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- All Subjects: Supply Chain Management
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Description
This study explores domestic and international tourists' perceptions of nature-based tourism using the North-South conceptualization of nature and the setting up of national parks as a conceptual framework. In addition, using Urry's (1990) tourist gaze, the study assesses tourism promotions in Botswana from locals' and tourism marketers' points of view. Moreover, the study assesses locals' tourist gaze and compares it with the international tourist gaze. Qualitative methods were used to collect data, including in-depth interviews with local residents, international tourists, and tourism promoters such as government agencies and the private sector. Photo-elicitation interviews were also carried out to help identify the respondents' gaze. Six study sites, including the protected areas of Chobe National Park (CNP), Moremi Game Reserve (MGR), two cities of Gaborone and Francistown, and two urban villages of Palapye and Maun were selected for this study. Results indicate that the way people in the South conceptualize nature is different from the way international tourists do, and this has an impact on visitations to national parks. While for international tourists nature symbolizes recreation, rejuvenation, and an opportunity `to get away from it all', for locals it is seen as a part of everyday life. Furthermore, tourism promotions in the country are geared towards promoting Western tourists' gaze with the local market gaze being totally ignored by the sector. The local gaze is also different from the Western gaze. While for international tourists visiting Botswana the gaze is directed towards wildlife and wilderness, for locals, the gaze is directed towards more traditional destinations, such as farms, as well as more `modern' attractions and `touristic' attractions.
However, it is the Western gaze that is taken into consideration by tourism promoters, thereby questioning the sustainability of an industry that disregards one group over another. The results also indicate that culture and historical events have an impact on visitations to protected areas. Policy implications are discussed.
However, it is the Western gaze that is taken into consideration by tourism promoters, thereby questioning the sustainability of an industry that disregards one group over another. The results also indicate that culture and historical events have an impact on visitations to protected areas. Policy implications are discussed.
ContributorsStone, Lesego Senyana (Author) / Nyaupane, Gyan P (Thesis advisor) / Timothy, Dallen J. (Committee member) / Mbaiwa, Joseph E (Committee member) / Buzinde, Christine (Committee member) / Arizona State University (Publisher)
Created2014
Description
This piece aims to discuss the roles of emerging geographies within the context of global supply chains, approaching the conversation with a "systems" view, emphasizing three key facets essential to a holistic and interdisciplinary environmental analysis: -The Implications of Governmental & Economic Activities -Supply Chain Enablement Activities, Risk Mitigation in Emerging Nations -Implications Regarding Sustainability, Corporate Social Responsibility In the appreciation of the interdisciplinary implications that stem from participation in global supply networks, supply chain professionals can position their firms for continued success in the proactive construction of robust and resilient supply chains. Across industries, how will supply networks in emerging geographies continue to evolve? Appreciating the inherent nuances related to the political and economic climate of a region, the extent to which enablement activities must occur, and sustainability/CSR tie-ins will be key to acquire this understanding. This deliverable aims to leverage the work of philosophers, researchers and business personnel as these questions are explored. The author will also introduce a novel method of teaching (IMRS) in the undergraduate business classroom that challenges the students to integrate their prior experiences both in the classroom and in the business world as they learn to craft locally relevant solutions to solve complex global problems.
ContributorsVaney, Rachel Lee (Author) / Maltz, Arnold (Thesis director) / Kellso, James (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor)
Created2015-05
Description
New Venture Group, a student-run consulting organization at ASU, collaborated with representatives from Intel Corporation to determine current best supplier management practices in the area of capital equipment procurement. The New Venture Group team accomplished this goal by completing the following deliverables: (1) Research and consolidate best practices for managing capital equipment suppliers. (2) Interview suppliers of capital equipment in the semiconductor industry to understand their motivators. (3) Examine top supply chain companies that utilize capital equipment manufacturers within their procurement systems. (4) Gather data and knowledge in conjunction with Intel Corporation's current practices to improve the effectiveness of the company's supplier management techniques regarding capital equipment manufacturers. The thesis report outlines the key insights and recommendations that our team extracted from the research that we performed. Our team analyzed peer-reviewed journal articles, conducted interviews with suppliers of capital equipment to semiconductor manufacturers, and surveyed buyers at top companies to reach important key insights. We then used these insights to develop the following strategies to improve Intel's capital equipment supplier management structure: All Suppliers 1. Allow high-performance suppliers to select one reward from an established portfolio of incentives. 2. Increase measurement frequency for specific metrics. 3. Use collaborative two-way measurement with a corresponding balanced scorecard. Key Suppliers of Critical Products 4. Conduct gap analysis through supplier self-assessments. 5. Implement collaborative target pricing. 6. Delegate an Ombudsman. 7. Create a value map to determine the strengths and incentivize collaboration. 8. Create comparison charts comparing supplier technological competencies versus Intel's product developments. 9. Establish a systematized product development process and strategic sourcing strategy that supports the continuation of Moore's Law.
