Mattel, Lead Paint, and Magnets: Ethics and Supply Chain Management

Gilbert, Joseph; Wisner, Joel D.

doi:10.1080/10508420903482491

Cited by 20 publications

(13 citation statements)

References 11 publications

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“…Due to their neutral and customizable nature, this research offers support to SC endeavoring to become more sustainable. In the following paragraphs the models and study results are used to analyze the Mattel SC (Gilbert & Wisner, 2010;Hoyt, Lee, & Tseng, 2008;C. W. Schmidt, 2008).…”

Section: Application Of Sscm Decision Support Modelsmentioning

confidence: 99%

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Sustainable supply chain management: Decision models for transformation and maturity

Reefke

Sundaram

2018

Decision Support Systems

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Academics and practitioners have realized that supply chains with their many interactions and impacts have to be investigated in order to meet corporate sustainability imperatives. Research has thus far offered only limited theoretical guidance while practical applications often lack a systematic approach. The realization of sustainability goals is impeded by disconnects between supply chain vision, strategy, and execution. This research bridges this gap and offers guidance through the identification and description of influential factors and decision models. An exploratory Delphi study involved supply chain and sustainability experts with the goal to explore and propose factors and decision processes for sustainable supply chain management. This study builds upon the insights offered by seminal models and leverages the Delphi mechanisms of exploration and controlled feedback in order to design, refine, and validate decision models through three consecutive rounds. This Delphi facilitated the identification and assessment of vital relationships and influential factors for sustainable supply chain management. The study culminates in the design and validation of models specifically targeted at the transformation and ongoing maturity development of sustainable supply chains. The combination of research outcomes provides targeted decision support to supply chain managers which is desperately needed in order to drive sustainability development and implementation. The main contributions of the study thus are (1) the design of prescriptive artefacts that describe relationships in SSCM, (2) to offer targeted and evaluated decision support functionalities for sustainable supply chains, and (3) to provide fertile ground for future research enquiries.

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Section: Application Of Sscm Decision Support Modelsmentioning

confidence: 99%

“…Mattel is an American multinational toy manufacturing company which, in its recent past, had to recall millions of toys that contained magnets which could be swallowed by children or could have lead paint (Gilbert & Wisner, 2010). At the heart of this recall was an unsustainable SC.…”

Section: Application Of Sscm Decision Support Modelsmentioning

confidence: 99%

Sustainable supply chain management: Decision models for transformation and maturity

Reefke

Sundaram

2018

Decision Support Systems

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“…For example, the toymaker company Mattel was forced to recall nine million toys back in 2007 due to safety concerns on lead paint contamination from parts made by a specific off-shore supplier (Lee, 2010). The company was caught unprepared on this responsibility issue; to compound matters, the supplier's quality assurance system was not in adherence to Mattel's procedures (Gilbert & Wisner, 2010). This case indicates that companies should look beyond factors such as price and product/service quality when selecting their suppliers and indulge into an ongoing concern of sustainability practices (Carter & Easton, 2011).…”

Section: The Real Issue (S) At Stakementioning

confidence: 99%

Sustainability Dilemmas: Risk and Uncertainty in Supply Chain Management

Agrogiannis¹,

Kinias²

2018

JBTP

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“…Traditional industries continue to have SCR-related challenges in testing of components (Gilbert and Wisner, 2010), software (Bertolino, 2007), communications technologies (Greiler et al, 2009), and in large engineered systems such as space flight systems (Miller et al, 2008) and nuclear reactor materials (Yvon and Carré, 2009). …”

Section: Technology Design and Complexitymentioning

confidence: 99%

An extended framework for supply chain risk management: incorporating the complexities of emerging industries and large-scale systems

Burns

2017

IJMTM

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Over the last two decades, firms, governmental agencies, and non-governmental organisations have sought improved understanding of supply chain management and supply chain risk. Much supply chain risk research has been in large and mature industries such as automotive, aerospace, and energy production. Yet, additional supply chain risk areas are of concern to executives, including emerging industries, emerging supply chains, governmental agencies, quasi-governmental agencies, non-governmental agencies, and large-scale systems engineering projects that cope with complex technical challenges and multi-year development cycles. Through involvement with commercial and governmental research partners, we developed an extended and more generalised framework of supply chain risk that categorises dimensions of SCR and highlights the complexity that must be addressed by organisations. Key findings include that academics must address the complexity that firms face rather than assume simpler risk models, and that firms need additional academic thought leadership for developing improved approaches to manage supply chain risk.

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Mattel, Lead Paint, and Magnets: Ethics and Supply Chain Management

Cited by 20 publications

References 11 publications

Sustainable supply chain management: Decision models for transformation and maturity

Sustainable supply chain management: Decision models for transformation and maturity

Sustainability Dilemmas: Risk and Uncertainty in Supply Chain Management

An extended framework for supply chain risk management: incorporating the complexities of emerging industries and large-scale systems

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