No abstract

Mobile enterprise apps provide novel possibilities for the optimization and redesign of business processes, e.g., by the elimination of paper-based data acquisitioning or ubiquitous access to up-to-date information. To leverage these business potentials, a critical success factor is the identification and evaluation of value-adding MEAs based on an analysis of the business process. For this purpose, we present ValueApping, a systematic analysis method to identify usage scenarios for value-adding mobile enterprise apps in business processes and to analyze their business benefits. We describe the different analysis steps and corresponding analysis artifacts of ValueApping and discuss the results of a caseoriented evaluation in the automotive industry.

Schlagwörter: Akustische Mustererkennung, neuronale Netze, Fehlerdiagnose, Spracherkennung Dieser Beitrag gibt eine Übersicht über die Klassifikationsverfahren in der akustischen Mustererkennung. Neben den klassischen Methoden werden neuronale Klassifikatoren diskutiert und ein neues Verfahren vorgestellt. Zwei Anwendungen zeigen seinen Einsatz zur technischen Fehlerdiagnose und zur automatischen Spracherkennung. Neural classifiers in acoustical pattern recognitionThis contribution gives an overview on classification methods in acoustical pattern recognition. In addition to classical methods neural classifiers are discussed. A new approach is presented. Its usability is shown by two applications ( technical failure diagnosis and automatic speech recognition).

No abstract

Mobile apps offer new possibilities to improve business processes. However, the introduction of mobile apps is typically carried out from a technology point of view. Hence, process improvement from a business point of view is not guaranteed. There is a methodological lack for a holistic analysis of business processes regarding mobile technology. For this purpose, we present an analysis framework, which comprises a systematic methodology to identify value-added usage scenarios of mobile technology in business processes with a special focus on mobile apps. The framework is based on multi-criteria analysis and portfolio analysis techniques and it is evaluated in a case-oriented investigation in the automotive industry.