Exploring Viable Methods of Evaluating and Computing Vehicular Drag and Rolling Friction Force Coefficients by Applying Principles of Geometric Similitude

The current study focuses on simple methods of quantifying vehicular drag and rolling resistance coefficients. It highlights the relationship between the drag coefficients (CD) of two models of varying scales but sharing geometric and dynamic similitude and also describe a simple, small scale and low cost, yet comprehensive approach to quantifying the automotive coefficient of Rolling Resistance or Friction (Crr), also known as the Rolling Resistance Coefficient (or RRC). Applying principles of fluid mechanics, especially Bernoulli's law and by scaling models using Reynold's Number (Re) and the Buckingham Pi Theorem at varying velocities u0, drag forces, the drag forces FD were supplemented by conducting simple wind tunnel tests. Real drag analysis show a 10% deviation from the literature data, contributed to negligence of the governing flow equations of Navier Stokes, such as modeling principles relative to turbulence. Some computational flow modeling principles were briefly discussed. For rolling friction coefficient method, coast down and dynamic speed trap tests of scaled models were conducted under varying body weighted conditions to converge on the value, where a high speed camera monitored the motion of the vehicle. The experiment produced different equations of motion which were then solved analytically by numerical analysis techniques to compute the rolling friction coefficient. Initial guesses in the least square optimization iterations provided coefficient values where drag forces were normalized (Crr of 0.0116). Studies were compared with literature and direct scaling abilities were attributed for quantifying the normalized value

Gender gaps and reentry into entrepreneurial ecosystems after business failure

Despite the significant role played by serial entrepreneurs in the entrepreneurial process, we know little about group differences in reentry decisions after business failure. Using an ecosystems framework and stigma theory, we investigate the variance in gender gaps related to the reentry decisions of 8,171 entrepreneurs from 35 countries who experienced business failures. We find evidence of persisting gender gaps that vary across ecosystem framework conditions of public stigma of business failure and public fear of business failure. Our findings shed new light on ecosystem inefficiencies that arise from multiple interactions between entrepreneurs and institutions

Of floods and gales: environmental value creation due to creative destruction

Title from PDF of title page viewed May 14, 2020Dissertation advisor: Brian S. AndersonVitaIncludes bibliographical references (page 191-204)Thesis (Ph.D.)--Henry W. Bloch School of Management. University of Missouri--Kansas City, 2019Recent discussions on environmental issues, such as global climate change, implicates many of the wider processes studied by scholars in the management sciences. As a result, there has been considerable debate regarding the boundary conditions of topics such as environmental sustainability as a distinct field of study within management, especially given the ongoing mismatch between existing epistemological lines of enquiry and traditional reliance on different analyses levels in prior work. If topics such as environmental entrepreneurship and corporate sustainability are theoretically distinct from wider management sciences, what limits this argument further is a general lack of agreed upon outcome criteria and an absence of an appropriate dependent variable. Thus, what is still needed is an elaboration on the ecological outcomes of different organizational behaviors and choices. Without such an appropriate construct to guide research efforts, scholars may risk diverging in their collective understanding of the phenomenon, missing important near-term research questions or misleading future scholarship altogether. The purpose of the present dissertation is to derive a delineated outcome measure of sustainability - namely, environmental value creation, from the existing body of interdisciplinary research on the topic from a management standpoint. I analyze organization-level data on resource consumption, meso-level firm entry data, macro-level economic data and energy-based emissions data to model the spatio-temporal interactions. With an emphasis on energy, this dissertation tests and models the effects of various interventions considering the spatial and temporal heterogeneity in subsequent ecological outcomes. I limit the definition of environmental sustainability within discussions of energy-based carbon emissions that drives global climate change. The theoretical derivation and empirical conceptualization contain herein not only contributes by extending the discussion of environmental sustainability within management as a unique stream of research but enables the exploration of new research questions within the broader field through its use in future research designs and studies.Introduction -- Theory and model -- Empirical illustration of the model -- Results and discussion -- Conclusion -- Appendix A. Data manipulation and model preparation -- Appendix B. Adding controls -- Appendix C. Creating model