Matching Items (22)
Description
The jobless recovery of the Great Recession has led policymakers and citizens alike to ask what can be done to better protect regions from the cascading effects of an economic downturn. Economic growth strategies that aim to redevelop a waterfront for tourism or attract high growth companies to the area, for example, have left regions vulnerable by consolidating resources in just a few industry sectors or parts of town. A promising answer that coincided with growing interest in regional innovation policy has been to promote entrepreneurship for bottom-up, individual-led regional development. However, these policies have also failed to maximize the potential for bottom-up development by focusing on high skill entrepreneurs and high tech industry sectors, such as green energy and nanotechnology. This dissertation uses the extended case method to determine whether industry cluster theory can be usefully extended from networks of high skill innovators to entrepreneurs in traditional trades. It uses U.S. Census data and in-person interviews in cluster and non-cluster neighborhoods in Dayton, Ohio to assess whether traditional entrepreneurs cluster and whether social networks explain high rates of neighborhood self-employment. Entrepreneur interviews are also conducted in Raleigh, North Carolina to explore regional resilience by comparing the behavior of traditional entrepreneurs in the ascendant tech-hub region of Raleigh and stagnant Rustbelt region of Dayton. The quantitative analysis documents, for the first time, a minor degree of neighborhood-level entrepreneur clustering. In interviews, entrepreneurs offered clear examples of social networks that resemble those shown to make regional clusters successful, and they helped clarify that a slightly larger geography may reveal more clustering. Comparing Raleigh and Dayton entrepreneurs, the study found few differences in their behavior to explain the regions' differing long-term economic trends. However, charitable profit-seeking and trial and error learning are consistent behaviors that may distinguish traditional, small scale entrepreneurs from larger export-oriented business owners and contribute to a region's ability to withstand recessions and other shocks. The research informs growing policy interest in bottom-up urban development by offering qualitative evidence for how local mechanics, seamstresses, lawn care businesses and many others can be regional assets. Future research should use larger entrepreneur samples to systematically test the relationship between entrepreneur resilience behaviors to regional economic outcomes.
ContributorsAuer, Jennifer Claire (Author) / Chapman, Jeffrey (Thesis advisor) / Johnston, Erik W., 1977- (Committee member) / Jurik, Nancy (Committee member) / Arizona State University (Publisher)
Created2013
Description
Newer communication technologies (CTs) will always vie with more mature technologies for the attention of time-constrained legislators. As continual advances in CT make new methods of communication available to legislators, it is important to understand how newly introduced CTs influence novel and changing legislator behaviors. The mixed-method research presented in this study provides deep insights into the relationships between legislators and the CTs they use. This study offers many contributions, among them: it effectively bridges a gap between existing Internet Enabled CT (IECT) behavioral studies on non-legislators by expanding them to include legislator behavior; it expands existing narrowly focused research into the use of CT by legislators by including both IECT and mature CTs such as face-to-face meetings and telephone; it provides a fresh perspective on the factors that make CTs important to legislators, and it uncovers legislator behaviors that are both useful, and potentially harmful, to the process of democracy in the United States. In addition, this study confirms and extends existing research in areas such as minority party constituent communication frequency, and extends the topic of legislator CT behavior into some unanticipated areas such as constituent selective behaviors and the use of text messaging during floor debates which effectively enable lobbyists and paid consultants to participate real-time in floor debates in the Arizona House and Senate.
