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Involving financial service providers in supply chain finance practices

Author

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  • Judith Martin
  • Erik Hofmann

Abstract

Purpose - The purpose of this paper is the analysis of reasons to involve financial service providers (FSPs) in the integrated management of supply chain flows through supply chain finance (SCF) practices. In addition, service requirements are derived for FSPs in order to respond to company needs related to SCF practices. Design/methodology/approach - The selected methodology represents a multi-method approach. First, a survey with 62 companies from Switzerland and ten expert interviews were applied to analyze company needs. Second, the study was complemented with a review of gray press, online offers and 11 expert interviews on the service offer of FSPs for managing supply chain flows. Findings - The results derive company needs for an integrated management of supply chain flows. The company needs are matched with available service offer of FSPs. Based on this match quality gaps are identified and service requirements are derived. The results describe initial measures to close the quality gaps. Research limitations/implications - This research primarily focuses on financial flows related to the working capital of companies thereby neglecting fixed assets. Practical implications - The results provide companies with a structured process to analyze the value added of FSPs. FSPs can use the results to better match their service offer with company needs. Originality/value - This research contributes to research on SCF by developing a structured process for analyzing the company needs for SCF practices as well as the value added of FSPs in offering these practices.

Suggested Citation

  • Judith Martin & Erik Hofmann, 2017. "Involving financial service providers in supply chain finance practices," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 18(1), pages 42-62, February.
    • Handle: RePEc:eme:jaarpp:jaar-10-2014-0116
    DOI: 10.1108/JAAR-10-2014-0116
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    Citations

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    Cited by:

    1. Song, Hua & Yang, Xuan & Yu, Kangkang, 2020. "How do supply chain network and SMEs’ operational capabilities enhance working capital financing? An integrative signaling view," International Journal of Production Economics, Elsevier, vol. 220(C).
    2. Yu, Wantao & Wong, Chee Yew & Chavez, Roberto & Jacobs, Mark A., 2021. "Integrating big data analytics into supply chain finance: The roles of information processing and data-driven culture," International Journal of Production Economics, Elsevier, vol. 236(C).
    3. Lam, Hugo K.S. & Zhan, Yuanzhu & Zhang, Minhao & Wang, Yichuan & Lyons, Andrew, 2019. "The effect of supply chain finance initiatives on the market value of service providers," International Journal of Production Economics, Elsevier, vol. 216(C), pages 227-238.
    4. Jia, Fu & Blome, Constantin & Sun, Hui & Yang, Yang & Zhi, Bangdong, 2020. "Towards an integrated conceptual framework of supply chain finance: An information processing perspective," International Journal of Production Economics, Elsevier, vol. 219(C), pages 18-30.
    5. Huang, Jing & Yang, Wensheng & Tu, Yiliu, 2020. "Financing mode decision in a supply chain with financial constraint," International Journal of Production Economics, Elsevier, vol. 220(C).
    6. Zericho R Marak & Deepa Pillai, 2018. "Factors, Outcome, and the Solutions of Supply Chain Finance: Review and the Future Directions," JRFM, MDPI, vol. 12(1), pages 1-23, December.
    7. Ivakina, A. & Zenkevich, N., 2018. "Working capital optimization under liquidity constraints in collaborative supply chains," Working Papers 15110, Graduate School of Management, St. Petersburg State University.
    8. Wang, Zhiqiang & Wang, Qiang & Lai, Yin & Liang, Chaojie, 2020. "Drivers and outcomes of supply chain finance adoption: An empirical investigation in China," International Journal of Production Economics, Elsevier, vol. 220(C).
    9. Chakuu, Sumeer & Masi, Donato & Godsell, Janet, 2019. "Exploring the relationship between mechanisms, actors and instruments in supply chain finance: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 216(C), pages 35-53.
    10. Zhu, You & Zhou, Li & Xie, Chi & Wang, Gang-Jin & Nguyen, Truong V., 2019. "Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach," International Journal of Production Economics, Elsevier, vol. 211(C), pages 22-33.
    11. Ha Ta & Terry L. Esper & Kenneth Ford & Sebastian Garcia‐Dastuge, 2018. "Trustworthiness Change and Relationship Continuity after Contract Breach in Financial Supply Chains," Journal of Supply Chain Management, Institute for Supply Management, vol. 54(4), pages 42-61, October.
    12. Zhang, Wen & Yan, Shaoshan & Li, Jian & Tian, Xin & Yoshida, Taketoshi, 2022. "Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    13. Hua Song & Yudong Yang & Zheng Tao, 2020. "How different types of financial service providers support small- and medium- enterprises under the impact of COVID-19 pandemic: from the perspective of expectancy theory," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-27, December.
    14. Chen, Sihua & Du, Jiangze & He, Wei & Siponen, Mikko, 2022. "Supply chain finance platform evaluation based on acceptability analysis," International Journal of Production Economics, Elsevier, vol. 243(C).

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