Informatik
Refine
Document Type
- Conference proceeding (570)
- Journal article (199)
- Book chapter (62)
- Doctoral Thesis (18)
- Book (10)
- Anthology (10)
- Patent / Standard / Guidelines (2)
- Report (2)
- Working Paper (2)
Is part of the Bibliography
- yes (875)
Institute
- Informatik (875)
- Technik (2)
- ESB Business School (1)
Publisher
- Springer (205)
- Hochschule Reutlingen (104)
- IEEE (90)
- Gesellschaft für Informatik e.V (62)
- Elsevier (47)
- Association for Computing Machinery (38)
- IARIA (26)
- RWTH Aachen (15)
- De Gruyter (14)
- Association for Information Systems (12)
- SciTePress (12)
- Università Politecnica delle Marche (11)
- Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. (10)
- MDPI (10)
- Haufe (8)
- University of Hawai'i at Manoa (8)
- Emerald (7)
- IOP Publishing (7)
- American Marketing Association (5)
- SPIE. The International Society for Optical Engineering (5)
- University of Zagreb (5)
- Curran Associates Inc. (4)
- IGI Global (4)
- OpenProceedings (4)
- Riga Technical University Press (4)
- University of Hawaii at Manoa (4)
- Universität Tübingen (4)
- Wiley (4)
- Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie e. V. (3)
- EuroMed Press (3)
- International Academy of Business Disciplines (3)
- PeerJ Inc. (3)
- Sage Publishing (3)
- Taylor & Francis (3)
- Universität Konstanz (3)
- Academic Conferences International (2)
- CSW-Verlag (2)
- Deutsche Aktuarvereinigung (DAV) e.V. (2)
- GMDS e.V. (2)
- Gabler (2)
- HTWG Konstanz (2)
- IADIS (2)
- IADIS Press (2)
- IBM Research Division (2)
- IGI Publishing (2)
- International Association for Development of the Information Society (2)
- International Society for Photogrammetry and Remote Sensing (2)
- Smart Home & Living Baden-Württemberg e.V. (2)
- The Association for Computing Machinery, Inc. (2)
- Thieme (2)
- University of the West of Scotland (2)
- Universität Stuttgart (2)
- World Scientific Publishing (2)
- 3m5.Media GmbH (1)
- ARVO (1)
- Academic Conferences International Limited (1)
- American Institute of Physics (1)
- Association for Computing Machinery ACM (1)
- Association of Computing Machinery (1)
- CIDR (1)
- Cambridge University Press (1)
- Circle International (1)
- Copenhagen Business School (1)
- Cornell Universiy (1)
- Cuvillier Verlag (1)
- DGMP (1)
- DIMECC Oy (1)
- DUZ Medienhaus (1)
- EDP Sciences (1)
- EMAC (1)
- Ed2.0Work (1)
- Elektronikpraxis, Vogel Business Media GmbH & Co. KG (1)
- Eurographics Association (1)
- Fachausschuß Management der Anwendungsentwicklung und -wartung (1)
- Frontiers Media (1)
- Frontiers Research Foundation (1)
- GITO Verlag (1)
- German Medical Science Publishing House (1)
- Hochschule Heilbronn (1)
- Hochschule der Medien (1)
- Inderscience Publishers (1)
- JMIR Publications (1)
- Johannes Kepler University Linz (1)
- Karlsruher Institut für Technologie (1)
- Lund University (1)
- MFG Stiftung Baden-Württemberg (1)
- MHP Management- und IT-Beratung GmbH (1)
- Morressier (1)
- NextMed (1)
- PLOS (1)
- Pabst Science Publishers (1)
- Pallas Press (1)
- SISSA (1)
- SciKA (1)
- Shaker Verlag (1)
- Society for Science and Education (1)
- Springer Nature (1)
- Technical University (1)
- Technische Universität Darmstadt (1)
- The Association for Computing Machinery (1)
- Tomas Bata University in Zlín (1)
- UVW, Universitätsverlag Verlag Webler (1)
- Universidad Carlos III de Madrid (1)
- University of Belgrade (1)
- University of Jaén (1)
- University of Minho (1)
- University of Portsmouth (1)
- University of Zagreb Faculty of Organization and Informatics (1)
- Universität Leipzig (1)
- Universität Trier (1)
- Universität des Saarlandes (1)
- WEKA Fachmedien (1)
- dpunkt-Verlag (1)
- imc (1)
- libreriauniversitaria.it.edizioni (1)
- vwh Verlag Werner Hülsbusch (1)
Relationship Marketing (RM) presumes trust as an important antecedent for the performance of interfirm relationships. Current research is dominated by an interpersonal perspective. In this research tack, trust chiefly emerges as a result of interpersonal relationships. But multiple risks arise if customer trust rests solely on elements inextricably linked to single representatives. Hence, this paper evaluates the impact of organizational capabilities and the moderating role of customer preferences on the trust creation process. The framework presented here is tested cross-industry on 220 customers for IT solutions. The results offer significant insight into the effectiveness of individual and organizational RM strategies.
