Does finance solve the supply chain financing problem
By Federico Caniato, Luca Mattia Gelsomino, Alessandro Perego, Stefano Ronchi. 2016
245 citations recorded by the source corpus.
Subfields: Accounting, Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/6c03629ed626d6a4ccc9cfcdc8604d9c01a7da07
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Federico Caniato
- Philipp Wetzel
- Gangjin Wang
- You Zhu
- Michael Henke
- Erik Hofmann
- Truong Van Nguyen
- Chi Xie
In Management Information Systems
- Federico Caniato
- Philipp Wetzel
- Michael Henke
- Erik Hofmann
- George A. Zsidisin
- Li Zhou
- Angappa Gunasekaran
In Strategy and Management
- Philipp Wetzel
- Michael Henke
- Erik Hofmann
- George A. Zsidisin
- Truong Van Nguyen
- Federico Caniato
- Li Zhou
- Angappa Gunasekaran
Citations in the corpus
- Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach (2019, methodology): “Caniato et al. (2016) propose that the benefits for a company of adopting an SCF solution can be categorized into three macro-typologies, i.e., reduced net operative working capital, increased profit and strategic benefits.”
- Supply chain finance, financial constraints and corporate performance: An explorative network analysis and future research agenda (2019, result): “Accordingly, our results contribute to previous studies that have broadened the perspective on WCM and corporate performance on the supply chain network level (Caniato et al., 2016; Huff and Rogers, 2015; Carnovale et al., 2019).”
- Supply chain finance: Historical foundations, current research, future developments (2019, background): “providers (financial service providers and later “fintechs”) entered the market (Caniato et al. 2016).”