scholarly journals Investment Decision-Making and Coordination of Supply Chain: A New Research in the Big Data Era

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Pan Liu ◽  
Shu-ping Yi
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Investment Decision ◽  
Supply Chain Coordination ◽  
Chain Model ◽  
Market Demand ◽  
Investment Decision Making ◽  
Decentralized Decision Making ◽  
Data Environment

In a Big Data environment, in order to study the decision-making problem of Big Data information investment and the effects of using Big Data information to improve industry cost on supply chain coordination, firstly the importance of Data Company in supply chain was analyzed, and the original supply chain model was built. Meanwhile, some changes of consumer behavior were analyzed in a Big Data environment. Based on these, the market demand function and the benefit model of stakeholder were built and analyzed. Findings:(1)The first finding is whether an enterprise was suitable for gaining Big Data to improve its costs, which was determined by the cost improvement coefficient; namely, it was related to the ability of excavating and using the value of Big Data.(2)Whether the supply chain was the decentralized decision-making and the centralized decision-making, the thresholds of acquisition costs on Big Data information were equal. Moreover, the maximum value that they could undertake was same.(3)Meanwhile the fact that the quantity discount contract could achieve a win-win outcome for supply chain members was proved. The discount coefficient was related to consumers’ behavior preference in a Big Data environment.

scholarly journals Decision-Making and Coordination of a Three-Stage Book Supply Chain considering Big Data Information Cost

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Pan Liu
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Investment Decision ◽  
Supply Chain Coordination ◽  
Book Publisher ◽  
Investment Decision Making ◽  
Pricing Rules ◽  
The Cost ◽  
Investment Models

In the Big Data era, Big Data Information (BDI) has been used in the book supply industry. Data Company as an important BDI supplier should be included in a book supply chain. Thus, to explore the investment decision-making problems of BDI and its effects on the coordination and pricing rules of book supply chain, a three-stage book supply chain with one book publisher, one retailer, and one Data Company was chosen. Meanwhile, four benefit models about BDI investment were proposed and analyzed in the environments of symmetry information and asymmetric information. A revenue sharing contract was used to achieve book supply chain coordination. Findings: whether the book publisher and the retailer were suitable to invest in BDI, it was influenced by the cost improvement coefficient. With the ascent of the cost improvement coefficient, benefits of supply chain members will reduce, and, in different investment models, their prices show different change trends with the cost improvement coefficient.

scholarly journals To Be or Not to Be? Big Data Business Investment Decision-Making in the Supply Chain

2019 ◽  
Vol 11 (8) ◽  
pp. 2298 ◽  
Author(s):  
Lei Xu ◽  
Runpeng Gao ◽  
Yu Xie ◽  
Peng Du
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Cost Allocation ◽  
Investment Decision ◽  
Research Question ◽  
Supply Chain Coordination ◽  
Competitive Edge ◽  
Investment Decision Making ◽  
Investment Portfolios

The development of Big Data technology initiates an emerging research question of whether and how to invest in Big Data business for supply chain members to establish sustainable competitive edge. The aim of our study was to assess investment in Big Data business and its sustainable effects on supply chain coordination. We considered a two-stage supply chain with one supplier and one retailer who may or may not invest in Big Data business. Five decision-making modes were proposed based on the investment portfolios. The impacts of Big Data business on the profit of the supply chain and its members were analyzed and it was confirmed that a coordination scheme could achieve supply chain coordination. The results indicated that when the Big Data cost met a certain threshold, the profit of the supply chain and its members would increase whether supply chain members choose to invest in Big Data business individually or jointly. A reasonable cost allocation of Big Data business between supply chain members was provided when both members invest in Big Data. In addition, after the members invested jointly, a revenue-sharing contract could be applied to perfectly coordinate the supply chain.

The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility

2019 ◽  
Vol 32 (2) ◽  
pp. 297-318 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Investment Decision ◽  
Big Data Analytics ◽  
Content Type ◽  
Investment Decision Making ◽  
Management Capabilities ◽  
The Impact

Purpose The importance of big data analytics (BDA) on the development of supply chain (SC) resilience is not clearly understood. To address this, the purpose of this paper is to explore the impact of BDA management capabilities, namely, BDA planning, BDA investment decision making, BDA coordination and BDA control on SC resilience dimensions, namely, SC preparedness, SC alertness and SC agility. Design/methodology/approach The study relied on perceptual measures to test the proposed associations. Using extant measures, the scales for all the constructs were contextualized based on expert feedback. Using online survey, 249 complete responses were collected and were analyzed using partial least squares in SmartPLS 2.0.M3. The study targeted professionals with sufficient experience in analytics in different industry sectors for survey participation. Findings Results indicate BDA planning, BDA coordination and BDA control are critical enablers of SC preparedness, SC alertness and SC agility. BDA investment decision making did not have any prominent influence on any of the SC resilience dimensions. Originality/value The study is important as it addresses the contribution of BDA capabilities on the development of SC resilience, an important gap in the extant literature.

scholarly journals Analysis of Customization Strategy for E-Commerce Operation Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Su Chen
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Price Competition ◽  
Price Impact ◽  
Game Equilibrium ◽  
Decentralized Decision Making ◽  
Impact Coefficient ◽  
Data Environment ◽  
The Cost

