Big data for corporate social responsibility: blockchain use in Gioia del Colle DOP
Massimiliano Giacalone (),
Vito Santarcangelo (),
Oriana Schiavone () and
Emilio Massa ()
Additional contact information
Vito Santarcangelo: iInformatica S.r.l.s.
Vincenzo Donvito: Capurso Azienda Casearia Srl
Oriana Schiavone: Capurso Azienda Casearia Srl
Emilio Massa: iInformatica S.r.l.s.
Quality & Quantity: International Journal of Methodology, 2021, vol. 55, issue 6, No 2, 1945-1971
Abstract The traceability of the supply chain with strict compliance with the specification to demonstrate in "transparency" the production processes in compliance with legislation and from a corporate social responsibility perspective, represents a fundamental requirement at the basis of competitive advantage in the food industries (Patelli and Mandrioli, J Food Sci 85: 3670–3678, 2020). The purpose of this work is to illustrate the innovative method for the certification and protection of the production phases of the DOP food chain and specifically the Mozzarella DOP of Gioia del Colle produced by the company Capurso Azienda Casearia Srl. This innovative approach consists of several phases that will be described in detail in the following paper. Besides, the idea of the introduction of Blockchain technology in an industry like this is an important step. This technology, associated with more accurate and intelligent management of the data acquisition process (Big data approach), optimizes the productivity of small businesses such as the dairy company. Blockchain technology guarantees security in the management of large amounts of data as never before possible, an innovative and experimental approach that makes the entire path of the production chain more controlled and optimized (Giacalone et al. International workshop on fuzzy logic and applications. Springer, Cham, pp. 218–225, 2016).
Keywords: Blockchain; Corporate social responsibility; Big data; Internet of things; Gioiella DOP (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s11135-021-01095-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:55:y:2021:i:6:d:10.1007_s11135-021-01095-w
Ordering information: This journal article can be ordered from
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().