Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain

Yuan, Xigang; Tang, Fei; Zhang, Dalin; Zhang, Xiaoqing

doi:10.3390/ijerph18073405

Cited by 12 publications

(9 citation statements)

References 44 publications

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“…Enterprise performance is measured using the return on assets and sales growth rate through factor and cluster analysis [5]. For example, some studies have found that adopting a deviated enterprise strategy will positively impact enterprise performance [6]. Moreover, some studies believe that the reason for the uncertainty of enterprise performance is that the enterprise mainly adopts the industry conventional strategy when its strategy is chosen [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Enterprise Accounting Information Identification and Strategic Management under Data Mining Technology

Shao

Lai

Zheng

et al. 2022

Mobile Information Systems

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Present-day enterprise accounting solutions have been developed to a certain extent to provide authenticity of accounting information and to provide modules for billing, pay role, general ledger, and more, but they come with certain problems such as distortion of accounting information, incomplete selection of indicator variables, and the limited and single use of identification methods. Based on this, this study starts with two points. The first is to give the concepts of decision trees and support vector machine (SVM) in data mining. Then, the accounting distortion information identification model is constructed based on this, and the model effect is verified by setting experiments. The second is to establish a regression model on the relationship between enterprise strategy and accounting information quality to further explore the factors that affect the quality of enterprise accounting information. The following are the research results: (1) The accuracy rates of classification and identification of training set data, overall data, and test set data using the SVM-based identification model are 99.19%, 96.21%, and 94.8%, respectively. (2) The average identification rate of the sample data is 88.5% using the identification model based on the decision tree. (3) The regression coefficients of enterprise strategy and accounting information quality are −0.053 and −0.054, respectively without considering the industry and year variables and with considering the industry and year variables, both of which are negative at the 0.1 significance level. The purpose of this study is to use data mining to achieve high-quality identification of enterprise accounting information and provide some references for enterprises to choose or formulate relevant development strategies.

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Section: Literature Reviewmentioning

confidence: 99%

Enterprise Accounting Information Identification and Strategic Management under Data Mining Technology

Shao

Lai

Zheng

et al. 2022

Mobile Information Systems

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“…Wu et al [3] developed closed-loop supply chain models for joint environmental responsibility investment, recycling and pricing decisions, and found recycling strategy of third-party-led collection is disadvantageous. Yuan et al [43] investigated green remanufacturer's mixed collection channel strategy considering enterprise's environmental responsibility and fairness concern, and showed the impact of environmental responsibility on optimal decision.…”

Section: Supply Chain Operations With Corporate Environmental Responsibilitymentioning

confidence: 99%

Pricing and Channel Coordination in Online-to-Offline Supply Chain Considering Corporate Environmental Responsibility and Lateral Inventory Transshipment

et al. 2021

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In this study, we investigate pricing policy and coordination conditions in an online-to-offline supply chain considering corporate environmental responsibility and lateral inventory transshipment. First, we provide demand functions to capture effects of price, corporate environmental responsibility level, and preference degree of the consumer to online channel. Then, we build profit functions and develop three joint pricing and corporate environmental responsibility-level decision models for centralized decision (Scenario CD), retailer Stackelberg game (Scenario RS), and manufacturer Stackelberg game (Scenario MS). Furthermore, we determine the optimal decision policies by solving developed models, and conduct sensitivity analysis of significant factors. Finally, we use a revenue-sharing contract to realize supply chain coordination and find coordination conditions for Scenario RS and MS, and further show the impacts of revenue-sharing rate and investment cost sensitivity on the conditions using numerical studies. We find that optimal joint decision policies can be affected by significant factors to a varying degree. In certain conditions, the revenue-sharing contract can coordinate online-to-offline supply chains considering corporate environmental responsibility and lateral inventory transshipment. Our study proposes a new decision problem, constructs new joint decision models, determines new optimal joint policies, conducts new coordination analysis, and thus contributes to the research on supply chain operations considering corporate environmental responsibility and lateral inventory transshipment.

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“…Yuan et al [8] examined the effect of green activities. e purpose of their study is to analyze the effects of environmental programs on each of the goals (economic and environmental).…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Multiproduct Mathematical Modeling for Green Supply Chain considering Location-Routing Decisions

Abadi

Iraj

Bagheri

et al. 2022

Mathematical Problems in Engineering

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Global warming and environmental pollution are concepts that are more or less encountered in the news and newspapers today. Protecting the environment is crucial to the survival of humanity and the many plant and animal species that inhabit the planet. Lack of control of greenhouse gases can increase the average surface temperature and lead to floods and serious damage in the near future. On the other hand, overproduction of plastics by factories can lead to environmental pollution and the destruction of many food cycles on Earth. In this study, in order to sustainability integrate issues in supply chain network design decisions, a multiobjective optimization model is presented, which is a two-level routing location problem and optimizes economic and environmental goals. The first level is decisions related to the selection of operating facilities from a set of potential facilities (manufacturers and distribution centers), and the second level is related to determining the number of products from distribution centers to retailers and from manufacturers to distribution centers. The objective function is also of the minimization type, which is related to minimizing fixed and variable costs, and minimizing the environmental effects of the whole chain, which includes reducing the costs of greenhouse gas and carbon emissions.

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Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain

Cited by 12 publications

References 44 publications

Enterprise Accounting Information Identification and Strategic Management under Data Mining Technology

Enterprise Accounting Information Identification and Strategic Management under Data Mining Technology

Pricing and Channel Coordination in Online-to-Offline Supply Chain Considering Corporate Environmental Responsibility and Lateral Inventory Transshipment

A Multiobjective Multiproduct Mathematical Modeling for Green Supply Chain considering Location-Routing Decisions

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