@phdthesis{Selbach2005,
  author    = {Selbach, Ralph},
  title     = {Ver{\"a}nderung der Prozessabl{\"a}ufe durch die vollst{\"a}ndige Digitalisierung einer R{\"o}ntgenabteilung},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-23196},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2005},
  abstract  = {An der Missions{\"a}rztlichen Klinik erfolgte im April 2000 mit der Einf{\"u}hrung der digitale Lumineszenzradiographie (DLR), eines radiologischen Informationssystems (RIS) und eines Bildarchivierungs und -kommunikationssystems (PACS) die vollst{\"a}ndige Digitalisierung der R{\"o}ntgenabteilung. Die durch diese Umstellung bedingten zeitlichen Ver{\"a}nderungen der Prozessabl{\"a}ufe in der R{\"o}ntgenabteilung wurden untersucht. In Form einer Vorher-Nachher-Studie wurde 1999 im konventionellen und 2001 im digitalen Routinebetrieb eine Analyse der Prozessabl{\"a}ufe durchgef{\"u}hrt. Die Untersuchungsdauer f{\"u}r den Patienten verk{\"u}rzte sich signifikant. Die Aufnahmen k{\"o}nnen vom Zeitpunkt der Untersuchung an gerechnet im Mittel fr{\"u}her befundet werden. Die schriftlichen Befund sind schneller verf{\"u}gbar. Die Befundung am Monitor zeigte gegen{\"u}ber dem Alternator keine zeitlichen Nachteile. Die vollst{\"a}ndige Digitalisierung der R{\"o}ntgenabteilung f{\"u}hrte zu einer erhebliche Verk{\"u}rzung fast aller Arbeitsabl{\"a}ufe. Positive Auswirkungen auf die Prozessqualit{\"a}t des gesamten Krankenhauses gegen{\"u}ber dem konventionellen Film-Folien-Systemen sind zu erwarten.},
  language  = {de}
}
@phdthesis{Demmer2019,
  author    = {Demmer, Claudia},
  title     = {Merger-specific Efficiency Gains},
  doi       = {10.25972/OPUS-18392},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-183928},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {The present thesis analyzes whether and - if so - under which conditions mergers result in merger-specific efficiency gains. The analysis concentrates on manufacturing firms in Europe that participate in horizontal mergers as either buyer or target in the years 2005 to 2014. The result of the present study is that mergers are idiosyncratic processes. Thus, the possibilities to define general conditions that predict merger-specific efficiency gains are limited. However, the results of the present study indicate that efficiency gains are possible as a direct consequence of a merger. Efficiency changes can be measured by a Total Factor Productivity (TFP) approach. Significant merger-specific efficiency gains are more likely for targets than for buyers. Moreover, mergers of firms that mainly operate in the same segment are likely to generate efficiency losses. Efficiency gains most likely result from reductions in material and labor costs, especially on a short- and mid-term perspective. The analysis of conditions that predict efficiency gains indicates that firm that announce the merger themselves are capable to generate efficiency gains in a short- and mid-term perspective. Furthermore, buyers that are mid-sized firms are more likely to generate efficiency gains than small or large buyers. Results also indicate that capital intense firms are likely to generate efficiency gains after a merger. The present study is structured as follows. Chapter 1 motivates the analysis of merger-specific efficiency gains. The definition of conditions that reasonably likely predict when and to which extent mergers will result in merger-specific efficiency gains, would improve the merger approval or denial process. Chapter 2 gives a literature review of some relevant empirical studies that analyzed merger-specific efficiency gains. None of the empirical studies have analyzed horizontal mergers of European firms in the manufacturing sector in the years 2005 to 2014. Thus, the present study contributes to the existing literature by analyzing efficiency gains from those mergers. Chapter 3 focuses on the identification of mergers. The merger term is defined according to the EC Merger Regulation and the Horizontal Merger Guidelines. The definition and the requirements of mergers according to legislation provides the framework of merger identification. Chapter 4 concentrates on the efficiency measurement methodology. Most empirical studies apply a Total Factor Productivity (TFP) approach to estimate efficiency. The TFP approach uses linear regression in combination with a control function approach. The estimation of coefficients is done by a General Method of Moments approach. The resulting efficiency estimates are used in the analysis of merger-specific efficiency gains in chapter 5. This analysis is done separately for buyers and targets by applying a Difference-In-Difference (DID) approach. Chapter 6 concentrates on an alternative approach to estimate efficiency, that is a Stochastic Frontier Analysis (SFA) approach. Comparable to the TFP approach, the SFA approach is a stochastic efficiency estimation methodology. In contrast to TFP, SFA estimates the production function as a frontier function instead of an average function. The frontier function allows to estimate efficiency in percent. Chapter 7 analyses the impact of different merger- and firm-specific characteristics on efficiency changes of buyers and targets. The analysis is based on a multiple regression, which is applied for short-, mid- and long-term efficiency changes of buyers and targets. Chapter 8 concludes.},
  subject      = {Verarbeitende Industrie},
  language  = {en}
}