Matching Items (20)
Description
Millennials are the group of people that make up the newer generation of the world's population and they are constantly surrounded by technology, as well as known for having different values than the previous generations. Marketers have to adapt to newer ways to appeal to millennials and secure their loyalty since millennials are always on the lookout for the next best thing and will "trade up for brands that matter, but trade down when brand value is weak", it poses a challenge for the marketing departments of companies (Fromm, J. & Parks, J.). The airline industry is one of the fastest growing sectors as "the total number of people flying on U.S. airlines will increase from 745.5 million in 2014 and grow to 1.15 billion in 2034," which shows that airlines have a wider population to market to, and will need to improve their marketing strategies to differentiate from competitors (Power). The financial sector also has a difficult time reaching out to millennials because "millennials are hesitant to take financial risks," as well as downing in college debt, while not making as much money as previous generations (Fromm, J. & Parks, J.). By looking into the marketing strategies, specifically using social media platforms, of the two industries, an understanding can be gathered of what millennials are attracted to. Along with looking at the marketing strategies of financial and airline industries, I looked at the perspectives of these industries in different countries, which is important to look at because then we can see if the values of millennials vary across different cultures. Countries chosen for research to further examine their cultural differences in terms of marketing practices are the United States and England. The main form of marketing that was used for this research were social media accounts of the companies, and seeing how they used the social networking platforms to reach and engage with their consumers, especially with those of the millennial generation. The companies chosen for further research for the airline industry from England were British Airways, EasyJet, and Virgin Atlantic, while for the U.S. Delta Airlines, Inc., Southwest Airlines, and United were chosen. The companies chosen to further examine within the finance industry from England include Barclay's, HSBC, and Lloyd's Bank, while for the U.S. the banks selected were Bank of America, JPMorgan Chase, and Wells Fargo. The companies for this study were chosen because they are among the top five in their industry, as well as all companies that I have had previous interactions with. It was meant to see what the companies at the top of the industry were doing that set them apart from their competitors in terms of social media marketing content and see if there were features they lacked that could be changed or improvements they could make. A survey was also conducted to get a better idea of the attitudes and behaviors of millennials when it comes to the airline and finance industries, as well as towards social media marketing practices.
ContributorsPathak, Krisha Hemanshu (Author) / Kumar, Ajith (Thesis director) / Arora, Hina (Committee member) / W. P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Hugh Downs School of Human Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The purpose of this thesis research project is to explore blockchain technology and its present and future applications within supply chain management. Emerging blockchain technologies, both public and private, are already showing great promise for a number of applications in and outside supply chain management. Our sole focus is to understand the fundamentals of blockchain, smart contracts, current applications in supply chain, and the future possibilities for blockchain to shape global supply chains. Many have theorized about how private blockchains can be implemented and used; however, there is little research to date that has collected and explored the actual use cases in industry today. The mission of this research paper is to separate theory from the current state of the technology and provide a clearer understanding of where the technology is headed in the near future. We aim to produce a work that will provide a comprehensive description and commentary on current use cases for the education of students and industry professionals alike. With any new technological developments, terminology and technicalities can be paralyzing, and this is particularly true for blockchain technology. For this project, our goal was to create a document that cuts through the complexities and allows a non-technical audience to gain a strong foundational understanding of blockchain's potential and current limitations within supply chains. Provided this, some highly technical concepts and implementation details will not be explored due to the complexity and minimal understanding even amongst industry experts. As future supply chain professionals, we are motivated to further our understanding of blockchain technologies and the potential for this technology to shape the future of supply chain management.
ContributorsBecker, Logan (Co-author) / Falco, Alexander (Co-author) / Murphy, Thomas Brian (Co-author) / Taylor, Todd (Thesis director) / Wiedmer, Robert (Committee member) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
P.F. Chang's China Bistro is a privately-held purveyor of Asian fare in the United States and internationally, known largely for its vibrant atmosphere and lettuce wraps. With hundreds of locations and dozens of menu items, procurement, logistics, and coordination of ingredient delivery to P.F. Chang's restaurants is no small task. Despite their difficulty, supply chain operations from suppliers to customers' plates must run efficiently if P.F. Chang's is to maintain customer loyalty, a trusted brand, and profitability. As such, supply chain initiatives that allow for faster, better, or lower-cost operation are valuable investments for P.F. Chang's. In this project, two initiatives focused on increasing visibility along the value chain (with the hope of creating immediate value and easier implementation for future strategies). The first initiative involved stakeholder interviews and academic research to determine evaluation methods for P.F. Chang's suppliers in the form of a scorecard. The second project required extensive data collection from suppliers to isolate and remove excess cost in the inbound logistics of P.F. Chang's inventory. Both initiatives led to incremental improvement at P.F. Changs and the latter provided substantial cost savings. Further investigation and work is likely to yield continued benefits for the company. The increased use of data in all supply chains to guide decision-making will be easier for P.F. Chang's as it manages ongoing visibility efforts. Although process explanation and general outcomes will be reported here, the proprietary nature of P.F. Chang's data precludes full disclosure of the project results in public documentation.
