scholarly journals The Incentive Mechanism of Green Supply Chain for Raw Material Procurement

2013 ◽  
Vol 5 (12) ◽  
pp. 3359-3363
Author(s):  
Jian Cao ◽  
Liling Hu ◽  
Hongli Wen
Keyword(s):  
Supply Chain ◽  
Incentive Mechanism ◽  
Raw Material ◽  
Green Supply Chain ◽  
Material Procurement ◽  
The Incentive Mechanism

Green Supply Chain Management Theory and Practices

2018 ◽  
pp. 118-141
Author(s):  
Bülent Sezen ◽  
Sibel Yildiz Çankaya
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Problems ◽  
Raw Material ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Green It ◽  
Chain Management ◽  
Material Procurement ◽  
Product Disposal

Increases in environmental problems require companies to be more aware towards the environment and take precautions regarding the problems. As a result, companies have started to embrace the concept of green supply chain which includes environmental issues rather than the concept of supply chain which is based on profitability. Green supply chain (GSC) has emerged as an important component of the environmental and supply chain strategies. In order to make a supply chain green, it is necessary to consider all activities in the supply chain such as raw material procurement, inbound logistics, transformation, outbound logistics, marketing, after-sales and appropriate product disposal. This paper aims to review different GSCM dimensions in the literature by explaining green supply chain concept and address the activities/practises that can be used to ensure these dimensions are green.

Incentive Mechanism to Promote Supplier's R&D of Green Technology in Supply Chain

2013 ◽  
Vol 804 ◽  
pp. 370-377
Author(s):  
Ding Yue Zhang
Keyword(s):  
Supply Chain ◽  
Design Process ◽  
Production Cost ◽  
Incentive Mechanism ◽  
Green Technology ◽  
Green Supply Chain ◽  
Pareto Improvement ◽  
Incentive Payment ◽  
The Face ◽  
The Incentive Mechanism

For a two-echelon supply chain consisted of one manufacturer and one supplier, the incentive mechanism is designed for the supplier to reduce the production cost of green intermediate products by the manufacturer. It is proposed under the situation of asymmetric information on the endeavor level of supplier to promote the initiative of suppliers technology R&D. The design process of the incentive mechanism in the face of moral hazard problems is discussed by the manufacturer. It indicates that the manufacturer can adopt linear incentive payment according to different periods of producing and marketing. The results manifest that the proposed incentive mechanism will promote the supplier's efforts on R&D as far as possible and make the profits of the members Pareto improvement distinctly. The paper affords great guidance on operating decisions for the green supply chain at initial stages of the green market.

Green Supply Chain Management Theory and Practices

2017 ◽  
pp. 92-114 ◽  
Author(s):  
Bülent Sezen ◽  
Sibel Yildiz Çankaya
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Problems ◽  
Raw Material ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Green It ◽  
Chain Management ◽  
Material Procurement ◽  
Product Disposal

Increases in environmental problems require companies to be more aware towards the environment and take precautions regarding the problems. As a result, companies have started to embrace the concept of green supply chain which includes environmental issues rather than the concept of supply chain which is based on profitability. Green supply chain (GSC) has emerged as an important component of the environmental and supply chain strategies. In order to make a supply chain green, it is necessary to consider all activities in the supply chain such as raw material procurement, inbound logistics, transformation, outbound logistics, marketing, after-sales and appropriate product disposal. This paper aims to review different GSCM dimensions in the literature by explaining green supply chain concept and address the activities/practises that can be used to ensure these dimensions are green.

The Influencing Factors Analysis of Implementing Green Supply Chain Based on the Investigation Data in Shandong Province of China

2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Energy Consumption ◽  
Product Design ◽  
Influencing Factors ◽  
Shandong Province ◽  
Raw Material ◽  
Green Supply Chain ◽  
Manufacturing Enterprises ◽  
Factors Analysis

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.

Study on Incentive Mechanism of MRCTM Closed-Loop Supply Chain Based on the Uncertainty Quality

2010 ◽  
Vol 108-111 ◽  
pp. 341-346
Author(s):  
Huang Ling
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Conversion Factor ◽  
Incentive Mechanism ◽  
Incentive Payment ◽  
Closed Loop Supply Chain ◽  
Optimal Analysis ◽  
The Incentive Mechanism ◽  
Product Recycling

In this paper, the MRCTM model of closed-loop supply chain was investigated. An effective incentive mechanism that considered the uncertainty quality of product recycling was designed by the introduction of brand conversion factor. The author made an optimal analysis of the incentive mechanism. Moreover, the influence of different parameters, such as quality and brand to the fixed reward and the unit incentive payment was analyzed and some useful results were obtained.

scholarly journals Analysis of Revenue Incentive Dynamic Mechanism of Financial Supply Chain from the Perspective of the Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yue Yin
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Influencing Factors ◽  
Incentive Mechanism ◽  
Influencing Factor ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
The Incentive Mechanism ◽  
Relationship Factors ◽  
The Internet Of Things

