UMD Theses and Dissertations
Permanent URI for this collectionhttp://hdl.handle.net/1903/3
New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.
More information is available at Theses and Dissertations at University of Maryland Libraries.
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Item HISTORICAL EXPLANATION IN STRATEGY RESEARCH: LEARNING BY SCALING IN THE EARLY AMERICAN AUTOMOBILE INDUSTRY(2019) Devanatha Pillai, Sandeep; Goldfarb, Brent; Kirsch, David; Business and Management: Management & Organization; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This dissertation uses the historical explanation to engage in an abductive study of the early American automobile industry (1895-1918). The dissertation suggests that historical explanation is a valuable complement to abductive research. Historical explanation increases the number of hypotheses considered through the temporal perspective it offers and through contextualization. Historical explanation also adjudicates between likely hypotheses to determine the loveliest explanation by evaluating explanatory coherence and consilience. Further, the practical use of the historical explanation is demonstrated by analyzing the challenges that firms faced while attempting to scale manufacturing during the early American automobile industry (1895-1918). The analysis identifies metalworking knowledge as a specific pre-entry capability that mattered and demonstrates that process innovation is critical from a very early industry stage. Thus, this dissertation enhances strategy literature's understanding of why and how scholars should engage with historical explanation.Item Quantum Mechanics and Quantum Information Theory(2009) Van Camp, Wesley W.; Bub, Jeffrey; Philosophy; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The principle aim of this dissertation is to investigate the philosophical application of quantum information theory to interpretational issues regarding the theory of quantum mechanics. Recently, quantum information theory has emerged as a potential source for such an interpretation. The main question with which this dissertation will be concerned is whether or not an information-theoretic interpretation can serve as a conceptually acceptable interpretation of quantum mechanics. It will be argued that some of the more obvious approaches - that quantum information theory shows us that ultimately the world is made of information, and quantum Bayesianism - fail as philosophical interpretations of quantum mechanics. However, the information-theoretic approach of Clifton, Bub, and Halvorson introduces Einstein's distinction between principle theories and constructive theories, arguing that quantum mechanics is best understood as an information-theoretic principle theory. While I argue that this particular approach fails, it does offer a viable new philosophical role for information theory. Specifically, an investigation of interpretationally successful principle theories such as Newtonian mechanics, special relativity, and general relativity, shows that the particular principles employed are necessary as constitutive elements of a framework which partially defines the basic explanatory concepts of space, time, and motion. Without such constitutive principles as preconditions for empirical meaning, scientific progress is hampered. It is argued that the philosophical issues in quantum mechanics stem from an analogous conceptual crisis. On the basis of this comparison, the best strategy for resolving these problems is to apply a similar sort of conceptual analysis to quantum mechanics so as to provide an appropriate set of constitutive principles clarifying the conceptual issues at stake. It is further argued that quantum information theory is ideally placed as a novel conceptual framework from which to conduct this analysis.