ContributorsBarger, Michael Richard (Author) / Taylor, Todd (Thesis director) / Miller, Steve (Committee member) / Department of Economics (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The purpose of this thesis is to gain a more nuanced understanding of what research is currently going on in the academic realm of supply chain management. This thesis is composed of two parts. The first part contains summaries and personal takeaways from four different supply chain management seminars that were put on by professors who were visiting the ASU campus. These seminars include general topics such as RFID readability, supply chain cash conversion cycles, risk management within the healthcare supply chain, and building trust and trustworthiness in global business. The second part of the thesis will then use a literature review to expand upon the topic of risk management within the healthcare supply chain, and to explore how previous research ties into the current happenings of the industry, as well as its future implications.
ContributorsHemzacek, Noah (Author) / Printezis, Antonios (Thesis director) / Choi, Thomas (Committee member) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Amazon Prime Air is the innovative new service that promises automated drone delivery in thirty minutes or less. The platform has not yet been brought to market, but there is a plethora compelling data available that suggests it will be a unique and highly disruptive business segment for Amazon. The aim of this thesis is to analyze the framework laid out by Amazon.com, Inc. for their anticipated Prime Air drone delivery platform, and offer our recommendations for what steps the e-commerce giant should take moving forward. Following a brief recap of the company's founding and a breakdown of its various business segments, we will begin our analysis by examining past strategic decisions that Amazon has made which have directly contributed to their current market position. It is our goal to construct a narrative of what events lead the company to begin developing a fleet of automated delivery vehicles. Following this history lesson, we will review and criticize the existing elements of Amazon's Prime Air platform, and explore any possible alternatives that they could have taken to optimize the development of this exciting new technology. Criticisms will touch upon elements such as cost efficiencies, brand management, and utilization of infrastructure to name but a few. These criticisms will be based upon data sourced from Amazon's available material as well as comments from market analysts and journalists. The culminating element of our analysis will be to offer our professional recommendations as to what we believe the next logical steps that Amazon should take for their Prime Air platform. These recommendations will be informed by our criticisms and our understanding of Amazon as a corporation. This chapter will be largely concerned with guiding Amazon towards a fully optimized drone delivery platform. Our recommendations will be based upon our extensive experience concerning cost and logistical efficiencies, as well as our knowledge of Amazon as a corporation. We will offer succinct suggestions for Amazon's immediate needs as well as long-term solutions to lingering obstacles that they may face.
ContributorsMcCaleb, Nicholas (Co-author) / Glynn, Reagan (Co-author) / Choi, Thomas (Thesis director) / Rogers, Dale (Committee member) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Goal of paper: To discuss the benefits and detractors of asteroid mining, and whether this is a task that should be undertaken now, or if something needs to change before real strides can be made in the field. Findings: After research and looking at what companies are currently doing, I have found several different benefits and detractors of asteroid mining. The main benefit of asteroid mining is acquiring the resources at the end of the project, whether those resources are raw metals being brought back to Earth or water that will be used as fuel for deep space travel. Those resources are extremely valuable and can create a huge profit for the company that acquires them. However, these resources can take an extremely long time to acquire, at least 20 years. So, while this industry can be extremely lucrative, it may take quite a long time and will need plenty of funding and side ventures to stay afloat long enough to reach that goal. Overall, if financed properly asteroid mining can be extremely profitable.
ContributorsScheven, Spenser (Author) / Choi, Thomas (Thesis director) / Printezis, Antonios (Committee member) / Department of Information Systems (Contributor) / W. P. Carey School of Business (Contributor) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The purpose of this thesis is to gain a greater understanding of Ph. D research and how general research in the field of supply chain management and operations is being conducted in 2017. In order to gain a greater understanding, this thesis contains summaries and personal perspectives on four different supply chain management and operations seminars from visiting professors. There is also an expanded examination of the research area from the fourth seminar, process compliance. Multiple literature sources were used to construct a perspective on process development, process standardization, and process compliance origins and current state.
