International Journal of Quality & Reliability Management · 2024 · 30 citations · 110 references
ManagementHealth Care ManagementSupply Chain ManagementHealthcare Supply Chain ManagementSupply Chain AnalyticsSupply Chain Performance ManagementHealth Care SupplyHospital Supply Chain ManagementSupply Chain Performance MeasurementSupply Chain ResilienceSupply Chain RiskSupply ChainsHealth Care Supply Chain AnalyticsModerating EffectsResilient Supply ChainsSupply Chain CapabilitySupply Chain Performance EvaluationSupply Chain Performance IndicatorsSupply Chain Performance MetricsSupply Chain Resilience Capabilities
Purpose The coronavirus disease 2019 (COVID-19) pandemic represents one of the most significant disruptions to supply chains (SCs), stimulating both practitioners and scholars to seek ways to enhance supply chain performance (SCP). Recent advancements in technology, particularly supply chain analytics (SCA) technologies, offer promising avenues for mitigating risks associated with SC disruptions like those posed by the COVID-19 pandemic. However, the existing literature lacks a comprehensive analysis of the connection between SCA and healthcare SC (HSC) performance. To address this research gap, we employed the dynamic capability perspective to investigate the mediating roles of supply chain innovation (SCI), resilience (SCR) and flexibility (SCF) in the relationship between SCA and HSC performance. The study further examined the moderating role of a data-driven culture (DDC). Design/methodology/approach The proposed model was tested using survey data from 374 managers of healthcare facilities in Ghana. SPSS and Amos were used to analyze the data gathered. Findings The results showed that while SCA may drive HSC performance, the presence of SCI, SCR and SCF may serve as channels to drive enhanced HSC performance. Additionally, we also found that different levels of a DDC induce varying effects of SCA on SCI, SCR and SCF. Research limitations/implications The study’s results have theoretical and practical implications, offering valuable insights for the advancement of SCA in healthcare literature. They also deepen SC managers’ comprehension of how and when SCA can boost HSC performance. However, as the study was limited to healthcare facilities in Ghana, its findings may not be universally applicable. Originality/value This study contributes to the literature by demonstrating that SCI, SCR, SCF and a DDC could serve as transformative mechanisms to reap superior HSC outcomes. This study also offers contemporary guidance to managers regarding SCA investment decisions.
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Noah C. Peeri, Nistha Shrestha, Md. Siddikur Rahman et al. · International Journal of Epidemiology · 2020 · 1.7K citations · Full text
Gang Wang, Angappa Gunasekaran, Eric W.T. Ngai · International Journal of Production Economics · 2016 · 1.5K citations · Full text
Management, Management Information Systems, Supply Chain Management +16