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- W4366752917 endingPage "100836" @default.
- W4366752917 startingPage "100836" @default.
- W4366752917 abstract "This study illustrates how the supply chain financing (SCF) ecosystem has responded to the COVID-19 crisis during the first year of its onset. The economic effects have manifested in disrupted supply chains, increased financial stress, and an overall negative impact on global trade. A multitude of organizations have struggled to manage their cash flow and working capital to survive the crisis. Overall, we explore how the SCF community as a business service ecosystem has intervened to provide organizations with opportunities to improve their liquidity. We use data obtained from a systematic, in-depth analysis of the practice-driven literature reporting on SCF activities as they unfolded in the early stages of the crisis. An inductive qualitative case study approach is applied to develop the grounded theoretical model that illustrates the SCF ecosystem's behaviors as it responded to the crisis. Furthermore, a post-hoc investigation, consisting of semi-structured interviews with 28 SCF experts, has been conducted to validate the theoretical model and to capture future developments. As we anticipate continuing global supply chain disruptions given the virus and its mutations, global warming, and trade wars among superpowers, our study provides insights for the behaviors of and relationships between the actors that comprise the SCF ecosystem in turbulent times." @default.
- W4366752917 created "2023-04-24" @default.
- W4366752917 creator A5000823480 @default.
- W4366752917 creator A5019650541 @default.
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- W4366752917 creator A5042879370 @default.
- W4366752917 creator A5053587786 @default.
- W4366752917 creator A5074660563 @default.
- W4366752917 date "2023-10-01" @default.
- W4366752917 modified "2023-09-26" @default.
- W4366752917 title "The supply chain financing ecosystem: Early responses during the COVID-19 crisis" @default.
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- W4366752917 doi "https://doi.org/10.1016/j.pursup.2023.100836" @default.
- W4366752917 hasPublicationYear "2023" @default.