ContributorsWest, Joe, 1959- (Author) / Corley, Elizabeth A (Thesis advisor) / Johnston, Erik W., 1977- (Committee member) / Svara, James H. (Committee member) / Arizona State University (Publisher)
Created2014
Description
Research provides increasing support of self-worth, non-physical motives, and body image for predicting physical activity in women. However, no empirical tests of these associations have been conducted. Ecological momentary assessment (EMA) has been recognized as useful for understanding correlates of physical activity. This study tested the feasibility of a novel EMA protocol and explored temporal relationships between daily self-worth and physical activity in middle-aged women. Women aged 35-64 years (N=63; M age=49.2±8.2 years) received text message prompts to an Internet-based mobile survey three times daily for 28 days. The survey assessed momentary activity, self-worth (knowledge, emotional, social, physical, general), and self-efficacy. Women concurrently wore an accelerometer on their non-dominant wrist. Feasibility was assessed via accelerometer wear-time estimates, survey completion rates, and participant feedback. Multilevel models examined the predictive influence of self-worth on daily activity counts. Self-efficacy was also tested due to known relationships with self-worth and physical activity in women. Wear time was high (952.92 ± 100.99 min per day), with only 141 observations lost to non-wear. However, 449 were lost to accelerometer malfunction. Women completed 80.8% of surveys. After excluding missing physical activity data, 67.5% of observations (N=3573) were analyzed. Although women thought the survey was easy to complete, perceptions of the accelerometer were mixed. Approximately 34% of the variance in daily counts was within individuals (ICC=0.66). Average self-efficacy (β=0.005, p=0.009), daily fluctuations in self-efficacy (β=0.001, p<0.001), and daily fluctuations in general self-worth (β=0.04, p=0.003) predicted daily activity. There were significant individual differences in relationships between daily fluctuations in emotional (β=0.006, p=0.02) and general self-worth (β=0.005, p=0.02) and daily activity. The use of text message prompts and an Internet-based mobile survey was feasible for conducting EMA in middle-aged women. Research identifying optimal methods of behavior monitoring in longitudinal studies is needed. Results provide support for small but significant associations among daily fluctuations in self-efficacy and general self-worth and daily activity in middle-aged women. The impact of emotional self-worth may differ across women. Further research examining the transient natures of self-efficacy and general self-worth, improving self-worth scales, and testing momentary strategies to increase women's self-worth and physical activity is warranted.
ContributorsEhlers, Diane K. (Author) / Huberty, Jennifer L (Thesis advisor) / Todd, Michael (Committee member) / Vreede, Gert-Jan de (Committee member) / Hooker, Steven (Committee member) / Buman, Matthew (Committee member) / Arizona State University (Publisher)
Created2014
Description
Most of challenges facing today's government cannot be resolved without collaborative efforts from multiple non-state stakeholders, organizations, and active participation from citizens. Collaborative governance has become an important form of management practice. Yet the success of this inclusive management approach depends on whether government agencies and all other involved parties can collectively deliberate and work toward the shared goals. This dissertation examines whether information technology (IT) tools and prior cooperative interactions can be used to facilitate the collaboration process, and how IT tools and prior cooperative interactions can, if at all, get citizens and communities more engaged in collaborative governance. It focuses on the individual and small groups engaged in deliberating on a local community problem, which is water sustainability in the Phoenix metropolitan area. Experiments were conducted to compare how people deliberate and interact with each other under different IT-facilitated deliberation environments and with different prehistory of interactions. The unique experimental site for this research is a designed deliberation space that can seat up to 25 participants surrounded by the immersive 260-degree seven-screen communal display. In total, 126 students from Arizona State University participated in the experiment. The experiment results show that the deliberation spaces can influence participants' engagement in the collaborative efforts toward collective goals. This dissertation demonstrates the great potential of well-designed IT-facilitated deliberation spaces for supporting policy deliberation and advancing collaborative governance. This dissertation provides practical suggestions for public managers and community leaders on how to design and develop the desired features of IT-facilitated interaction environments for face-to-face and computer-mediated online public deliberation activities. This dissertation also discusses lessons and strategies on how to build a stronger sense of community for promoting community-based efforts to achieve collective goals.
