Matching Items (7)
Filtering by
- All Subjects: Project management
- Genre: Academic theses
- Creators: Sullivan, Kenneth
- Creators: Enders, Stephen G
Description
The construction industry in India suffers from major time and cost overruns. Data from government and industry reports suggest that projects suffer from 20 to 25 percent time and cost overruns. Waste of resources has been identified as a major source of inefficiency. Despite a substantial increase in the past few years, demand for professionals and contractors still exceeds supply by a large margin. The traditional methods adopted in the Indian construction industry may not suffice the needs of this dynamic environment, as they have produced large inefficiencies. Innovative ways of procurement and project management can satisfy the needs aspired to as well as bring added value. The problems faced by the Indian construction industry are very similar to those faced by other developing countries. The objective of this paper is to discuss and analyze the economic concerns, inefficiencies and investigate a model that both explains the Indian construction industry structure and provides a framework to improve efficiencies. The Best Value (BV) model is examined as an approach to be adopted in lieu of the traditional approach. This could result in efficient construction projects by minimizing cost overruns and delays, which until now have been a rarity.
ContributorsNihas, Syed (Author) / Kashiwagi, Dean (Thesis advisor) / Sullivan, Kenneth (Committee member) / Kashiwagi, Jacob (Committee member) / Arizona State University (Publisher)
Created2013
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
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
The construction industry is performing poorly regarding project management and service delivery. On average, global projects are over-budget, delayed, and met with unsatisfactory results according to buyers. To mitigate poor performance, the project management career path has been heavily researched and continually developed over the last century. Despite the published advances in project management approaches and tools, project performance continues to suffer. This research seeks to conduct an exploratory analysis of current project management and other approaches and determine how they affect project performance. Through a detailed literature search, the researcher identified a procurement model that is more heavily documented as high performing than all other approaches. The researcher proposed that this model may be a solution to assist project managers with the delivery of high performing services. The model is called the Best Value Approach (BVA). The BVA focuses on leadership, non-technical communication, quality assurance, and transparent project execution. To test the effectiveness of its practices, the researcher modified and adapted the BVA into a project management approach and tested it on a large-scale government project. During the case study test, the researcher observed that there were two primary project management roles in the supply chain; the buyer’s and vendor’s project managers. The case study resulted in the large government organization receiving more work and increased their satisfaction of the work received by 22 percent from the previous year. To further test the project management adapted BVA, the researcher conducted a classroom case-study in which students learned and implemented the BVA practices on real-time, small-scale industry projects. Results include cost savings of $100,000 for 10 companies over 24 projects, cost avoidance of over $4.5M, and a 9.8/10 customer satisfaction [in terms of the companies’ satisfaction with the deliverables produced on each project]. These results suggest that the BVA practices may effectively improve the performance of project delivery, and may be a viable new project management approach to train future project managers. Out of the two project manager roles, it is proposed that the buyer’s project manager may receive the most benefit. Additional research is needed on the other approaches to compare quantitative project performance, and run repeated testing on the potential new project management approach.
ContributorsRivera, Alfredo Octavio (Author) / Badger, William (Thesis advisor) / Sullivan, Kenneth (Thesis advisor) / Kashiwagi, Jacob S (Committee member) / Arizona State University (Publisher)
Created2017
Description
The discipline of continuing professional development (CPD) is well defined and established within a variety of industries, such as medical, legal, and financial. The built environment is a less defined and mature industry with respect to educational pathways and professional education, with no uniform structure. Occupational licensing, such as registered nurses, certified professional accountants, and others are well known within both their industries and the public. Additionally, occupational core-competencies are well established. Planning is a core skill set within the built environment and construction management. Definitions of the term “planning” vary quite broadly across the built environment, but generally includes activities such as risk identification, scope identification, and scheduling. Understanding how professionals in the built environment learn to plan is critical to meeting CPD needs for planning skills and the ability of a professional to “plan” effectively. Many planning tools and software have been developed, but often rely on an individual professional’s personal experiences and abilities. Limited literature in the field of professional education in the built environment has left a gap on the topic of how to train professionals in planning competencies. Survey results indicate that current training is not meeting the expectations of professionals, as only 16 percent of professionals are trained how to plan using their preferred method of learning. While on-the-job training is the primary format, the most preferred format is internal company training, but only 54 percent of companies provide this format. Mann-Whitney U and Kruskal Wallis tests were conducted and revealed that organizations with internal training programs have higher employee satisfaction with their organization’s planning process. Further, organizations with internal training programs are seen as having a more formal internal planning process. Research is needed to develop CPD within construction management and provide the foundation upon which a professional education structure can be created. An andragogically-centered schema for a heuristic approach to construction CPD is developed and tested on a seminar for pre-project planning. The full instructional design of the seminar using the model is disclosed and seminar results showed positive results and participants achieved high levels of learning.
