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- Creators: Department of Supply Chain Management
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Description
With an increasing global interest in Chinese economics and society, more and more native English speakers have started to learn Chinese as a second language (L2). While English and Chinese share a similar word order at the syntactic level, they differ significantly in ways to keep track of reference at the discourse level. There are generally three ways to keep track of reference: repeating the full noun phrase (NP), replacing the full NP with a lexical pronoun, or omitting the NP using zero anaphora. Chinese, a topic-prominent language, allows a wide use of zero anaphora to maintain reference; whereas English, a subject-prominent language, allows only a limited use of zero anaphora. Due to this difference, Chinese as a second language learners whose native language is English (CSL learners), must learn to implement the use of zero anaphora more frequently in their Chinese discourse. The purpose of this study is to investigate how CSL learners keep track of reference using zero anaphora. It is hypothesized that CSL learners at intermediate proficiency level would display a transfer effect from English to Chinese in their Chinese discourse. Specifically, they would produce fewer zero anaphora than native Chinese speakers, and they would also tend to consider discourse with many uses of zero anaphora for reference tracking as less appropriate. To test the hypothesis, a story-retelling task and multiple-choice questions task were adopted. The results of both tasks supported the hypothesis. Meanwhile, it is also evident that the CSL learners have acquired some usage of zero anaphora in their Chinese discourse as the usage of zero anaphora was more frequent when speaking Chinese than English.
ContributorsTang, Tianyu (Co-author) / Abdulla, Farzana (Co-author) / Chien, Jasmine (Co-author) / Zhang, Xia (Thesis director) / Bahtchevanova, Mariana (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of International Letters and Cultures (Contributor) / School of Human Evolution and Social Change (Contributor) / Department of Supply Chain Management (Contributor)
Created2015-05
Description
The purpose of this thesis was to design a market entrance strategy for Company X to enter the microcontroller (MCU) market within the Internet of Things (IoT). The five IoT segments are automotive; medical; retail; industrial; and military, aerospace, and government. To reach a final decision, we will research the markets, analyze make versus buy scenarios, and deliver a financial analysis on the chosen strategy. Based on the potential financial benefits and compatibility with Company X's current business model, we recommend that Company X enter the automotive segment through mergers & acquisitions (M&A). After analyzing the supply chain structure of the automotive IoT, we advise Company X to acquire Freescale Semiconductor for $46.98 per share.
ContributorsBradley, Rachel (Co-author) / Fankhauser, Elisa (Co-author) / McCoach, Robert (Co-author) / Zheng, Weilin (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of International Letters and Cultures (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
Description
Derived from the idea that the utilization of sustainable practices could improve small business practice, this honors thesis offers a full business assessment and recommendations for improvements of a local, family-owned coffee shop, Gold Bar. A thorough analysis of the shop's current business practices and research on unnecessary expenses and waste guides this assessment.
ContributorsSorden, Clarissa (Co-author) / Boden, Alexandra (Co-author) / Darnall, Nicole (Thesis director) / Dooley, Kevin (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor) / W. P. Carey School of Business (Contributor) / Department of Management (Contributor) / Department of Supply Chain Management (Contributor)
Created2015-05
Description
ASU's international student population has been growing exponentially in the last few years. Specifically, the fastest growing group has been international students from China. However, many of these students are arriving with inaccurate expectations of life at an American university. Furthermore, prospective students in China that have a desire to attend school in the U.S. are struggling to find a university that is affordable and respected. There is a huge opportunity for ASU to reach this market of students and increase their enrollment of international Chinese students. Our project aimed to create advertisements of ASU that target international Chinese students and their parents. The purpose of our project is to provide inspiration that ASU can utilize to create a professional marketing campaign to target this population of potential students.
ContributorsKagiyama, Kristen (Co-author) / Le, Alethea (Co-author) / Chien, Hsui Fen (Thesis director) / Chau, Angie (Committee member) / W. P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Department of Supply Chain Management (Contributor) / School of International Letters and Cultures (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This project analyzes the tweets from the 2016 US Presidential Candidates' personal Twitter accounts. The goal is to define distinct patterns and differences between candidates and parties use of social media as a platform. The data spans the period of September 2015 to March 2016, which was during the primary races for the Republicans and Democrats. The overall purpose of this project is to contribute to finding new ways of driving value from social media, in particular Twitter.
ContributorsMortimer, Schuyler Kenneth (Author) / Simon, Alan (Thesis director) / Mousavi, Seyedreza (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The objective of this case study is to understand the context for which process improvement is effective and the challenges of implementing change. In 2015, a major apparel retailer pioneered a value stream mapping project that addressed the order writing process between its merchandising team and an external vendor. This case follows the development and execution of the project and the challenge of sustaining the improvements rendered. Thorough analysis supports the recommendation for continued organizational support, a post-event auditing process, and specific metrics to indicate the project's success.
ContributorsMorell, Hannah Christine (Author) / Maltz, Arnold (Thesis director) / Ostrom, Amy (Committee member) / Department of Marketing (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This study aims to find measurable approaches to achieve sustainable closed-loop supply chain. The proposed methodology here was initiated with my experience that was gained through InnovationSpace Program. InnovationSpace Program is a year-long multidisciplinary product-design and development program hosted by Arizona State University that aims to tackle societal problems. Inspired by the Design Thinking framework, I found out that much more effort would need to be done from the beginning stage of product design in order to achieve real and cohesive improvement in industries today. Thinking about the concepts of reverse logistics within supply chain and the planned obsolescence during the product design stage, I would like to come out some more efficient and measurable long-term supply chain planning for the industries, regarding its different production lines and the properties of its products.
