Sustainability, Risk, and Business Intelligence in Supply Chains

Kara, Merve Er; Fırat, Seniye Ümit Oktay

doi:10.4018/978-1-5225-0440-5.ch022

Cited by 6 publications

(4 citation statements)

References 52 publications

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“…There are various alternative SCRM strategies and techniques (Er Kara & Oktay Fırat, 2016;Ghadge, Dani, Ojha, & Caldwell, 2017). Alternative supply chain strategies should be evaluated by domain experts by considering associated costs and benefits.…”

Section: Interpreting Results Of the Dm Modulementioning

confidence: 99%

A Data Mining-Based Framework for Supply Chain Risk Management

Er¹,

Firat²,

Ghadge

2019

SSRN Journal

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Increased risk exposure levels, technological developments and the growing information overload in supply chain networks drive organizations to embrace data-driven approaches in Supply Chain Risk Management (SCRM). Data Mining (DM) employs multiple analytical techniques for intelligent and timely decision making; however, its potential is not entirely explored for SCRM.The paper aims to develop a DM-based framework for the identification, assessment and mitigation of different type of risks in supply chains. A holistic approach integrates DM and risk management activities in a unique framework for effective risk management. The framework is validated with a case study based on a series of semi-structured interviews, discussions and a focus group study.The study showcases how DM supports in discovering hidden and useful information from unstructured risk data for making intelligent risk management decisions.

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Section: Interpreting Results Of the Dm Modulementioning

confidence: 99%

A Data Mining-Based Framework for Supply Chain Risk Management

Er¹,

Firat²,

Ghadge

2019

SSRN Journal

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“…[17,21] Performance history [17,36,56] Information disclosure [34] Companies started to consider supplier related risks and threats in their purchasing decisions in order to survive in today's highly complex, dynamic and risky business environment [1,15,58]. Some past disruptive events have shown that even a small risk event in a sub-tier supplier may cause serious consequences for the entire SC [59]. Therefore, supplier risk measures have to be defined and incorporated into the supplier selection process to cope with supplier related uncertainties and threats [30,33,58].…”

Section: Supply Risk Issue In Supplier Evaluation and Selectionmentioning

confidence: 99%

“…, w * n by using the evaluations of the decision makers. The optimal weights for the risk criteria satisfy the following conditions: (i) w B /w j = a Bj , and (ii) w j /w W = a jW [59]. Therefore, we need to minimize the maximum absolute differences w B w j − a Bj and w j w W − a jW for all j.…”

Section: Problem Definition and Solution Approachmentioning

confidence: 99%

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Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study

Kara¹,

Fırat²

2018

Sustainability

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Supplier evaluation and selection is one of the most critical strategic decisions for developing a competitive and sustainable organization. Companies have to consider supplier related risks and threats in their purchasing decisions. In today's competitive and risky business environment, it is very important to work with reliable suppliers. This study proposes a clustering based approach to group suppliers based on their risk profile. Suppliers of a company in the heavy-machinery sector are assessed based on 17 qualitative and quantitative risk types. The weights of the criteria are determined by using the Best-Worst method. Four factors are extracted by applying Factor Analysis to the supplier risk data. Then k-means clustering algorithm is applied to group core suppliers of the company based on the four risk factors. Three clusters are created with different risk exposure levels. The interpretation of the results provides insights for risk management actions and supplier development programs to mitigate supplier risk.

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Sustainability, Environmental Sustainability, and Sustainable Tourism

Kasemsap

2017

Business Infrastructure for Sustainability in Developing Economies

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This chapter reveals the overview of sustainability; the overview of environmental sustainability; environmental sustainability and climate change; environmental sustainability, water resources, and energy consumption; and the overview of sustainable tourism. Sustainability is the important issue that attempts to bridge social science with civic engineering and environmental science with the technology of the future. Environmental sustainability is important because it ensures people have water and resources, and adopting its practices protects the environment and human health. Sustainable tourism is a growing segment of the global tourism industry that makes the positive contributions to the environmental, socio-cultural, and economic well-being of destinations and local communities around the world. Sustainability, environmental sustainability, and sustainable tourism are rooted in three issues that are considerably linked to fossil fuel depletion, climate change due to carbon dioxide emissions, and the increasing costs of energy and water.

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Sustainability, Risk, and Business Intelligence in Supply Chains

Cited by 6 publications

References 52 publications

A Data Mining-Based Framework for Supply Chain Risk Management

A Data Mining-Based Framework for Supply Chain Risk Management

Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study

Sustainability, Environmental Sustainability, and Sustainable Tourism

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