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- Creators: Department of Psychology
- Creators: Department of Information Systems
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- Status: Published
Description
This thesis project was conducted to create a practical tool to help micro and small local food enterprises identify potential strategies and sources of finance. Currently, many of these enterprises are unable to obtain the financial capital needed to start-up or maintain operations.
Sources and strategies of finance studied and ultimately included in the tool were Loans, Equity, Membership, Crowdfunding, and Grants. The tool designed was a matrix that takes into account various criteria of the business (e.g. business lifecycle, organizational structure, business performance) and generates a financial plan based on these criteria and how they align with the selected business strategies. After strategies are found, stakeholders can search through an institutional database created in conjunction with the matrix tool to find possible institutional providers of financing that relate to the strategy or strategies found.
The tool has shown promise in identifying sources of finance for micro and small local food enterprises in practical use with hypothetical business cases, however further practical use is necessary to provide further input and revise the tool as needed. Ultimately, the tool will likely become fully user-friendly and stakeholders will not need the assistance of another expert helping them to use it. Finally, despite the promise of the tool itself, the fundamental and underlying problem that many of these businesses face (lack of infrastructure and knowledge) still exists, and while this tool can also help capacity-building efforts towards both those seeking and those providing finance, an institutional attitude adjustment towards social and alternative enterprises is necessary in order to further simplify the process of obtaining finance.
Sources and strategies of finance studied and ultimately included in the tool were Loans, Equity, Membership, Crowdfunding, and Grants. The tool designed was a matrix that takes into account various criteria of the business (e.g. business lifecycle, organizational structure, business performance) and generates a financial plan based on these criteria and how they align with the selected business strategies. After strategies are found, stakeholders can search through an institutional database created in conjunction with the matrix tool to find possible institutional providers of financing that relate to the strategy or strategies found.
The tool has shown promise in identifying sources of finance for micro and small local food enterprises in practical use with hypothetical business cases, however further practical use is necessary to provide further input and revise the tool as needed. Ultimately, the tool will likely become fully user-friendly and stakeholders will not need the assistance of another expert helping them to use it. Finally, despite the promise of the tool itself, the fundamental and underlying problem that many of these businesses face (lack of infrastructure and knowledge) still exists, and while this tool can also help capacity-building efforts towards both those seeking and those providing finance, an institutional attitude adjustment towards social and alternative enterprises is necessary in order to further simplify the process of obtaining finance.
ContributorsDwyer, Robert Francis (Author) / Wiek, Arnim (Thesis director) / Forrest, Nigel (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The purpose of our research was to develop recommendations and/or strategies for Company A's data center group in the context of the server CPU chip industry. We used data collected from the International Data Corporation (IDC) that was provided by our team coaches, and data that is accessible on the internet. As the server CPU industry expands and transitions to cloud computing, Company A's Data Center Group will need to expand their server CPU chip product mix to meet new demands of the cloud industry and to maintain high market share. Company A boasts leading performance with their x86 server chips and 95% market segment share. The cloud industry is dominated by seven companies Company A calls "The Super 7." These seven companies include: Amazon, Google, Microsoft, Facebook, Alibaba, Tencent, and Baidu. In the long run, the growing market share of the Super 7 could give them substantial buying power over Company A, which could lead to discounts and margin compression for Company A's main growth engine. Additionally, in the long-run, the substantial growth of the Super 7 could fuel the development of their own design teams and work towards making their own server chips internally, which would be detrimental to Company A's data center revenue. We first researched the server industry and key terminology relevant to our project. We narrowed our scope by focusing most on the cloud computing aspect of the server industry. We then researched what Company A has already been doing in the context of cloud computing and what they are currently doing to address the problem. Next, using our market analysis, we identified key areas we think Company A's data center group should focus on. Using the information available to us, we developed our strategies and recommendations that we think will help Company A's Data Center Group position themselves well in an extremely fast growing cloud computing industry.
ContributorsJurgenson, Alex (Co-author) / Nguyen, Duy (Co-author) / Kolder, Sean (Co-author) / Wang, Chenxi (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Department of Management (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Introduction: The current study aimed to explore the prevalence rates of binge-eating and weight compensatory behaviors across sexual minority undergraduate men and women. Methods: The sample included 3411 undergraduate men and women from a large public university. Participants completed a self-report online questionnaire regarding various personality, social networking, and health behaviors. Results: Analyses showed no difference in binge-eating for women, but statistically significant differences across sexual orientation groups for weight compensatory behaviors. Analyses for men showed statistically significant differences between sexual orientation groups for objective-binge eating and self-induced vomiting. There were no differences among men for other behaviors. Discussion: These findings demonstrate both statistically and clinically significant differences across sexual orientation groups indicating that gender as well as sexual orientation bear a correlation to the propensity to engage in certain disordered eating behaviors.