Through the process of writing the sustainability report for InnovationSpace program, I had gained deeper understanding about applying sustainability concept into daily business procedures. As supply chain is defined as the oversight over materials, services, information and finances flowed within and among companies and industries, the new innovative supply chain management can be better adjusted according to the concern of any sustainable impact to all the stakeholders and communities. After gathering the information from industries and listening to the suggestions from academic insights, I then finalized the proposed innovative sustainability strategy for the supply chain management nowadays and I called it as Diamond Index.
Diamond Index=Avg(Environmental Stewardship+Social Responsibility +Economic Impact)^(Innovation Index)
Economic Impact (Econ)∈ [0, 10] Social Responsibility (Soc)∈[0, 10]
Environmental Stewardship (Env) ∈ [0, 10] Innovation ∈ [0, 1]
Through the process of writing the sustainability report for InnovationSpace program, I had gained deeper understanding about applying sustainability concept into daily business procedures. As supply chain is defined as the oversight over materials, services, information and finances flowed within and among companies and industries, the new innovative supply chain management can be better adjusted according to the concern of any sustainable impact to all the stakeholders and communities. After gathering the information from industries and listening to the suggestions from academic insights, I then finalized the proposed innovative sustainability strategy for the supply chain management nowadays and I called it as Diamond Index.
Diamond Index=Avg(Environmental Stewardship+Social Responsibility +Economic Impact)^(Innovation Index)
Economic Impact (Econ)∈ [0, 10] Social Responsibility (Soc)∈[0, 10]
Environmental Stewardship (Env) ∈ [0, 10] Innovation ∈ [0, 1]
ContributorsQiang, Rubing (Author) / Boradkar, Prasad (Thesis director) / Peck, Sidnee (Committee member) / Department of Supply Chain Management (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
Description
This report is a summary of a long-term project completed by Ido Gilboa for his Honors Thesis. The purpose of this project is to determine if an arbitrage between different crypto-currency exchanges exists, and if it is possible to acts upon such triangular arbitrage. Bitcoin, the specific crypto-currency this report focuses on, has become a household name, yet most do not understand its origin and patterns. The report will detail the process of collecting data from different sources, manipulating it in order to run the algorithms, explain the meaning behind the algorithms, results and important statistics found, and conclusion of the project. In addition to that, the report will go into detail discussing financial terms such as triangular arbitrage as well as information system concepts such as sockets and server communication. The project was completed with the assistance of Dr. Sunil Wahal and Dr. Daniel Mazzola, professors in the W.P. Carey School of business. This project has been stretched over along period of time, spanning from early 2013 to fall of 2015.
ContributorsGilboa, Ido (Author) / Wahal, Sunil (Thesis director) / Mazzola, Daniel (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
Description
The purpose of this honors thesis is to discover ways for a large humanitarian organization to more cost effectively manage its fleet of vehicles. The first phase of work involved cleaning the large data set provided by the organization. Next, we used the program STATA to run a Seemingly Unrelated Regression (SUR) to see which variables have the largest effect on the percentage of price decline and total mileage of each vehicle. The SUR model indicated that price decline is most influenced by cumulative minor repairs, total accessories, age, percentage of paved roads, and number of accidents. In addition, total mileage was most affected by percentage of paved roads, cumulative minor repairs, all wheel drive, and age. The final step of the project involved providing recommendations to the humanitarian organization based on the above results. We recommend several changes to their fleet management, including: driver training programs, increasing the amount of preventative maintenance performed on vehicles, and increasing the amount of accessories purchased for each vehicle. Implementing these changes could potentially save the organization millions of dollars due to the scope of its operation.
ContributorsPisauro, Jeffrey (Co-author) / Miller, Michael (Co-author) / Eftekhar, Mahyar (Thesis director) / Maltz, Arnold (Committee member) / Fowler, John (Committee member) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
Description
This paper presents work that was done to create a system capable of facial expression recognition (FER) using deep convolutional neural networks (CNNs) and test multiple configurations and methods. CNNs are able to extract powerful information about an image using multiple layers of generic feature detectors. The extracted information can be used to understand the image better through recognizing different features present within the image. Deep CNNs, however, require training sets that can be larger than a million pictures in order to fine tune their feature detectors. For the case of facial expression datasets, none of these large datasets are available. Due to this limited availability of data required to train a new CNN, the idea of using naïve domain adaptation is explored. Instead of creating and using a new CNN trained specifically to extract features related to FER, a previously trained CNN originally trained for another computer vision task is used. Work for this research involved creating a system that can run a CNN, can extract feature vectors from the CNN, and can classify these extracted features. Once this system was built, different aspects of the system were tested and tuned. These aspects include the pre-trained CNN that was used, the layer from which features were extracted, normalization used on input images, and training data for the classifier. Once properly tuned, the created system returned results more accurate than previous attempts on facial expression recognition. Based on these positive results, naïve domain adaptation is shown to successfully leverage advantages of deep CNNs for facial expression recognition.
ContributorsEusebio, Jose Miguel Ang (Author) / Panchanathan, Sethuraman (Thesis director) / McDaniel, Troy (Committee member) / Venkateswara, Hemanth (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05