Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach

Govindan, Kannan; Chaudhuri, Atanu

doi:10.1016/j.tre.2015.11.010

Cited by 195 publications

(120 citation statements)

References 104 publications

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“…Meanwhile, this method needs fewer data and is easier to operate. Nowadays, DEMATEL is widely used in supplier selection [44,45], remanufacturing management [2,46,47], human resource management [48,49], facility location selection [50][51][52], risk management [53,54], consumers' behavior analysis [55], financial performance diagnosis of insurance companies [56] and E-learning effectiveness evaluation [57]. The basic steps of this method are as follows:…”

Section: Other Influence Factorsmentioning

confidence: 99%

Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China

Junwei

Luo

2017

Sustainability

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At present, the recycling rate of End-of-life vehicles (ELVs) in China is far lower than the heavily motorized countries, resulting in severe environmental pollution, waste of resource and hidden traffic troubles, which has a negative impact on China's economic and social sustainable development. With the arrival of the peak season of generating ELVs in China, it is urgent and important to improve the recycling rate of ELVs. The recycling rate of ELVs is influenced by multiple factors together. The existing research about the identification of influence factors of ELV recycling rate fewer considers the interaction effect among different factors. To fill the gap, firstly the influence factors are analyzed from standpoints of economy, policy, recycling network and others. Then a hybrid model based on DEMATEL (decision making trial and evaluation laboratory) and intuitionistic fuzzy sets is employed to examine the cause-effect relationships among factors. In the study, the vagueness of decision makers' judgment and linguistic inaccuracy is dealt with effectively by intuitionistic fuzzy sets. The research results reveal "fiscal subsidy", "government's restrictive policies to reuse ELVs parts", "coordination of the industry agencies", "participation of automobile manufacturer" and "supervision of the government" are most significant criteria influencing the recycling rate of ELVs in China. A sensitivity analysis is conducted to verify the robustness of results. Lastly, according to the critical influencing factors identified, some pertinent suggestions to the government, ELV recycling enterprise, owner and vehicle manufacturer are put forward. In addition, the future research directions are proposed.

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Section: Other Influence Factorsmentioning

confidence: 99%

Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China

Junwei

Luo

2017

Sustainability

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“…The DEMATEL method has been successfully applied in many situations, such as marketing strategies, R&D project, e-learning evaluation, managers' competencies, control systems and airline safety problems (Lin and Wu 2008). DEMATEL method could improve understanding of the specific problematic, the cluster of intertwined problems, and contribute to identification of workable solutions by a hierarchical structure (Govindan and Chaudhuri, 2016). Unlike the traditional techniques such as analytic hierarchy process with the assumption that elements are independent, this method, one of the structural modeling techniques, can identify the interdependence among the elements of a system through a causal diagram (Awasthi and Govindan, 2016).…”

Section: Methodsmentioning

confidence: 99%

Innovation Factors in Service Industry and Knowledge Based Economy

Bayarçelik¹,

Taşel

Apak

2016

Pressacademia

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Innovation has become one of the most important driver of today's service industry, which plays a key role in knowledge-based economy. In literature generally researches have been emphasized on innovation determinants on manufacturing industry and less concentration on service innovation factors. So this study aims to find out innovation decision factors in service industry by using DEMATEL method. The method was used to analyze the causal relationships and prioritize the importance of innovation factors in logistics industry by applying questionnaire to logistics professionals. Research findings show that research and development is the most important criteria for logistics industry, which also affects knowledge-based economy.

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“…Many organizations outsource their logistics activities partially or entirely to third party logistics service providers (Govindan and Chaudhuri 2016).…”

Section: Logistics Operationsmentioning

confidence: 99%

Innovative supply chain optimization models with multiple uncertainty factors

Choi

Govindan

et al. 2017

Ann Oper Res

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Uncertainty is an inherent factor that affects all dimensions of supply chain activities. In today's business environment, initiatives to deal with one specific type of uncertainty might not be effective since other types of uncertainty factors and disruptions may be present. These factors relate to supply chain competition and coordination. Thus, to achieve a more efficient and effective supply chain requires the deployment of innovative optimization models and novel methods. This preface provides a concise review of critical research issues regarding innovative supply chain optimization models with multiple uncertainty factors. It also introduces the special issue's research papers and their respective insights.

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Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach

Cited by 195 publications

References 104 publications

Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China

Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China

Innovation Factors in Service Industry and Knowledge Based Economy

Innovative supply chain optimization models with multiple uncertainty factors

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