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Schatten-IT (Teil 2)
(2017)
Das Thema Schatten-IT hat erst in den letzten Jahren in Wissenschaft und Praxis erheblich an Bedeutung gewonnen.1 Unter dem Begriff Schatten-IT werden dabei Systeme verstanden, welche die Fachbereiche in Eigenregie beschaffen oder erstellen und die nicht in das IT-Servicemanagement des Unternehmens eingebunden sind.2 Das Thema Schatten-IT ist dabei weder neu noch selten. Trotz dieser langen Geschichte war über die Verbreitung der Schatten-IT wenig Genaues bekannt. Im einem Beitrag in dieser Zeitschrift im Jahr 2011 haben wir die Risiken der Schatten-IT beschrieben und damit die Notwendigkeit für die Auseinandersetzung mit dem Thema Schatten-IT hergeleitet.3 Im Forschungsprojekt Schatten-IT des Konstanzer Instituts für Prozesssteuerung wurde dann in den vergangenen Jahren eine Methode zum Management der Schatten-IT entwickelt und in verschiedenen Fallstudien evaluiert. Ziel dieses Beitrages ist es, die empirischen Ergebnisse aus den Fallstudien vorzustellen.4 Die Datenbasis bilden dabei die Fallstudien in vier Unternehmen, in denen insgesamt 386 Schatten-IT Systeme gefunden wurden. Zwei der Unternehmen stammen aus der Finanz- und Versicherungsbranche, die beiden anderen aus der Fertigungsindustrie. Je ein Abteilungsbereich wurde für die Untersuchung herangezogen. Aus diesen Fallstudien stellt der Beitrag im zweiten Kapitel die Ausprägungen der aufgedeckten Schatten-IT vor. Im dritten Kapitel folgt dann die Beschreibung der geschäftlichen Relevanz der Schatten-IT. Im vierten Abschnitt gehen wir auf die Qualität der Schatten-IT Systeme ein. In der Fortsetzung des Artikels werden in einem weiteren Beitrag die möglichen Prüfungsansätze beschrieben.
As part of large-scale project in the Lake Constance region that borders Germany, Austria and Switzerland, seamless learning prototypes are designed, implemented, and evaluated. A design-based research (DBR) approach is used for the development, implementation and evaluation. The project consists of one base project that brings together instructional design and instructional technology specialists as well as (educational) software architects, supporting seven subprojects in developing seamless-learning lighthouse implementations mostly within higher and further education.
Industrial partners are involved in all subprojects. The authors are unaware of similar seamless learning projects using a DBR approach that include evaluation and redesign and allow for comparison of experiences by applying DBR across subprojects. The project aims to generate novel seamless learning implementations, respective novel research and novel software supporting different aspects of seamless learning. The poster will present the project design, delineate areas of research and development, and include initial empirical results.
Successful project management (PM), as one of the most important key competences in the western-oriented working world, is mainly influenced by experience and social skills. As a direct impact on PM training, the degree of practice and reality is crucial for the application of lessons learned in a challenging everyday work life. This work presents a recursive approach that adapts well-known principles of PM itself for PM training. Over three years, we have developed a concept and an integrated software system that support our PM university courses. Stepwise, it transfers theoretical PM knowledge into realistic project phases by automatically adjusting to the individual learning progress. Our study reveals predictors such as degrees of collaboration or weekend work as vital aspects in the PM training progress. The chosen granularity of project phases with variances in different dimensions makes our model a canonical incarnation of seamless learning.
Smart factory and education
(2017)
Durch die Einführung cyber-physischer Systeme in der Produktion ändern sich Arbeitsbedingungen und Prozesse sowie Geschäftsmodelle. In der Praxis kann eine wachsende Diskrepanz zwischen großen und kleinen bzw. mittelständischen Unternehmen beobachtet werden. Um diese Diskrepanz zu überbrücken, wird eine Modellfabrik vorgestellt, die Unternehmen eine Plattform zum Probieren bietet, die Möglichkeit zur Ausbildung von Studenten und Mitarbeitern schafft und Beratungsangebote bereithält. Am Beispiel einer dezentralisierten Demonstrationsfabrik wird ein hochintegriertes, offenes und standardisiertes Automatisierungskonzept vom Shopfloor bis hin zu einem Business Ecosystem präsentiert. Eine Suchmaschine dient als Basis für ein Fertigungsmanagementsystem (MES). Die Informationsverarbeitung erfolgt nach dem Pull-Prinzip, welches bei einem nach Lean optimierten Prozess bereits Anwendung findet.
Validity of the business model is a key indicator for buying into ventures in the early-stage. Business models of early-stage ventures decrease in validity when developing the business over the progressing stages of the business life-cycle. By doing so, the ventures are validating their business model when building transaction relationships to the surrounding value network. In prior research, we developed a research design based on existing business innovation proposals (onepager, pitch decks, business plans) that is assumed to evaluate the status of business model validation. The core hypothesis of the research design is that transaction relations represent a strong anchor between the business model and the business reality, thus providing information on the business model validity. In this research, we test this hypothesis by designing and analyzing a survey that was directed to founders taking part in a business plan competition. We compared the relationships described in the submitted business plans to the relations explicitely stated in the follow-up questionnaire. We identified that the described relations to customers, investors, and people (human resources) match the relationships expressed in questionnaires quite well. A significant disagreement, however, exists in the relationships to suppliers. We conclude that there is still a theoretical and empirical gap that leads to disagreement between business plans and reality in the group of suppliers.
One major realm of Condition Based Maintenance is finding features that reflect the current health state of the asset or component under observation. Most of the existing approaches are accompanied with high computational costs during the different feature processing phases making them infeasible in a real-world scenario. In this paper a feature generation method is evaluated compensating for two problems: (1) storing and handling large amounts of data and (2) computational complexity. Both aforementioned problems are existent e.g. when electromagnetic solenoids are artificially aged and health indicators have to be extracted or when multiple identical solenoids have to be monitored. To overcome those problems, Compressed Sensing (CS), a new research field that keeps constantly emerging into new applications, is employed. CS is a data compression technique allowing original signal reconstruction with far fewer samples than Shannon-Nyquist dictates, when some criteria are met. By applying this method to measured solenoid coil current, raw data vectors can be reduced to a way smaller set of samples that yet contain enough information for proper reconstruction. The obtained CS vector is also assumed to contain enough relevant information about solenoid degradation and faults, allowing CS samples to be used as input to fault detection or remaining useful life estimation routines. The paper gives some results demonstrating compression and reconstruction of coil current measurements and outlines the application of CS samples as condition monitoring data by determining deterioration and fault related features. Nevertheless, some unresolved issues regarding information loss during the compression stage, the design of the compression method itself and its influence on diagnostic/prognostic methods exist.
Intelligente Aktorik
(2017)