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Sustainable Leadership
(2023)
Thematik:
Die vorliegende Forschungsarbeit befasst sich mit dem Thema Sustainable Leadership. Dieses Forschungsgebiet der nachhaltigkeitsorientierten Forschung hat in den letzten Jah- ren durch die immer stärker werden Auswirkungen des Klimawandels erheblich an Bedeutung gewonnen. In diesem Zusammenhang rücken Unternehmen immer mehr in den Fokus. Diese müssen nun Wege und Methoden finden, die ihre Arbeitsweise und Prozesse nachhaltiger und umweltschonender gestalten. Die in der vorliegenden Arbeit zu untersuchende Forschungsfrage lautet: „Wie gestaltet sich ein Sustainable Leadership Ansatz in Unternehmen?“ Aufbauend auf dieser übergeordneten Forschungsfrage werden in untergeordneten Forschungsfrage insbesondere Merkmale, Kompetenzen und Verhaltensweisen eines nachhaltigkeitsorientierten Führungsstils betrachtet.
Methodik:
Die Forschungsmethodik der vorliegenden Arbeit ist eine qualitative Inhaltsanalyse nach Mayring (2019). Mittels semistrukturierter Interviews wurden Führungspersönlichkeiten aus Großunternehmen befragt. Auf Grundlage dieses Datenmaterials wurden induktive Kategorien abgeleitet und qualitativ analysiert und interpretiert.
Ergebnisse:
Die Ergebnisse der empirischen Forschung wurden in insgesamt fünf Oberkategorien mit jeweils zwei Unterkategorien zusammengefasst. Es wurden die theoretischen Erkennt- nisse des Forschungsbereichs mit den praktischen Erkenntnissen aus den durchgeführten Interviews ergänzt und interpretiert. Des Weiteren wurden die Ergebnisse aus Sicht einer holistischen Unternehmensperspektive in einem konzeptionellen Ansatz modelliert. Ab- schließend wurden aus den Praxiserfahrungen einige Handlungsempfehlungen formuliert und die Merkmale, Kompetenzen, Verhaltensweisen und Auswirkungen eines nachhal- tigkeitsorientierten Führungsstils diskutiert.
Querying for meta knowledge
(2008)
The Semantic Web is based on accessing and reusing RDF data from many different sources, which one may assign different levels of authority and credibility. Existing Semantic Web query languages, like SPARQL, have targeted the retrieval, combination and reuse of facts, but have so far ignored all aspects of meta knowledge, such as origins, authorship, recency or certainty of data, to name but a few. In this paper, we present an original, generic, formalized and implemented approach for managing many dimensions of meta knowledge, like source, authorship, certainty and others. The approach re-uses existing RDF modeling possibilities in order to represent meta knowledge. Then, it extends SPARQL query processing in such a way that given a SPARQL query for data, one may request meta knowledge without modifying the query proper. Thus, our approach achieves highly flexible and automatically coordinated querying for data and meta knowledge, while completely separating the two areas of concern.
Purpose: The present research aims on the one hand to provide a basic understanding of the challenges that young companies in growth face by discussing previous findings on this topic. On the other hand, this research project wants to generate new insights on specific challenges and possible learning processes by means of a theory-based examination of a case study.
Design/Methodology/Approach: The author of this study conducts a theory-based case study investigation. The study is based on two theoretical concepts which depict the phenomenon of challenges faced by young companies in growth in an abstract form: On the one hand, the "Tension-Balancing Management" according to Harald von Korflesch, which expresses the fundamental tension within entrepreneurial organizations, which in turn can be seen as a starting point for actual challenges. On the other hand, the "Tipping Points / Absorbative Capacities" framework by Phelps and colleagues, which links challenges (Tipping Points) that young companies will experience during their lifetime with required capabilities (Absorbative Capacities). Guided by these theories, rich data from interviews, observations and documents from the case are collected and analyzed in order to generate insights.