In order to improve the efficiency of customization and reduce the cost of customization under Big data environment, this paper uses cost-sharing contract, pricing mechanism, Hotelling model, and game theory tools and research methods, for C2B Electronic Commerce (e-commerce) mode of Supply Chain Pricing Strategy for in-depth discussion. This paper first gives the architecture of the customization service system based on big data. The paper studies the game equilibrium of supply chain members under four scenarios: centralized decision-making, decentralized decision-making, C2B-dominated decision-making, and traditional enterprise-dominated decision-making in a supply chain composed of a supplier and C2B e-commerce enterprises with horizontal price competition, and examines the cross-price. Important parameters such as impact coefficient, impact coefficient of effort degree of personalized customization, and so on have an impact on variables such as effort degree of personalized customization, retail price, and profit of supply chain members of C2B e-commerce enterprises. Research shows that with the increase of cross-price impact coefficient, C2B e-commerce will enhance its personalized customization efforts in different situations in order to pursue higher profits.

scholarly journals The More Supply Chain Control Power, the Better? A Comparison among Four Kinds of Cooperation Models

2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Weihua Liu ◽  
Shuqing Wang ◽  
Donglei Zhu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Coordination ◽  
Wholesale Price ◽  
The Other ◽  
Order Quantity ◽  
Control Power ◽  
Decentralized Decision Making ◽  
Optimal Value ◽  
Total Profit

This paper introduces the parameter of supply chain control power into existing supply chain coordination models and explores the impacts of control power on the profits of manufacturer, retailer, and the overall supply chain under four modes of decision-making, including the decentralized decision-making dominated by manufacturer, the decentralized decision-making dominated by retailer, centralized decision-making, and Nash negotiation decision-making. Some significant conclusions are obtained. Firstly, supply chain control power does have great impact on the supply chain profits. The profit of the whole supply chain with centralized decision-making is higher than those of the other three modes, while the overall profit of supply chain with decentralized decision-making is superior to the profit when retailer and manufacturer dominate the supply chain together. Secondly, with decentralized decision-making, for manufacturer and retailer, it is beneficial to gain the control powers of the supply chain; however, control power has an optimal value, not the bigger, the better. Thirdly, under certain circumstances, order quantity will increase and the wholesale price will decrease when control power is transferred from manufacturer to retailer. In this case, the total profit of supply chain dominated by retailer will be greater than that dominated by manufacturer.

scholarly journals Research on Dual Channel Supply Chain Decision-making of New Retailing Enterprises Considering Service Behavior in the era of Big Data

2022 ◽  
Vol 30 (9) ◽  
pp. 0-0
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Service Level ◽  
Sustainable Competitive Advantage ◽  
Dual Channel ◽  
Decentralized Decision Making ◽  
Starting Point ◽  
Dual Channel Supply Chain ◽  
Channel Service

Drawing from extant retailing and supply chain research, this paper studies the dual channel supply chain decision-making of member channel, and obtains the optimal price strategy, maximum demand and maximum total revenue of the supply chain of network channel and retailing channel under the centralized decision-making and decentralized decision-making respectively. The contributions of this study identify that investing in big data within a certain threshold can improve the channel service level, reduce the channel price and improve the income of the supply chain. Supply chain members improve the channel service level and increase the corresponding channel price. The supply chain can get the most advantages when manufacturers and retailers make centralized decisions. This paper provides a starting point for new retailing academic and practical research in a domain that is deficient in empirical research, provides the theoretical framework to new retailing enterprises and decision-making model for their sustainable competitive advantage.

scholarly journals Emergency Strategies of Closed-Loop Supply Chain with Single Retailer Recycling under Demand Disruptions

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Jian Cao ◽  
Yuting Yan ◽  
Lingyuan Wang ◽  
Xihui Chen ◽  
Xuemei Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Closed Loop ◽  
Wholesale Price ◽  
Normal Operation ◽  
Market Demand ◽  
Closed Loop Supply Chain ◽  
Decentralized Decision Making ◽  
Retail Prices ◽  
Emergency Decision

The uncertainty caused by emergencies will influence the normal operation of the supply chain. Considering demand disruptions, a closed-loop supply chain consisting of one manufacturer and two competing retailers based on decentralized decision-making is considered. In the supply chain, one retailer recovers end-of-life products while the other does not. Analytic results show that, when the disturbance of demand occurs, the manufacturer and retailers adjust the wholesale price and retail prices of products according to the direction of the market demand disruptions. Under demand disruptions, the retailer who participates in recovering can gain more profits, especially in the case of the positive disruption. Theoretic and pragmatic references for the emergency decision-making of closed-loop supply chain enterprises are provided.

scholarly journals Research on Dual Channel Supply Chain Decision-making of New Retailing Enterprises Considering Service Behavior in the era of Big Data

2022 ◽  
Vol 30 (9) ◽  
pp. 0-0
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Service Level ◽  
Sustainable Competitive Advantage ◽  
Dual Channel ◽  
Decentralized Decision Making ◽  
Starting Point ◽  
Dual Channel Supply Chain ◽  
Channel Service

Drawing from extant retailing and supply chain research, this paper studies the dual channel supply chain decision-making of member channel, and obtains the optimal price strategy, maximum demand and maximum total revenue of the supply chain of network channel and retailing channel under the centralized decision-making and decentralized decision-making respectively. The contributions of this study identify that investing in big data within a certain threshold can improve the channel service level, reduce the channel price and improve the income of the supply chain. Supply chain members improve the channel service level and increase the corresponding channel price. The supply chain can get the most advantages when manufacturers and retailers make centralized decisions. This paper provides a starting point for new retailing academic and practical research in a domain that is deficient in empirical research, provides the theoretical framework to new retailing enterprises and decision-making model for their sustainable competitive advantage.

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