ContributorsHu, Qian (Author) / Cayer, N. Joseph (Thesis advisor) / Lan, Zhiyong (Thesis advisor) / Johnston, Erik W., 1977- (Committee member) / Shangraw, Ralph (Committee member) / Arizona State University (Publisher)
Created2011
Description
Excessive gestational weight gain (GWG) during pregnancy is a major public health concern. Studies have reported more than 70% of pregnant women gain excessive weight which may pose increased maternal and fetal risks. Little is known about the relationships of GWG to behavioral factors (i.e., physical activity, sleep, social support) and maternal mental health (i.e., stress, anxiety, depression) during pregnancy. This descriptive, cross-sectional study explored the relationships of GWG to behavioral factors and maternal mental health during pregnancy. Secondarily, this study described the preferences, uses of, and interests in alternative approaches as well as the mental health differences between users and non-users of alternative approaches during pregnancy. A national survey was administered to women ≥8 weeks pregnant, ≥18 years old, and residing in the United States (N=968). Bivariate correlations were used to determine relationships between GWG and variables of interest. Independent t-tests were used to observe mental health differences between users and non-users of alternative approaches. Data were analyzed throughout pregnancy and by trimester. Throughout pregnancy, significant relationships were found in GWG to stressful events (r=-.112, p<.01), depression (r=.066, p<.05), mindfulness (r=-.067, p<.05), and sleep (r=.089, p<.01). When GWG was assessed by trimester, stressful events were significant in the second (r=-.216, p<.01) and third trimesters (r=-.085, p<.05). Depression remained positively related to GWG in the first (r=.409, p<.01) and second trimesters (r=.162, p<.01). A positive relationship emerged between GWG and anxiety in the first trimester (r=.340, p<.01) and physical activity became significant in the second (r=-.136; p<.05) and third trimesters (r=-.100; p<.05). Mindfulness was the only variable significantly related to GWG throughout all time points. Mean anxiety (d=.236; p=.001) and depression (d=.265; p<.001) scores were significantly lower in users compared to non-users of alternative approaches throughout pregnancy and when assessed by trimester anxiety (d=.424; p=.001) and depression (d=.526; p<.001) were significant in the second trimester. This study provides a framework for future analyses in GWG and maternal mental health. The information presented here may inform future interventions to test the effectiveness of alternative approaches to simultaneously manage maternal mental health and GWG due to the integrative nature of alternative approaches.
ContributorsMatthews, Jennifer L. (Author) / Huberty, Jennifer L (Thesis advisor) / Leiferman, Jenn (Committee member) / Larkey, Linda (Committee member) / McClain, Darya (Committee member) / Arizona State University (Publisher)
Created2015
Description
Urban areas face a host of sustainability problems ranging from air and water quality, to housing affordability, and sprawl reducing returns on infrastructure investments, among many others. To address such challenges, cities have begun to envision generational sustainability transitions, and coalesce transition arenas in context to manage those transitions. Transition arenas coordinate the efforts of diverse stakeholders in a setting conducive to making evidence-based decisions that guide a transition forward. Though espoused and studied in the literature, transition arenas still require further research on the specifics of agent selection, arena setting, and decision-making facilitation. This dissertation has three related contributions related to transition arenas. First, it describes a process that took place within Phoenix that focused on identifying, recruiting, and building the capacity of potential transition agents for a transition arena. As part of this, a first draft suggestion of plausible steps to take for identifying, recruiting, and building a team of transition agents is proposed followed by a brief discussion on how this step-by-step process could be evaluated in subsequent work. Second, building on such engagement, this dissertation then offers criteria for transition agent selection based on a review of the literature that includes the setting in which a transition arena occurs, and strategies to support successful facilitation of decision-making in that setting. Third, those criteria are operationalized to evaluate the facilitation of a specific decision (draft of a new transportation plan) in a specific transition arena: the Citizens Committee for the future of Phoenix Transportation. The goal of this dissertation is to articulate a first-draft framework for guiding the development and scientific evaluation of transition arenas. Future work is required to empirically validate the framework in other real-world transition arenas. A feasible research agenda is provides to support this work.
ContributorsHarlow, John (Author) / Hekler, Eric (Thesis advisor) / Golub, Aaron (Thesis advisor) / Johnston, Erik W., 1977- (Committee member) / Wiek, Arnim (Committee member) / Arizona State University (Publisher)
Created2015
Description
Many individual-level behavioral interventions improve health and well-being. However, most interventions exhibit considerable heterogeneity in response. Put differently, what might be effective on average might not be effective for specific individuals. From an individual’s perspective, many healthy behaviors exist that seem to have a positive impact. However, few existing tools support people in identifying interventions that work for them, personally.
One approach to support such personalization is via self-experimentation using single-case designs. ‘Hack Your Health’ is a tool that guides individuals through an 18-day self-experiment to test if an intervention they choose (e.g., meditation, gratitude journaling) improves their own psychological well-being (e.g., stress, happiness), whether it fits in their routine, and whether they enjoy it.
