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24 May 2019

Research workshop by Natalia Nikolchenko (GSOM SPbU PhD student)


Key Data

When:  May 24th, 4 pm – 5.30 pm

Where:  GSOM SPbU campus, Volkhovskiy per., 3, room 215

Recommended for:  doctoral students and academic staff

Language:  English

Participation:  registration required



About Event


Aim of the seminar

Presentation of the results of the doctoral program final thesis “Improvement of supply chain performance through collaboration and coordination”.


Moderator of the seminar: Doctor of Science (Economics), Professor Galina V. Shirokova.


Scientific advisor: Candidate of Science (Applied Mathematics), Associate Professor, Nikolay A. Zenkevich.



Candidate of Science (Economics), Seniour Lecturer, Anna S. Veselova,  

Candidate of Science (Economics), Associate Professor, Yulia B. Ilina



The study investigates conceptual model of the influence of collaboration on supply chain performance in distribution networks. The collaborative activities used in distribution networks were systemized. The supply chain performance was evaluated through operational and firm performance indicators. Operational performance indicators include on-time delivery, offering flexibility, return of inventory, logistic costs. Firm performance indicators are customer satisfaction, ROI, satisfaction from collaboration, market share growth, and sales growth. Based on empirical data of distribution network the structural equation model was developed. The variables of the model are follows: collaborative activities, collaborative advantage, operational performance and firm performance. The results of the modelling demonstrate that collaborative activities implementation improves operational performance, and firm performance can be improved through collaborative advantage and operational performance.

Collaboration in centralized distribution networks usually has a form of cooperation. In decentralized distribution networks the supply chain collaboration requires a coordination, which creates conditions for optimizing the performance of supply networks under the condition of maximizing performance of its participants. The study of cooperation and coordination in distribution networks considers the profit as performance indicator.

For cooperative model of distribution network, the solution of multi-step hierarchy game is developed. At the first step, we constructed the competitive solution for the network as the perfect Nash equilibrium in the multi-step hierarchical game in closed form. At the second step, we constructed the cooperative solution, where winnings of all participants in the found perfect Nash equilibrium are considered as a point of the status quo. Cooperative solution is founded as weighted Nash equilibrium received as a solution of separable non-linear programming problem. The modelling results based on empirical data of distribution networks show that the cooperative solution might exist only in resource-based or centralized distribution networks.

In decentralized distribution networks collaboration requires coordination of network members’ actions for the improvement of the supply chain performance. For coordination problem solution the coordinating contracts were used. The coordinating contracts design is based on the two-sides contracts between manufacturer and distributor, and between distributor and retailer, moreover the distributor has a role of coordinator. The coordination problem solution of the supply chain requires the usage of backward induction method, in order to which the coordinating contract between distributor and retailer is designed first and then the contract between manufacturer and distributor is designed. In this research the model of coordinating sales rebate contract and coordination solution algorithm for two supply chain participants were developed. The coordination solution algorithm is proposed. For the distribution network coordination solution, the model of coordination with revenue-sharing and sales-rebate contracts was developed. It was demonstrated that the use of these coordinating contracts provides all participants the contractual shares of the supply chain profit and motivates them to increase the profit of the whole supply chain and decrease their costs.


About Speaker



Natalia Nikolchenko is a PhD student, Graduate School of Management, St.Petersburg University. Her research interests lie in the field of supply chain management, collaboration in and coordination in supply chains, as well as coordinating contracts.

Key publications:

  • Zenkevich N., I. Berezinets, N.Nikolchenko, A. Ruchyova. 2019. Conditionally coordinating contracts in supply chains (book chapter in "Frontiers of Dynamic Games. Game Theory and Management, St. Petersburg, 2018").
  • Никольченко Н.К. 2018. Оптимизация прибыли цепи поставок на основе координирующих контрактов. // Корпоративные финансы, Т.12, вып. 4, стр. 71-85.
  • Березинец И.В., Никольченко Н.К., Зенкевич Н.К. 2018. Совместное планирование в цепях поставок и финансовая результативность: практика российских компаний. // Проблемы теории и практики управления, Вып. 10/2018, стр. 77-85.
  • Nikolchenko, N., Zenkevich, N., Lebedeva, A. 2018. Improvement of operational performance of internationalized companies through collaboration in distribution networks. // Journal of East-West Business, Vol. 24:4, pp. 339-370.
  • Berezinets I., Loniagina Y., Nikolchenko N., Zenkevich E. 2018. Coordination versus competition in supply chains. // Contributions to game theory and management. Vol. 11, pp. 22-41.
  • Loniagina Y., Nikolchenko N., Zenkevich N. 2018. Competitive and cooperative behavior in distribution networks. // Contributions to game theory and management. Vol. 11, pp. 73-102.
  • Nikolchenko N., Lebedeva A. 2017. Integrative approach to supply chain collaboration in distribution networks: impact on firm performance. // Contributions to game theory and management. Vol. 10, pp. 185-225.


Any Questions?


Elena Davydova

GSOM SPbU Research Support Department

Tel.: +7 (812) 323 84 53 ext. 614



Time and Place


When:  May 24th, 4 pm – 5.30 pm

Where:  GSOM SPbU campus, Volkhovskiy per., 3, room 215