ContributorsHurtado, Kristen (Author) / Sullivan, Kenneth (Thesis advisor) / Wiezel, Avi (Committee member) / Badger, William (Committee member) / Arizona State University (Publisher)
Created2018
Description
The workforce demographics in the United States are rapidly changing. According to census information, 35% of working adults are project to retire within the next 20 years. The construction is being particularly affected by this demographic shift as fewer employees are entering into the industry. This shift is especially bad among project professionals within the industry. The response to these changing demographics depends on how companies manage their talent and plan for successions. In order to investigate this workforce problem in the construction industry, the author has partnered with an expert panel of human resource executives from various companies in the construction industry. This research seeks to investigate methods in which construction companies can identify high potential project leaders early on in their careers through quantitative methodologies. The author first validated the research problem by gathering demographic data from six U.S. construction companies varying in size and industry expertise. As a result of analyzing information from 2,294 construction employees in the project management career path, the authors have found that 58% of these individuals are projected to retire within the next 12 years. The author also conducted a detailed literature review and six company interviews to investigate current succession planning practices in the industry. The results show that very few companies have contingency plans for early to mid-level employees. Lastly, the author conducted 76 employee psychological evaluations to measure personality and behavior traits. These traits were then compared to supervisory performance reviews of these employees. The results of this comparison suggest that high potential employees tend to showcase previous leadership experience and also tend to be more outspoken and are also able to separate their emotional bias from business decisions. Using these findings, the author provides an interview tool that employers can use to expand their talent pool in order to identify high potential candidates that may have been previously overlooked. The author recommends additional research in further developing the use of quantitative tools to evaluate early-career employees in order to more efficiently align resources within the shrinking talent pool.
ContributorsGunnoe, Jake Alan (Author) / Sullivan, Kenneth (Thesis advisor) / Wiezel, Avi (Thesis advisor) / Kashiwagi, Dean T. (Committee member) / Arizona State University (Publisher)
Created2017
Description
Public construction projects in Saudi Arabia have been experiencing performance issues for the past 30 years. There have been many research efforts and publications identifying the problem and potential causes, however, there have been minimal efforts identifying how to mitigate the problem and testing to validate proposed solutions. A literature search has shown that the academic research has had minimal impact in assisting the construction industry to improve its performance. This dissertation aimed to evaluate the impact of construction management research in Saudi construction industry (SCI), and to investigate barriers that hinder the diffusion of implementing the research outcomes in the construction sector in order to develop a research roadmap to bridge the gap between academic research and practice, using the experience of other organizations that have a successful experience in developing the impact of construction management research in the construction industry. In order to achieve the aim of the study, five main objectives were set up which are: evaluate the impact of construction management research in SCI, identify the barriers that affect the implementation of construction management research in SCI, develop a research roadmap to bridge the gap between the research and practice, validating the proposed solution, and proposed implementation plan and review the result from the implementation. A literature research was performed, using 5 academic databases, identifying the impact that R&D has had on the SCI. A questionnaire was also created surveying both researchers and industry professionals. The results show evidence that the current R&D process in Saudi Arabia is not helping the SCI to increase their performance, and needs to be improved. This study provides a potential solution, and an action plan that mirrors one of the most successful research and development programs in the construction industry in the world [+1915 tests, six different countries, 31 states in the U.S. and 98% customer satisfaction]. The solution proposed in this dissertation is unique to the strengths and weaknesses of the research and development programs at universities and research centers in Saudi Arabia. This study is the first study of its kind in Saudi Arabia.
ContributorsAlhammadi, Yasir (Author) / Kashiwagi, Dean (Thesis advisor) / Badger, William (Committee member) / Sullivan, Kenneth (Committee member) / Arizona State University (Publisher)
Created2017