Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Green Technologies and Sustainability, Год журнала: 2025, Номер unknown, С. 100169 - 100169
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2Sustainability, Год журнала: 2025, Номер 17(6), С. 2621 - 2621
Опубликована: Март 16, 2025
This study examines how individual, organisational, and societal factors influence blockchain technology (BCT) adoption in supply chain management (SCM). Using Partial Least Squares Artificial Neural Networks (PLS-ANNs) Necessary Condition Analysis (NCA), it identifies key determinants of sustainable BCT among small- medium-sized enterprises (SMEs). The results show that compatibility, top support, relative advantage are critical for adoption. focuses on SMEs, further research is needed to assess whether these findings apply larger organisations. Insights from this provide a foundation improving high-impact sectors inform strategic practices. By analysing multi-level factors, the enhances understanding guides policy development equitable innovations. Additionally, refine existing models by introducing validating new determinants, contributing both theory practice SCM. comprehensive approach bridges gaps offers actionable insights adoption, supporting broader economic social benefits.
Язык: Английский
Процитировано
1Technological Forecasting and Social Change, Год журнала: 2024, Номер 210, С. 123909 - 123909
Опубликована: Ноя. 28, 2024
Язык: Английский
Процитировано
3Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0