Saving money and the environment: studying pricing problem in sustainable third-party logistics with green and marketing initiatives using game theory

References

• Agi, M. A., Faramarzi-Oghani, S., & Hazır, Ö. (2021). Game theory-based models in green supply chain management: A review of the literature. International Journal of Production Research, 59(15), 4736–4755. https://doi.org/10.1080/00207543.2020.1770893
   Web of Science ®Google Scholar
• Agyabeng-Mensah, Y., Afum, E., Acquah, I. S. K., Dacosta, E., Baah, C., & Ahenkorah, E. (2020). The role of green logistics management practices, supply chain traceability and logistics ecocentricity in sustainability performance. The International Journal of Logistics Management, 538–566.
   Web of Science ®Google Scholar
• Alizadeh-Basban, N., & Taleizadeh, A. A. (2020). A hybrid circular economy-game theoretical approach in a dual-channel green supply chain considering sale’s effort, delivery time, and hybrid remanufacturing. Journal of Cleaner Production, 250, 119521. https://doi.org/10.1016/j.jclepro.2019.119521
   Web of Science ®Google Scholar
• Barari, S., Agarwal, G., Zhang, W. C., Mahanty, B., & Tiwari, M. K. (2012). A decision framework for the analysis of green supply chain contracts: An evolutionary game approach. Expert Systems with Applications, 39(3), 2965–2976. https://doi.org/10.1016/j.eswa.2011.08.158
   Web of Science ®Google Scholar
• Barron, E. N. (2013). Game theory: An introduction (Vol. 2). John Wiley & Sons.
   Google Scholar
• Basu, R., & Wright, J. N. (2010). Total supply chain management. Routledge.
   Google Scholar
• Bruglieri, M., Mancini, S., Pezzella, F., & Pisacane, O. (2019). A path-based solution approach for the green vehicle routing problem. Computers & Operations Research, 103, 109–122. https://doi.org/10.1016/j.cor.2018.10.019
   Web of Science ®Google Scholar
• Cachon, G. P., & Netessine, S. (2006). Game theory in supply chain analysis. Models, Methods, and Applications for Innovative Decision Making, 200–233.
   Google Scholar
• Cai, G., & Kock, N. (2009). An evolutionary game theoretic perspective on e-collaboration: The collaboration effort and media relativeness. European Journal of Operational Research, 194(3), 821–833. https://doi.org/10.1016/j.ejor.2008.01.021
   Web of Science ®Google Scholar
• Camacho-Vallejo, J.-F., López-Vera, L., Smith, A. E., & González-Velarde, J.-L. (2022). A tabu search algorithm to solve a green logistics bi-objective bi-level problem. Annals of Operations Research, 316(2), 927–953. https://doi.org/10.1007/s10479-021-04195-w
   Web of Science ®Google Scholar
• Chen, M.-H., Wei, H., Wei, M., Huang, H., & Su, C.-H. J. (2021). Modeling a green supply chain in the hotel industry: An evolutionary game theory approach. International Journal of Hospitality Management, 92, 102716. https://doi.org/10.1016/j.ijhm.2020.102716
   Web of Science ®Google Scholar
• Chen, Y., Ding, S., Zheng, H., Zhang, Y., & Yang, S. (2018). Exploring diffusion strategies for mHealth promotion using evolutionary game model. Applied Mathematics and Computation, 336, 148–161. https://doi.org/10.1016/j.amc.2018.04.062
   Web of Science ®Google Scholar
• Colapinto, C., Jayaraman, R., Ben Abdelaziz, F., & La Torre, D. (2020). Environmental sustainability and multifaceted development: Multi-criteria decision models with applications. Annals of Operations Research, 293(2), 405–432. https://doi.org/10.1007/s10479-019-03403-y
   Web of Science ®Google Scholar
• Das, S. K., Pervin, M., Roy, S. K., & Weber, G. W. (2021). Multi-objective solid transportation-location problem with variable carbon emission in inventory management: A hybrid approach. Annals of Operations Research, 1–27.
