Abstract
Although extensive research has been carried out on big data analytics applications in different areas, a gap is identified in the literature regarding its application in the context of circular economy. Therefore, this article presents a literature review regarding the applicability of big data analytics in circular business models. In this context, the research was focused on the fashion industry, one of the main industries that face social and environmental challenges related to sustainability, and that it is identifying how to embrace circularity in their strategies and value creation. From the literature review, the functionalities, processes, barriers, and data sources in this area are described in a proposed taxonomy. From this study, it is expected to provide further insights and support for companies in the process of transitioning to circular economy, by clarifying how circular business models can be improved from big data analytics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gupta, S., Chen, H., Hazen, B.T., Kaur, S., Gonzalez, E.D.S.: Circular Economy and Big Data Analytics: A Stakeholder Perspective, pp. 466–474. Elsevier (2019)
Gillan, S.L., Koch, A., Starks, L.T.: Firms and social responsibility: a review of ESG and CSR research in corporate finance. J. Corp. Finan. 101889 (2021)
EMF: Towards the circular economy: Accelerating the scale-up across global supply chains. Ellen MacArthur Foundation (EMF) Isle of Wight, UK (2014)
Koszewska, M.: Circular economy in textiles and fashion-the role of a consumer. In: Circular Economy in Textiles and Apparel, pp. 183–206. Elsevier (2019)
McDonough, W., Braungart, M.: Cradle to Cradle: Remaking the Way we Make Things. North point press (2010)
Diddi, S., Yan, R.N.: Consumer Perceptions Related to Clothing Repair and Community Mending Events: A Circular Economy Perspective, p. 5306. Multidisciplinary Digital Publishing Institute (2019)
Awan, U., Shamim, S., Khan, Z., Zia, N.U., Shariq, S.M., Khan, M.N.: Big data analytics capability and decision-making: the role of data-driven insight on circular economy performance. Technol. Forecast. Social Change 168, 120–766 (2021)
Modgil, S., Gupta, S., Sivarajah, U., Bhushan, B.: Big Data-Enabled Large-Scale Group Decision Making for Circular Economy: An Emerging Market Context, p. 120607. Elsevier (2021)
Acerbi, F., Sassanelli, C., Terzi, S., Taisch, M.: A systematic literature review on data and information required for circular manufacturing strategies adoption. Sustainability 13(4), 2047 (2021)
Jabbour, C.J.C., de Sousa Jabbour, A.B.L., Sarkis, J., Godinho Filho, M.: Unlocking the circular economy through new business models based on large-scale data: an integrative framework and research agenda. Technol. Forecast. Social Change 144, 546–552 (2019)
Saha, K., Dey, P.K., Papagiannaki, E.: Implementing Circular Economy in the Textile and Clothing Industry. Wiley Online Library (2020)
Chen, X., Memon, H.A., Wang, Y., Marriam, I., Tebyetekerwa, M.: Circular economy and sustainability of the clothing and textile industry. Mater. Circ. Econ. 3(1), 1–9 (2021)
Moorhouse, D.: Making fashion sustainable: waste and collective responsibility. One Earth 3(1), 17–19 (2020)
Sandvik, I.M., Stubbs, W.: Circular Fashion Supply Chain Through Textile-to-Textile Recycling. Emerald Publishing Limited (2019)
Bonviu, F.: The European economy: from a linear to a circular economy. Romanian J. Eur. Aff. 14, 78 (2014)
Morseletto, P.: Targets for a Circular Economy, p. 104553. Elsevier (2020)
Thorisdottir, T.S., Johannsdottir, L.: Sustainability Within Fashion Business Models: A Systematic Literature Review, p. 2233. Multidisciplinary Digital Publishing Institute (2019)
Brun, A., Karaosman, H., Barresi, T.: Supply chain collaboration for transparency. Sustainability 12(11), 4429 (2020)
Bocken, N., Strupeit, L., Whalen, K., Nußholz, J.: A review and evaluation of circular business model innovation tools. Sustainability 11(8), 2210 (2019)
Fuente, J.A., García-Sanchez, I.M., Lozano, M.B.: The role of the board of directors in the adoption of GRI guidelines for the disclosure of CSR information. J. Clean. Prod. 141, 737–750 (2017)
Brydges, T.: Closing the Loop on Take, Make, Waste: Investigating Circular Economy Practices in the Swedish Fashion Industry, p. 126245. Elsevier (2021)
Antikainen, M., Uusitalo, T., Kivikytö-Reponen, P.: Digitalisation as an enabler of circular economy. Procedia CIRP 73, 45–49 (2018)
Garrigós-Simón, F., Sanz-Blas, S., Narangajavana, Y., Buzova, D.: The nexus between big data and sustainability: an analysis of current trends and developments. Sustainability 13(12), 6632 (2021)
Fernández-Rovira, C., Valdés, J.Á., Molleví, G., Nicolas-Sans, R.: The digital transformation of business. Towards the datafication of the relationship with customers. Technol. Forecast. Social Change 162, 120–339 (2021)
Bertola, P.: Fashion within the big data society: how can data enable fashion transition towards a more meaningful and sustainable paradigm? In: CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter, pp. 1–8 (2021)
Albu, A.V., et al.: Digitalization of garment in the context of circular economy. world 30, 31 (2021)
Brandtner, P., Udokwu, C., Darbanian, F., Falatouri, T.: Applications of big data analytics in supply chain management: findings from expert interviews. In: 2021 The 4th International Conference on Computers in Management and Business, pp. 77–82 (2021)
Keunyoung, O.: The roles of data analytics in the fashion industry. J. Textile Eng. Fashion Technol. 6, 102–104 (2020)
Ahsan, M., Hon, S.T., Albarbar, A.: Development of novel big data analytics framework for smart clothing. IEEE Access 8, 146, 376–146, 394 (2020)
Hack-Polay, D., Rahman, M., Billah, M.M., Al-Sabbahy, H.Z.: Big data analytics and sustainable textile manufacturing: decision-making about the applications of biotechnologies in developing countries. Management Decision (2020)
Banica, L., Hagiu, A.: Using big data analytics to improve decision-making in apparel supply chains. In: Information Systems for the Fashion and Apparel Industry, pp. 63–95. Elsevier (2016)
Choi, T.M., Shen, B.: A system of systems framework for sustainable fashion supply chain management in the big data era. In: 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), pp. 902–908. IEEE (2016)
de Sousa Jabbour, A.B.L., Jabbour, C.J.C., Godinho Filho, M., Roubaud, D.: Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Ann. Oper. Res. 270(1), 273–286 (2018)
Choi, T.M., Luo, S.: Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes. Transp. Res. Part E Logistics Transp. Rev. 131, 139–152 (2019)
Silva, E.S., Hassani, H., Madsen, D.Ø.: Big data in fashion: transforming the retail sector. J. Bus. Strategy (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Marquesone, R.d.F.P., Carvalho, T.C.M.d.B. (2022). A Taxonomy of Big Data Analytics in Circular Economy: Perspectives from the Fashion Industry. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-04826-5_4
Download citation
DOI: https://doi.org/10.1007/978-3-031-04826-5_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-04825-8
Online ISBN: 978-3-031-04826-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)