INTEGRAÇÃO DE BIG DATA PARA IMPULSIONAR A ECONOMIA CIRCULAR NO AMBIENTE CONSTRUÍDO
DOI:
https://doi.org/10.46421/entac.v18i.1200Palavras-chave:
Big data, BAMB, economia circular, ambiente construídoResumo
Este estudo propõe a integração da economia circular (EC), por meio do projeto BAMB (Building as Materials Bank) e grandes volumes de dados, também conhecidos como big data. O artigo integra tendências conceituais em relação: (a) as ferramentas circulares do BAMB; (b) os atributos do big data: volume, variedade, velocidade, veracidade, valor e variabilidade (6 Vs) e, (c) os stakeholders da construção civil. As contribuições incluem (1) a introdução de um diagrama teórico para aprimorar o entendimento da relação EC-big data; e (2) uma matriz relacional que ilustra a complexidade do gerenciamento de dados e das ferramentas circulares. A integração big data-BAMB-stakeholders fornece direcionamentos para que acadêmicos e profissionais introduzam a análise de dados nas estratégias e modelos de negócios circulares, buscando inserir práticas circulares e a sustentabilidade no ambiente construído.
Referências
BAMB BUILDING AS MATERIAL BANKS. Enabling a circular building industry, [S.l.], 2020.
Disponível em: <https://www.bamb2020.eu/>. Acesso em: 11 mai. 2020.
BILAL, Muhammad et al. Big data architecture for construction waste analytics (CWA): A conceptual framework. Journal of Building Engineering, v. 6, p. 144-156, 2016.
EMF ELLEN MACARTHUR FOUNDATION. Growth within: a circular economy vision for a competitive Europe. [S.l]: Ellen MacArthur Foundation, 2015. Relatório técnico. Disponível em: <https://www.sun-institute.org/media/growth_within_for_print1.pdf>. Acesso em: 26 set. 2020.
GANDOMI, Amir; HAIDER, Murtaza. Beyond the hype: Big data concepts, methods, and analytics. International journal of information management, v. 35, n. 2, p. 137-144, 2015.
GUPTA, Shivam et al. Circular economy and big data analytics: A stakeholder perspective.
Technological Forecasting and Social Change, v. 144, p. 466-474, 2019.
JABBOUR, Charbel Jose Chiappetta et al. Unlocking the circular economy through new business models based on large-scale data: an integrative framework and research agenda.
Technological Forecasting and Social Change, v. 144, p. 546-552, 2019.
MCAFEE, Andrew; BRYNJOLFSSON, Erik. Big data: the management revolution. Harvard business review, v. 90, n. 10, p. 60-68, 2012.
MISHRA, Deepa et al. A bibliographic study on big data: concepts, trends and challenges.
Business Process Management Journal, v. 23, n. 3, p. 555-573, 2017.
MUNARO, Mayara Regina; TAVARES, Sérgio Fernando; BRAGANÇA, Luís. Towards circular and more sustainable buildings: A systematic literature review on the circular economy in the built environment. Journal of Cleaner Production, p. 121134, 2020.
NOBRE, Gustavo Cattelan; TAVARES, Elaine. Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study. Scientometrics, v. 111, n. 1, p. 463-492, 2017.
RUSSOM, Philip et al. Big data analytics. TDWI best practices report, fourth quarter, v. 19, n. 4, p. 1-34, 2011.
SALMINEN, Vesa; RUOHOMAA, Heikki; KANTOLA, Jussi. Digitalization and big data supporting responsible business co-evolution. In: Advances in Human Factors, Business Management, Training and Education. Springer, Cham, 2017. p. 1055-1067.
TECHAMERICA FOUNDATION. Demystifying Big Data: a practical guide to transforming the business of government. Washington, DC: TechAmerica Foundation: Federal Big Data Commission, 2012. Relatório técnico. Disponível em: <https://bigdatawg.nist.gov/_uploadfiles/M0068_v1_3903747095.pdf>. Acesso em: 26 set. 2020.
WAMBA, Samuel Fosso et al. How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, v. 165, p. 234-246, 2015.
WHITE, Martin. Digital workplaces: Vision and reality. Business information review, v. 29, n. 4, p. 205-214, 2012.