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A01=Muhammad Irfan Khan
A01=Sharfuddin Ahmed Khan
A01=Syed Imran Zaman
Author_Muhammad Irfan Khan
Author_Sharfuddin Ahmed Khan
Author_Syed Imran Zaman
blockchain applications finance
cash-to-cash cycle analysis
Category=KFFH
Category=KJMV1
Category=KJMV8
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_new_release
eq_nobargain
eq_non-fiction
Finance Cash-to-cash characteristics in SCF
fintech adoption strategies
machine learning supply chain
Supply Chain Finance (SCF)
Sustainability in Supply Chain
sustainable finance technology integration
trade credit risk
working capital optimization

Product details

  • ISBN 9781032752600
  • Weight: 470g
  • Dimensions: 138 x 216mm
  • Publication Date: 09 Feb 2026
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Supply Chain Finance (SCF) is a critical component of the global economy. It helps organizations manage their cash flow through their supply chain by offering early payment options to suppliers, while allowing buyers to extend payment terms.

The book is organized into three sections covering the history, current state, and predicted development of SCF. The first section sheds light on the development of SCF via historical data and stresses the importance of ensuring its sustainability. It discusses regional tendencies, illuminating the significance of sustainable practices within supply chain financing while showing the contrasts and similarities throughout global areas. The present state of SCF is explored in the second part, along with the difficulties and obstacles that businesses encounter when trying to set up and manage SCF. It explains why SCF may not be appropriate for all businesses by analyzing cash-to-cash characteristics and investigating factors impacting adoption. The third part deals with its forecasting. It reviews technologies like Blockchain in SCF, covering topics like smart contracts and the effects of Blockchain on management and operations. This part also evaluates the viability of upcoming technologies like Big Data Analytics and dives into the responsibilities of FinTech firms in SCF through the use of machine learning algorithms.

The book will be useful to students, professionals, and anyone else curious about the field.

Muhammad Irfan Khan is an Associate Professor in the Accounting and Finance Department, College of Business Management at Institute of Business Management, Pakistan. He has a MBA, M Phil and a PhD in Finance from Iqra University, Pakistan.

Syed Imran Zaman is an Associate Researcher at Sichuan Tourism University, China, and serves as an Associate Professor at Jinnah University for Women, Pakistan. He earned his PhD in Business and Enterprise Management from Southwest Jiaotong University, China.

Sharfuddin Ahmed Khan has been an Assistant Professor in Industrial System Engineering at University of Regina, Saskatchewan, Canada since 2022. Prior to that, he has worked as Assistant Professor in Industrial Engineering and Engineering Management department at University of Sharjah, UAE from 2019 to 2021 and lecturer in the same department from 2009 to 2019.

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