Supply chain sustainability risk and assessment

Xu, Ming; Cui, Yuanyuan; Hu, Meng Kui; Xu, Xinkai; Zhang, Zhechi; Liang, Sai; Qu, Shen

doi:10.1016/j.jclepro.2019.03.307

Cited by 149 publications

(90 citation statements)

References 47 publications

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“…We also assume θ(2µ − K 1 ) > µ(1 − β) 2 for optimality of the manufacturer's problem; i.e., ∂ 2 π m /∂w 2 < 0. Solving the manufacturer's FOC leads to the equilibrium values in Equation (6). This completes the proof.…”

Section: Proof Of Propositionmentioning

confidence: 59%

“…Over the past few decades, profitability improvement and cost leadership have been the main goals of SCM. However, more recently, the increasing rates of environmental degradation and resource depletion triggered by rapid economic growth have shifted this focus to socio-environmental issues; in the context of supply chain research this has led to greater concern over sustainability, with the concept of supply chain sustainability emerging [3][4][5][6][7]. Consumers' levels of environmental awareness as well as the implementation of various governmental regulations have forced enterprises in supply chains to employ environmental practices such as green SCM and green innovation.…”

Section: Introductionmentioning

confidence: 99%

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Who Drives Green Innovation? A Game Theoretical Analysis of a Closed-Loop Supply Chain under Different Power Structures

Lee

2020

IJERPH

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As awareness of environmental protection increases worldwide, enterprises have been building their supply chains in ways that conserve natural resources and minimize the creation of pollutants. One of the practical ways to make supply chains more sustainable is for enterprises to utilize green innovation strategies and to increase resource reuse. In this work, we focus on a closed-loop supply chain (CLSC) consisting of a manufacturer, a retailer, and a collector. In the investigated CLSC, the manufacturer and the retailer drive the green innovation strategy either individually or simultaneously to boost market demand. In the reverse flow of the CLSC, the collector is responsible for collecting consumers’ used products and transferring them to the manufacturer for remanufacturing. By combining two types of the market leadership and three types of green innovation strategies, we establish six different Stackelberg game models and solve them analytically. Through an extensive comparative analysis, we show who should have market leadership and who should drive the green innovation strategy in the CLSC. Various numerical examples are also given to support our major findings. One of our key findings suggests that the supply chain members must participate in green innovation activities at the same time to achieve a win-win scenario in the CLSC.

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Section: Proof Of Propositionmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Who Drives Green Innovation? A Game Theoretical Analysis of a Closed-Loop Supply Chain under Different Power Structures

Lee

2020

IJERPH

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“…New risks that recently attracted attention are sustainability related risks [8]. They are connected to the triple dimensional view of sustainability where risks involve environmental, social, and economic areas of human life.…”

Section: Bioenergy Supply Chain Social Sustainability Risksmentioning

confidence: 99%

“…Studies show that timely monitoring for social, environmental, and economic factors and issues along supply chains has a direct impact on stakeholders and is a condition for the successful management of supply chain risks. Incorporation of sustainability into risk management practices helps protect organizational image and increase shareholder value [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Social Sustainability Dilemma: Escape or Communicate? Managing Social Risks Upstream of the Bioenergy Supply Chain

2020

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Supply chain risk management has been well researched over the years. However, management of social risks in bioenergy supply chains has been studied less in contemporary research. The ability of bioenergy companies to identify, properly address, and communicate social sustainability has become crucial for many global producers. In order to meet current EU’s energy and climate targets, the development of sustainable bioenergy production is vital. However, over last decade, research of bioenergy production supply chains has indicated that upstream areas of global bioenergy production systems are vulnerable in terms of social sustainability risks. The main objective of this research was to demonstrate how the socially sustainable supply chain practices in bioenergy supply chains can help a production company manage social risks and resources-use related conflicts upstream of the supply chain. These practices can be applied in the process of negotiation between bioenergy producers, local authorities, and communities for creating win-win situations for all parties while planning new bioenergy production systems. This study pays special attention to social sustainability risks at the upstream of the supply chain in countries of raw material origin. Use of social sustainability practices intends to help identify, assess, and address social risks of supply chain activities for bioenergy companies. Moreover, such practices aim at supporting companies and their stakeholders in making right choices and preparing effective strategies ahead of time. We based our research on empirical evidence and offer solutions to multi-national bioenergy production companies on how to manage social risks, allowing them to make the right decisions and necessary adjustments before entering potential markets. Our findings show that even avoidance of market entrance can carry sustainability-related social risks for both the company and the local communities. We suggest that although the financial element plays an important role in decision-making, the no-go decision often means missed opportunities for local communities to improve their respective sustainability states.

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“…Shu et al determined the optimal dynamic selling price in order to balance the interests between the grid system and large industrial users. Moreover, the sustainable development of electricity retailing companies should also include different dimensions such as social, economic, and security . Zhang et al analyzed the factors affecting the sustainable development of China's power industry from the three dimensions of energy‐climate‐environment.…”

Section: Introductionmentioning

confidence: 99%

A credit risk evaluation based on intuitionistic fuzzy set theory for the sustainable development of electricity retailing companies in China

Tan

et al. 2019

Energy Science & Engineering

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As China's power market becomes more orderly, electricity retailing companies are influenced by multiple factors restricting their healthy, stable, and sustainable development. This paper explores these issues through four dimensions, the external basic environment, operating credit risk, financial credit risk, and transaction credit risk, and determines the credit risk evaluation index system, which includes 22 factors relevant to electricity retailing companies. To achieve this, this paper utilizes the characteristics of the intuitionistic fuzzy set theory and, in an uncertain environment, the proposed credit risk assessment model based on the intuitionistic fuzzy analytic hierarchy process (IFAHP). In order to improve the identification degree of the credit risk evaluation of electricity retailing companies, a penalty factor is introduced into the model, and the variable weight mechanism of dynamic adjustment hesitancy is proposed. Finally, we select five electricity retailing companies and use different evaluation methods to conduct a comprehensive credit risk evaluation, so as to improve the credit risk level of electricity retailing companies.

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Supply chain sustainability risk and assessment

Cited by 149 publications

References 47 publications

Who Drives Green Innovation? A Game Theoretical Analysis of a Closed-Loop Supply Chain under Different Power Structures

Who Drives Green Innovation? A Game Theoretical Analysis of a Closed-Loop Supply Chain under Different Power Structures

Social Sustainability Dilemma: Escape or Communicate? Managing Social Risks Upstream of the Bioenergy Supply Chain

A credit risk evaluation based on intuitionistic fuzzy set theory for the sustainable development of electricity retailing companies in China

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