TY - JOUR
T1 - An Artificial-Intelligence-Based omnichannel blood supply chain
T2 - A pathway for sustainable development
AU - Ghouri, Arsalan Mujahid
AU - Khan, Haseeb R.
AU - Mani, Venkatesh
AU - Haq, Mirza Amin ul
AU - Lopes de Sousa Jabbour, Ana Beatriz
PY - 2023/5/2
Y1 - 2023/5/2
N2 - We formulated and tested an innovative omnichannel blood supply chain (OBSC) model based on artificial intelligence (AI) using inputs raised in semi structured interviews conducted with heath care practitioners in a blood supply chain. The proposed AI-based OBSC model addresses the supply and demand imbalance in crucial situations for blood supply chains. A resource dependence theory bottom-up approach was applied to underpin the OBSC model. This model consists of two parts: (a) helping to find the closest and fastest available blood supply (omnichannel perspective) and (b) raising a blood supply request among university students (with the help of the university’s IT system) through SMS messaging in case of emergencies or blood shortages (AI perspective). This OBSC model is significant because it contributes to the United Nations’ Sustainable Development Goals, specifically the goal 3 to “ensure healthy lives and promote well-being for all at all ages.”
AB - We formulated and tested an innovative omnichannel blood supply chain (OBSC) model based on artificial intelligence (AI) using inputs raised in semi structured interviews conducted with heath care practitioners in a blood supply chain. The proposed AI-based OBSC model addresses the supply and demand imbalance in crucial situations for blood supply chains. A resource dependence theory bottom-up approach was applied to underpin the OBSC model. This model consists of two parts: (a) helping to find the closest and fastest available blood supply (omnichannel perspective) and (b) raising a blood supply request among university students (with the help of the university’s IT system) through SMS messaging in case of emergencies or blood shortages (AI perspective). This OBSC model is significant because it contributes to the United Nations’ Sustainable Development Goals, specifically the goal 3 to “ensure healthy lives and promote well-being for all at all ages.”
KW - Artificial intelligence
KW - Health care
KW - Omnichannel
KW - Supply chain management
KW - Sustainable development
U2 - 10.1016/j.jbusres.2023.113980
DO - 10.1016/j.jbusres.2023.113980
M3 - Article
SN - 0148-2963
VL - 164
JO - Journal of Business Research
JF - Journal of Business Research
M1 - 113980
ER -