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- Institut für Wirtschafts- und Verwaltungsinformatik (27) (remove)
Mit dieser Arbeit werden die folgenden Ziele verfolgt: Eine repräsentative Auswahl und Sammlung von Beispielen für Mobile Ticketing Systeme (insbesondere aus dem deutschsprachigen Raum) zu recherchieren, die sich im praktischen Einsatz befinden. Eine Zusammenstellung sinnvoller Kategorien (Charakteristika) zu erarbeiten, anhand derer sich Mobile Ticketing Systeme unterscheiden oder strukturieren lassen. Eine Gegenüberstellung der Beispiele und Kategorien zu erstellen, um zu untersuchen, welche typischen Klassen bei Mobile Ticketing Systemen identifiziert werden können.
The status of Business Process Management (BPM) recommender systems is not quite clear as research states. The use of recommenders familiarized itself with the world during the rise of technological evolution in the past decade.Ever since then, several BPM recommender systems came about. However, not a lot of research is conducted in this field. It is not well known to what broad are the technologies used and how are they used. Moreover, this master’s thesis aims at surveying the BPM recommender systems existing. Building on this, the recommendations come in different shapes. They can be positionbased where an element is to be placed at an element’s front, back or to autocomplete a missing link. On the other hand, Recommendations can be textual, to fill the labels of the elements. Furthermore, the literature review for BPM recommender systems took place under the guides of a literature review framework. The framework suggests 5stages of consecutive stages for this sake. The first stage is defining a scope for the research. Secondly, conceptualizing the topic by choosing key terms for literature research. After that in the third stage, comes the research stage.As for the fourth stage, it suggests choosing analysis features over which the literature is to be synthesized and compared. Finally, it recommends defining the research agenda to describe the reason for the literature review. By invoking the mentioned methodology, this master’s thesis surveyed 18 BPM recommender systems. It was found as a result of the survey that there
are not many different technologies for implementing the recommenders. It was also found that the majority of the recommenders suggest nodes that are yet to come in the model, which is called forward recommending. Also, one of the results of the survey indicated the scarce use of textual recommendations to BPM labels. Finally, 18 recommenders are considered less than excepted for a developing field therefore as a result, the survey found a shortage in the number of BPM recommender systems. The results indicate several shortages in several aspects in the field of BPM recommender systems. On this basis, this master’s thesis recommends the future work on it the results.
Although e-participation is becoming more and more important, security risks and requirements are so far only superficially regarded. This master thesis aims at contribute to security and privacy of e-participation applications. This paper deals with the users of electronic participation forms. Since personal data has to be transmitted in the e-participation process, systems require trustworthiness, privacy, transparency, availability and legal security between public administration and users. Therefore it is very important to ensure the most of security and privacy standards in information and communication technologies by the administration and the citizens to provide the necessary confidence in using e participation applications. This master thesis examines different e-participation platforms of the areas participatory budgeting, e-consultations, party websites, and e-petitions and explores at first which influence of sensitive e-participation systems on the political system they have. Subsequently, the current safety standard of the e-participation applications is determined. For this purpose an analysis framework is used, regarding on relevant security and privacy issues for e-participation. Based on the results safety levels are deduced from different types of e-participation applications. In addition recommendations for the constitution of e-participation are concluded, which helps to make e participation applications more secure. Furthermore, future technologies with the potential to improve security in the use of electronic public participation are presented.
Public electronic procurement (eProcurement), here electronic sourcing (eSourcing) in particular, is almost certainly on the agenda when eGovernment experts meet. Not surprisingly is eProcurement the first high-impact service to be addressed in the European Union- recent Action Plan. This is mainly dedicated to the fact that public procurement makes out almost 20% of Europe- GDP and therefore holds a huge saving potential. To some extent this potential lies in the common European market, since effective cross-boarder eSourcing solutions can open many doors, both for buyers and suppliers. To achieve this, systems and processes and tools, need to be adoptable, transferable as well as be able to communicate with each other. In one word, they need to be interoperable. In many relevant domains, interoperability has reached a very positive level, standards have been established, workflows been put in place. In other domains however, there is still a long road ahead. As a consequence it is crucial to define requirements for such interoperable eSourcing systems and to identify the progress in research and practice.
