Supply chain learning in the Australian food industry: the impact of digital transformation

Autores
Tortorella, Guilherme; Malik, Moshin; Trianni, Andrea; Pepper, Matthew; Vassolo, Roberto Santiago; Garcias, Fausto; Cosentino, Juan Pablo; Norena Chavez, Diego
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper aimed at examining how digital transformation (DT) has impacted supply chain learning (SCL) in the food industry. For that, a multi-case study was conducted in organizations located in Australia, where the food industry is highly relevant to the country’s socioeconomic development and DT initiatives are relatively established. We classified SCL based on its driver and network. The different sources of evidence across case studies (represented by triadic relationships in the food industry) allowed the identification of commonalities,which led to the formulation of research propositions. Findings indicated that DT plays a key role in the way knowledge and learning are created and shared across the food industry, shifting their responsibility from the sole leadership of the focal company (e.g., food processor) to a more collaborative learning context where non-focal companies (e.g., food producer/grower and retailer) actively contribute. In turn, the dissemination of such a learning seems to remain exclusively within the food industry and not expanding nor being exchanged with other supply chains, despite the advances in DT. In other words, a more extensive DT in the food industry tends to move SCL from captive to consortium. The understanding of the impact of DT on SCL helps organizations, especially from the food industry, set expectations and enhance learning throughout their supply chains. As they become digitized, learning may be expedited, anticipating potential issues and entailing competitive advantages that can go beyond the organizational boundaries.
Fil: Tortorella, Guilherme. Universidad Austral. Instituto de Altos Estudios; Argentina
Fil: Malik, Moshin. Swinburne University; Australia
Fil: Trianni, Andrea. University Of Technology Sydney.; Australia
Fil: Pepper, Matthew. University Of Wollongong; Australia
Fil: Vassolo, Roberto Santiago. Universidad Austral. Instituto de Altos Estudios; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Garcias, Fausto. Universidad Austral. Instituto de Altos Estudios; Argentina
Fil: Cosentino, Juan Pablo. Universidad Austral. Instituto de Altos Estudios; Argentina
Fil: Norena Chavez, Diego. Universidad de Lima; Perú
Materia
Supply Chain Learning
Food Industry
Digital Technologies
Industry 4,0
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/290319
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Supply chain learning in the Australian food industry: the impact of digital transformationTortorella, GuilhermeMalik, MoshinTrianni, AndreaPepper, MatthewVassolo, Roberto SantiagoGarcias, FaustoCosentino, Juan PabloNorena Chavez, DiegoSupply Chain LearningFood IndustryDigital TechnologiesIndustry 4,0https://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5This paper aimed at examining how digital transformation (DT) has impacted supply chain learning (SCL) in the food industry. For that, a multi-case study was conducted in organizations located in Australia, where the food industry is highly relevant to the country’s socioeconomic development and DT initiatives are relatively established. We classified SCL based on its driver and network. The different sources of evidence across case studies (represented by triadic relationships in the food industry) allowed the identification of commonalities,which led to the formulation of research propositions. Findings indicated that DT plays a key role in the way knowledge and learning are created and shared across the food industry, shifting their responsibility from the sole leadership of the focal company (e.g., food processor) to a more collaborative learning context where non-focal companies (e.g., food producer/grower and retailer) actively contribute. In turn, the dissemination of such a learning seems to remain exclusively within the food industry and not expanding nor being exchanged with other supply chains, despite the advances in DT. In other words, a more extensive DT in the food industry tends to move SCL from captive to consortium. The understanding of the impact of DT on SCL helps organizations, especially from the food industry, set expectations and enhance learning throughout their supply chains. As they become digitized, learning may be expedited, anticipating potential issues and entailing competitive advantages that can go beyond the organizational boundaries.Fil: Tortorella, Guilherme. Universidad Austral. Instituto de Altos Estudios; ArgentinaFil: Malik, Moshin. Swinburne University; AustraliaFil: Trianni, Andrea. University Of Technology Sydney.; AustraliaFil: Pepper, Matthew. University Of Wollongong; AustraliaFil: Vassolo, Roberto Santiago. Universidad Austral. Instituto de Altos Estudios; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Garcias, Fausto. Universidad Austral. Instituto de Altos Estudios; ArgentinaFil: Cosentino, Juan Pablo. Universidad Austral. Instituto de Altos Estudios; ArgentinaFil: Norena Chavez, Diego. Universidad de Lima; PerúElsevier Science2026-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/290319Tortorella, Guilherme ; Malik, Moshin; Trianni, Andrea; Pepper, Matthew; Vassolo, Roberto Santiago; et al.; Supply chain learning in the Australian food industry: the impact of digital transformation; Elsevier Science; International Journal Of Production Economics; 299; 5-2026; 1-220925-5273CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0925527326001659info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijpe.2026.110074info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T15:02:21Zoai:ri.conicet.gov.ar:11336/290319instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 15:02:21.927CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Supply chain learning in the Australian food industry: the impact of digital transformation
title Supply chain learning in the Australian food industry: the impact of digital transformation
spellingShingle Supply chain learning in the Australian food industry: the impact of digital transformation
