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    Konzeption eines Entscheidungsmodells für die beschaffungsfokussierte Anwendung modularer Baukästen am Beispiel der Automobilindustrie
    (2022-11)
    Neumann, Markus
    ;
    Kersten, Wolfgang
    Using the example of the automotive industry, a model concept based on an artificial neural network is being developed. Objective is, to improve the predictability of the cost-benefit effect of strategic purchasing decisions in the context of modularity. Based on a case study, a cost and complexity optimized recommendation set for purchasing is derived from the model results.
    Publicationtype: Doctoral Thesis
      227  1757
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    A methodology for the numeric time-cost forecast and pareto optimization of large Injection projects in tunneling
    (Technische Universität Hamburg, Institut für Geotechnik und Baubetrieb, 2021)
    Backhaus, Jan Onne
    ;
    Grabe, Jürgen
    This thesis deals with selecting, implementing, testing, and evaluating numerical methods to support large construction projects’ construction management. The methods are bundled in a tool, which uses real-time construction process data measured on the construction site to compute project time and cost forecasts. These predictions are then combined in a numerical optimization algorithm to determine the Pareto optimal number and operating time of construction site machinery.
    Publicationtype: Doctoral Thesis
      430  288
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    Simulation modelling in accounting and finance: current practices and advances in input modelling
    (2021)
    Chorzelski, Daniel
    ;
    Meyer, Matthias
    Simulation modelling in accounting and finance represents an important research method, this dissertation contributes to its understanding along several lines. It quantifies the method’s impact on the discipline, the type of usage among researchers as well as quantifying its diffusion across research clusters. Furthermore, this dissertation contributes to simulation input modelling with a method based on Bayesian updating that aggregates different information sources to be used in simulation models. Finally, this dissertation introduces a new metric that captures simulation modelling risk due to epistemic uncertainty of input parameters in a single number.
    Publicationtype: Doctoral Thesis
      333  2356
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    Which customers pay? predicting value pre and post sales
    (Springer, 2020)
    Beirau, David
    ;
    Lüthje, Christian
    Publicationtype: Doctoral Thesis
      88
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    Exploring the acceptance of ubiquitous computing-based Information services in brick and mortar retail environments - an integration of UTAUT2 and media system dependency theory
    (2018)
    Kheiravar, Sara
    ;
    Blecker, Thorsten
    The tendency of brick and mortar retailers to adopt digital technologies to assist the information search and evaluation of customers in brick and mortar retail referred to as in-store ubiquitous computing-based information technologies is growing. Yet, little is known about how customers would evaluate such technologies. In this dissertation, a context-specific model for the acceptance of the in-store ubiquitous computing-based information services is developed. UTAUT2 is modified and extended by germane user, service, and technology characteristics. A scenario-based survey study using PLS-SEM method is conducted to test the developed model. The results provide strong empirical support for the proposed model.
    Publicationtype: Doctoral Thesis
      787  1208
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    Entscheidungsfindung in der humanitären Logistik - Ein multikriterielles Transshipmentmodell zur Allokation von Hilfsgütern in laufenden Hilfsaktionen
    (2016-07-06)
    Rottkemper, Beate
    ;
    Fischer, Kathrin
    Humanitarian relief operations rarely proceed smoothly and disruptions as, e.g., the outbreak of an epidemic or aftershocks, are common. Such situations are known as overlapping disasters. Relief organizations have to deal with the disruptions while at the same time the ongoing relief operation has to proceed. As future developments are uncertain, the aim cannot be to determine a unique optimal solution. Rather, various scenarios are formulated, representing possible developments of the situation. A multi-objective transshipment model is formulated to find efficient allocations of relief items for different scenarios. The model mHumLog is solved by two solution methods both considering uncertainties about future developments. Different indicators are developed for evaluating the scenarios in order to find appropriate decision rules to support the aid worker in allocating relief items.
    Publicationtype: Doctoral Thesis
      1038  1969