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Evaluating the role of digital technologies in enhancing warehouse efficiency

2026-04-01Capítulo de livro Acesso restrito
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datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg17:Parcerias para a Implementação dos Objetivos
dc.contributor.authorPerkumienė, Dalia
dc.contributor.authorSamuolaitis, Mindaugas
dc.contributor.authorHasanov, Jamil
dc.contributor.authorDinis, Maria Alzira Pimenta
dc.contributor.editorSafaa, Larbi
dc.contributor.editorLeal Filho, Walter
dc.contributor.editorPerkumienė, Dalia
dc.contributor.editorDinis, Maria Alzira Pimenta
dc.date.accessioned2026-05-07T10:54:47Z
dc.date.available2026-05-07T10:54:47Z
dc.date.issued2026-04-01
dc.description.abstractThis article evaluates the role of digital technologies in enhancing warehouse efficiency, using Amazon as a case study. Over the past few years, the corporation has been using its new technology capabilities to create digital solutions that increase operational efficiency. Digital technology offers significant advantages in areas including accuracy, productivity, information sharing, and inventory control. Therefore, the study’s primary goal is to assess the digitalization solutions that enhance Amazon’s warehouse operations. For this work, a qualitative research methodology was employed, and data was gathered via SWOT analysis and semi-structured interviews. Seven Amazon employees involved in warehouse operations participated in the study. Warehouse management systems (WMS), RFID technology, Internet of Things (IoT)-enabled sensors, robotics (such Kiva robots), machine learning, and cloud platforms are some of the important digital tools utilized in Amazon’s warehouse operations. The implementation of these technologies led to a 99% increase in inventory accuracy, a 60% reduction in error rates, a 30% decrease in labor dependency, and a 25% reduction in order picking time. In addition, online data tracking was enhanced, particularly using RFID and IoT tools, which increased decision-making speed and accuracy. Staff training issues, incompatibility with outdated systems, and brief technological hiccups were among the obstacles to digitization. However, the total advantages of modernizing an organization and integrating new technology into its structure outweigh all of these, according to research participants. Under headings like artificial intelligence and machine learning, the reviewers claim that the digitization process has significantly improved a company’s warehouse operations.eng
dc.identifier.citationPerkumienė, D., Samuolaiti, M., Hasanov, J., & Dinis, M. A. P. (2026). Evaluating the Role of Digital Technologies in Enhancing Warehouse Efficiency. In Tourism, Sustainability and Innovation: Low-Tech Roots and High-Tech Horizons (pp. 287–310). Springer International Publishing. https://doi.org/10.1007/978-3-032-15590-0_13
dc.identifier.doi10.1007/978-3-032-15590-0_13
dc.identifier.isbn9783032155894
dc.identifier.isbn9783032155900
dc.identifier.issn2199-7373
dc.identifier.issn2199-7381
dc.identifier.urihttp://hdl.handle.net/10284/15401
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature Switzerland
dc.relation.hasversionhttps://doi.org/10.1007/978-3-032-15590-0_13
dc.relation.ispartofWorld Sustainability Series
dc.relation.ispartofTourism, Sustainability and Innovation: Low-Tech Roots and High-Tech Horizons
dc.rights.uriN/A
dc.titleEvaluating the role of digital technologies in enhancing warehouse efficiencyeng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage310
oaire.citation.startPage287
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameDinis
person.givenNameMaria Alzira Pimenta
person.identifier493603
person.identifier.ciencia-id4710-147D-FDAF
person.identifier.orcid0000-0002-2198-6740
person.identifier.ridF-3309-2011
person.identifier.scopus-author-id55539804000
relation.isAuthorOfPublication1e85592a-e8e2-4aea-bd8e-1007c94388c0
relation.isAuthorOfPublication.latestForDiscovery1e85592a-e8e2-4aea-bd8e-1007c94388c0

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