Transfer of Risk in Supply Chain Management with Joint Pricing and Inventory Decision Considering Shortages

Khan, Irfanullah; Sarkar, Biswajit

doi:10.3390/math9060638

Cited by 15 publications

(3 citation statements)

References 58 publications

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“…The research limitations of this study are mainly related to the data acquisition approach used in the illustrative case study, i.e., to obtain the primary data used in the proposed model, it is necessary to apply a structured approach to capture the probabilities of failure along with their respective variance, which was not performed in this research as it has been reserved for future work. In addition to supporting decision making, it is also envisioned that the synergy of the proposed model with other supply chain models [48][49][50][51] can extend the applicability of the proposed model not only to partner selection, but also to supplier selection.…”

Section: Illustrative Case Study Results and Discussionmentioning

confidence: 99%

A Reputational-Risk-Based Match Selection Framework for Collaborative Networks in the Logistics Sector

et al. 2022

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Collaborative networks in the logistics sector have proven to be a solution that both meets environmental footprint reduction goals and addresses the impact of rising fuel prices on logistics companies, especially for small- and medium-sized enterprises. Despite these benefits, these collaborative networks have not received the desired amount of participation due to reputational risk. This paper develops a framework for assessing and managing reputational risk to encourage logistics companies’ participation in collaborative networks. To this end, customer satisfaction factors were correlated with logistics operations, and this correlation was then modeled using the Bowtie method, fault trees, event trees, reliability theory, and the Monte Carlo model. The results show that it is possible to implement a structured model that can be easily put into practice. Using an illustrative case study, it is also possible to prioritize three companies according to their reputational risk as assessed by the proposed model. The developed model can promote the sustainability of collaborative networks in the logistics industry by assessing and consistently reducing reputational risk, thus supporting the strengthening of the relationship between suppliers, logistics service providers, and end customers.

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Section: Illustrative Case Study Results and Discussionmentioning

confidence: 99%

A Reputational-Risk-Based Match Selection Framework for Collaborative Networks in the Logistics Sector

et al. 2022

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“…Forghani et al [15] adopted the rough set theory to study the effect of digital marketing strategies on the buying behavior of customers in online shopping stores in Tehran. There are also many articles that examined supply chain in other domains, such as production and inventory [33], distribution-free [27], remanufacturing [12], reworking [2], green products and social responsibility [37,38], circular economy [40], Fuzzy demand [6] and prawn fishery (Das et al, [13]).…”

Section: Literature Reviewmentioning

confidence: 99%

How cooperative advertising interacts with distributional contracts in a dual-channel system

Chen

et al. 2022

RAIRO-Oper. Res.

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With the development of E-commerce, an increasing number of online platforms are conducting advertising campaigns to expand their sales. In some situations, the manufacturer is willing to share the advertising cost, while in others it is not. Additionally, recently, many online platforms have started choosing an agency contract, instead of a wholesale contract, to obtain a predetermined proportion of revenue from the manufacturer to make profits. This paper studies a scenario of a manufacturer selling through both a direct channel and a platform channel to investigate the interaction between a manufacturer's cooperative advertising strategy and a platform's distribution contract choice. We develop a stylized model based on game theory to drive the optimal prices and advertising level under different contracts. By using a representative consumer function, we drive the following interesting results. Firstly, under the wholesale contract, a manufacturer prefers cooperating only when the cost-sharing rate is small, but under an agency contract, when the revenue-sharing rate is large, the manufacturer will not choose to cooperate even if the cost-sharing rate is low. Secondly, the platform's profit does not always increase in the revenue-sharing rate. Finally, under some conditions, the platform would prefer that the manufacturer not share the cost. Specifically, when the competition intensity is small and the revenue-share rate is high, the platform would rather choose an agency contract to cover all advertising costs on its own than a wholesale contract where the manufacturer is willing to share advertising costs. We also consider direct channel advertising as well in an extension, and the qualitative results still hold.

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“…[6,7]. Recent research suggests the advantage of strong coordination between manufacturers and retailers in decentralized supply chain management to address the risk of demand fluctuation in short life-cycle products [8]. Moreover, the concept and practice of green supply chains are gaining momentum in the agri-food sector.…”

Section: Introductionmentioning

confidence: 99%

Adoption of Blockchain Technology for Enhanced Traceability of Livestock-Based Products

2022

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Blockchain has become a modern technology that can enhance the traceability of products and services, which is particularly relevant to agri-food supply chains. This paper reviews studies on blockchain technology applications to the agri-food supply chain system and food industry, and discusses potential adaptation of blockchain technology for livestock-based products with a focus on the ASEAN Region and Thailand. A comprehensive method for reviewing the literature was adopted, and this paper encompasses stakeholders along the supply chain of livestock-based products to understand the prospect of applying blockchain technology to the sector. It was found that while blockchain technology is potentially sustainable and worthy of applications, there remain various limitations and complications toward adoption, such as the low awareness among stakeholders, the weak sector-wide coordination, and the lack of capacity in primary suppliers. Potential benefits and implications of blockchain technology for the food industry have yet to be widely understood, especially in the ASEAN. These findings would call for coordinated support from both the governments and the private sector, especially to raise awareness of the technology, reinforce sector-wide coordination, and develop skills required for adoption.

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Transfer of Risk in Supply Chain Management with Joint Pricing and Inventory Decision Considering Shortages

Cited by 15 publications

References 58 publications

A Reputational-Risk-Based Match Selection Framework for Collaborative Networks in the Logistics Sector

A Reputational-Risk-Based Match Selection Framework for Collaborative Networks in the Logistics Sector

How cooperative advertising interacts with distributional contracts in a dual-channel system

Adoption of Blockchain Technology for Enhanced Traceability of Livestock-Based Products

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