¿cómo evaluar el impacto de blockchain en la seguridad y privacidad de los datos en la cadena de suministro digital? Una revisión del estado del técnico

Autores/as
Palabras clave:
Seguridad, Privacidad de Datos, Cadena de Suministro Digital, Indicadores, Mediciones
Resumen

Las organizaciones de la Industria 4.0 y las Cadenas de Suministro Digital (CSD) tienen el desafío de mantener la privacidad y seguridad de los datos en sus sistemas debido a la ciberseguridad, la falta de gestión y confianza entre sus miembros, entre otros temas. En este escenario, Blockchain (BCK) surgió como una alternativa para mantener información descentralizada, segura y confiable para los participantes. Para verificar la efectividad de la adopción de BCK, se indican los requisitos clave que resumen los criterios que se deben considerar para medir diferentes aspectos que impactan la seguridad y privacidad de los datos en CSD. Posteriormente, a través de una revisión sistemática de la literatura publicada en los últimos 10 años, reforzada por la metodología PRISMA y la técnica de muestreo de bola de nieve, se identificaron los principales factores que deben ser evaluados, como constructos y medidas, los cuales se agrupan en elementos que representan lo que debe ser medido de alguna manera por la CDS. Así, se realiza una revisión del estado del arte del desempeño de BCK en CSD y se discuten las principales dificultades de medición y oportunidades de mejora.

Biografía del autor/a
  1. Eliane Somavilla, Universidade Federal de Santa Catarina (UFSC)

    Possui graduação em Sistemas de Informação pela Universidade Comunitária da Região de Chapecó - Unochapecó (2009), com especialização em Engenharia de Projetos de Software pela Universidade do Sul de Santa Catarina - Unisul (2013). Atualmente, aluna do mestrado de Engenharia de Produção na UFSC em fase de dissertação. Possui experiência no gerenciamento de demandas, planejamento estratégico, medição de indicadores para apoiar a tomada de decisão, gestão de projetos e produtos através de metodologia ágil por meio do framework SCRUM aliado a conceitos LEAN, gestão de pessoas e gestão de prazos e custos.

  2. Gisele de Lorena Diniz Chaves, Universidade Federal de Santa Catarina (UFSC)

    Professora Associada do Departamento de Engenharia de Produção e Sistemas - DEPS da Universidade Federal de Santa Catarina - UFSC. Pesquisadora do CNPq nível 2 desde 2016. Realizou seu pós-doutorado no Department of Environment and Civil Engineering da University of Central Flórida com financiamento FULBRIGHT. Possui doutorado em Engenharia de Produção pela Universidade Federal de São Carlos, com estágio sanduíche (um ano) no CRET-LOG, Grupo de Pesquisa em Logística da Université de la Mediterranée (Aix-Marseille II) na França, ambos com apoio CAPES. Graduada em Engenharia de Alimentos pela Universidade Federal de Viçosa (2003) e mestrado em Desenvolvimento Regional e Agronegócio pela Universidade Estadual do Oeste do Paraná (2005). Membro permanente do corpo docente do curso de Pós-graduação em Engenharia de Produção da UFSC desde 2022. Membro permanente do corpo docente do Programa de Pós-Graduação em Engenharia Sanitária e Ambiental desde 2022. Membro permanente do corpo docente do curso de Pós-graduação em Energia da UFES de 2011 a 2022.Atuou como docente na UFES por mais de 12 anos. Atuo principalmente nos seguintes temas: logística reversa, transportes, logística e gerenciamento de resíduos sólidos. Citações no google acadêmico: 1648 Fator H = 16; e Fator Google i10 =31.