ContributorsBerg, Paul Joseph (Author) / Taylor, Todd (Thesis director) / Printezis, Antonios (Committee member) / Department of Finance (Contributor) / Hugh Downs School of Human Communication (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The purpose of this project is to provide our client with a tool to mitigate Company X's franchise-wide inventory control problem. The problem stems from the franchises' initial strategy to buy all inventory as customers brought them in without a quantitative way for buyers to evaluate the store's inventory needs. The Excel solution created by our team serves to provide that evaluation for buyers using deseasonalized linear regression to forecast inventory needs for clothing of different sizes and seasons by month. When looking at the provided sales data from 2014-2016, there was a clear seasonal trend, so the appropriate forecasting model was determined by testing 3 models: Triple Exponential Smoothing model, Deseasonalized Simple Linear Regression, and Multiple Linear Regression.The model calculates monthly optimal inventory levels (current period plus future 2 periods of inventory). All of the models were evaluated using the lowest mean absolute error (meaning best fit with the data), and the model with best fit was Deseasonalized Simple Linear Regression, which was then used to build the Excel tool. Buyers can use the Excel tool built with this forecasting model to evaluate whether or not to buy a given item of any size or season. To do this, the model uses the previous year's sales data to forecast optimal inventory level and compares it to the stores' current inventory level. If the current level is less than the optimal level, the cell housing current value will turn green (buy). If the currently level is greater than or equal to optimal level or less than optimal inventory level*1.05, current value will turn yellow (buy only if good quality). If the current level is greater than optimal level*1.05 current level will be red (don't buy). We recommend both stores implement a way of keeping track of how many clothing items held in each bin to keep more accurate inventory count. In addition, the model's utility will be of limited use until both stores' inventories are at a level where they can afford to buy. Therefore, it is in the client's best interest to liquidate stale inventor into store credit or cash In the future, the team would also like to develop a pricing model to better meet the needs of the client's two locations.
ContributorsUribes-Yanez, Diego (Co-author) / Liu, Jessica (Co-author) / Taylor, Todd (Thesis director) / Gentile, Erica (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Zimbabwe's economic crisis has spun over decades since the late 90s. The ordeal began with hyperinflation between 1999 and 2008. During this time, the country was in debt and the government kept printing money to pay off the debt and take care of fiscal obligations. As a result, the economy has undergone some unstable phases which have made it difficult for citizens to comprehend how money works around the world. This project identifies the key events leading to Zimbabwe's economic struggles; describes the challenges of inadequate financial education; analyzes the role of financial literacy in alleviating Zimbabwe's economic crisis; acknowledges that financial literacy is a necessary foundation for creating financial independence amongst citizens, but is ineffective in the absence of financial inclusion; suggests blockchain technology as a sustainable means to mobilize both financial education and inclusion; provides recommendations for successful development of financial education and inclusion and introduces our plan to start an initiative that promotes financial independence amongst young Zimbabweans. It is without a doubt that public financial education and inclusion programs become a top priority for Zimbabweans in order to revive the economy. The conclusion is drawn from the idea that when individuals are empowered to be self-sufficient, they can intentionally or unintentionally contribute to economic growth by improving their standards of living and that of those around them.
ContributorsNyanhete, Yolanda (Co-author) / Vheremu, Gloria (Co-author) / Taylor, Todd (Thesis director) / Lin, Elva (Committee member) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The purpose of this research was to identify various problems within value analysis teams as well as provide solutions that will help to better align the agents involved in the value analysis process. As healthcare costs continue to rise, and hospital reimbursements fall, value analysis teams will play an even more pivotal role in the success of healthcare organizations. Also, the industry trend toward value-based care is highlighting the importance of these teams. However, interdisciplinary value analysis teams bring to light the underlying agency issue that exists between physicians and hospital administrators, and the general misalignment of values between the participants. In order for these teams to function properly, it is inherent that all of the professionals involved align their incentives. For this study, I studied relevant literature pertaining to value analysis, attended relevant speakers, and then performed interviews with several different professionals involved in healthcare value analysis. I organized and coded this data using the Grounded Theory approach, and was able to identify the underlying issues within these teams. I then created a typology of value analysis teams, based on my respondents, where I segment them into four tiers based on their utilization of data, and their level of physician involvement. Finally, I identified three distinct strategies for developing value analysis teams to implement in order to increase their efficiency and overall success.
ContributorsLindgren, Thomas John (Author) / Schneller, Eugene (Thesis director) / Choi, Thomas (Committee member) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05