) and agriculture (Saidani et al, 2020). Empirical research on the influence of Big Data on environmental and social sustainability is still in its infancy (Song and Zhu, 2017).…”

Section: Industry 40 Enabling Technologies and Sustainabilitymentioning

confidence: 99%

Industry 4.0 technologies as a lever for sustainability in the communication of large companies to stakeholders

Piccarozzi

Stefanoni

Silvestri

et al. 2023

EJIM

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PurposeTechnological innovation, digitalisation and the Industry 4.0 revolution radically changed business management and contributed to the achievement of sustainability goals. While many studies analyse technological innovation, and Industry 4.0 in particular, the technical aspects of its contribution/impact on sustainability remains partially analysed, especially in relation to Industry 4.0 enabling technologies. This study investigates the contribution of Industry 4.0 enabling technologies on sustainability in innovative firms.Design/methodology/approachThe sustainability reports of the 50 most innovative companies based on Boston Consulting Group (BCG)'s 2022 raking is analysed through a content analysis. In the reports, enabling technologies are analysed in relation to their contribution to sustainability.FindingsThe results shed light on the application of Industry 4.0 enabling technologies in sustainability practices based on the communication in the firms' sustainability reports. The results indicate that enabling technologies support the three pillars of sustainability in different business processes.Research limitations/implicationsThe results have theoretical and managerial implications that broaden the study of enabling technologies and sustainability while also suggesting a future research agenda.Originality/valueThis study aims to address the gap in the literature regarding the contribution of Industry 4.0 enabling technologies to sustainability.

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“…On the other hand, as there is no agreed definition of common attributes for "sustainable products", nor an exhaustive list for such attributes, it remains challenging to build an ad-hoc and robust evaluation system. In this line, to validate the fact that some features contribute to the sustainability of a product, it could become interesting to link this machine learning approach with life cycle analysis [27] to quantify and compare the environmental footprint of a product claiming to be "eco-friendly" to its standard version.…”

Section: Model Evaluationmentioning

confidence: 99%

Can Machine Learning Tools Support the Identification of Sustainable Design Leads From Product Reviews? Opportunities and Challenges

Saidani

Kim

Yannou

2021

Volume 3A: 47th Design Automation Conference (DAC)

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The increasing number of product reviews posted online is a gold mine for designers to know better about the products they develop, by capturing the voice of customers, and to improve these products accordingly. In the meantime, product design and development have an essential role in creating a more sustainable future. With the recent advance of artificial intelligence techniques in the field of natural language processing, this research aims to develop an integrated machine learning solution to obtain sustainable design insights from online product reviews automatically. In this paper, the opportunities and challenges offered by existing frameworks — including Python libraries, packages, as well as state-of-the-art algorithms like BERT — are discussed, illustrated, and positioned along an ad hoc machine learning process. This contribution discusses the opportunities to reach and the challenges to address for building a machine learning pipeline, in order to get insights from product reviews to design more sustainable products, including the five following stages, from the identification of sustainability-related reviews to the interpretation of sustainable design leads: data collection, data formatting, model training, model evaluation, and model deployment. Examples of sustainable design insights that can be produced out of product review mining and processing are given. Finally, promising lines for future research in the field are provided, including case studies putting in parallel standard products with their sustainable alternatives, to compare the features valued by customers and to generate in fine relevant sustainable design leads.

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Assessing the environmental and economic sustainability of autonomous systems: A case study in the agricultural industry

Cited by 13 publications

References 8 publications

Can Online Customer Reviews Help Design More Sustainable Products? A Preliminary Study on Amazon Climate Pledge Friendly Products

Can Online Customer Reviews Help Design More Sustainable Products? A Preliminary Study on Amazon Climate Pledge Friendly Products

Industry 4.0 technologies as a lever for sustainability in the communication of large companies to stakeholders

Can Machine Learning Tools Support the Identification of Sustainable Design Leads From Product Reviews? Opportunities and Challenges

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