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Cash Flow Bullwhip—Literature Review and Research Perspectives

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  • Hicham Lamzaouek

    (Laboratory of Scientific Engineering of Organizations (ISO), National School of Business and Management of Casablanca, Hassan II University, Casablanca 20250, Morocco)

  • Hicham Drissi

    (Laboratory of Research and Prospects in Finance and Management (LRPFG), National School of Business and Management of Casablanca, Hassan II University, Casablanca 20250, Morocco)

  • Naima El Haoud

    (Laboratory of Scientific Engineering of Organizations (ISO), National School of Business and Management of Casablanca, Hassan II University, Casablanca 20250, Morocco)

Abstract

The bullwhip effect is a pervasive phenomenon in all supply chains causing excessive inventory, delivery delays, deterioration of customer service, and high costs. Some researchers have studied this phenomenon from a financial perspective by shedding light on the phenomenon of cash flow bullwhip (CFB). The objective of this article is to provide the state of the art in relation to research work on CFB. Our ambition is not to make an exhaustive list, but to synthesize the main contributions, to enable us to identify other interesting research perspectives. In this regard, certain lines of research remain insufficiently explored, such as the role that supply chain digitization could play in controlling CFB, the impact of CFB on the profitability of companies, or the impacts of the omnichannel commerce on CFB.

Suggested Citation

  • Hicham Lamzaouek & Hicham Drissi & Naima El Haoud, 2021. "Cash Flow Bullwhip—Literature Review and Research Perspectives," Logistics, MDPI, vol. 5(1), pages 1-9, January.
  • Handle: RePEc:gam:jlogis:v:5:y:2021:i:1:p:8-:d:490514
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    References listed on IDEAS

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    1. Tangsucheeva, Rattachut & Prabhu, Vittaldas, 2013. "Modeling and analysis of cash-flow bullwhip in supply chain," International Journal of Production Economics, Elsevier, vol. 145(1), pages 431-447.
    2. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    3. Tangsucheeva, Rattachut & Prabhu, Vittaldas, 2014. "Stochastic financial analytics for cash flow forecasting," International Journal of Production Economics, Elsevier, vol. 158(C), pages 65-76.
    4. Tsai, Chih-Yang, 2011. "On delineating supply chain cash flow under collectionrisk," International Journal of Production Economics, Elsevier, vol. 129(1), pages 186-194, January.
    5. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
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