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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

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
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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

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
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Description
The Chinese capital market is characterized by high segmentation due to governmental regulations. In this thesis I investigate both the causes and consequences of this market segmentations. Specifically, I address the following questions: (1) to which degree this capital market segmentation is caused by the fragmented regulations in China, (2)

The Chinese capital market is characterized by high segmentation due to governmental regulations. In this thesis I investigate both the causes and consequences of this market segmentations. Specifically, I address the following questions: (1) to which degree this capital market segmentation is caused by the fragmented regulations in China, (2) what are the key characteristics of this market segmentation, and (3) what are the impacts of this market segmentation on capital costs and resources allocations. Answers to these questions can have important implications for Chinese policy makers to improve capital market regulatory coordination and efficiency. I organize this thesis as follows. First, I define the concepts of capital market segmentation and fragmented regulation based on literature reviews and theoretical analysis. Next, on the basis of existing theories and methods in finance and economics, I select a number of indicators to systematically measure the degree of regulatory segmentation in China’s capital market. I then develop an econometric model of capital market frontier efficiency analysis to calculate and analyze China’s capital market segmentation and regulatory fragmentation. Lastly, I use the production function analysis technique and the even study method to examine the impacts of fragmented regulatory segmentation on the connections and price distortions in the equity, debt, and insurance markets. Findings of this thesis enhance the understanding of how institutional forces such as governmental regulations influence the function and efficiency of the capital markets.
ContributorsJia, Shaojun (Author) / Hwang, Yuhchang (Thesis advisor) / Chen, Hong (Committee member) / Wahal, Sunil (Committee member) / Arizona State University (Publisher)
Created2015
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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

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.
ContributorsSawyer, Jeff T (Author) / Sullivan, Kennth S (Thesis advisor) / Wiezel, Avi (Committee member) / Badger, William (Committee member) / Arizona State University (Publisher)
Created2014
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Description
Although China’s economy has experienced fast growth over the years, it is also characterized by a lack of innovative products and slow development of advanced production technologies. A main reason for this problem is insufficient investments in research and development (R&D) activities by Chinese firms. Because of the potential externality

Although China’s economy has experienced fast growth over the years, it is also characterized by a lack of innovative products and slow development of advanced production technologies. A main reason for this problem is insufficient investments in research and development (R&D) activities by Chinese firms. Because of the potential externality and free-rider effects, the economics literature has long suggested that the private sector tends to underinvest in R&D without governmental interventions. The weak protection of intellectual property rights in China makes the problem of underinvestment in R&D even worse. In this situation, it becomes increasingly important for the government to provide incentives such as subsidies on R&D investments, given that R&D investments are critical to the development of new technologies and the sustainable growth of the economy.

In this study I investigate how governmental subsidies on R&D influence Chinese firms’ R&D investments and performance. Specifically, I want to find out (1) whether governmental subsidies promote or hinder firms’ R&D investments, and (2) whether governmental subsidies have differential effects on financial performance across different types of firms. My goal is to better understand the effects of governmental subsidies on Chinese firms. To achieve this goal, I first conduct an extensive review of the relevant literature and then develop a conceptual model about the determinants of governmental subsidies on R&D in China. Next, I conduct empirical analysis using data collected from all the firms listed in the Shanghai Stock Changes and Shenzhen Stock Exchanges during the period of 2009 to 2012. Overall, my findings show that governmental subsidies on R&D have a positive impact on R&D investments by the listed firms. Meanwhile, I find that this positive impact varies significantly across different types of firms, particularly among firms that are still largely owned by the state. I conclude this study with a discussion of its implications for governmental policies on R&D investments.
ContributorsYang, Guisheng (Author) / Hwang, Yuhchang (Thesis advisor) / Wang, Tan (Committee member) / Pei, Ker-Wei (Committee member) / Arizona State University (Publisher)
Created2015
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Description
State-owned Enterprises (SOE) in China were described as Government Business Enterprises (GBE) in planned economy time. Not only as investor and owner, but also manager, government at that time was an all-powerful role in GBE. All factors of production, such as money, raw materials, production, sell, human affairs, were all

State-owned Enterprises (SOE) in China were described as Government Business Enterprises (GBE) in planned economy time. Not only as investor and owner, but also manager, government at that time was an all-powerful role in GBE. All factors of production, such as money, raw materials, production, sell, human affairs, were all decided by administrative orders. After reform and opening up, especially since 90s of last century, some related laws, including The Companies Act, were gradually promulgated and carried out, State-owned Enterprises have been found fairly like modern enterprises in appearance, but observe carefully, you will find that with the growing up of the market mechanism, Non-market mechanism still exists stubbornly during the whole company's actual operation.

This study focus on two cases of State-owned Enterprises, which are administrated by myself. Trying to find out the difference in business efficiency and group cohesiveness, this study examines the effects of the market mechanism and non-market mechanism, which are respectively operated as a pivotal figure in the two companies. Under the background of the social transformation and State-owned Enterprises’ deepen reform, for stimulating the vitality and efficiency of companies, this study tries to find an optimization management model for State-owned Enterprises.
ContributorsShi, Lei (Author) / Hwang, Yuhchang (Thesis advisor) / Chang, Chun (Thesis advisor) / Chen, Hong (Committee member) / Arizona State University (Publisher)
Created2015
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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

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
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Description
Accompanying with the development of economy system and the completion of legal framework, Chinese domestic PE industry not only transfused vigor and vividness to capital market, but also generated contribution to substantial economy with a rapid pace in recent decades.

Depending on the first move advantage and

Accompanying with the development of economy system and the completion of legal framework, Chinese domestic PE industry not only transfused vigor and vividness to capital market, but also generated contribution to substantial economy with a rapid pace in recent decades.

Depending on the first move advantage and an affinity with Chinese government, PE industry initially was led by state-owned enterprises. However, these non-market-oriented PE institutions confronted challenge from the perspective of culture, structure and mechanism and crises of outflow of human capital and lacking capability of sustainable development while private section and foreign capital enter the market.

Based on the figure of PE investment and the pattern of historical development in foreign and domestic market, this article specifically analyzed the history of state-backed PE industry‘s development and both advantage and disadvantage of state-backed PE institutions according to real cases intending to improve the competitive strength of state-backed enterprises and to promote a state-backed PE institutions to world-class enterprises through the application of a multi-dimensional stock equity structure, the advantage in accessibility of resource as state-backed enterprises, a market-oriented system and the ability of key staffs.
ContributorsChen, Zhihai (Author) / Wang, Tan (Thesis advisor) / Hwang, Yuhchang (Thesis advisor) / Chen, Hong (Committee member) / Arizona State University (Publisher)
Created2015