Refine
Year of publication
- 2024 (3)
- 2023 (18)
- 2022 (12)
- 2021 (24)
- 2020 (20)
- 2019 (30)
- 2018 (35)
- 2017 (25)
- 2016 (26)
- 2015 (28)
- 2014 (24)
- 2013 (27)
- 2012 (17)
- 2011 (29)
- 2010 (24)
- 2009 (25)
- 2008 (26)
- 2007 (28)
- 2006 (17)
- 2005 (15)
- 2004 (19)
- 2003 (12)
- 2002 (20)
- 2001 (20)
- 2000 (19)
- 1999 (23)
- 1998 (16)
- 1997 (13)
- 1996 (10)
- 1995 (11)
- 1994 (15)
- 1993 (9)
- 1992 (8)
- 1991 (4)
- 1990 (6)
- 1989 (5)
- 1988 (5)
- 1987 (2)
- 1986 (1)
- 1985 (6)
- 1984 (1)
- 1982 (2)
- 1981 (1)
- 1980 (4)
- 1979 (2)
- 1978 (3)
- 1976 (1)
- 1975 (1)
- 1974 (1)
Document Type
- Article (401)
- Conference Proceeding (230)
- Part of a Book (35)
- Book (23)
- Patent (2)
- Doctoral Thesis (1)
- Poster (1)
Language
- English (693) (remove)
Keywords
- Enterprise Architecture (5)
- MINLP (5)
- Engineering optimization (4)
- Optimization (3)
- Powertrain (3)
- Technical Operations Research (3)
- Telecommunication (3)
- Competence Developing Games (2)
- Energy efficiency (2)
- Experimental validation (2)
- Gamification (2)
- Hot S-parameter (2)
- Machine Learning (2)
- Optimal Topology (2)
- Process engineering (2)
- Pump System (2)
- Robotic Process Automation (2)
- Serious Game (2)
- Ventilation System (2)
- Water (2)
Institute
- Fachbereich Elektrotechnik und Informationstechnik (693) (remove)
Information technologies, such as big data analytics, cloud computing,
cyber physical systems, robotic process automation, and the internet of things, provide a sustainable impetus for the structural development of business sectors as well as the digitalization of markets, enterprises, and processes. Within the consulting industry, the proliferation of these technologies opened up the new segment of digital transformation, which focuses on setting up, controlling, and implementing projects for enterprises from a broad range of sectors. These recent developments raise the question, which requirements evolve for IT consultants as important success factors of those digital transformation projects. Therefore, this empirical contribution provides indications regarding the qualifications and competences necessary for IT consultants in the era of digital transformation from a labor market perspective. On the one hand, this knowledge base is interesting for the academic education of consultants, since it supports a market-oriented design of adequate training measures. On the other hand, insights into the competence requirements for consultants are considered relevant for skill and talent management processes in consulting practice. Assuming that consulting companies pursue a strategic human resource management approach, labor market information may also be useful to discover strategic behavioral patterns.
Due to the high number of customer contacts, fault clearances, installations, and product provisioning per year, the automation level of operational processes has a significant impact on financial results, quality, and customer experience. Therefore, the telecommunications operator Deutsche Telekom (DT) has defined a digital strategy with the objectives of zero complexity and zero complaint, one touch, agility in service, and disruptive thinking. In this context, Robotic Process Automation (RPA) was identified as an enabling technology to formulate and realize DT’s digital strategy through automation of rule-based, routine, and predictable tasks in combination with structured and stable data.
The initial idea of Robotic Process Automation (RPA) is the automation of business processes through the presentation layer of existing application systems. For this simple emulation of user input and output by software robots, no changes of the systems and architecture is required. However, considering strategic aspects of aligning business and technology on an enterprise level as well as the growing capabilities of RPA driven by artificial intelligence, interrelations between RPA and Enterprise Architecture (EA) become visible and pose new questions. In this paper we discuss the relationship between RPA and EA in terms of perspectives and implications. As workin- progress we focus on identifying new questions and research opportunities related to RPA and EA.
Design and Development of a Novel Self-Igniting Microwave Plasma Jet for Industrial Applications
(2019)
In this paper, an approach to propulsion system modelling for hybrid-electric general aviation aircraft is presented. Because the focus is on general aviation aircraft, only combinations of electric motors and reciprocating combustion engines are explored. Gas turbine hybrids will not be considered. The level of the component's models is appropriate for the conceptual design stage. They are simple and adaptable, so that a wide range of designs with morphologically different propulsive system architectures can be quickly compared. Modelling strategies for both mass and efficiency of each part of the propulsion system (engine, motor, battery and propeller) will be presented.