Tortorella, Guilherme
Supply Chain Learning
Food Industry
Digital Technologies
Industry 4,0
title_short Supply chain learning in the Australian food industry: the impact of digital transformation
title_full Supply chain learning in the Australian food industry: the impact of digital transformation
title_fullStr Supply chain learning in the Australian food industry: the impact of digital transformation
title_full_unstemmed Supply chain learning in the Australian food industry: the impact of digital transformation
title_sort Supply chain learning in the Australian food industry: the impact of digital transformation
dc.creator.none.fl_str_mv Tortorella, Guilherme
Malik, Moshin
Trianni, Andrea
Pepper, Matthew
Vassolo, Roberto Santiago
Garcias, Fausto
Cosentino, Juan Pablo
Norena Chavez, Diego
author Tortorella, Guilherme
author_facet Tortorella, Guilherme
Malik, Moshin
Trianni, Andrea
Pepper, Matthew
Vassolo, Roberto Santiago
Garcias, Fausto
Cosentino, Juan Pablo
Norena Chavez, Diego
author_role author
author2 Malik, Moshin
Trianni, Andrea
Pepper, Matthew
Vassolo, Roberto Santiago
Garcias, Fausto
Cosentino, Juan Pablo
Norena Chavez, Diego
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Supply Chain Learning
Food Industry
Digital Technologies
Industry 4,0
topic Supply Chain Learning
Food Industry
Digital Technologies
Industry 4,0
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv This paper aimed at examining how digital transformation (DT) has impacted supply chain learning (SCL) in the food industry. For that, a multi-case study was conducted in organizations located in Australia, where the food industry is highly relevant to the country’s socioeconomic development and DT initiatives are relatively established. We classified SCL based on its driver and network. The different sources of evidence across case studies (represented by triadic relationships in the food industry) allowed the identification of commonalities,which led to the formulation of research propositions. Findings indicated that DT plays a key role in the way knowledge and learning are created and shared across the food industry, shifting their responsibility from the sole leadership of the focal company (e.g., food processor) to a more collaborative learning context where non-focal companies (e.g., food producer/grower and retailer) actively contribute. In turn, the dissemination of such a learning seems to remain exclusively within the food industry and not expanding nor being exchanged with other supply chains, despite the advances in DT. In other words, a more extensive DT in the food industry tends to move SCL from captive to consortium. The understanding of the impact of DT on SCL helps organizations, especially from the food industry, set expectations and enhance learning throughout their supply chains. As they become digitized, learning may be expedited, anticipating potential issues and entailing competitive advantages that can go beyond the organizational boundaries.
Fil: Tortorella, Guilherme. Universidad Austral. Instituto de Altos Estudios; Argentina
Fil: Malik, Moshin. Swinburne University; Australia
Fil: Trianni, Andrea. University Of Technology Sydney.; Australia
Fil: Pepper, Matthew. University Of Wollongong; Australia
Fil: Vassolo, Roberto Santiago. Universidad Austral. Instituto de Altos Estudios; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Garcias, Fausto. Universidad Austral. Instituto de Altos Estudios; Argentina
Fil: Cosentino, Juan Pablo. Universidad Austral. Instituto de Altos Estudios; Argentina
Fil: Norena Chavez, Diego. Universidad de Lima; Perú
description This paper aimed at examining how digital transformation (DT) has impacted supply chain learning (SCL) in the food industry. For that, a multi-case study was conducted in organizations located in Australia, where the food industry is highly relevant to the country’s socioeconomic development and DT initiatives are relatively established. We classified SCL based on its driver and network. The different sources of evidence across case studies (represented by triadic relationships in the food industry) allowed the identification of commonalities,which led to the formulation of research propositions. Findings indicated that DT plays a key role in the way knowledge and learning are created and shared across the food industry, shifting their responsibility from the sole leadership of the focal company (e.g., food processor) to a more collaborative learning context where non-focal companies (e.g., food producer/grower and retailer) actively contribute. In turn, the dissemination of such a learning seems to remain exclusively within the food industry and not expanding nor being exchanged with other supply chains, despite the advances in DT. In other words, a more extensive DT in the food industry tends to move SCL from captive to consortium. The understanding of the impact of DT on SCL helps organizations, especially from the food industry, set expectations and enhance learning throughout their supply chains. As they become digitized, learning may be expedited, anticipating potential issues and entailing competitive advantages that can go beyond the organizational boundaries.
publishDate 2026
dc.date.none.fl_str_mv 2026-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/290319
Tortorella, Guilherme ; Malik, Moshin; Trianni, Andrea; Pepper, Matthew; Vassolo, Roberto Santiago; et al.; Supply chain learning in the Australian food industry: the impact of digital transformation; Elsevier Science; International Journal Of Production Economics; 299; 5-2026; 1-22
0925-5273
CONICET Digital
CONICET
url http://hdl.handle.net/11336/290319
identifier_str_mv Tortorella, Guilherme ; Malik, Moshin; Trianni, Andrea; Pepper, Matthew; Vassolo, Roberto Santiago; et al.; Supply chain learning in the Australian food industry: the impact of digital transformation; Elsevier Science; International Journal Of Production Economics; 299; 5-2026; 1-22
0925-5273
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0925527326001659
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijpe.2026.110074
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.265058

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