Findings: On the one hand, challenges of young growing companies can be described on a superordinate level with the help of the two theoretical concepts. On the other hand, the analysis also shows that, above all, a fine-grained, individual approach is needed to adequately depict challenges and learning processes.
Research Limitations: The main limitation of the present study is the single-case design. The fact that only one specific case was examined means that the insights gained from this cannot be automatically replicated to comparable cases. The simultaneous examination of multiple cases could thus make the results more stable.
Originality/Value: The qualitative investigation of growth-related challenges by means of a specific case study creates an in-depth and profound understanding of complex interactions in the growth of young companies. In addition, the assumptions of both theoretical concepts are tested on a real case, thus enabling theoretical and practical implications to be identified.
In recent years, traceability has been more and more universally accepted as being a key factor for the success of software development projects. However, the multitude of different, not well-integrated taxonomies, approaches and technologies impedes the application of traceability techniques in practice. This paper presents a comprehensive view on traceability, pertaining to the whole software development process. Based on graph technology, it derives a seamless approach which combines all activities related to traceability information, namely definition, recording, identification, maintenance, retrieval, and utilization in one single conceptual framework. The presented approach is validated in the context of the ReDSeeDS-project aiming at requirements-based software reuse.
The way information is presented to users in online community platforms has an influence on the way the users create new information. This is the case, for instance, in question-answering fora, crowdsourcing platforms or other social computation settings. To better understand the effects of presentation policies on user activity, we introduce a generative model of user behaviour in this paper. Running simulations based on this user behaviour we demonstrate the ability of the model to evoke macro phenomena comparable to the ones observed on real world data.
In this bachelor thesis a database for worldwide railway national investigation bodies is created. It contains contact details of those authorities as well as information of public accident investigation reports. The database is intended to serve as a basis for information and data acquisition of railway accidents. The information that can be taken from the investigation reports is an important element for a possible economical evaluation and for the efficiency of safety technologies. Besides the basics of the national investigation bodies, accident investigation reports and the efficiency calculation of safety technologies the thesis presents an evaluation of the existing investigation bodies and reports in the database. Also the usefulness of the database of accident investigation bodies will be explained and the potential impact on railway safety will be examined.
Cloud Computing is a topic that has gained momentum in the last years. Current studies show that an increasing number of companies is evaluating the promised advantages and considering making use of cloud services. In this paper we investigate the phenomenon of cloud computing and its importance for the operation of ERP systems. We argue that the phenomenon of cloud computing could lead to a decisive change in the way business software is deployed in companies. Our reference framework contains three levels (IaaS, PaaS, SaaS) and clarifies the meaning of public, private and hybrid clouds. The three levels of cloud computing and their impact on ERP systems operation are discussed. From the literature we identify areas for future research and propose a research agenda.
Knowledge compilation is a common technique for propositional logic knowledge bases. A given knowledge base is transformed into a normal form, for which queries can be answered efficiently. This precompilation step is expensive, but it only has to be performed once. We apply this technique to concepts defined in the Description Logic ALC. We introduce a normal form called linkless normal form for ALC concepts and discuss an efficient satisability test for concepts given in this normal form. Furthermore, we will show how to efficiently calculate uniform interpolants of precompiled concepts w.r.t. a given signature.
In this paper, we compare two approaches for exploring large,rnhierarchical data spaces of social media data on mobile devicesrnusing facets. While the first approach arranges thernfacets in a 3x3 grid, the second approach makes use of arnscrollable list of facets for exploring the data. We have conductedrna between-group experiment of the two approachesrnwith 24 subjects (20 male, 4 female) executing the same set ofrntasks of typical mobile users" information needs. The resultsrnshow that the grid-based approach requires significantly morernclicks, but subjects need less time for completing the tasks.rnFurthermore, it shows that the additional clicks do not hamperrnthe subjects" satisfaction. Thus, the results suggest thatrnthe grid-based approach is a better choice for faceted searchrnon touchscreen mobile devices. To the best of our knowledge,rnsuch a summative evaluation of different approaches for facetedrnsearch on mobile devices has not been done so far.