On the interaction between asymmetric demand signal and forecast accuracy information

Wang, Jiao; Liu, Zhibing; Zhao, Ruiqing

doi:10.1016/j.ejor.2019.03.029

Cited by 13 publications

(3 citation statements)

References 48 publications

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“…Big data technology enables sensing data across social and business contexts, increases analysis productivity, 45 helps companies reshape their competitive strategies, and improves innovativeness and market competence 46 . Besides, demand signal management (DSiM) solutions enable fast response to volatile market forces and improve forecast information accuracy 47 . Moreover, they allow merging signals sensed from different sources such as point of sales, operations, and public data to adjust demand data nearly in real‐time.…”

Section: Review Results and Theoretical Backgroundmentioning

confidence: 99%

“…46 Besides, demand signal management (DSiM) solutions enable fast response to volatile market forces and improve forecast information accuracy. 47 Moreover, they allow merging signals sensed from different sources such as point of sales, operations, and public data to adjust demand data nearly in real-time. These solutions seem promising for identifying weak signals with high potential for opportunities and improving strategic agility.…”

Section: Getting a Better Sense Of Innovation Opportunitiesmentioning

confidence: 99%

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Activating supply chain business models' value potentials through Systems Engineering

Nuerk

Dařena

2023

Systems Engineering

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New business opportunities, driven by smart digitalization technology and initiatives such as Industry 4.0, significantly change business models and their innovation rate. The complexity of methodologies developed in recent decades for balancing exploration and exploitation activities of digital transformation has risen. Still, the desired integration levels across organizational levels were often not reached. Systems thinking promises to holistically consider interdisciplinary relationships and objectives of various stakeholders across supply chain ecosystems. Systems theory‐based concepts can simultaneously improve value identification and aligned transformation among supply networks’ organizational and technical domains. Hence, the study proposes synthesizing management science concepts such as strategic alignment with enterprise architecture concepts and artificial intelligence (AI)‐driven business process optimization to increase innovation productivity and master the increasing rate of business dynamics at the same time. Based on a critical review, the study explores concepts for innovation, transformation, and alignment in the context of Industry 4.0. The essence has been compiled into a systems engineering‐driven framework for agile value generation on operational processes and high‐order capability levels. The approach improves visibility for orchestrating sustainable value flows and transformation activities by considering the ambidexterity of exploring and exploiting activities and the viability of supply chain systems and sub‐systems. Finally, the study demonstrates the need to harmonize these concepts into a concise methodology and taxonomy for digital supply chain engineering.

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Section: Review Results and Theoretical Backgroundmentioning

confidence: 99%

Section: Getting a Better Sense Of Innovation Opportunitiesmentioning

confidence: 99%

Activating supply chain business models' value potentials through Systems Engineering

Nuerk

Dařena

2023

Systems Engineering

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“…They also stated that vertical information sharing benefits upstream suppliers and hurts downstream retailers. Subsequently, Jain et al [14], Qian et al [15], and Wang et al [16] built a Stackelberg game to investigate the information sharing equilibrium of downstream enterprises when upstream enterprises exhibit information leakage behavior. Anand and Goyal [17], Kong et al [3], Liu et al [8], and Chen and Ozer [9] explored upstream enterprises' equilibrium information leakage decisions by considering the two retailers from the Stackelberg Cournot competition, who have asymmetric information.…”

Section: Information Leakage In An Scmentioning

confidence: 99%

Optimal Green Operation and Information Leakage Decisions under Government Subsidy and Supply Uncertainty

Shang

2021

Sustainability

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This study investigated optimal green operation and information leakage decisions in a green supply chain system. The system consists of one supplier, one leader retailer 1, one follower retailer 2, and the government. In this system, the government subsidizes each retailer based on the selling price of the product. The supplier is subject to a yield uncertainty process. The suppler decides whether to leak leader retailer 1′s order quantity to follower retailer 2 or not. In this study, we first built a Stackelberg game to address the equilibrium green operation decisions, when the supplier has and has not information leakage behavior, respectively. Subsequently, we identify the supplier’s information leakage equilibrium and how such behavior affects retailers’ ex ante profits, consumer surplus, and social welfare through a numerical study. Interestingly, we obtained the following results: (1) Supplier leaks are the unique equilibrium of the supplier. The product’s green degree and wholesale price at supplier’s equilibrium are higher under information leakage than under no information leakage. (2) The supplier’s information leakage behavior is good for leader retailer 1 and bad for follower retailer 2. (3) Information leakage behavior increases both consumer surplus and social welfare under certain conditions. (4) In general, key system parameters (e.g., the subsidy rate, supply uncertainty, supply correlation, and forecast accuracies) positively correlate with consumer surplus and social welfare in the same direction, while they affect retailer 1′s and retailer 2′s ex ante profit in the opposite direction. These findings provide useful insights for businesses to manage demand forecast information and make decisions on the green level of the product in green supply chain management.

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Simple Contracts to Coordinate the Capacity Procurement Model with Asymmetric Demand Information

Liu

2021

J Syst Sci Complex

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On the interaction between asymmetric demand signal and forecast accuracy information

Cited by 13 publications

References 48 publications

Activating supply chain business models' value potentials through Systems Engineering

Activating supply chain business models' value potentials through Systems Engineering

Optimal Green Operation and Information Leakage Decisions under Government Subsidy and Supply Uncertainty

Simple Contracts to Coordinate the Capacity Procurement Model with Asymmetric Demand Information

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