To construct a business process model manually is a highly complex and error-prone task which takes a lot of time and deep insights into the organizational structure, its operations and business rules. To improve the output of business analysts dealing with this process, different techniques have been introduced by researchers to support them during construction with helpful recommendations. These supporting recommendation systems vary in their way of what to recommend in the first place as well as their calculations taking place under the hood to recommend the most fitting element to the user. After a broad introduction into the field of business process modeling and its basic recommendation structures, this work will take a closer look at diverse proposals and descriptions published in current literature regarding implementation strategies to effectively and efficiently assist modelers during their business process model creation. A critical analysis of presentations in the selected literature will point out strengths and weaknesses of their approaches, studies and descriptions of those. As a result, the final concept matrix in this work will give a precise and helpful overview about the key features and recommendation methods used and implemented in previous research studies to pinpoint an entry into future works without the downsides already spotted by fellow researchers.
Predictive Process Monitoring is becoming more prevalent as an aid for organizations to support their operational processes. However, most software applications available today require extensive technical know-how by the operator and are therefore not suitable for most real-world scenarios. Therefore, this work presents a prototype implementation of a Predictive Process Monitoring dashboard in the form of a web application. The system is based on the PPM Camunda Plugin presented by Bartmann et al. (2021) and allows users to easily create metrics, visualizations to display these metrics, and dashboards in which visualizations can be arranged. A usability test is with test users of different computer skills is conducted to confirm the application’s user-friendliness.
The industry standard Decision Model and Notation (DMN) has enabled a new way for the formalization of business rules since 2015. Here, rules are modeled in so-called decision tables, which are defined by input columns and output columns. Furthermore, decisions are arranged in a graph-like structure (DRD level), which creates dependencies between them. With a given input, the decisions now can be requested by appropriate systems. Thereby, activated rules produce output for future use. However, modeling mistakes produces erroneous models, which can occur in the decision tables as well as at the DRD level. According to the Design Science Research Methodology, this thesis introduces an implementation of a verification prototype for the detection and resolution of these errors while the modeling phase. Therefore, presented basics provide the needed theoretical foundation for the development of the tool. This thesis further presents the architecture of the tool and the implemented verification capabilities. Finally, the created prototype is evaluated.
This thesis explores the possibilities of probabilistic process modelling for the Computer Supported Cooperative Work (CSCW) systems in order to predict the behaviour of the users present in the CSCW system. Toward this objective applicability, advantages, limitations and challenges of probabilistic modelling are excavated in context of CSCW systems. Finally, as a primary goal seven models are created and examined to show the feasibilities of probabilistic process discovery and predictions of the users behaviour in CSCW systems.
Opinion Mining
(2010)
Das Opinion Mining stellt eine Methode dar, mit der Meinungen aus dem WWW gefiltert und intelligent aufbereitet werden können, um Stimmungsanalysen zu einzelnen Produkten und Dienstleistungen zu erstellen. Opionion Mining bietet den Unternehmen somit eine innovative Möglichkeit, ihre Marketingkommmunikation planbarer und wirkungsvoller zu gestalten und ein deutlich erhöhtes Maß an Involvement und Relevanz innerhalb bestimmter Zielgruppen zu erreichen. Zunächst werden die theoretischen Grundlagen des Web 2.0 und relevanter Methoden der Business Intelligence erläutert. Die empirische Untersuchung bildet den Schwerpunkt der Arbeit. Auf die Entwicklung eines Vorgehensmodells folgt die praktische Anwendung dieses Modells auf ein Produkt. Die Ergebnisse werden im Review-Scan im Hinblick auf Forschung und Praxis ausgewertet und diskutiert.
In this work a framework is developed that is used to create an evaluation scheme for the evaluation of text processing tools. The evaluation scheme is developed using a model-dependent software evaluation approach and the focus of the model-dependent part is the text-processing process which is derived from the Conceptual Analysis Process developed in the GLODERS project. As input data a German court document is used containing two incidents of extortion racketeering which happened in 2011 and 2012. The evaluation of six different tools shows that one tool offers great results for the given dataset when it is compared to manual results. It is able to identify and visualize relations between concepts without any additional manual work. Other tools also offer good results with minor drawbacks. The biggest drawback for some tools is the unavailability of models for the German language. They can perform automated tasks only on English documents. Nonetheless some tools can be enhanced by self-written code which allows users with development experience to apply additional methods.