Profitability and pricing decision-making structures in presence of uncertain demand and green technology investment for a three tier supply chain

Gupta, Renu; Goswami, Mohit; Daultani, Yash; Biswas, Baidyanath; Allada, Venkat

doi:10.1016/j.cie.2023.109190

Cited by 13 publications

(6 citation statements)

References 76 publications

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“…The writers simulate the reduction of overall expenses in a three-tier supply chain comprising producers, retailers, and financial institutions. These expenses consist of financial charges for the bank, supplier, and seller and include, among other things, the expenses associated with purchases and orders, inventories, storage, borrowings, financial transac-tions, opportunities, and capital constraints [39]. The research suggested by Liu et al [40] for designing the SCN concept, by taking unpredictable requests keeping in mind and including financial difficulties like financial ratios, broadens the scope of existing models.…”

Section: Scn Considering the Financial Flowmentioning

confidence: 99%

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Abbasi,

Vlachos,

Samadzadeh

et al. 2024

Logistics

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Background: Supply chain networks (SCNs) have been interrupted by the COVID-19 pandemic, leaving them open to financial losses. SCs have been impacted by the pandemic, necessitating the adoption of sustainable practices and dynamic capacities to ensure resilience and performance. Several studies have focused on this subject, offering insights into the importance of sustainable supply-chain management, corporate governance, big data management activities, and digital technology in minimising the consequences of the pandemic and fostering sustainability. Methods: This study suggests an analytical framework for assessing environmentally friendly procedures and dynamic capacities to assure performance in a disruptive environment. Results: The following are some of the important details and contributions in this article: (1) developed a conceptual framework for assessing dynamic capacities and sustainable behaviours considering COVID-19, (2) concentrates on financial ratios during COVID-19, and (3) established drivers for sustainable practices and competencies during disruption and unpredictable business settings. Conclusions: The suggested model can assist practitioners in creating and implementing sustainable supply chain (SC) activities and tracking and assessing their effects on the sustainability of businesses. So, the proposed model can assist managers in creating and implementing sustainable supply-chain activities and tracking and analysing their effects on the sustainability of businesses.

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Section: Scn Considering the Financial Flowmentioning

confidence: 99%

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Abbasi,

Vlachos,

Samadzadeh

et al. 2024

Logistics

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“…As the research progressed, studies on three-tier supply chains gradually began to emerge. R. Gupta (2023) considered demand uncertainty and investment in green technology to establish a three-tier supply chain with manufacturers, suppliers, and retailers, which was used to explore profitability and pricing decisions [21]. A.…”

Section: Literature Reviewmentioning

confidence: 99%

Evolutionary Game Analysis of Green Supply Chain Management Diffusion under Environmental Regulation

Qi,

Guo,

Guan

et al. 2024

Sustainability

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The continuous deterioration of the ecological environment and the increasing scarcity of resources have posed a serious challenge to the survival and development of human beings, and the implementation of green supply chain management (GSCM) in this context is an effective means to ensure the sustainable development of society and the economy. In order to seek the optimal strategy of evolutionary game in the implementation of green supply chain management and explore the influence of environmental regulation intensity and public preference degree on the evolution process of green supply chain management diffusion development, this paper takes the study of green supply chain management diffusion as the core innovation point, and under the premise of environmental regulation, selects the government, the core enterprise, and the public as the participating bodies of green supply chain management diffusion, and uses the theory of evolutionary game to construct a diffusion model of green supply chain management. Using evolutionary game theory to construct a diffusion model, and with the help of MATLAB and other mathematical tools for numerical simulation analysis, we discuss the diffusion of the green supply chain and derive the optimal combination strategy. The results of the study show that: (1) there are four evolutionary stable states in the process of green supply chain management diffusion: preliminary diffusion, extinction, semi-diffusion, and full diffusion; (2) it will be beneficial for the government to promote the evolutionary diffusion of green supply chain management by implementing a higher intensity of pollution tax policy while implementing green supply chain incentive strategies; (3) the government, while implementing environmental regulation policies, should also pay attention to the guidance of the public’s awareness of environmental friendliness and greenness, and focus on the role of the comprehensive strategy selection of the three parties of the game in reaching the optimal state. The conclusions of the study provide theoretical guidance and decision support for the implementation and diffusion of green supply chain management under environmental regulation.

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“…Authors Title (Bag et al 2023) Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study (Chisholm and Critchley 2023) Future directions in regulatory affairs (Gallo, Khadem, and Alzubi 2023) The Relationship between Big Data Analytic-Artificial Intelligence and Environmental Performance: A Moderated Mediated Model of Green Supply Chain Collaboration (GSCC) and Top Management Commitment (TMC) (Gong 2023) Digital transformation of supply chain management in retail and e-commerce (Gupta et al 2023) Profitability and pricing decision-making structures in presence of uncertain demand and green technology investment for a three-tier supply chain (Osama, Elgarhy, and Elseddawy 2023)…”

Section: Findings Andmentioning

confidence: 99%

Artificial Intelligence Use in Collaborative Network Processes

Andres,

Fernandez-Garcia,

Urze

et al. 2024

Preprint

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The paper seeks to outline the impact of artificial intelligence (AI) on collaborative networks (CNs) by thoroughly examining the current literature. Given the growth of AI and its limited exploration in many business strategies, especially when collaboration among networked partners is established, this paper focuses on defining the research lines and AI application in CN processes by advancing some relevant ideas about how AI can improve networks’ resilience and antifragility. It discusses research on the integration of AI in CN from the following perspectives: (i) the collaborative processes addressed, (ii) the level of decision-making, (iii) the partners involved in the collaboration; (iv) the technologies that are jointly used with AI to support CN processes; (v) the programming languages implemented to develop AI algorithms; (vi) the sectors in which it AI is mainly implemented, and (vi) the potentialities of IA in CN in an increasingly turbulent and disruptive business world. The literature review has provided a global comprehension of the interplay between CN processes and AI-driven advancements, providing a response about the technologies that can merge with AI to support CN processes. The results derived from the literature analysis have allowed the establishment of a conceptual framework for AI use in CNs and outline future research directions in this field of study.

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Profitability and pricing decision-making structures in presence of uncertain demand and green technology investment for a three tier supply chain

Cited by 13 publications

References 76 publications

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Evolutionary Game Analysis of Green Supply Chain Management Diffusion under Environmental Regulation

Artificial Intelligence Use in Collaborative Network Processes

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