ContributorsVon Schell, Anna Victoria (Author) / Perez, Marisol (Thesis director) / Ohrt, Tara (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Company X is one of the world's largest manufacturer of semiconductors. The company relies on various suppliers in the U.S. and around the globe for its manufacturing process. The financial health of these suppliers is vital to the continuation of Company X's business without any material interruption. Therefore, it is in Company X's interest to monitor its supplier's financial performance. Company X has a supplier financial health model currently in use. Having been developed prior to watershed events like the Great Recession, the current model may not reflect the significant changes in the economic environment due to these events. Company X wants to know if there is a more accurate model for evaluating supplier health that better indicates business risk. The scope of this project will be limited to a sample of 24 suppliers representative of Company X's supplier base that are public companies. While Company X's suppliers consist of both private and public companies, the used of exclusively public companies ensures that we will have sufficient and appropriate data for the necessary analysis. The goal of this project is to discover if there is a more accurate model for evaluating the financial health of publicly traded suppliers that better indicates business risk. Analyzing this problem will require a comprehensive understanding of various financial health models available and their components. The team will study best practice and academia. This comprehension will allow us to customize a model by incorporating metrics that allows greater accuracy in evaluating supplier financial health in accordance with Company X's values.
ContributorsLi, Tong (Co-author) / Gonzalez, Alexandra (Co-author) / Park, Zoon Beom (Co-author) / Vogelsang, Meridith (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
As the IoT (Internet of Things) market continues to grow, Company X needs to find a way to penetrate the market and establish larger market share. The problem with Company X's current strategy and cost structure lies in the fact that the fastest growing portion of the IoT market is microcontrollers (MCUs). As Company X currently holds its focus in manufacturing microprocessors (MPUs), the current manufacturing strategy is not optimal for entering competitively into the MCU space. Within the MCU space, the companies that are competing the best do not utilize such high level manufacturing processes because these low cost products do not demand them. Given that the MCU market is largely untested by Company X and its products would need to be manufactured at increasingly lower costs, it runs the risk of over producing and holding obsolete inventory that is either scrapped or sold at or below cost. In order to eliminate that risk, we will explore alternative manufacturing strategies for Company X's MCU products specifically, which will allow for a more optimal cost structure and ultimately a more profitable Internet of Things Group (IoTG). The IoT MCU ecosystem does not require the high powered technology Company X is currently manufacturing and therefore, Company X loses large margins due to its unnecessary leading technology. Since cash is king, pursuing a fully external model for MCU design and manufacturing processes will generate the highest NPV for Company X. It also will increase Company X's market share, which is extremely important given that every tech company in the world is trying to get its hands into the IoT market. It is possible that in ten to thirty years down the road, Company X can manufacture enough units to keep its products in-house, but this is not feasible in the foreseeable future. For now, Company X should focus on the cost market of MCUs by driving its prices down while maintaining low costs due to the variables of COGS and R&D given in our fully external strategy.
ContributorsKadi, Bengimen (Co-author) / Peterson, Tyler (Co-author) / Langmack, Haley (Co-author) / Quintana, Vince (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of Accountancy (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
In this study, potential differences in the manifestation and rates of eating disorders and symptoms (body dissatisfaction, weight and shape concerns, food restriction, and compensatory behaviors) in college women across sexual orientations were examined. The sociocultural model of eating disorders was also examined for these women across sexual orientations. The participants were organized into three different sexual orientation groups for analysis: heterosexual (group 1), bisexual, pansexual, and polysexual (group 2), and lesbian, gay, queer, transsexual, asexual, and other (group 3). Using cross-sectional data, it was revealed that there were significant group differences when comparing the three sexual orientation groups on loss of control over eating, but no significant group differences on body dissatisfaction, thin ideal internalization, and weight-related eating pathology, and total eating disorder symptoms scores. The sociocultural model was not predictive of eating disorder symptoms among non-heterosexual groups. Longitudinal analyses revealed that the sociocultural model of eating disorders prospectively predicts eating disorder symptoms among heterosexual women, but not non-heterosexual women. Both cross-sectional and longitudinal analyses indicate that non-heterosexual women may be protected from societal pressure to subscribe to the thin ideal and its subsequent internalization. However, the comparison group of heterosexual women in our study may not have been completely representative of undergraduate women in terms of total eating disorder symptoms or eating pathology. Additionally, regardless of sexual orientation, our sample reported more total eating disorder symptoms and emotional eating than previous studies. These findings have both clinical and research implications. Future research is needed to determine what risk factors and treatment target variables are relevant for non-heterosexual women.
