Matching Items (6)
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- All Subjects: Business
- Genre: Academic theses
- Creators: Wiezel, Avi
- Creators: Rund, James
- Status: Published
Description
Random Forests is a statistical learning method which has been proposed for propensity score estimation models that involve complex interactions, nonlinear relationships, or both of the covariates. In this dissertation I conducted a simulation study to examine the effects of three Random Forests model specifications in propensity score analysis. The results suggested that, depending on the nature of data, optimal specification of (1) decision rules to select the covariate and its split value in a Classification Tree, (2) the number of covariates randomly sampled for selection, and (3) methods of estimating Random Forests propensity scores could potentially produce an unbiased average treatment effect estimate after propensity scores weighting by the odds adjustment. Compared to the logistic regression estimation model using the true propensity score model, Random Forests had an additional advantage in producing unbiased estimated standard error and correct statistical inference of the average treatment effect. The relationship between the balance on the covariates' means and the bias of average treatment effect estimate was examined both within and between conditions of the simulation. Within conditions, across repeated samples there was no noticeable correlation between the covariates' mean differences and the magnitude of bias of average treatment effect estimate for the covariates that were imbalanced before adjustment. Between conditions, small mean differences of covariates after propensity score adjustment were not sensitive enough to identify the optimal Random Forests model specification for propensity score analysis.
ContributorsCham, Hei Ning (Author) / Tein, Jenn-Yun (Thesis advisor) / Enders, Stephen G (Thesis advisor) / Enders, Craig K. (Committee member) / Mackinnon, David P (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of this study was to measure the effect of gendered communication on women's behavioral intentions regarding nonprofit and for-profit entrepreneurship. Women represent half of the U.S. workforce, but only about one third of all American entrepreneurs are women. Feminists have argued that because entrepreneurship is largely understood as a masculine activity, women — who are predominantly socialized to espouse a feminine gender role — are less likely to become entrepreneurs. Previous scholarship and the particular theoretical lens of social feminism suggest that communication about entrepreneurship that is congruent with a feminine gender role would lead to the recruitment of a greater number of women entrepreneurs. Findings of the current study, however, suggested the opposite, providing support for poststructuralist feminist theory. Women who viewed a feminine entrepreneurship recruiting brochure about entrepreneurship reported themselves to be more feminine and less likely to report intentions to become entrepreneurs than women who viewed a masculine entrepreneurship recruiting brochure. These findings suggested that feminine communication may prime women to think of themselves as feminine, which may then lead them to view themselves as not masculine enough to be entrepreneurs. The applications of these findings stretch beyond engaging more women in entrepreneurship and also extend to scholarship that investigates gender's effects on women's pursuit of other masculine careers, including those in science, technology, engineering, and mathematics. Until the larger discourse on entrepreneurship changes to be inclusive of femininity, it is unlikely that strategies that feminize entrepreneurial activity in controlled situations will have an effect on changing the patterns of women's entrepreneurial intentions.
ContributorsIffert, Audrey (Author) / Montoya, Mitzi M. (Thesis advisor) / Rund, James (Thesis advisor) / Niemczyk, Mary (Committee member) / Arizona State University (Publisher)
Created2014
Description
Owner organizations in the architecture, engineering, and construction (AEC) industry are presented with a wide variety of project delivery approaches. Implementation of these approaches, while enticing due to their potential to save money, reduce schedule delays, or improve quality, is extremely difficult to accomplish and requires a concerted change management effort. Research in the field of organizational behavior cautions that perhaps more than half of all organizational change efforts fail to accomplish their intended objectives. This study utilizes an action research approach to analyze change message delivery within owner organizations, model owner project team readiness and adoption of change, and identify the most frequently encountered types of resistance from lead project members. The analysis methodology included Spearman's rank order correlation, variable selection testing via three methods of hierarchical linear regression, relative weight analysis, and one-way ANOVA. Key findings from this study include recommendations for communicating the change message within owner organizations, empirical validation of critical predictors for change readiness and change adoption among project teams, and identification of the most frequently encountered resistive behaviors within change implementation in the AEC industry. A key contribution of this research is the recommendation of change management strategies for use by change practitioners.