ContributorsSantiago, Bryce (Co-author) / Chen, Jenny (Co-author) / Chang, Karen (Co-author) / Baldridge, Stephen (Co-author) / Laub, Jeffrey (Thesis director) / Brooks, Daniel (Committee member) / Department of Information Systems (Contributor, Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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
Throughout history, terrorism has had major effects on tourists and tourism destinations that are targeted. When terrorists execute an attack in order to communicate a message, resulting impacts go far beyond lives lost. Included in these impacts is the fear that terror attacks leave on tourists, sometimes creating such an impression that tourists change travel plans as a result. Although there are many studies on destination image, risk perception, and decision-making, very few focus specifically on the millennial generation. Because millennials are changing the travel and tourism scene - as they now make up the largest percentage of the population \u2014 it is important for stakeholders in the tourism industry and DMOs to understand this shift and the implications that come with these changes. This study provides a qualitative analysis of millennials' views, attitudes, and beliefs regarding terror impacted tourist destinations. Specifically, it will explore how millennials develop their destination images, if millennials view international travel to be risky, and if millennials are willing to travel to terror impacted tourist destinations. Using focus group methodology, this study gathered data from students from a number of disciplines, genders, and travel experience, in order to understand the themes listed above. Analysis of the findings and implications for officials and DMOs follow, as well as a conclusion including limitations and recommendations for future studies.
ContributorsBacon, Laura Elizabeth (Author) / Buzinde, Christine (Thesis director) / Nyaupane, Gyan (Committee member) / Department of Management and Entrepreneurship (Contributor) / W. P. Carey School of Business (Contributor) / College of Public Service and Community Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The main compelling question to this thesis was to determine if there is a relationship between the amount of sensitivity received in ones college experience to how easily one transitions to a full time role upon graduation. Furthermore to determine if there is measurable difference, what can educators do to close the gap to better serve students. The conduction of this thesis was done through a survey via Google Forms targeting three groups. The three groups were Alpha Kappa Psi at Arizona State University, Delta Sigma Pi at Penn State University and the Supply Chain Development Program at Dell in Austin, Texas. These groups allowed for a wide range of demographics in participants from all over the US and with many different business majors. There were two main sections in the survey, personal experiences with professors and personal experiences with peers. Both asked multiple different hard data questions (multiple choice, numerical rating, drop down) and short answer questions (open ended.) The goal was to gauge participant's experiences with their professors and their peers in terms of sensitivity and see if it helped or hindered their experience transitioning to a full time role. The results for the hard data indicated that there was a significant correlation between better professors being more sensitive and worse professors exercising very little sensitivity. The open ended responses indicated that students preferred professors that gave less sensitive and academic approach and more real life experiences to help them transition to their job. There were many issues to if the open-ended responses specifically addressed sensitivity versus other topics. Three other topics that were clearly alternately identified were class behavior, job relevancy, and professor influence/resistance. Overall from the research completed in this study it can be concluded that sensitivity does not significantly affect the performance in the transition from college to working in a profession environment.