The purpose of this work was to conduct a formative evaluation of Hack Your Health to examine user burden, adherence, and to evaluate its usefulness in supporting decision-making about a health intervention. A mixed-methods approach was used, and two versions of the tool were tested via two waves of participants (Wave 1, N=20; Wave 2, N=8). Participants completed their self-experiments and provided feedback via follow-up surveys (n=26) and interviews (n=20).
Findings indicated that the tool had high usability and low burden overall. Average survey completion rate was 91%, and compliance to protocol was 72%. Overall, participants found the experience useful to test if their chosen intervention helped them. However, there were discrepancies between participants’ intuition about intervention effect and results from analyses. Participants often relied on intuition/lived experience over results for decision-making. This suggested that the usefulness of Hack Your Health in its current form might be through the structure, accountability, and means for self-reflection it provided rather than the specific experimental design/results. Additionally, situations where performing interventions within a rigorous/restrictive experimental set-up may not be appropriate (e.g., when goal is to assess intervention enjoyment) were uncovered. Plausible design implications include: longer experimental and phase durations, accounting for non-compliance, missingness, and proximal/acute effects, and exploring strategies to complement quantitative data with participants’ lived experiences with interventions to effectively support decision-making. Future work should explore ways to balance scientific rigor with participants’ needs for such decision-making.
One approach to support such personalization is via self-experimentation using single-case designs. ‘Hack Your Health’ is a tool that guides individuals through an 18-day self-experiment to test if an intervention they choose (e.g., meditation, gratitude journaling) improves their own psychological well-being (e.g., stress, happiness), whether it fits in their routine, and whether they enjoy it.
The purpose of this work was to conduct a formative evaluation of Hack Your Health to examine user burden, adherence, and to evaluate its usefulness in supporting decision-making about a health intervention. A mixed-methods approach was used, and two versions of the tool were tested via two waves of participants (Wave 1, N=20; Wave 2, N=8). Participants completed their self-experiments and provided feedback via follow-up surveys (n=26) and interviews (n=20).
Findings indicated that the tool had high usability and low burden overall. Average survey completion rate was 91%, and compliance to protocol was 72%. Overall, participants found the experience useful to test if their chosen intervention helped them. However, there were discrepancies between participants’ intuition about intervention effect and results from analyses. Participants often relied on intuition/lived experience over results for decision-making. This suggested that the usefulness of Hack Your Health in its current form might be through the structure, accountability, and means for self-reflection it provided rather than the specific experimental design/results. Additionally, situations where performing interventions within a rigorous/restrictive experimental set-up may not be appropriate (e.g., when goal is to assess intervention enjoyment) were uncovered. Plausible design implications include: longer experimental and phase durations, accounting for non-compliance, missingness, and proximal/acute effects, and exploring strategies to complement quantitative data with participants’ lived experiences with interventions to effectively support decision-making. Future work should explore ways to balance scientific rigor with participants’ needs for such decision-making.
ContributorsPhatak, Sayali Shekhar (Author) / Buman, Matthew P (Thesis advisor) / Hekler, Eric B. (Committee member) / Huberty, Jennifer L (Committee member) / Johnston, Erik W., 1977- (Committee member) / Swan, Pamela D (Committee member) / Arizona State University (Publisher)
Created2019
Description
The purpose of this study was to examine the feasibility and preliminary efficacy of a theory-driven and a atheoretical reminder point-of-choice (PoC) prompt interventions on reducing workplace sedentary behavior in office workers with self-reported low usage (<4 hours per day) of their sit-stand workstations in the standing position. The design of this study was a cross-over trial including randomization into either the theory-driven or atheoertical reminder condition, after completion of a no prompt control condition. Participants (N=19) included full-time, primarily female, Caucasian, middle-aged office workers. The primary aim of this study was to assess the feasibility of these two PoC prompt conditions on reducing sedentary behaviors through the use of a Therapy Evaluation Questionnaire. The secondary aim of this study was to assess the preliminary efficacy of the two PoC prompt conditions on reducing sedentary behaviors relative to no-prompt control using the activPAL micro device. For the primary aim, descriptive means adjusted for ordering effect were computed. For the secondary aim, mixed-effects regression models were used to cluster for observations within-persons and were adjusted for age, gender, race, job-type, and ordering effects. During the no-prompt control, participants spent 267.90 ± 68.01 sitting and 170.20 ± 69.34 min/8hr workday standing. The reminder PoC prompt condition significantly increased sanding time (b[se] = 24.52 [11.09], p=0.034) while the theory-driven PoC condition significantly decreased time spent in long sitting bouts b[se] = -34.86 [16.20], p=0.036), both relative to no prompt control. No statistically significant reductions in sitting time were seen in either PoC prompt condition. Furthermore, no statistically significant differences between the two PoC prompt conditions were observed. This study provides feasibility insight in addition to objective measures of sedentary behaviors regarding the use of PoC prompt interventions in the workplace.