ContributorsNorman, Elizabeth Blair (Author) / Perez, Marisol (Thesis director) / Presson, Clark (Committee member) / Cavanaugh Toft, Carolyn (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The relationship of attachment style to both the selection and efficacy of emotion management strategies in adult dyadic contexts is not well elucidated. In non-romantic contexts, the interplay between emotion management and individual attachment style may provide a better understanding of how affect can be mitigated in daily life. The present study investigated these interactions by studying 56 pairs of college age women who were close friends. Participants were asked to have a conversation about a current source of concern/distress to one partner, while seated in the laboratory. After the conversation, participants were asked to report their subjective experience of several emotions during the conversation, such as ‘sadness,’ ‘joy,’ and ‘fear.’ Participants were also asked to complete a questionnaire assessing adult attachment style, specifically attachment anxiety and avoidance. Behavior during the conversation was coded for co-rumination and co-cognitive reappraisal by the “listener.” Listener attachment insecurity showed a trending association with increased use of co-detached reappraisal, for both avoidance (p=0.14) and anxiety (p=0.14). Listener attachment insecurity also predicted lower use of co-rumination, for both anxiety (p=0.10) and avoidance (p=0.02). Speaker attachment insecurity moderated the relationship between co-detached reappraisal and speaker emotion. Greater co-detached reappraisal predicted higher reports of non-fear negative and positive emotions, but only for high-avoidance speakers. Greater co-detached reappraisal also predicted greater non-fear negative emotions among speakers high, but not low, on attachment anxiety. Greater listener use of co-positive reappraisal was associated with higher reports of speaker fear; this effect was not moderated by speaker attachment style. These findings are discussed in relation to theoretical conceptions of attachment style, and in terms of the impact of context on emotion.
ContributorsJakob, Nicholas (Co-author) / Tolmachoff, Georgeanne (Co-author) / Shiota, Michelle (Thesis director) / Luecken, Linda (Committee member) / Yee, Claire (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
A Guide to Financial Mathematics is a comprehensive and easy-to-use study guide for students studying for the one of the first actuarial exams, Exam FM. While there are many resources available to students to study for these exams, this study is free to the students and offers an approach to the material similar to that of which is presented in class at ASU. The guide is available to students and professors in the new Actuarial Science degree program offered by ASU. There are twelve chapters, including financial calculator tips, detailed notes, examples, and practice exercises. Included at the end of the guide is a list of referenced material.
ContributorsDougher, Caroline Marie (Author) / Milovanovic, Jelena (Thesis director) / Boggess, May (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
Social Networking Sites (SNSs), such as Facebook and Twitter, have continued to gain popularity worldwide. Previous research has shown differences in online behaviors at the cultural level, namely between predominantly independent societies, such as the United States, and predominantly interdependent societies, such as China and Japan. In the current study I sought to test whether self-construal was correlated with different ways of using SNSs and whether there might be SES differences within the US that were analogous to previously observed cross-cultural differences in SNS use. Higher levels of interdependence were linked with using SNSs to keep in touch with family and friends, and providing social support to others. Interdependence was also correlated with Facebook addiction scale scores, using SNSs in inappropriate situations, and overall SNS use. Implications for assessing risk for Internet addiction, as well as understanding cultural variations in prevalence of Internet addiction are discussed.
ContributorsSobota, David Stanley (Author) / Varnum, Michael (Thesis director) / Knight, George (Committee member) / Dorman, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2015-05
Description
The Information Measurement Theory proposes that Type A people are perceptive and Type A people are capable of quicker change/adaptation. This study evaluated how transparency with past and present environments predicts their ability to grow and change in their current environment. People responded to a survey based on statements about personal life, specifically their relationship to their parents and the effect their parents have on their personal life. If a participant answered a certain way on the survey, they were asked for a further interview to evaluate IMT beliefs and environment beliefs more closely and specifically. The answers were evaluated using correlations, linear regression and a t-test. The results implicated that transparency is indicative of growth in Type C personalities but not necessary for growth in Type A personalities. The results also implicated that non-profit organizations are beneficial to growth in society.
ContributorsPelech, Ashley Anne (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / Department of Psychology (Contributor)
Created2014-12