   PubMed Web of Science ®Google Scholar
• Das Roy, M., & Sana, S. S. (2023). The return and remanufacturing rates in a multi-stage green supply chain system with rework, variable shipping cost and ordering cost reduction. International Journal of Systems Science: Operations & Logistics, 10(1), 2113174. https://doi.org/10.1080/23302674.2022.2113174
   Web of Science ®Google Scholar
• Eskandari-Khanghahi, M., Tavakkoli-Moghaddam, R., Taleizadeh, A. A., & Amin, S. H. (2018). Designing and optimizing a sustainable supply chain network for a blood platelet bank under uncertainty. Engineering Applications of Artificial Intelligence, 71, 236–250. https://doi.org/10.1016/j.engappai.2018.03.004
   Web of Science ®Google Scholar
• Evangelista, P., Santoro, L., & Thomas, A. (2018). Environmental sustainability in third-party logistics service providers: A systematic literature review from 2000–2016. Sustainability, 10(5), 1627. https://doi.org/10.3390/su10051627
   Web of Science ®Google Scholar
• Fadavi, A., Jolai, F., & Taleizadeh, A. A. (2022). Green product design in a supply chain with considering marketing under competition and coordination. Environment, Development and Sustainability, 24(10), 11721–11759. https://doi.org/10.1007/s10668-021-01917-9
   Web of Science ®Google Scholar
• Friedman, D. (1991). Evolutionary games in economics. Econometrica: Journal of the Econometric Society, 637–666. https://doi.org/10.2307/2938222
   Web of Science ®Google Scholar
• Ghosh, D., & Shah, J. (2012). A comparative analysis of greening policies across supply chain structures. International Journal of Production Economics, 135(2), 568–583. https://doi.org/10.1016/j.ijpe.2011.05.027
   Web of Science ®Google Scholar
• Gong, M., Gao, Y., Koh, L., Sutcliffe, C., & Cullen, J. (2019). The role of customer awareness in promoting firm sustainability and sustainable supply chain management. International Journal of Production Economics, 217, 88–96. https://doi.org/10.1016/j.ijpe.2019.01.033
   Web of Science ®Google Scholar
• Gong, S., Sheng, G., Peverelli, P., & Dai, J. (2020). Green branding effects on consumer response: Examining a brand stereotype-based mechanism. Journal of Product & Brand Management, 1033–1046.
   Web of Science ®Google Scholar
• Govindan, K., Kadziński, M., Ehling, R., & Miebs, G. (2019). Selection of a sustainable third-party reverse logistics provider based on the robustness analysis of an outranking graph kernel conducted with ELECTRE I and SMAA. Omega, 85, 1–15. https://doi.org/10.1016/j.omega.2018.05.007
   Web of Science ®Google Scholar
• Gu, W., Wei, L., Zhang, W., & Yan, X. (2019). Evolutionary game analysis of cooperation between natural resource- and energy-intensive companies in reverse logistics operations. International Journal of Production Economics, 218, 159–169. https://doi.org/10.1016/j.ijpe.2019.05.001
   Web of Science ®Google Scholar
• Guin, S., Sarkar, A., & Pal, B. (2023). Discounting strategies’ effects on a closed-loop dual-channel environmentally friendly supply chain of complementary products under sales effort. International Journal of Systems Science: Operations & Logistics, 10(1), 2228949. https://doi.org/10.1080/23302674.2023.2228949
   Web of Science ®Google Scholar
• Hafezalkotob, A., Mahmoudi, R., Hajisami, E., & Wee, H. M. (2018). Wholesale-retail pricing strategies under market risk and uncertain demand in supply chain using evolutionary game theory. Kybernetes, 1178–1201.