ContributorsLines, Brian (Author) / Sullivan, Kenneth (Thesis advisor) / Wiezel, Avi (Committee member) / Badger, William (Committee member) / Arizona State University (Publisher)
Created2014
Description
Qualifications based selection (QBS) of construction services uses a variety of criteria to evaluate proponents and select a contractor for the project. The criteria typically fall into three categories: past performance and technical capability, key personnel, and price, with price often being considered the most important factor in selection. Evaluation and the merits of the key personnel category is not well described or discussed in research. Prior research has investigated the evaluation criteria elements and their ability to differentiate proponents. This case study uses QBS evaluation data from fifty-eight construction projects to show that use of a structured interview process provides the highest level of differentiation of qualifications of proponents, as compared to the proposed price and the technical proposal. The results of the analysis also indicate: 1) the key personnel element (the interview) is statistically more important than price,
2) Contractors who propose on projects using QBS should use their best people in proposal response, and 3) Contractors should educate/prepare their teams for interviews, people count.
2) Contractors who propose on projects using QBS should use their best people in proposal response, and 3) Contractors should educate/prepare their teams for interviews, people count.
ContributorsSawyer, Jeff T (Author) / Sullivan, Kennth S (Thesis advisor) / Wiezel, Avi (Committee member) / Badger, William (Committee member) / Arizona State University (Publisher)
Created2014
Description
ABSTRACT The purpose of this study was to determine if a significant difference was found comparing posttest scores between students who took a career strategy course in a face-to-face (f2f) format (n=156) and students who took the same course in a new online format (n=64). A review of literature pertaining to online learning, career services on college campuses, and career classes was provided. Data was collected via an action research design utilizing an intervention of an online delivery format. A quasi-experimental design allowed descriptive data to be collected which was analyzed by use of independent-samples t-tests, comparison of means, and frequency analysis to gain data pertinent to the research question. Quantitative results in four areas: posttest scores, pretest scores, learning gain, and course evaluation data were provided. Pretest and subgroup analysis were also utilized to add richness to the data. Results found that the career strategy course delivered in an online delivery format resulted in no significant differences in posttest scores when compared to the f2f delivery method posttest scores. This result is in agreement with the literature in online learning delivery formats compared to f2f delivery formats. The results of this study showed evidence to support the continuation of new iterations of the online delivery method for the career strategy course used in the study. Implications of these findings were discussed for the researcher's local community of practice, the larger community of practice, collegiate career services, as well as possibilities for future experimentation in career services and strategic career courses with other online formats in the future.
ContributorsBurns, Kevin L (Author) / Ewing, Kris (Thesis advisor) / Rund, James (Committee member) / Mosco, Michele (Committee member) / Arizona State University (Publisher)
Created2011
Description
The workforce demographics are changing as a large portion of the population is approaching retirement and thus leaving vacancies in the construction industry. Succession planning is an aspect of talent management which aims to mitigate instability faced by a company when a new successor fills a vacancy. Research shows that in addition to a diminishing pool of available talent, the industry does not have widespread, empirically tested and implemented models that lead to effective successions. The objective of this research was to create a baseline profile for succession planning in the construction industry by identifying currently implemented best practices. The author interviewed six companies of varying sizes and demographics within the construction industry and compared their succession planning methodologies to identify any common challenges and practices. Little consensus between the companies was found. The results of the interviews were then compared to current research literature, but even here, little consensus was found. In addition, companies lacked quantitative performance metrics demonstrating the effectiveness, or ineffectiveness, of their current succession planning methodologies. The authors recommended that additional research is carried out to focus on empirical evidence and measurement of industry practices surrounding talent identification, development, and transition leading to succession.
ContributorsGunnoe, Jake A (Author) / Sullivan, Kenneth (Thesis advisor) / Wiezel, Avi (Committee member) / Kashiwagi, Dean (Committee member) / Arizona State University (Publisher)
Created2015