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Ila Manuj

Researcher at University of North Texas

Publications -  23
Citations -  2588

Ila Manuj is an academic researcher from University of North Texas. The author has contributed to research in topics: Supply chain management & Supply chain. The author has an hindex of 11, co-authored 19 publications receiving 2238 citations.

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Global supply chain risk management strategies

TL;DR: In this article, the authors explore the phenomenon of risk management and risk management strategies in global supply chains based on an extensive literature review and a qualitative study comprising 14 in-depth interviews and a focus group meeting with senior supply chain executives.
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Global supply chain risk management

TL;DR: In this paper, a comprehensive global supply chain risk management and mitigation model, concepts, frameworks, and insights of several disciplines, primarily international business management, strategy, operations management, supply chain management, and logistics, are proposed.
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A model of supply chain and supply chain decision‐making complexity

TL;DR: In this article, the authors developed a comprehensive model of supply chain and decision-making complexity that provides an understanding of the drivers of supply-chain complexity and strategies to manage supply chain complexity and outcomes.
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Co‐creating logistics value: a service‐dominant logic perspective

TL;DR: In this article, a cross-disciplinary literature review including supply chain management, logistics, marketing, and strategy is conducted to integrate existing knowledge on value of service and antecedents and consequences of value creation in a process framework for co-creation of value in a logistics context.
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Improving the rigor of discrete‐event simulation in logistics and supply chain research

TL;DR: There are no preset rigor criteria for publication of logistics and supply chain simulation research, which is reflected in the fact that studies published in leading journals do not satisfactorily address and/or report the efforts taken to maintain the rigor of simulation studies.