   Web of Science ®Google Scholar
• Hao, C., Du, Q., Huang, Y., Shao, L., & Yan, Y. (2019). Evolutionary game analysis on knowledge-sharing behavior in the construction supply chain. Sustainability, 11(19), 5319. https://doi.org/10.3390/su11195319
   Web of Science ®Google Scholar
• Heydari, H., Taleizadeh, A. A., & Jolai, F. (2023). Financing a two-stage sustainable supply chain using green bonds: Preventing environmental pollution and waste generation. Engineering Applications of Artificial Intelligence, 117, 105583. https://doi.org/10.1016/j.engappai.2022.105583
   Web of Science ®Google Scholar
• Heydari, J., Govindan, K., & Basiri, Z. (2021). Balancing price and green quality in presence of consumer environmental awareness: A green supply chain coordination approach. International Journal of Production Research, 59(7), 1957–1975. https://doi.org/10.1080/00207543.2020.1771457
   Web of Science ®Google Scholar
• Huang, S., Fan, Z.-P., & Wang, X. (2019). Optimal operational strategies of supply chain under financing service by a 3PL firm. International Journal of Production Research, 57(11), 3405–3420. https://doi.org/10.1080/00207543.2018.1534017
   Web of Science ®Google Scholar
• Huang, Y.-S., Fang, C.-C., & Lin, Y.-A. (2020). Inventory management in supply chains with consideration of logistics, green investment and different carbon emissions policies. Computers & Industrial Engineering, 139, 106207. https://doi.org/10.1016/j.cie.2019.106207
   Web of Science ®Google Scholar
• Islam, M. A., Gajpal, Y., & Elmekkawy, T. Y. (2021). Mixed fleet based green clustered logistics problem under carbon emission cap. Sustainable Cities and Society, 103074.
   Web of Science ®Google Scholar
• Jinliang, W., Chau, K. Y., Baei, F., Moslehpour, M., Nguyen, K.-L., & Nguyen, T. T. H. (2023). Integrated perspective of eco-innovation, green branding, and sustainable product: A case of an emerging economy. Economic Research-Ekonomska Istraživanja, 36(3), 2196690. https://doi.org/10.1080/1331677X.2023.2196690
   Google Scholar
• Kang, K., Zhao, Y., Zhang, J., & Qiang, C. (2019). Evolutionary game theoretic analysis on low-carbon strategy for supply chain enterprises. Journal of Cleaner Production, 230, 981–994. https://doi.org/10.1016/j.jclepro.2019.05.118
   Web of Science ®Google Scholar
• Karagiannis, G., Minis, I., Arampantzi, C., & Dikas, G. (2023). Warehousing and distribution network design from a Third-Party Logistics (3PL) company perspective. International Journal of Production Research, 1–11.
   Google Scholar
• Kayvanfar, V., Husseini, S. M., Karimi, B., & Sajadieh, M. S. (2017). Bi-objective intelligent water drops algorithm to a practical multi-echelon supply chain optimization problem. Journal of Manufacturing Systems, 44, 93–114. https://doi.org/10.1016/j.jmsy.2017.05.004
   Web of Science ®Google Scholar
• Kusi-Sarpong, S., Gong, Y., Brown, S., Gupta, H., Bai, C., & Orji, I. J. (2023). Multi-tier sustainable supply chains management for global sustainability. International Journal of Production Research, 61(14), 4592–4602. Taylor & Francis. https://doi.org/10.1080/00207543.2023.2216831
   Web of Science ®Google Scholar
• Leng, M., & Parlar, M. (2005). Game theoretic applications in supply chain management: A review. INFOR: Information Systems and Operational Research, 43(3), 187–220. https://doi.org/10.1080/03155986.2005.11732725
   Web of Science ®Google Scholar
• Li, C., Zhang, F., Cao, C., Liu, Y., & Qu, T. (2019). Organizational coordination in sustainable humanitarian supply chain: An evolutionary game approach. Journal of Cleaner Production, 219, 291–303. https://doi.org/10.1016/j.jclepro.2019.01.233
   Web of Science ®Google Scholar
• Lieb, R. C., & Lieb, K. J. (2011). The North American Third Party Logistics industry in 2010: The provider CEO perspective. Supply Chain Forum: An International Journal, 12(3), 44–52. https://doi.org/10.1080/16258312.2011.11517272
   Google Scholar
• Liu, P., & Wang, S. (2021). Logistics outsourcing of fresh enterprises considering fresh-keeping efforts based on evolutionary game analysis. IEEE Access, 9, 25659–25670. https://doi.org/10.1109/ACCESS.2021.3056699
   Web of Science ®Google Scholar
• Ma, J., & Hong, Y. (2021). Dynamic game analysis on pricing and service strategy in a retailer-led supply chain with risk attitudes and free-ride effect. Kybernetes, 1199–1230.