Referencias

Aljabhan, B. & Obaidat, M. A. (2023). Privacy-Preserving BCK Framework for Supply Chain Management: Perceptive Craving Game Search. Sustainability. 1-23. https://doi.org/10.3390/su15086905

Aslam, J., Saleem, A., & Kim, Y. B. (2023). BCK-enabled supply chain management: integrated impact on firm performance and robustness capabilities. Business Process Management Journal, 29(6), 1680-1705. https://doi.org/10.1108/BPMJ-03-2023-0165

Balfaqih, H., Nopiah, Z. M., Saibani, N., & Al-Nory, M.T. (2026). Review of supply chain performance measurement systems: 1998-2015. Computers In Industry, 82, 135-150. https://doi.org/10.1016/j.compind.2016.07.002

Bhattacharya, R. & Bandyopadhyay, S. (2011). A review of the causes of bullwhip effect in a supply chain. The International Journal of Advanced Manufacturing Technology, 54(9-12), 1245-1261. https://doi.org/10.1007/s00170-010-2987-6

Bigini, G. Freschi V., & Lattanzi, E. (2020). A Review on BCK for the Internet of Medical Things: definitions, challenges, applications, and vision. Future Internet, 12(12), 1-16. https://doi.org/10.3390/fi12120208

Budak, A. & Çoban, V. (2021). Evaluation of the impact of BCK technology on supply chain using cognitive maps. Expert Systems with Applications, 184, 115455. https://doi.org/10.1016/j.eswa.2021.115455

Buntak, K., Kovačić, M., & Mutavdžija M. (2021). Measuring Digital Transformation Maturity of Supply Chain. Tehni?Ki Glasnik, 15(2), 199-204. https://doi.org/10.31803/tg-20200414191933

Chopra, S. & Meindl, P. (2011). Supply Chain Management: strategy, planning and operation. New York: Pearson Prentice Hall. 529 p.

Çikmak, S., Kantoglu, B., & Kirbaç, G. (2023). Evaluation of the effects of BCK technology characteristics on SCOR model supply chain perfor. International Journal of Logistics Research And Applications, 1-31. https://doi.org/10.1080/13675567.2023.2193736

Dolgui, A., Ivanov, D., & Sokolov, B. (2017). Ripple effect in the supply chain: an analysis and recent literature. International Journal of Production Research, 56(1-2), 414-430. https://doi.org/10.1080/00207543.2017.1387680

Eur-Lex, Access to European Union Law. Constituição (2016). General Data Protection Regulation. Brussels, 27 abr. 2016. Recuperado de https://eur-lex.europa.eu/eli/reg/2016/679/oj

Fares, N. & Lloret, J. (2023) Barriers to supply chain performance measurement during disruptions such as the COVID-19 pandemic. International Journal of Quality e Reliability Management, 40(5), 1316-1342. https://doi.org/10.1108/IJQRM-03-2022-0095

Frederico, G. F., Garza-Reyes, J. A., Anosike,A., & Kumar V. (2019). Supply Chain 4.0: concepts, maturity and research agenda. Supply Chain Management, 25(2), 262-282. https://doi.org/10.1108/SCM-09-2018-0339

Gökalp, E., Gökalp, M. O., & Çoban S. (2020). BCK-Based Supply Chain Management: understanding the determinants of adoption in the context of organizations. Information Systems Management, 39(2), 100-121. https://doi.org/10.1080/10580530.2020.1812014

Govindan, K., kannan, D., Jorgensen, T. B., & Nielse, T. S. (2022). Supply Chain 4.0 performance measurement: a systematic literature review, framework development, and empirical evidence. Transportation Research Part e: Logistics and Transportation Review, 164, 102725. https://doi.org/10.1016/j.tre.2022.102725

Hani, J. B. (2022). The influence of supply chain management practices on supply chain performance: the moderating role of information quality. Business, Management and Economics Engineering, 20(1), 152-171. https://doi.org/10.3846/bmee.2022.16597

Harding, K. (2014). Zotero. Journal of The Canadian Health Libraries Association / Journal de L'Association Des Bibliothèques de, 34(1), 41. https://doi.org/10.5596/c13-003.

