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.

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 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.

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 A longitudial study of private warehouse investment strategies

2009 ◽  
Vol 21 (2) ◽  
pp. 71-86
Author(s):  
Jonathan W Kohn ◽  
Michael A McGinnis ◽  
John E Spillan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Investment Decision ◽  
Investment Decisions ◽  
Strategic Decision ◽  
Investment Strategies ◽  
Chain Management ◽  
Investment Decision Making ◽  
Inventory Investment

This article revisits private warehouse investment decision making, a topic previously examined in 1989 by McGinnis, Kohn, and Myers (1990). Since then there has been a substantial amount of discussion regarding the scope and nature of logistics /supply chain management. In particular the roles of private, contract, and public warehousing has been discussed, increased emphasis on financial performance and strategic decision making may have altered the criteria for investment decisions in private warehousing, increased coordination of supply chains may have altered the relative importance of private, contract, and private warehousing, and increasing emphasis on controlling inventory investment may have shifted inventory responsibilities onto suppliers and customers. Empirical data was collected in 1999and 2008 regarding warehouse investment decisions in large United State manufacturing firms. This research focused on private warehouse investment decisions, topics that might affect those decisions, and the mix of private, contract, public, and other warehouse options. The results of the 1999 and 2008 data were compared to the earlier findings reported by McGinnis, Kohn, and Myers. Changes in private warehouse investment strategies, the roles of market /product mix uncertainties and availability of for-hire warehouse providers, and changes in warehouse mix were examined. Implications for practitioners, teachers, and researchers of transportation, supply chain management, logistics, and warehousing are discussed.

scholarly journals Environmental Investment Decision of Green Supply Chain considering the Green Uncertainty

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Shaobo Wu ◽  
Xun Yao ◽  
Guangdong Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Stackelberg Game ◽  
Investment Decision ◽  
Threshold Value ◽  
Green Supply Chain ◽  
Game Model ◽  
Investment Decision Making ◽  
Cost Coefficient ◽  
Green Investment

The uncertainty of eco-friendly intermediate components has an important impact on green supply chain decisions. In this paper, the Stackelberg game model of green investment decision-making among enterprises is established by considering the case of the supplier’s green investment alone and the case of the manufacturer and the supplier’s joint green investment. The influence of green uncertainty on enterprise’s decision-making is analyzed, and the green investment decision-making strategies of both sides in two cases are compared. There are four main conclusions derived from the results: (i) with the increase in the supplier’s green cost coefficient, the supplier will reduce the green investment and the manufacturer will reduce the share of the green costs; (ii) with a decrease in uncertainty for eco-friendly intermediate components and the increase in their feasibility factor, the supplier will increase the greenness of intermediate components and increase the investment in environment, and the manufacturer will reduce the share of the green costs; (iii) the increase in the manufacturer’s share of green costs will promote the supplier to increase the greenness of intermediate components and increase its green investment, which shall increase the supplier’s optional choice space of for green investment; (iv) in the case of the manufacturer and the supplier jointly making a green investment, the threshold value for the environmental input of the supply chain members (i.e., the manufacturer and the supplier) is lower, and the supply chain members will have more choice space. At the same time, the care for environment in the case of a cooperative is higher than that in the case of a supplier investing alone.

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