   Web of Science ®Google Scholar
• Ma, P., Wang, H., & Shang, J. (2013). Supply chain channel strategies with quality and marketing effort-dependent demand. International Journal of Production Economics, 144(2), 572–581. https://doi.org/10.1016/j.ijpe.2013.04.020
   Web of Science ®Google Scholar
• Mahmoudi, A., Govindan, K., Shishebori, D., & Mahmoudi, R. (2021). Product pricing problem in green and non-green multi-channel supply chains under government intervention and in the presence of third-party logistics companies. Computers & Industrial Engineering, 159, 107490. https://doi.org/10.1016/j.cie.2021.107490
   Web of Science ®Google Scholar
• Mandal, A., & Pal, B. (2023). Investigating dual-channel green supply chain considering refurbishing process and product recycling with environmental awareness effort. Mathematics and Computers in Simulation, 204, 695–726. https://doi.org/10.1016/j.matcom.2022.09.009
   Web of Science ®Google Scholar
• Naber, S. K., de Ree, D. A., Spliet, R., & van den Heuvel, W. (2015). Allocating CO2 emission to customers on a distribution route. Omega, 54, 191–199. https://doi.org/10.1016/j.omega.2015.01.017
   Web of Science ®Google Scholar
• Oliver, R. K., & Webber, M. D. (1982). Supply-chain management: Logistics catches up with strategy. Outlook, 5(1), 42–47.
   Google Scholar
• Osman, M. C., Huge-Brodin, M., Ammenberg, J., & Karlsson, J. (2023). Exploring green logistics practices in freight transport and logistics: A study of biomethane use in Sweden. International Journal of Logistics Research and Applications, 26(5), 548–567. https://doi.org/10.1080/13675567.2022.2100332
   Web of Science ®Google Scholar
• Pal, B. (2023). Investigating a closed-loop dual-channel green supply chain with stochastic demand rate and collection ratio using the distribution-free approach. Computers & Industrial Engineering, 184, 109588. https://doi.org/10.1016/j.cie.2023.109588
   Web of Science ®Google Scholar
• Pal, B., & Sana, S. S. (2022). Game-theoretic analysis in an environment-friendly competitive closed-loop dual-channel supply chain with recycling. Operations Management Research, 15(3-4), 627–646. https://doi.org/10.1007/s12063-021-00221-z
   Web of Science ®Google Scholar
• Pal, B., & Sarkar, A. (2023). Pricing and greening decisions of a government-subsidised dual-channel closed-loop green supply chain model with price-dependent collection rate. International Journal of Systems Science: Operations & Logistics, 10(1), 2224510. https://doi.org/10.1080/23302674.2023.2224510
   Web of Science ®Google Scholar
• Pal, B., Sarkar, A., & Sarkar, B. (2023). Optimal decisions in a dual-channel competitive green supply chain management under promotional effort. Expert Systems with Applications, 211, 118315. https://doi.org/10.1016/j.eswa.2022.118315
   Web of Science ®Google Scholar
• Panja, S., & Mondal, S. K. (2020). Exploring a two-layer green supply chain game theoretic model with credit linked demand and mark-up under revenue sharing contract. Journal of Cleaner Production, 250, 119491. https://doi.org/10.1016/j.jclepro.2019.119491
   Web of Science ®Google Scholar
• Parvasi, S. P., Taleizadeh, A. A., & Cárdenas-Barrón, L. E. (2023). Retail price competition of domestic and international companies: A bi-level game theoretical optimization approach. RAIRO - Operations Research, 57(1), 291–323. https://doi.org/10.1051/ro/2023007
   Web of Science ®Google Scholar
• Qian, X., Fang, S.-C., Yin, M., Huang, M., & Li, X. (2021). Selecting green third party logistics providers for a loss-averse fourth party logistics provider in a multiattribute reverse auction. Information Sciences, 548, 357–377. https://doi.org/10.1016/j.ins.2020.09.011
   Web of Science ®Google Scholar
• Reddy, K. N., Kumar, A., Choudhary, A., & Cheng, T. E. (2022). Multi-period green reverse logistics network design: An improved Benders-decomposition-based heuristic approach. European Journal of Operational Research, 303(2), 735–752. https://doi.org/10.1016/j.ejor.2022.03.014
   Web of Science ®Google Scholar
• Rodrigue, J.-P., Slack, B., & Comtois, C. (2017). Green logistics. In Handbook of logistics and supply-chain management (pp. 339–350). Emerald Group Publishing Limited.