With the rapid development of society, all walks of life need the support of the Internet of Things, and the financial industry is no exception. This article integrates blockchain technology with supply chain finance and builds a supply chain financial alliance architecture based on blockchain technology and an underlying model of the Ethereum blockchain system suitable for supply chain finance. We innovated new supply chain finance models and operating mechanisms and proposed business scenarios for supply chain finance from the perspective of blockchain. Taking into account the actual operation of the blockchain supply chain financial platform, the principal-agent model and the incentive theory are applied, and the supply chain financial accounts receivable model is taken as an example in the case of complete information and incomplete information. The incentive mechanism between the service provider of the chain supply chain financial platform and the core enterprise promotes the better implementation of blockchain technology and supply chain finance. Based on the existing theoretical research, this paper identifies the key influencing factors of the supply chain’s cross-enterprise incentive mechanism. These influencing factors system includes two dimensions: transaction factors and relationship factors. Transaction factors include resource dependence, uncertainty, and cooperation experience; relationship factors include corporate reputation, trust level, and relationship commitment. Based on the nature of the incentive mechanism, information sharing and revenue sharing are extracted as the measurement dimensions of the supply chain’s cross-enterprise incentive mechanism. On this basis, this article draws on the existing enterprise life cycle division method and constructs a hypothetical model of the influencing factors of the incentive mechanism in the incubation period, the growth period, and the maturity period. Relevant data was collected through questionnaires, and SPSS and AMOS software were used to perform statistical analysis, reliability analysis, exploratory factor analysis, confirmatory factor analysis, and structural equation hypothesis testing on the data. The performance of each influencing factor in different stages of the enterprise’s life cycle and the importance of each influencing factor in the same life cycle stage are obtained.

Analysis of the Barriers to Green Supply Chain Management Implementation

2020 ◽  
pp. 202-218
Author(s):  
Merve Eser ◽  
Gülay İrak
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Raw Material ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Survey Method ◽  
Economic Downturn ◽  
International Crisis ◽  
Chain Management ◽  
High Investment

The statistical analysis of the data obtained by the survey method was performed with SPSS 22.0 program. According to the findings of the research, the most important barriers in the implementation of green supply chain management are green projects with high investment costs in construction, changing facilities and equipment, as well as the international crisis and economic downturn. These barriers are raw material costs are higher in green applications, green projects having high operating costs, and high prices in green applications unable to compete with lower prices of competitors, respectively. Another finding of the study is that there is no significant difference between the implementation status of the green projects and the duration of the export activity on the barriers encountered in the implementation of GSCM.

Multifaceted Applications of Green Supply Chain Management

2016 ◽  
pp. 327-354 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Organizational Performance ◽  
Global Supply Chain ◽  
Environmental Benefits ◽  
Raw Material ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Sustainable Competitive Advantage ◽  
Chain Management

This chapter aims to explain the overview of Green Supply Chain Management (GSCM); the significant activities of GSCM; GSCM and collaboration; GSCM and environmental management; GSCM in small and medium-sized enterprises (SMEs); and the multifaceted applications of GSCM. Green supply chain is capable of increasing corporate value while considering its impacts on all processes of physical distribution, production, and environment. Managing a green supply chain is about finding the balance between economic and environmental benefits in global supply chain. GSCM recognizes the disproportionate environmental impact of supply chain processes in an organization. GSCM practices can manifest themselves from the process of selecting raw material to final consumption based on the aspects of reduction, reuse, recycling, and recovery. The chapter argues that the multifaceted applications of GSCM have the potential to enhance organizational performance and gain sustainable competitive advantage in global supply chain.

A Game-Based Approach for Simulation and Design of Supply Chains

2020 ◽  
pp. 527-549
Author(s):  
Kamalendu Pal ◽  
Bill Karakostas
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Computer Game ◽  
Raw Material ◽  
Case Based Reasoning ◽  
Simulation Games ◽  
Current Case ◽  
Knowledge Based ◽  
Material Procurement ◽  
Game Simulation

This chapter reviews the potential benefits and challenges of knowledge-based computer game simulation as means of understanding the dynamics of global procurement and manufacturing supply chains. In particular the chapter focuses on the use of software agents to assist decision making across the supply chain, for example in raw material procurement. The chapter describes a framework for supply chain scenarios in multi-agent based simulation games. The agents' behaviour is governed by business rules, based on the concept of normative knowledge representation and its reasoning mechanism (known as rule-based reasoning, RBR) and that also come closer to the task that confronts the supply chain operational manager – the analysis of current case in hand in terms of previously decided business problem solutions, known as case-based reasoning (CBR). The aim is to introduce more realistic behavior of the supply chain actors and improve understanding in operational management of supply chains.

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