Hellweg, F., Lechtenberg, S., Hellingrath, B., & Thomé, A. M. T. (2021). Literature Review on Maturity Models for Digital Supply Chains. Brazilian Journal of Operations e Production Management, 18(3), 1-12. https://doi.org/10.14488/BJOPM.2021.022

Hong, L. & Hales, D. N. (2021). BCK performance in supply chain management: application in BCK integration companies. Industrial Management e Data Systems, 121(9), 1969-1996. https://doi.org/10.1108/IMDS-10-2020-0598

Johnson, M. & Stevens, G. C. (2016) Integrating the Supply Chain... 25 years on. International Journal of Physical Distribution e Logistics Management. Online, p. 19-42. https://doi.org/10.1108/IJPDLM-07-2015-0175

Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert Scale: explored and explained. British Journal Of Applied Science e Technology, 7(4), 396-403. https://doi.org/10.9734/BJAST/2015/14975

Jum’a, L. (2023). The role of BCK-enabled supply chain applications in improving supply chain performance: the case of jordanian manufacturing sector. Management Research Review, 46(10), 1315-1333. https://doi.org/10.1108/MRR-04-2022-0298

Kakhki, M. D. & Gargeya, V. B. (2019) Information systems for supply chain management: a systematic literature analysis. International Journal Of Production Research, v. 57, n. 15-16, p. 5318-5339. https://doi.org/10.1080/00207543.2019.1570376

Kamble, S. S. & Gunasekaran, A. (2019). Big data-driven supply chain performance measurement system: a review and framework for implementation. International Journal of Production Research, 58(1), 65-86. https://doi.org/10.1080/00207543.2019.1630770.

Kim, J. S. & Shin, N. (2019). The Impact of BCK Technology Application on Supply Chain Partnership and Performance. Sustainability, 11(21), 6181.

https://doi.org/10.3390/su11216181

Kopyto, M., Lechler, S., Gracht, H. A. V. D., & Hartmann, E. (2020). Potentials of BCK technology in supply chain management: long-term judgments of an international expert panel. Technological Forecasting And Social Change, 161, 120330.

https://doi.org/10.1016/j.techfore.2020.120330

Li, Z. P., Ceong, H. T., & Lee, S. J. (2021). The Effect of BCK Operation Capabilities on Competitive Performance in Supply Chain Management. Sustainability, 13(21), 12078. https://doi.org/10.1080/00207543.2015.1026614

Maestrini, V., Luzzini, D., Caniato, F., Maccarrone, P. e Ronchi, S. (2018). Measuring supply chain performance: a lifecycle framework and a case study. International Journal of Operations e Production Management, 38(4), 934-956. https://doi.org/10.1108/IJOPM-07-2015-0455

Mahdiraji, H. A., Yaftiyan, F., Kamardi, A. A. A., Garza-Reyes, J. A., & Hajiagha, S. H. R (2022). The role of Industry 4.0 technologies on performance measurement systems of supply chains during global pandemics: an interval-valued intuitionistic hesitant fuzzy approach. International Journal of Quality e Reliability Management, 40(5), 1147-1171. https://doi.org/10.1108/IJQRM-03-2022-0094

Mangla, S. K., Kusi-Sarpong, S., Luthra, S., Bai, C., Jakhar, S. K., & Khan, S. A. (2020). Operational excellence for improving sustainable supply chain performance. Resources, Conservation and Recycling, 162, 105025. https://doi.org/10.1016/j.resconrec.2020.105025

Marinagi, C., Reklitis, P., Trivellas, P., & Sakas D. (2023). The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0. Sustainability, 15(6), 5185. https://doi.org/10.3390/su15065185

Melnyk, S. A., Schoenherr,T., Speier-Pero,C., Peters, C., Chang, J. F., & Friday, D. (2021). New challenges in supply chain management: cybersecurity across the supply chain. International Journal of Production Research, 60(1), 162-183. https://doi.org/10.1080/00207543.2021.1984606

Merrad, Y., Habaebi, M. H., Elsheikh, E. A. A., Suliman, F. E. M., Islam, M. R., Gunawan, T. S., & Mesri, M. (2022). BCK: consensus algorithm key performance indicators, trade-offs, current trends, common drawbacks, and no. Mathematics, 10(15), 2754. https://doi.org/10.3390/math10152754