   Google Scholar
• Smith, J. M. (1982). Evolution and the theory of games. Cambridge university press.
   Google Scholar
• Song, H., & Gao, X. (2018). Green supply chain game model and analysis under revenue-sharing contract. Journal of Cleaner Production, 170, 183–192. https://doi.org/10.1016/j.jclepro.2017.09.138
   Web of Science ®Google Scholar
• Sun, H., Wan, Y., Zhang, L., & Zhou, Z. (2019). Evolutionary game of the green investment in a two-echelon supply chain under a government subsidy mechanism. Journal of Cleaner Production, 235, 1315–1326. https://doi.org/10.1016/j.jclepro.2019.06.329
   Web of Science ®Google Scholar
• Sun, Y., Lu, Y., & Zhang, C. (2019). Fuzzy linear programming models for a green logistics center location and allocation problem under mixed uncertainties based on different carbon dioxide emission reduction methods. Sustainability, 11(22), 6448. https://doi.org/10.3390/su11226448
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Aboutorabian, F., Moradi, R., Moon, I., & Mohamadi, N. (2023). Pricing, warranty, and shelf space decisions for the supply chain with non-symmetric market and warranty-period dependent demand. Operational Research, 23(4), 61. https://doi.org/10.1007/s12351-023-00803-8
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Ahmadzadeh, K., Sarker, B. R., & Ghavamifar, A. (2022). Designing an optimal sustainable supply chain system considering pricing decisions and resilience factors. Journal of Cleaner Production, 332, 129895. https://doi.org/10.1016/j.jclepro.2021.129895
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Aliabadi, L., & Thaichon, P. (2022). A sustainable inventory system with price-sensitive demand and carbon emissions under partial trade credit and partial backordering. Operational Research, 1–46.
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Alizadeh-Basban, N., & Sarker, B. R. (2018). Coordinated contracts in a two-echelon green supply chain considering pricing strategy. Computers & Industrial Engineering, 124, 249–275. https://doi.org/10.1016/j.cie.2018.07.024
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Haghighi, F., & Niaki, S. T. A. (2019). Modeling and solving a sustainable closed loop supply chain problem with pricing decisions and discounts on returned products. Journal of Cleaner Production, 207, 163–181. https://doi.org/10.1016/j.jclepro.2018.09.198
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Noori-Daryan, M., & Sana, S. S. (2020). Manufacturing and selling tactics for a green supply chain under a green cost sharing and a refund agreement. Journal of Modelling in Management, 15(4), 1419–1450. https://doi.org/10.1108/JM2-01-2019-0016
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Rebie, N., Yue, X., & Daryan, M. N. (2023). Pricing decisions through O2O commerce in a closed-loop green supply network and logistics under return and cooperative advertising policies. Computers & Industrial Engineering, 183. https://doi.org/10.1016/j.cie.2023.109539.
