Matching Items (4)
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- All Subjects: Satisfaction
- Creators: Berger, Christopher
- Creators: Alozie, Nicholas O
- Creators: Benton, J
Description
Government performance and accountability have grown to be predominant areas within public administration literature over the last forty years. The research presented in this dissertation examines the relationship between citizen satisfaction and local government performance. Citizen review of service delivery provides vital feedback that facilitates better resource management within local government. Using data from a single jurisdiction, two aspects of citizen satisfaction are reviewed. This includes citizen review of overall city performance, and citizen satisfaction with individual service delivery. Logit regression analysis is used to test several factors that affect citizen evaluation of service delivery in local government, while ordinary least squares regression is used to test the relationship between personal factors and citizen evaluation of specific local services. The results generated four major findings that contribute to the scholarly body of knowledge and local government knowledge application. First, citizens who are predisposed to supporting the local jurisdiction are more likely to rate service delivery high. Second, customer service is important. Third, those who experience government services similarly will collectively react similarly to the service experience. Finally, the length of residency has an impact on satisfaction levels with specific services. Implications for the literature as well as for practice are discussed.
ContributorsMcNamara, Catherine (Author) / Alozie, Nicholas O (Thesis advisor) / Cayer, Joseph (Thesis advisor) / Lucio, Joanna (Committee member) / Arizona State University (Publisher)
Created2012
Description
Automated planning problems classically involve finding a sequence of actions that transform an initial state to some state satisfying a conjunctive set of goals with no temporal constraints. But in many real-world problems, the best plan may involve satisfying only a subset of goals or missing defined goal deadlines. For example, this may be required when goals are logically conflicting, or when there are time or cost constraints such that achieving all goals on time may be too expensive. In this case, goals and deadlines must be declared as soft. I call these partial satisfaction planning (PSP) problems. In this work, I focus on particular types of PSP problems, where goals are given a quantitative value based on whether (or when) they are achieved. The objective is to find a plan with the best quality. A first challenge is in finding adequate goal representations that capture common types of goal achievement rewards and costs. One popular representation is to give a single reward on each goal of a planning problem. I further expand on this approach by allowing users to directly introduce utility dependencies, providing for changes of goal achievement reward directly based on the goals a plan achieves. After, I introduce time-dependent goal costs, where a plan incurs penalty if it will achieve a goal past a specified deadline. To solve PSP problems with goal utility dependencies, I look at using state-of-the-art methodologies currently employed for classical planning problems involving heuristic search. In doing so, one faces the challenge of simultaneously determining the best set of goals and plan to achieve them. This is complicated by utility dependencies defined by a user and cost dependencies within the plan. To address this, I introduce a set of heuristics based on combinations using relaxed plans and integer programming formulations. Further, I explore an approach to improve search through learning techniques by using automatically generated state features to find new states from which to search. Finally, the investigation into handling time-dependent goal costs leads us to an improved search technique derived from observations based on solving discretized approximations of cost functions.
ContributorsBenton, J (Author) / Kambhampati, Subbarao (Thesis advisor) / Baral, Chitta (Committee member) / Do, Minh B. (Committee member) / Smith, David E. (Committee member) / Langley, Pat (Committee member) / Arizona State University (Publisher)
Created2012
Description
The purpose of this study was to assess usage and satisfaction of a large university recreation fitness center. Data from 471 respondents was collected during Spring 2018. Although users were satisfied overall, we obtained useful information to guide center administration towards improved usage rates and experiences for users of the center.
ContributorsOlson, Dane (Author) / Berger, Christopher (Thesis director) / Stufken, John (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Injury, a prevalent issue in Division I collegiate sports, can have negative mental and physical implications. It is thought that certain modifiable biomechanical factors such as muscle imbalance, alterations in posture, flexibility, and movement dysfunction can increase an athlete's risk of injury. It is imperative to implement a protocol that monitors athletes' functional capabilities and improves movement patterns upon identifying dysfunction to not only reduce the risk of injury, but also to promote and maintain high performance standards. This project studied the effect of a corrective exercise regimen on Functional Movement Screen (FMS) and range of motion (ROM) scores of the Arizona State University baseball team.
ContributorsVallejos, Danielle Alicia (Author) / Feser, Erin (Thesis director) / Berger, Christopher (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12