Obiekt

Tytuł: Integrating corporate social responsibility and digital transformation: evidence on supply chain resilience and sustainability

Autor:

Rahmoune, Mbarek

Data wydania:

2026

Typ zasobu:

artykuł

Współtwórca:

Stankiewicz, Janina - red. nacz. ; Preston, Peter- red. jęz. ; Zmyślony, Roman - red. statyst. ; Skalik, Jan - red. ; Moczulska, Marta - red. ; Adamczyk, Janusz- red.

Tytuł publikacji grupowej:

Management, vol. 30 (2026)

Abstract:

Research background and purpose: This study examines the role of digital transformation and corporate social responsibility (CSR) in enhancing supply chain resilience. It focuses on how these two factors interact to strengthen firms` ability to cope with disruptions and maintain operational continuity. ; Design/methodology/approach: Data was collected through a structured questionnaire administered to 120 professionals working in manufacturing, logistics, and retail supply chains. A quantitative approach was adopted to examine the proposed relationships between CSR, digital transformation, and supply chain resilience. The data was analyzed using Partial Least Squares approach (PLS-SEM) to assess both measurement and structural models, and bootstrapping techniques were applied to test the significance of the hypothesized relationships. ; Findings: The findings provide valuable insights into the role of digital transformation and CSR in enhancing supply chain resilience. They highlight that both digital capabilities and responsible practices significantly contribute to resilience outcomes. Moreover, the results show that CSR strengthens the impact of digital transformation, offering practical guidance for managers seeking to build more resilient and sustainable supply chains. ; Value added and limitations: This study provides valuable insights for managers by highlighting how the alignment between digital transformation and CSR initiatives can enhance supply chain resilience and sustainability. However, several limitations should be acknowledged. First, the focus on a limited sample and specific sectors may restrict the generalizability of the findings. Second, the cross-sectional design prevents establishing causal relationships and capturing the evolution of the CSR-DT-SCR dynamics over time. Finally, the use of self-reported data may introduce potential bias. Future research could address these limitations by adopting longitudinal designs, expanding the sample across different contexts, and incorporating objective and multi-source data.

Wydawca:

Zielona Góra: Faculty of Economics and Management Press

Format:

application/pdf

Identyfikator zasobu:

oai:zbc.uz.zgora.pl:98522

DOI:

10.58691/man/220742

Strony:

495-517

Źródło:

Management, vol. 30, no 1 (2026)

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

26 sie 2026

Data dodania obiektu:

26 sie 2026

Liczba wyświetleń treści obiektu:

1

Wszystkie dostępne wersje tego obiektu:

https://zbc.uz.zgora.pl/publication/110211

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