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Doctor of Philosophy with a Major in Building Construction

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https://hdl.handle.net/1853/72547
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End date: 2009 × Start date: 2006 × search.filters.applied.f.isSeriesOfPublicationTitle: Building Construction Graduate Degree Program ×

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Now showing 1 - 5 of 5
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    Artificial neural network (ANN) based decision support model for alternative workplace arrangements (AWA): readiness assessment and type selection
    (Georgia Institute of Technology, 2009-11-11) Kim, Jun Ha
    A growing body of evidence shows that globalization and advances in information and communication technology (ICT) have prompted a revolution in the way work is produced. One of the most notable changes is the establishment of the alternative workplace arrangement (AWA), in which workers have more freedom in their work hours and workplaces. Just as all organizations are not good candidates for AWA adoption, all work types, all employees and all levels of facilities supports are not good candidates for AWA adoption. The main problem is that facility managers have no established tools to assess their readiness for AWA adoption or to select among the possible choices regarding which AWA type is most appropriate considering their organizations' business reasons or objectives of adoption and the current readiness levels. This dissertation resulted in the development of readiness level assessment indicators (RLAI), which measure the initial readiness of high-tech companies for adopting AWAs and the ANN based decision model, which allows facility managers to predict not only an appropriate AWA type, but also an anticipated satisfaction level considering the objectives and the current readiness level. This research has identified significant factors and relative attributes for facility managers to consider when measuring their organization's readiness for AWA adoption. Robust predictive performance of the ANN model shows that the main factors or key determinants have been correctly identified in RLAI and can be used to predict an appropriate AWA type as well as a high-tech company's satisfaction level regarding the AWA adoption.
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    Employee engagement model for the multi-family rental housing industry
    (Georgia Institute of Technology, 2009-03-23) Phillips, Deborah Ann
    Employee Engagement Model for the Multi-family Rental Housing Industry Deborah R. Phillips 238 Pages Directed by Roozbeh Kangari The multi-family rental housing industry has faced numerous challenges in the past decade. Increased competition, declining occupancy rates and higher operating expenses have forced management companies to re-examine their organizational strategies, particularly as it applies to its human capital. Employee engagement has become an emerging topic and shows that engaged employees perform better, put in extra effort to help get the job done, show a strong level of commitment to the organization, and are more motivated and optimistic about their work goals. Companies now recognize the value in fostering a climate in which engaged employees drive sales by creating loyal customers. However, despite documented support identifying the link between engaged employees and more impressive business outcomes, little research has concentrated on the special needs and challenges of the multi-family rental housing industry. Further, there are limited tools available to assist owners and managers with the task of identifying the drivers affecting employee engagement. An Employee Engagement Model (EEM) was developed to allow multi-family apartment rental property owners and managers to determine the percentage of satisfied residents for a given average level of engagement score. This research utilized statistical analysis, neural network techniques, and probabilistic modeling to develop the Employee Engagement Model. The Employee Engagement Model (EEM) offers new knowledge in the relationship between employee engagement and resident satisfaction in the multi-family rental housing industry. New knowledge may also be derived in correlations of certain aspects of employee engagement and the likelihood of residents extending their leases or referring others to his/her community, thus improving business performance. It is expected that the Employee Engagement Model (EEM) will provide useful feedback to multi-family professionals in their process of talent management. It is also expected that further discussions toward improvements in measuring employee engagement and its impact on satisfaction will be prompted by this research.
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    Impact to alternative contracting methods using multivariate analysis in the regulatory environment
    (Georgia Institute of Technology, 2008-06-24) Smith, Valerie Rose Riecke
    This research addresses legislative impediments inherent to working in the government construction industry by investigating whether benefits exist when using alternative project delivery methods, and whether legislative limitations allowing the use of alternative project delivery methods impede any such benefits from being realized. The research begins by defining the project delivery method process, and explains in detail the four primary types and how they function. The research then provides a qualitative study that presents the perceived advantages and disadvantages of each method. Then, a second literature review provides an overview of previously published research in project delivery method selection, and examines federal and state legislative trends to establish the growing debate associated with alternative project delivery methods, focusing on the design-build method of project delivery. Finally, a quantitative analysis is presented to test whether federal and state legislative limitations influence the realization of any benefits of alternative project delivery methods, and specifically design-build, for federal projects. Project characteristics from the U.S. General Services Administration Capital Construction Project database are tested. The research suggests that when an alternative project delivery method, specifically design-build, is chosen, there are benefits in time and cost savings, and the ability to use the alternative project delivery method is affected by the removal of federal and state legislative impediments.
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    Automation Performance Index
    (Georgia Institute of Technology, 2006-11-30) Makarechi, Shariar
    Automation is intended to improve overall building performance. Building Automation Systems (BAS) are attractive and popular due to their promise of increased operational effectiveness. BAS can be optimized and a well-designed and well-implemented BAS is expected to increase a buildings overall appeal and value as a result of improvement to its performance. In order to improve the level of automation in buildings, a measurement tool in the form of a performance index is needed. The goal of this research is to quantify a buildings level of automation-performance. The specific objective is to develop an Automation Performance Index (API) model for evaluating the extent of a buildings automation-performance. A methodology is outlined with ten tasks to accomplish the goals of this research and a criterion for each task is described. An extensive literature research and expert survey are performed to identify the key parameters that influence the performance of BAS. Seminars related to the building automation and commissioning fields were also attended to obtain the views of practitioners, manufacturers experts, as well as scholars in the field of building automation and performance commissioning. A Delphi method of research approach is conducted through a series of interviews and surveys of industry and academia experts. The feedback from experts and the research from literature, industry and academic resources are combined, classified and categorized for identification of significant parameters around which Automation Performance Index (API) model can be defined.
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    Is Building Construction Approaching the Threshold of Becoming Unsustainable: A Systems Theoretic Exploration towards a Post-Forrester Model for Taming Unsustainable Exponentialoids
    (Georgia Institute of Technology, 2006-11-15) Fernandez-Solis, Jose Luciano
    The construction industry is a major emissions contributor and a main resource consumer. Because of this, the industry is formulating short and long-term 'sustainability targets'. The trend points towards an unsustainable future, within the next 75 years, due to actual and projected increases in resource consumption and emissions generation in response to global population growth, and improving living standards, affluence. There are no reliable studies that predict whether the required reductions in ecological impacts can actually be realized, and if so, on what time scale. In fact, currently no available system representations of the industry can serve as the basis for studying long-term sustainability through the twenty-first Century. Hard dynamic systems, based on reductionism, are no longer adequate representations to study the dynamics of complex systems. A worldview that includes complexity requires foremost a philosophical induction (a theory) of the nature of all the forces that move the industry and a mechanism for understanding how complex forces aggregate and affect growth. The dissertation examines the current understanding of the Theories of Complexity in general, and in building construction, as preparation for a deeper understanding on how sustainability and its opposite, exponential growth (or "exponentialoid") relate. Guaranteeing sustainability transcends the current arsenal of counter measures such as LEED, high-performance measures, waste containment, conservation, lessening demand, renewable resourcing, greening of the industry, creation of high-performance buildings, penalizing the polluter, carbon trading, and others… Sustainability is re-framed as the (artificial) force that tames an unsustainable exponentialoid. Sustainable forces are represented by elements of influence acting like vectorials that appear to have identifiable origin, direction and magnitude. A hypothetical example of how the heuristic/theory works is presented, pending future studies (needed to supply the necessary data required for a working model). This is pre-paradigmatic work, using both a novel worldview and method of analysis that points to increasingly detailed research work to be performed in the future.