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The principal-agent problem in supply chain management – the simulation based framework Cover

The principal-agent problem in supply chain management – the simulation based framework

Open Access
|Jun 2022

References

  1. Anholcer, M., Hinc, T. and Kawa, A. (2019) Losses in Transportation - Importance and Methods of Handling. In: A. Kawa and A. Maryniak, SMART Supply Network. Springer International Publishing, Berlin Heidelberg, 111-128.10.1007/978-3-319-91668-2_6
  2. Barton, D., Manyika, J. and Williamson, S. K. (2017) Finally, evidence that managing for the long term pays off. Harvard Business Review, 9. https://hbr.org/2017/02finally-proof-that-managing-for-the-long-term-pays-off
  3. Craighead, C. W., Blackhurst, J., Rungtusanatham, M. and Handfields, R. B. (2007) The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities. Decision Sciences, 38(1), 131-156.10.1111/j.1540-5915.2007.00151.x
  4. De Boer, L., Labro, E. and Morlacchi, P. (2001) A review of methods supporting supplier selection. European Journal of Purchasing and Supply Management, 7(2), 75–89.10.1016/S0969-7012(00)00028-9
  5. Elock Son, C. (2018) Supply Chain Risk Management: A Review of Thirteen Years of Research. American Journal of Industrial and Business Management, 8(12), 2294.10.4236/ajibm.2018.812154
  6. Financial Times (2020, April 22) Companies should shift from ‘just in time’ to ‘just in case’. Financial Times. Retrieved from Financial Times: https://www.ft.com/content/606d1460-83c6-11ea-b555-37a289098206
  7. Greenwood, R. M., Iverson, B. C. and Thesmar, D. (2020) Sizing up corporate restructuring in the covid crisis. NBER Working Paper. no. 28104, November.10.3386/w28104
  8. Grossman, S. and Hart, O. (1983) An Analysis of the Principal-Agent Problem. Econometrica 51, 302-340.10.2307/1912246
  9. Hadwick, A. (2020, July 3) The end of just-in-time? Reuters Events.
  10. Janda, K. (2006) Lender and borrower as principal and agent. Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies.
  11. Jensen, M. C. and Meckling, W. H. (1976) Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360.10.1016/0304-405X(76)90026-X
  12. Kersten, G. E. (1985) NEGO—group decision support system. Information & Management, 8(5), 237-246.10.1016/0378-7206(85)90001-1
  13. Kersten, G. E. (1997) Support for group decisions and negotiations an overview. In: J. Climavco, ed., Multicriteria Analysis, Springer Verlag, 332–346.10.1007/978-3-642-60667-0_32
  14. Kuwornu, J., Kuiper, W. and Pennings, J. (2009) Agency problem and hedging in agri-food chains: Model and application. Journal of Marketing Channels, 16(3), 265-289.10.1080/10466690902934557
  15. Li, G., Kou, G. and Peng, Y. (2016) A group decision making model for integrating heterogeneous information. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(6), 982-992.10.1109/TSMC.2016.2627050
  16. Martin, R. L. (2021) It’s Time to Replace the Public Corporation. Harvard Business Review 99(1), 34–42.
  17. Minner, S. (2003) Multiple-supplier inventory models in supply chain management: A review. International Journal of Production Economics, 81-82, 265–279.10.1016/S0925-5273(02)00288-8
  18. Myerson, R. (1982) Optimal coordination mechanisms in generalized principal–agent problems. Journal of Mathematical Economics, 10(1), 67-81.10.1016/0304-4068(82)90006-4
  19. Persson, F. and Olhager, J. (2002) Performance simulation of supply chain designs. International Journal of Production Economics, 77(3), 231-245.10.1016/S0925-5273(00)00088-8
  20. Petrovic, D., Roy, R. and Petrovic, R. (1998) Modelling and simulation of a supply chain in an uncertain environment. European Journal of Operational Research, 109(2), 299-309.10.1016/S0377-2217(98)00058-7
  21. Pourhejazy, P. and Kwon, O. K. (2016) The New Generation of Operations Research Methods in Supply Chain Optimization: A Review. Sustainability, 8(10), 1033. https://doi.org/10.3390/su8101033
  22. Páez-Pérez, D. and Sánchez-Silva, M. (2019) A dynamic principal-agent framework for modeling the performance of infrastructure. European Journal of Operational Research, 254(2), 576-592.10.1016/j.ejor.2016.03.027
  23. Rajhans, N., Patil, S. and Kulkarni, P. (2015) Mathematical Model for Calculating Inventory Carrying Cost. IIIE Journal, 8(1), 12–14.
  24. Ross, S. (1963) The economic theory of agency: The principal’s problem. The American Economic Review, 63(2), 134-139.
  25. Sharpe, W. F. (1994) The Sharpe Ratio. Journal of Portfolio Management 21(1), 49-58.10.3905/jpm.1994.409501
  26. Tang, C. S. (2006) Perspectives in supply chain risk management. International Journal of Production Economics, 103(2).10.1016/j.ijpe.2005.12.006
  27. Tang, C. S. (2006) Robust strategies for mitigating supply chain disruptions. International Journal of Logistics, 9(1), 33-45.10.1080/13675560500405584
  28. Tsay, A., Nahmias, S. and Agrawal, N. (1999) Modeling supply chain contracts: A review. In: Quantitative Models for Supply Chain Management. Springer, Boston.10.1007/978-1-4615-4949-9_10
  29. Wang, J., Yang, J., Iverson, B. C. and Kluender, R. (2020) Bankruptcy and the COVID-19 Crisis. Harvard Business School. Working Paper, SSRN 3690398.10.2139/ssrn.3690398
  30. Wang, S., Chen, K., Liu, Z., Guo, R.-Y. and Chen, S. (2018) An ontology-based approach for supply-chain quality control: From a principal– agent perspective. Journal of Information Science, 45(3), 283-303.10.1177/0165551518787693
  31. Williamson, O. and Masten, S. (1999) The Economics of Transaction Costs. Edward Elgar Publishing.
DOI: https://doi.org/10.2478/candc-2021-0011 | Journal eISSN: 2720-4278 | Journal ISSN: 0324-8569
Language: English
Page range: 195 - 221
Submitted on: Dec 1, 2020
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Accepted on: Mar 1, 2021
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Published on: Jun 23, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Kinga Siuta, Daniel Kaszyński, published by Systems Research Institute Polish Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.