Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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Description
Sustainable supply chain management has become increasingly more important for companies over the last decade. The need to create socially and environmentally sustainable supply chains that are also efficient and profitable is no longer something companies should do, but rather something they must do to stay competitive and successful in

Sustainable supply chain management has become increasingly more important for companies over the last decade. The need to create socially and environmentally sustainable supply chains that are also efficient and profitable is no longer something companies should do, but rather something they must do to stay competitive and successful in the long run. Through the examination of scholarly supply chain literature, case studies, and industry reports with an emphasis on digital technology, supply chain, and sustainability, a conceptual model was created to begin the research in the area of cost savings through the use of digital technologies to enable companies to be more sustainable. This paper works to define the terms sustainability, sustainable supply chain management, and intelligent supply chain designs. It focuses on the positive social and environmental impact of the implementation of leading-edge digital technologies in supply management processes by creating transparency, efficiency, and reliability throughout the supply chain. Through an applied analysis of Mattel, Rana Plaza, Nike, and Coca-Cola and a cost-benefit analysis, it is concluded that companies that implement blockchain technology into their supply management process designs may create more sustainable supply chains while increasing savings and increasing profits. Blockchain may provide the reliability and transparency needed to better manage the supply management process which will evoke better business decisions. Intelligent supply chain designs improve the environmental and social sustainability of a company while maintaining a competitive edge.

Keywords. Supply Chain Management, Social Responsibility, Sustainability, Economics, Supply Management, Blockchain, Intelligent Technology
Paper Type. Conceptual Paper
ContributorsVon Mizener, Noel Maria Yvonne Svetlana (Author) / Carter, Craig (Thesis director) / Forst, Bradley (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
Unintended consequences occur in the supply chain process when managers fail to fully prepare for the social and environmental outcomes of their initiatives. By analyzing these unintended consequences, we are better prepared to make supply chain initiatives that are truly sustainable for all. This paper utilizes a model developed by

Unintended consequences occur in the supply chain process when managers fail to fully prepare for the social and environmental outcomes of their initiatives. By analyzing these unintended consequences, we are better prepared to make supply chain initiatives that are truly sustainable for all. This paper utilizes a model developed by Dr. Carter and Dr. Kaufmann which creates a mutually exclusive and exhaustive framework in order to fully develop the relationship between intended and unintended consequences. Furthermore, paradox theory is implemented in order to refine the differences between intended and unintended outcomes to create a clearer understanding. Over the course of this paper, real world examples will be utilized from company social responsibility reports in order to populate and explain the matrix. Through this work, we show how companies take on a broad range of actions with outcomes varying from positive to negative. We expect that through this paper, we can make this topic more easily understood so that further research and understanding can be achieved.
ContributorsFodor, Daxton (Author) / Carter, Craig (Thesis director) / Alevy, Shea (Committee member) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
In the Fall 2021 semester, the Behavioral Lab (in the Supply Chain Management department) was interested in researching the best warehousing inventory management practices. Poor warehouse management can lead to increased lead times and lower customer satisfaction due to errors during the inventory storage and picking processes. Students enrolled in

In the Fall 2021 semester, the Behavioral Lab (in the Supply Chain Management department) was interested in researching the best warehousing inventory management practices. Poor warehouse management can lead to increased lead times and lower customer satisfaction due to errors during the inventory storage and picking processes. Students enrolled in the Supply Chain Management introductory course participated in a simulation called “Warehouseville” to test best practices. In Warehouseville, students completed a series of timed tasks. Participants were incentivized to perform to the best of their ability through financial compensation based on their performance relative to the participant pool average. After the results were summarized, data analysis was performed to derive best practices that can be applied not only to the partner company, Starbucks but also to other firms/industries. As a lab assistant, I assisted in the Warehouseville simulation by helping Professor Craig Carter with any tasks leading up to, during, and following the data collection sessions that he needed support for.
ContributorsMcCormick, Kyle (Author) / Carter, Craig (Thesis director) / Kull, Thomas (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2022-05