[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117768-en":3,"doc-seo-117768-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},117768,1099513958762,"Logic","https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253",8,"Research & Report","A REVIEW OF THE USE OF MACHINE LEARNING TECHNIQUES IN ECO-INNOVATION RESEARCH - Paper","Machine learning serves as a powerful artificial-intelligence approach for improving prediction accuracy and analyzing complex datasets beyond human capability. Against the backdrop of climate change, eco-innovation and environmental innovation are presented as key mechanisms to reduce business impacts on natural environments and support sustainable development. This review asks whether machine learning is linked to eco-innovation research and evaluates its role in understanding eco-innovation triggers, barriers, and characteristics through bibliometric analysis.","BMT22  \n4th International Conference Business Meets Technology Ansbach, 7th – 9th July 2022  \nA REVIEW OF THE USE OF MACHINE LEARNING TECHNIQUES IN ECO-INNOVATION RESEARCH  \nDiez Martinez, Inés a and Peiró Signés, Ángel b  \naUniversitat Politècnica de València, Spain ([indiemar@alumni.upv.es](indiemar@alumni.upv.es))  \nbUniversitat Politècnica de València, Spain ([anpeisig@omp.upv.es](anpeisig@omp.upv.es))  \nABSTRACT: Machine learning is a powerful tool used across research all over the world. Machine learning algorithms are a form of artificial intelligence that allows more accurate predictions of causal conditions of all kinds, being able to analyze complex data samples beyond what a human could do. Machine learning mimics human reasoning by creating a neural network, and this has proven to be a useful technique to solve complex problems.  \nThe thread of climate change is one of the most complex problems that humanity is currently facing. On one hand, we need the industries and the market to continue to function to guarantee covering the needs of the population, and its continued development. On the other hand, this development must guarantee the conservation of the planet and its habitability conditions, which are essential for the continued existence of a world to be left to future generations. Reducing the harmful effects that business-related activities have on the natural environment is key to guarantee a sustainable future, and this done, among other elements, through eco-innovation techniques.  \nTherefore, both machine learning and eco-innovation are striving topics across researchers nowadays, but: Are these two topics linked to each other? Is machine learning used as a tool to support a better understanding of eco-innovation (i.e., environmental innovation)?  \nThis review aims to understand what is the role that machine learning has in the context of ecoinnovation.  \nResults show that machine learning is not a widely used technique in the field of eco-innovation research and that there is a wide spectrum of research in which machine learning could be used in the future alongside the increasing research linked to eco-innovation.  \nKeywords: Machine learning; Sustainability; Innovation; Eco-innovation; Environmental innovation  \nHow to cite: Diez Martinez, Inés and Peiró Signés, Ángel. 2022. A review of the use of machine learning techniques in eco-innovation research. In Proc.: 4th International Conference Business Meets Technology. Ansbach, 7th – 9th July  \n2022. Doi: [https://doi.org/10.4995/BMT2022.2022.15550](https://doi.org/10.4995/BMT2022.2022.15550)  \n 2022, Editorial Universitat Politècnica de València  \nDiez Martinez, Ines and Peiro Signes, Angel  \n1. PURPOSE OF THE PAPER  \nThe purpose of this paper is to better understand how machine learning is used in the context of research linked to eco-innovation through an analysis of bibliometric results.  \nEco-innovation and environmental innovation practices are those that meet the demand of quality and sustainable products and services, using innovations, and while protecting the environment (Martínez-Pérez, García-Villaverde, and Elche, 2015) .  \nEco-innovation (i.e., environmental innovation) is key to be able to reach the sustainable development goals set out by global leaders. Nevertheless, sustainability comes along in many dimensions and through the entire value chain of processes and products. Depending on factors such as the economic sector, the geographical location, the characteristics of the infrastructure, the availability of resources or the R&D budget environmental orientation may be approached differently by each specific firm. As the saying of Ortega y Gasset goes,“I am myself and my circumstances”: Each company has a specific situation and its orientation towards environmental practices may defer depending on the company’s external and internal factors. Environmental innovation of companies comes through many perspectives and may be done different","cbCaig9Yb9hwHagl","https://ap.wps.com/l/cbCaig9Yb9hwHagl","pdf",625236,1,11,"English","en",105,"# Purpose of the paper\n## Definitions and context\n# Related work\n## Machine learning methodologies\n# Research questions and scope\n## Role in eco-innovation research","[{\"question\":\"What is the main goal of the paper?\",\"answer\":\"The paper aims to understand how machine learning is used in eco-innovation-related research through bibliometric analysis, clarifying its role in studying triggers, barriers, and characteristics.\"},{\"question\":\"Why are machine learning methods considered useful for eco-innovation research?\",\"answer\":\"Eco-innovation research involves complex, multidimensional factors across value chains and firms, producing datasets that are difficult to analyze manually, making machine learning a potentially viable tool.\"},{\"question\":\"What do the results indicate about machine learning use in eco-innovation research?\",\"answer\":\"The review finds that machine learning is not yet widely used in eco-innovation research, while identifying a broad future spectrum of research where it could be applied alongside growing eco-innovation studies.\"}]","A REVIEW OF THE USE OF MACHINE LEARNING TECHNIQUES IN ECO-INNOVATION RESEARCH - 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