Moher, D., Liberati, A., Tetzlaff, J., & Altman,D. G. (2010). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. International Journal of Surgery, 8, 336-341. https://doi.org/10.1371/journal.pmed.1000097

Naderifar, M., Goli, H., & Ghaljaie, F. (2017). Snowball Sampling: A Purposeful Method of Sampling in Qualitative Research. The Strides in Development Of Medical Education Journal, 14, 1-4. https://doi.org/10.5812/sdme.67670

Oláh, J., Krisán, E., Kiss, A., Lakner, Z., & Popp J. (2020). PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector. Energies, 13(9), 2323. https://doi.org/10.3390/en13092323

Patidar, A., Sharma, M., Agrawal, R., & Sangwan, K.S. (2022). Supply chain resilience and its key performance indicators: an evaluation under industry 4.0 and sustainability perspective. Management of Environmental Quality: An International Journal, 34(4), 962-980. https://doi.org/10.1108/MEQ-03-2022-0091

Piurcosky, F. P., Calegário, C., Costa, M., & Frogeri, R. F. (2019). A lei geral de proteção de dados pessoais em empresas brasileiras: uma análise de múltiplos casos. Suma de Negocios, 10(23), 89-99. http://dx.doi.org/10.14349/sumneg/2019.V10.N23.A2

Prisma Statement. (2023). Home. Recuperado de: http://www.prisma-statement.org/

Queiroz, M. M., Pereira, S. C. F., Telles, R., & Machado, M. C. (2019). Industry 4.0 and digital supply chain capabilities. Benchmarking: An International Journal, 28(5), 1761-1782. https://doi.org/10.1108/BIJ-12-2018-0435

Roever, L. (2020). Guia prático de revisão sistemática e metanálise. Rio de Janeiro: Thieme Revinter. 86 p.

Ronaghi, M. H. (2022). Contextualizing the impact of BCK technology on the performance of new firms: the role of corporate governance as an intermediate outcome. The Journal of High Technology Management Research, 33(2), 100438-100451. https://doi.org/10.1016/j.hitech.2022.100438

Sammarco, G., Ruzza, D., Vishkaei, B. M., & De Giovanni, P. (2022). The Impact of Digital Technologies on Company Restoration Time Following the COVID-19 Pandemic. Sustainability, 14(22), 15266. https://doi.org/10.3390/su142215266

Silvestre, B. S., Monteiro, M. S., Viana, F. L. E., & Filho, J. M. de S. (2018). Challenges for sustainable supply chain management: when stakeholder collaboration becomes conducive to corruption. Journal of Cleaner Production, 194, 766-776. https://doi.org/10.1016/j.jclepro.2018.05.127

Supply Chain Council – SCC. (2023). Supply Chain Operations Reference Model SCOR, 12. United States of America.

Tambaré, P., Meshram, C., Lee, C. C., Ramteke, R. J., & Imoize, A. L. (2021). Performance Measurement System and Quality Management in Data-Driven Industry 4.0: a review. Sensors, 22(1), 224-249. https://doi.org/10.3390/s22010224

Tokkozhina, U., Martins, A. L., & Ferreira, J. C. (2020). Use of BCK Technology to Manage the Supply Chains: Comparison of Perspectives between Technol. Journal of Theoretical and Applied Electronic Commerce Research. 1616-1632. https://doi.org/10.3390/jtaer17040082

Weerabahu, W. M. S., K. Samaranayake, P., Nakandala, D., & Hurriyet, H. (2022). Digital supply chain research trends: a systematic review and a maturity model for adoption. Benchmarking, 29, 3040-3066. https://doi.org/10.1108/BIJ-12-2021-0782

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Publicado
2024-05-08
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INGENIERÍA ORGANIZACIONAL
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Cómo citar

Somavilla, E., & Chaves, G. de L. D. (2024). ¿cómo evaluar el impacto de blockchain en la seguridad y privacidad de los datos en la cadena de suministro digital? Una revisión del estado del técnico. Brazilian Journal of Production Engineering, 10(2), 196-224. https://doi.org/10.47456/bjpe.v10i2.44284