Computer Integrated Business: Theoretische und empirische Analyse der bisherigen Ansätze und zukünftigen Perspektiven

Die Arbeit stellt einen strukturellen Rahmen zur Einordnung sowohl bisheriger als auch zukünftiger organisationstheoretischer und DV-technologischer Entwicklungen zur Umsetzung eines Computer Integrated Business (CIB) bereit. Dazu analysiert sie bisherige Ansätze und zukünftige Perspektiven eines CIB mittels theoretischer und empirischer Bearbeitungsverfahren. Die Notwendigkeit zur Unternehmensintegration ergibt sich aus dem betriebswirtschaftlichen Konzept der Arbeitsteilung, über die das Phänomen der Economies of Scale erschlossen wird. Die Arbeitsteilung wurde zum Gestaltungskonzept in den Fabriken der industriellen Revolution. Komplexe Arbeitsgänge wurden in spezialisierte Teilaufgaben zerlegt und nach Möglichkeit auf maschinelle bzw. technologische Potentiale übertragen. Die Zielsetzung lag zunächst in der Automatisierung des Materialflusses, während der Informationsfluss noch lange Zeit im Hintergrund stand. Mittlerweile ermöglichen leistungsfähige DV-Systeme auch die Automatisierung des Informationsflusses und damit die DV-gestützte Integration des Unternehmens, die den Kern des CIB-Konzeptes darstellt. Das CIB-Konzept wurde Ende der achtziger Jahre am Fraunhofer-Institut für Arbeitswirtschaft und Organisation als Erweiterung des Computer Integrated Manufacturing (CIM) für Industrieunternehmen von Bullinger geprägt, jedoch in seiner Zielsetzung als Modell zur Totalintegration von Unternehmen danach nicht maßgeblich weiterentwickelt. Vielmehr wurden in der Folgezeit überwiegend Teilintegrationslösungen diskutiert, wie z. B. Konzepte zur Integration der Fertigung oder zur Unterstützung der Teamarbeit. Der Aspekt der umfassenden, unternehmensinternen Integration rückte Mitte der neunziger Jahre durch die an Popularität gewinnende Internet-Technologie an den Rand der wissenschaftlichen Diskussion. Erst nach dem Zusammenbruch der ersten Internet-Euphorie und der anschließenden wirtschaftlichen Rezession gewann das Integrationsthema am Anfang dieses Jahrzehnts mit Hinblick auf dadurch mögliche Kostenvorteile wieder an Bedeutung. Die Diskussion wurde jedoch mit starkem technologischem Fokus geführt (z. B. zum Thema Enterprise Application Integration) und Aspekte der Unternehmensorganisation wurden bestenfalls grob, jedoch nicht im Detail diskutiert. Die vorliegende Arbeit bearbeitet die CIB-Thematik umfassend sowohl aus unternehmensorganisatorischer als auch DV-technologischer Sicht und bewegt sich deshalb interdisziplinär zwischen den Wissenschaftsbereichen der Betriebswirtschaft und der Informatik. Die Untersuchung wird vor dem Hintergrund einer sozio-technologischen Unternehmensorganisation geführt, in der DV-technologische Potentiale neben humanen Potentialen zur Erreichung der Unternehmensziele eingesetzt werden. DV-technologische Potentiale übernehmen darin einerseits Integrationsaufgaben und werden andererseits aber selbst zum Integrationsziel. Die Herausforderung für die Unternehmensführung besteht in der Konfiguration des CIB und im Finden eines Gleichgewichts zwischen Arbeitsteilung und Integration auf der einen sowie humanen und technologischen Potentialen auf der anderen Seite, letztendlich aber auch in der Automatisierung der Integration. Die Automatisierung der Integration stellt mit Hinblick auf die durch Umweltveränderungen bedingte Konfigurationsanpassung ein bisher konzeptionell nur ansatzweise gelöstes Problem dar. Der technologischen Integrationsarchitektur sowie den verwendeten Methoden des Prozessdesigns und der Software-Entwicklung kommt bei der Lösung dieses Problems eine hohe Bedeutung zu. Über sie bestimmt sich die Anpassungsfähigkeit und geschwindigkeit des CIB. Es kann vermutet werden, dass eine Lösung jedoch erst erreicht wird, wenn sich die Unternehmensorganisation vom Konzept der zentralen Koordination abwendet und stattdessen an dezentralen Koordinationsmechanismen unter Verwendung ultrastabiler Anpassungsprogramme orientiert, wie sie z. B. in der Biologie bei Insektenkulturen untersucht wurden.

