Analysis of decision making and information sharing strategies in a two-echelon supply chain

Author(s):  
Guiping Hu ◽  
Lizhi Wang ◽  
Preetam Kulkarni ◽  
Vahid Azizi
2021 ◽  
Vol 29 (1) ◽  
pp. 88-111
Author(s):  
Zericho Marak ◽  
◽  
Deepa Pillai ◽  

Purpose: The present study aims to identify the critical factors of supply chain finance and the interrelationship between the factors using interpretive structural modeling. Methodology: Factors of supply chain finance were identified from the literature and experts from both industry and academia were consulted to assess the contextual relationships between the factors. Then, we applied interpretive structural modeling to examine the interrelationships between these factors and find out the critical factors. Findings: The model outcome indicates information sharing and workforce to be the most influential factors, followed by the automation of trade and financial attractiveness. Originality/value: Previous literature identified various factors that influence supply chain finance. However, studies showing interrelationships between these factors are lacking. This study is unique in the field as it applies total interpretive structural modeling for assessing the factors that affect supply chain finance. Our model will aid practitioners’ decision-making and the adoption of supply chain finance by providing a necessary framework.


2019 ◽  
Vol 12 (2) ◽  
pp. 241 ◽  
Author(s):  
Jamal Ahmed Al-Doori

Purpose: Indeed due to global advancement, rapid technological innovation, and enhancing regional influence, supply chain (SC) has become an essential element. Now, competition has shifted from organization to industry level; any disruption can not only disturb organization but also affect the whole industry. Although Pakistan is agriculture land still industry sector is supporting more than half population, especially the automotive sector is the highest growing sector. Due to regional and economic shift toward China and India, this sector is facing numerous problems. Only thirteen large-scale automotive organizations are operational by creating collaboration among them many issues can be resolved. Supply chain collaboration has dogged the performance in various industries and in various regions. The aim of this study is to explore the potential benefits of supply chain collaboration toward achieving operational performance.Design/methodology/approach: This is an empirical investigation conducting among supply chain department of automotive industries in Pakistan. Data were collected from 232 members of the supply chain that include suppliers, manufacturers, and distributors. Factor analysis and multiple regressions through SPSS have been used for data analysis.Findings: The finding of this study reveals that two supply chain management approaches information sharing (IS), joint decision making (JDM) significantly effect, while Electronic Data Interchange (EDI) does not have a significant effect on operational performance.Research limitations: This study consists only three approaches, next study should include more approaches. Secondly, this study is limited to the automotive sector.  Practical implications: [This study will help the managers of the automotive industry in making their operation smooth by applying information sharing, joint decision making, and electronic data interchange.Originality/value: First novelty of this study is the implementation of supply chain collaboration for developing country especially for Pakistan. Secondly, this study seed collaboration as communication and include all aspects of communication like formal communication, informal communication. 


10.29007/8hng ◽  
2020 ◽  
Author(s):  
Pardis Pishdad-Bozorgi ◽  
Jong Han Yoon ◽  
Nishant Dass

In the supply chain, information sharing is critical for facilitating decision making, accelerating the schedule, reducing costs, and enhancing the final quality of the project. However, information sharing is challenging in the construction supply chain when information asymmetry could help certain individuals avoid liability or help others maximize their profits by using substandard materials. In this environment, the stakeholders may not truly trust one another and may be reluctant to share complete information. Even though several studies have emphasized the importance of trust for information sharing, few studies have focused on promoting trust and verifying information using technology. The purpose of this paper is to examine the potential of Blockchain technology for establishing a trust-enhanced environment with distributed trust that will benefit the construction supply chain. This paper presents three logical scenarios for the application of Blockchain technology in information-sharing systems in order to demonstrate that the technology helps establish a trust-enhanced environment for reliable information sharing while eliminating counterfeiting and reducing bullwhip effect. These scenarios will demonstrate the value of Blockchain-based information sharing in the construction supply chain and possibly provide direction for future research with greater depth and specificity.


2021 ◽  
Vol 4 (6) ◽  
pp. 1-9
Author(s):  
Honglian Guo ◽  
Xuexue Zhang

This is a study of the coordination model of consumer information sharing in the tourism supply chain with e-commerce platforms as the core. On the basis of considering the risks, a game theory is used to explore the information sharing effort level and the output profit of the tourism supply chain under both, centralized decision-making and decentralized decision-making. Finally, numerical simulation is used to verify the model and put forward a method of coordination for all parties in the tourism supply chain to achieve maximum profit.


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