ContributorsGhinos, Christina Eva (Author) / Kellso, James (Thesis director) / Thorn, Taylor (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
This thesis, through a thorough literature and content review, discusses the various ways that data analytics and supply chain management intersect. Both fields have been around for a while, but are incredibly aided by the information age we live in today. Today's ERP systems and supply chain software packages use advanced analytic techniques and algorithms to optimize every aspect of supply chain management. This includes aspects like inventory optimization, portfolio management, network design, production scheduling, fleet planning, supplier evaluation, and others. The benefit of these analytic techniques is a reduction in costs as well as an improvement in overall supply chain performance and efficiencies. The paper begins with a short historical context on business analytics and optimization then moves on to the impact and application of analytics in the supply chain today. Following that the implications of big data are explored, along with how a company might begin to take advantage of big data and what challenges a firm may face along the way. The current tools used by supply chain professionals are then discussed. There is then a section on the most up and coming technologies; the internet of things, blockchain technology, additive manufacturing (3D printing), and machine learning; and how those technologies may further enable the successful use of analytics to improve supply chain management. Companies that do take advantage of analytics in their supply chains are sure to maintain a competitive advantage over those firms that fail to do so.
ContributorsCotton, Ryan Aaron (Author) / Taylor, Todd (Thesis director) / Arora, Hina (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
During the summer of 2016 I had an internship in the Fab Materials Planning group (FMP) at Intel Corporation. FMP generates long-range (6-24 months) forecasts for chemical and gas materials used in the chip fabrication process. These forecasts are sent to Commodity Mangers (CMs) in a separate department where they communicate the forecast and any constraints to Intel suppliers. The intern manager of the group, Scott Keithley, created a prototype of a model to redefine how FMP determines which materials require a forecast update (forecasting cadence). However, the model prototype was complex to use, not intuitive, and did not receive positive feedback from the rest of the team or external stakeholders. This thesis will detail the steps I took in identifying the main problem the model was intended to address, how I approached the problem, and some of the major iterations I took to modify the model. It will also go over the final model dashboard and the results of the model use and integration. An improvement analysis and the intended and unintended consequences of the model will also be included. The results of this model demonstrate that statistical process control, a traditionally operational analysis, can be used to generate a forecasting cadence. It will also verify that an intuitive user interface is vital to the end user adoption and integration of an analytics based model into an established process flow. This model will generate an estimated time savings of 900 hours per year as well as giving FMP the ability to be more proactive in its forecasting approach.
ContributorsMatson, Rilee Nicole (Author) / Kellso, James (Thesis director) / Keithley, Scott (Committee member) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The authors (hereinafter, "the team") engaged in a consulting project with Honeywell Process Solutions, on behalf of the New Venture Group (nVg) The New Venture Group is a student-run management consulting firm within the W.P. Carey School of Business. Its purpose is to provide an experience that allows members to learn about management consulting by interacting with real clients doing value -adding work. Through this particular client engagement, the team was asked to research and develop a structured process that would allow Honeywell Process Solutions to usefully compare 22 factories to each other on a broad range of performance issues.
ContributorsClark, Alexander Kenneth (Co-author) / Lau, Branden (Co-author) / Brooks, Daniel (Thesis director) / Dawson, Gregory (Committee member) / Pfund, Michele (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor)
Created2013-05
Description
The Internet of Things (IoT) refers to the system of 'smart' inter-connected networked devices that contain sensors to communicate information to the Internet. Due to the complex and intricate nature of IoT technologies, in addition to the many applications of IoT, the IoT has the potential to revolutionize how we interact and work every day. The information gathered through IoT is aggregated and can be used to improve business decision making, as well as contribute to a greater society. IoT spans various market sectors including retail, energy, and transportation. IoT can also be used to improve efficiencies within the supply chain. By increasing the transparency of items in-transit, in addition to providing greater visibility about inventory usage and consumer consumption habits, there are many implications of IoT that can be utilized to transform logistical processes. While some literature exists that discusses the impact of the IoT on the supply chain, the findings are limited in size and scope and tend to focus on particular implementations of IoT technologies. Further research is necessary to evaluate the impact of IoT to advance supply chain best practices and to understand the potential implications of the IoT in improving supply chain planning and distribution. This thesis aims to address this gap in the literature. By focusing on supply chain management, the thesis will look at the context in which the IoT operates, the market and implications of IoT devices, current logistics processes, the capabilities of IoT, as well as the potential problems and weaknesses with the implementation of the IoT.
ContributorsBentley, Garrett Burton (Author) / Rabinovich, Elliot (Thesis director) / Kellso, James (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05