A computer-algebraic approach to the study of the symmetry properties of molecules and clusters

This thesis work is dedicated to use the computer-algebraic approach for dealing with the group symmetries and studying the symmetry properties of molecules and clusters. The Maple package Bethe, created to extract and manipulate the group-theoretical data and to simplify some of the symmetry applications, is introduced. First of all the advantages of using Bethe to generate the group theoretical data are demonstrated. In the current version, the data of 72 frequently applied point groups can be used, together with the data for all of the corresponding double groups. The emphasize of this work is placed to the applications of this package in physics of molecules and clusters. Apart from the analysis of the spectral activity of molecules with point-group symmetry, it is demonstrated how Bethe can be used to understand the field splitting in crystals or to construct the corresponding wave functions. Several examples are worked out to display (some of) the present features of the Bethe program. While we cannot show all the details explicitly, these examples certainly demonstrate the great potential in applying computer algebraic techniques to study the symmetry properties of molecules and clusters. A special attention is placed in this thesis work on the flexibility of the Bethe package, which makes it possible to implement another applications of symmetry. This implementation is very reasonable, because some of the most complicated steps of the possible future applications are already realized within the Bethe. For instance, the vibrational coordinates in terms of the internal displacement vectors for the Wilson's method and the same coordinates in terms of cartesian displacement vectors as well as the Clebsch-Gordan coefficients for the Jahn-Teller problem are generated in the present version of the program. For the Jahn-Teller problem, moreover, use of the computer-algebraic tool seems to be even inevitable, because this problem demands an analytical access to the adiabatic potential and, therefore, can not be realized by the numerical algorithm. However, the ability of the Bethe package is not exhausted by applications, mentioned in this thesis work. There are various directions in which the Bethe program could be developed in the future. Apart from (i) studying of the magnetic properties of materials and (ii) optical transitions, interest can be pointed out for (iii) the vibronic spectroscopy, and many others. Implementation of these applications into the package can make Bethe a much more powerful tool.

An introduction to ordinary differential equations by computer algebra-systems

We report on an elementary course in ordinary differential equations (odes) for students in engineering sciences. The course is also intended to become a self-study package for odes and is is based on several interactive computer lessons using REDUCE and MATHEMATICA . The aim of the course is not to do Computer Algebra (CA) by example or to use it for doing classroom examples. The aim ist to teach and to learn mathematics by using CA-systems.

Capturing Emergent Semantics from Social Annotation Systems

The ongoing growth of the World Wide Web, catalyzed by the increasing possibility of ubiquitous access via a variety of devices, continues to strengthen its role as our prevalent information and commmunication medium. However, although tools like search engines facilitate retrieval, the task of finally making sense of Web content is still often left to human interpretation. The vision of supporting both humans and machines in such knowledge-based activities led to the development of different systems which allow to structure Web resources by metadata annotations. Interestingly, two major approaches which gained a considerable amount of attention are addressing the problem from nearly opposite directions: On the one hand, the idea of the Semantic Web suggests to formalize the knowledge within a particular domain by means of the "top-down" approach of defining ontologies. On the other hand, Social Annotation Systems as part of the so-called Web 2.0 movement implement a "bottom-up" style of categorization using arbitrary keywords. Experience as well as research in the characteristics of both systems has shown that their strengths and weaknesses seem to be inverse: While Social Annotation suffers from problems like, e. g., ambiguity or lack or precision, ontologies were especially designed to eliminate those. On the contrary, the latter suffer from a knowledge acquisition bottleneck, which is successfully overcome by the large user populations of Social Annotation Systems. Instead of being regarded as competing paradigms, the obvious potential synergies from a combination of both motivated approaches to "bridge the gap" between them. These were fostered by the evidence of emergent semantics, i. e., the self-organized evolution of implicit conceptual structures, within Social Annotation data. While several techniques to exploit the emergent patterns were proposed, a systematic analysis - especially regarding paradigms from the field of ontology learning - is still largely missing. This also includes a deeper understanding of the circumstances which affect the evolution processes. This work aims to address this gap by providing an in-depth study of methods and influencing factors to capture emergent semantics from Social Annotation Systems. We focus hereby on the acquisition of lexical semantics from the underlying networks of keywords, users and resources. Structured along different ontology learning tasks, we use a methodology of semantic grounding to characterize and evaluate the semantic relations captured by different methods. In all cases, our studies are based on datasets from several Social Annotation Systems. Specifically, we first analyze semantic relatedness among keywords, and identify measures which detect different notions of relatedness. These constitute the input of concept learning algorithms, which focus then on the discovery of synonymous and ambiguous keywords. Hereby, we assess the usefulness of various clustering techniques. As a prerequisite to induce hierarchical relationships, our next step is to study measures which quantify the level of generality of a particular keyword. We find that comparatively simple measures can approximate the generality information encoded in reference taxonomies. These insights are used to inform the final task, namely the creation of concept hierarchies. For this purpose, generality-based algorithms exhibit advantages compared to clustering approaches. In order to complement the identification of suitable methods to capture semantic structures, we analyze as a next step several factors which influence their emergence. Empirical evidence is provided that the amount of available data plays a crucial role for determining keyword meanings. From a different perspective, we examine pragmatic aspects by considering different annotation patterns among users. Based on a broad distinction between "categorizers" and "describers", we find that the latter produce more accurate results. This suggests a causal link between pragmatic and semantic aspects of keyword annotation. As a special kind of usage pattern, we then have a look at system abuse and spam. While observing a mixed picture, we suggest that an individual decision should be taken instead of disregarding spammers as a matter of principle. Finally, we discuss a set of applications which operationalize the results of our studies for enhancing both Social Annotation and semantic systems. These comprise on the one hand tools which foster the emergence of semantics, and on the one hand applications which exploit the socially induced relations to improve, e. g., searching, browsing, or user profiling facilities. In summary, the contributions of this work highlight viable methods and crucial aspects for designing enhanced knowledge-based services of a Social Semantic Web.