Decision-Making Framework of Supply Chain Service Innovation Based on Big Data

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.

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A study on decision-making of food supply chain based on big data

Journal of Systems Science and Systems Engineering ◽

10.1007/s11518-016-5320-6 ◽

2017 ◽

Vol 26 (2) ◽

pp. 183-198 ◽

Cited By ~ 11

Author(s):

Guojun Ji ◽

Limei Hu ◽

Kim Hua Tan

Keyword(s):

Decision Making ◽

Big Data ◽

Supply Chain ◽

Food Supply ◽

Food Supply Chain

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A mixed biomass-based energy supply chain for enhancing economic and environmental sustainability benefits: A multi-criteria decision making framework

Applied Energy ◽

10.1016/j.apenergy.2017.09.001 ◽

2017 ◽

Vol 206 ◽

pp. 1088-1101 ◽

Cited By ~ 31

Author(s):

Amin Mirkouei ◽

Karl R. Haapala ◽

John Sessions ◽

Ganti S. Murthy

Keyword(s):

Decision Making ◽

Supply Chain ◽

Environmental Sustainability ◽

Energy Supply ◽

Multi Criteria Decision Making ◽

Mixed Biomass ◽

Decision Making Framework

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

Journal of Global Information Management ◽

10.4018/jgim.291523 ◽

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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