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Sane-Zerang, E., & Choi, T.-M. (2016). The effect of marketing effort on dual-channel closed-loop supply chain systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(2), 265–276. https://doi.org/10.1109/TSMC.2016.2594808
   Web of Science ®Google Scholar
• Taleizadeh, A. A., & Sherafati, M. (2019). A three-level supply chain with warranty services, pricing and marketing decisions: Competition and cooperation analysis. Journal of Modelling in Management, 14(3), 686–716. https://doi.org/10.1108/JM2-06-2018-0085
   Web of Science ®Google Scholar
• Tian, Y., Govindan, K., & Zhu, Q. (2014). A system dynamics model based on evolutionary game theory for green supply chain management diffusion among Chinese manufacturers. Journal of Cleaner Production, 80, 96–105. https://doi.org/10.1016/j.jclepro.2014.05.076
   Web of Science ®Google Scholar
• Tirkolaee, E. B., Goli, A., & Mardani, A. (2021). A novel two-echelon hierarchical location-allocation-routing optimization for green energy-efficient logistics systems. Annals of Operations Research, 1–29.
   Web of Science ®Google Scholar
• Trivellas, P., Malindretos, G., & Reklitis, P. (2020). Implications of green logistics management on sustainable business and supply chain performance: Evidence from a survey in the Greek agri-food sector. Sustainability, 12(24), 10515. https://doi.org/10.3390/su122410515
   Web of Science ®Google Scholar
• Xiao, T., & Chen, G. (2009). Wholesale pricing and evolutionarily stable strategies of retailers with imperfectly observable objective. European Journal of Operational Research, 196(3), 1190–1201. https://doi.org/10.1016/j.ejor.2008.04.009
   Web of Science ®Google Scholar
• Xing, X.-H., Hu, Z.-H., & Luo, W.-P. (2020). Using evolutionary game theory to study governments and logistics companies’ strategies for avoiding broken cold chains. Annals of Operations Research, 1–29.
   Web of Science ®Google Scholar
• Xu, L. D. (2011). Information architecture for supply chain quality management. International Journal of Production Research, 49(1), 183–198. https://doi.org/10.1080/00207543.2010.508944
   Web of Science ®Google Scholar
• Zailani, S., Amran, A., & Jumadi, H. (2011). Green innovation adoption among logistics service providers in Malaysia: An exploratory study on the managers’ perceptions. International Business Management, 5(3), 104–113.
   Google Scholar
• Zaman, K., & Shamsuddin, S. (2017). Green logistics and national scale economic indicators: Evidence from a panel of selected European countries. Journal of Cleaner Production, 143, 51–63. https://doi.org/10.1016/j.jclepro.2016.12.150
   Web of Science ®Google Scholar
• Zhang, H., Wang, Z., Hong, X., & Zhong, Q. (2022). Fuzzy closed-loop supply chain models with quality and marketing effort-dependent demand. Expert Systems with Applications, 207, 118081. https://doi.org/10.1016/j.eswa.2022.118081
   Web of Science ®Google Scholar
• Zhang, R., Liu, J., & Qian, Y. (2023). Wholesale-price vs cost-sharing contracts in a green supply chain with reference price effect under different power structures. Kybernetes, 52(5), 1879–1902. https://doi.org/10.1108/K-11-2021-1096
   Web of Science ®Google Scholar
• Zhang, Y., Chen, W., & Mi, Y. (2020). Third-party remanufacturing mode selection for competitive closed-loop supply chain based on evolutionary game theory. Journal of Cleaner Production, 263, 121305. https://doi.org/10.1016/j.jclepro.2020.121305
   Web of Science ®Google Scholar
• Zhu, Q., & Dou, Y. (2007). Evolutionary game model between governments and core enterprises in greening supply chains. Systems Engineering-Theory & Practice, 27(12), 85–89. doi:10.1016/S1874-8651(08)60075-7
   Google Scholar