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Im Sommer des Jahres 2022 hatte der Bayerische Landtag das neue Hochschulinnovationsgesetz (BayHIG) verabschiedet. Darin ist erstmals der Wissenstransfer als die dritte, neue Säule der Hochschulaufgaben enthalten.
Tatsächlich hat sich das IMI bereits seit 15 Jahren dem Wissenstransfer Hochschule - Wirtschaft verschrieben und zahlreiche Projekte mit unterschiedlichem Fokus erfolgreich durchgeführt. In der vorliegenden Publikation werden die bearbeiteten Themen im Wissenstransfer, die zahlreichen verschiedenen Veranstaltungsformate sowie die Drittmittelprojekte beleuchtet.
Ziel des vom Europäischen Sozialfond (ESF) ko-finanzierten Projektes war es, Methoden und Prozesse
zu entwickeln und vermitteln, die dazu dienen, die Kapitalausstattung für Unternehmen am
Bayerischen Untermain zu verbessern, beziehungsweise damit verbundene Arbeitsmarktwirksame
Unternehmensexpansionen zu fördern. Die reguläre Laufzeit von KaRaBonita vom 1. April 2013 bis 30. September 2014 wurde um
ein halbes Jahr verlängert, um Fragen der Idenitifikation, Kommunikation und spezifischen
Wissenstransfers mit kapitalsuchenden KMUs in der Region zu adressieren.
Reverse Business Innovations - Evaluation of relevant new release functions for enterprise systems
(2014)
With each new release, enterprise software vendors deliver user organizations a myriad of new functions that can add
business value. Organizations are then faced with assessing which of the new functions drive value for them and which
do not and so, how much they will benefit from an upgrade.
The authors have developed a model for decision support. Various aspects of an upgrade can be assessed with the aid of
software tools, such as analyses and evaluations of new functionality with respect to relevance, benefits, profitability,
strategic goals and impact. In this article, we will present the portion of this model that can determine which functionality
is relevant for an organization and to what extent. Our decision support model applies “reverse” system usage to identify
which enterprise system functions are currently being used and which not. Based on usage data and pattern matching, we
can determine which new functions add value for organizations. This helps businesses more easily determine which new
functions are relevant to them and helps ensure that they continue to see a return on their often very expensive IT and IS
investments far into the future.
Empirical data based on actual system use is in very short supply. How many transactions do ERP system users execute?
In which business processes do most users still play an active role? Answers to these questions are provided in the
analysis of 77 user organizations, the subject of this publication. For the first time, these questions can be answered
objectively, based on data collected with system-based analyses of live post-implementation SAP systems. The analyses
examined activities of over 253,000 users and the data was extracted using RBE Plus, a reverse business engineering tool.
Areas of intense usage and user types have been identified objectively, and the findings pinpoint specific sub-processes
that reveal potential for improvement.
In business IT, empirical data is very rarely in the form of corporate usage data from system analyses. This article introduces 105 systems that have been analyzed in-depth, and whose data deliver empirical conclusions about usage and the level of maturity of business processes in purchasing, and quantify the primary types of activities users are involved in. The data was gathered from usage analyses of SAP systems via RBE Plus, a reverse business engineering tool. It is based on the activities of more than 270,000 users in organizations in Europe and the USA. The findings offer enterprises a standard of comparison and reveal potential for improvement in sub-processes.
Empirical data based on actual system use is in very short supply. How many transactions do ERP system users execute? In which business processes do most users still play an active role? Answers to these questions are provided in the analysis of 77 user organizations, the subject of this publication. For the first time, these questions can be answered objectively, based on data collected with system-based analyses of live post-implementation SAP systems. The analyses examined activities of over 253,000 users and the data was extracted using RBE Plus, a reverse business engineering tool. Areas of intense usage and user types have been identified objectively, and the findings pinpoint specific sub-processes that reveal potential for improvement.
Von Mittelstandslösungen wie SAP Business One bis zu gezielten Anwendungen wie Simple Finance oder SuccessFactors – dieses Buch stellt Ihnen alle Cloud-Lösungen aus der SAP-Welt ausführlich vor. Erfahren Sie, was die einzelnen Lösungen bieten und was sie kosten. Lesen Sie nach, wie Sie die Systeme einsetzen und wie SAP für die Sicherheit Ihrer Unternehmensdaten sorgt. Ob für Finanzen, im Vertrieb, Marketing oder Personalabteilung: Loten Sie die Möglichkeiten für Ihr Unternehmen aus!