ContributorsLarouche, Miranda (Author) / Buman, Matthew P (Thesis advisor) / Ainsworth, Barbara E (Thesis advisor) / Huberty, Jennifer L (Committee member) / Arizona State University (Publisher)
Created2018
Description
This thesis consists of three projects employing complexity economics methods to explore firm dynamics. The first is the Firm Ecosystem Model, which addresses the institutional conditions of capital access and entrenched competitive advantage. Larger firms will be more competitive than smaller firms due to efficiencies of scale, but the persistence of larger firms is also supported institutionally through mechanisms such as tax policy, capital access mechanisms and industry-favorable legislation. At the same time, evidence suggests that small firms innovate more than larger firms, and an aggressive firm-as-value perspective incentivizes early investment in new firms in an attempt to capture that value. The Ecological Firm Model explores the effects of the differences in innovation and investment patterns and persistence rates between large and small firms.
The second project is the Structural Inertia Model, which is intended to build theory around why larger firms may be less successful in capturing new marketshare than smaller firms, as well as to advance fitness landscape methods. The model explores the possibility that firms with larger scopes may be less effective in mitigating the costs of cooperation because conditions may arise that cause intrafirm conflicts. The model is implemented on structured fitness landscapes derived using the maximal order of interaction (NM) formulation and described using local optima networks (LONs), thus integrating these novel techniques.
Finally, firm dynamics can serve as a proxy for the ease at which people can voluntarily enter into the legal cooperative agreements that constitute firms. The third project, the Emergent Firm model, is an exploration of how this dynamic of voluntary association may be affected by differing capital institutions, and explores the macroeconomic implications of the economies that emerge out of the various resulting firm populations.
The second project is the Structural Inertia Model, which is intended to build theory around why larger firms may be less successful in capturing new marketshare than smaller firms, as well as to advance fitness landscape methods. The model explores the possibility that firms with larger scopes may be less effective in mitigating the costs of cooperation because conditions may arise that cause intrafirm conflicts. The model is implemented on structured fitness landscapes derived using the maximal order of interaction (NM) formulation and described using local optima networks (LONs), thus integrating these novel techniques.
Finally, firm dynamics can serve as a proxy for the ease at which people can voluntarily enter into the legal cooperative agreements that constitute firms. The third project, the Emergent Firm model, is an exploration of how this dynamic of voluntary association may be affected by differing capital institutions, and explores the macroeconomic implications of the economies that emerge out of the various resulting firm populations.
ContributorsApplegate, Joffa Michele (Author) / Janssen, Marcus A (Thesis advisor) / Hoetker, Glenn (Committee member) / Johnston, Erik W., 1977- (Committee member) / Shutter, Shade (Committee member) / Arizona State University (Publisher)
Created2018
Description
Maricopa County is the home of the Phoenix metropolitan area, an expansive city with serious air quality concerns. To ameliorate air quality in the county, the Maricopa County Air Quality Department developed a website and mobile application called "Clean Air Make More" as a means of outreach and engagement. In doing this, the county has found a way to engender a bilateral relationship between individuals and their government agency. This study analyzes the effectiveness of Clean Air Make More in establishing this relationship and engaging the community in efforts to improve air quality. It concludes that the design of the application effectively meets user needs, but marketing efforts should target populations disposed to taking action regarding air quality.
ContributorsLapoint, Maggie Lane (Author) / Johnston, Erik W., 1977- (Thesis director) / Hondula, David M. (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / School of International Letters and Cultures (Contributor)
Created2015-05