Steady growing research material in a variety of databases, repositories and clouds make academic content more than ever hard to discover. Finding adequate material for the own research however is essential for every researcher. Based on recent developments in the field of artificial intelligence and the identified digital capabilities of future universities a change in the basic work of academic research is predicted. This study defines the idea of how artificial intelligence could simplifiy academic research at a digital university. Today's studies in the field of AI spectacle the true potential and its commanding impact on academic research.
Context: Organizations are increasingly challenged by high market dynamics, rapidly evolving technologies and shifting user expectations. In consequence, many organizations are struggling with their ability to provide reliable product roadmaps by applying traditional roadmapping approaches. Currently, many companies are seeking opportunities to improve their product roadmapping practices and strive for new roadmapping approaches. A typical first step towards advancing the roadmapping capabilities of an organization is to assess the current situation. Therefore, the so-called maturity model DEEP for assessing the product roadmapping capabilities of companies operating in dynamic and uncertain environments has been developed and published by the authors.
Objective: The aim of this article is to conduct an initial validation of the DEEP model in order to understand its applicability better and to see if important concepts are missing. In addition, the aim of this article is to evolve the model based on the findings from the initial validation.
Method: The model has been given to practitioners such as product managers with the request to perform a self-assessment of the current product roadmapping practices in their company. Afterwards, interviews with each participant have been conducted in order to gain insights.
Results: The initial validation revealed that some of the stages of the model need to be rearranged and minor usability issues were found. The overall structure of the model was well received. The study resulted in the development of the version 1.1 of the DEEP product roadmap maturity model which is also presented in this article.
Public transport maps are typically designed in a way to support route finding tasks for passengers, while they also provide an overview about stations, metro lines, and city-specific attractions. Most of those maps are designed as a static representation, maybe placed in a metro station or printed in a travel guide. In this paper, we describe a dynamic, interactive public transport map visualization enhanced by additional views for the dynamic passenger data on different levels of temporal granularity. Moreover, we also allow extra statistical information in form of density plots, calendar-based visualizations, and line graphs. All this information is linked to the contextual metro map to give a viewer insights into the relations between time points and typical routes taken by the passengers. We also integrated a graph-based view on user-selected routes, a way to interactively compare those routes, an attribute- and property-driven automatic computation of specific routes for one map as well as for all available maps in our repertoire, and finally, also the most important sights in each city are included as extra information to include in a user-selected route. We illustrate the usefulness of our interactive visualization and map navigation system by applying it to the railway system of Hamburg in Germany while also taking into account the extra passenger data. As another indication for the usefulness of the interactively enhanced metro maps we conducted a controlled user experiment with 20 participants.
The relevance of technology knowledge in digital transformation especially in small and mediumsized enterprises (SMEs) that are still largely dependent on physical human capital has become increasingly obvious. This is due to the rapid revolution in business environment coupled with increased living examples of firms disrupted by advancement in technological knowledge. Consequently, we find it progressively vital for SMEs to spot and mitigate both threats and take advantage of opportunities arising from digital transformation dynamism.
Our study aims at exploring the relevance of technology knowledge in SMEs for digital transformation to uncover the opportunities, roadmaps, and models that SMEs can take advantage of in the digital transformation and gain a competitive edge.
We conclude that irrespective relevance of technology knowledge for digital transformation coupled with its low costs and accessibility, SMEs are yet to realize the full potential of technological knowledge. This is mainly due to technologies appearing, changing and also vanishing so rapidly in the digital age, that gaining proper understanding without dedicated resources is utterly difficult for SMEs - making them less competitive as incumbent large firms in the market.
Context: Development of software intensive products and services increasingly occurs by continuously deploying product or service increments, such as new features and enhancements, to customers. Product and service developers must continuously find out what customers want by direct customer feedback and usage behaviour observation. Objective: This paper examines the preconditions for setting up an experimentation system for continuous customer experiments. It describes the RIGHT model for Continuous Experimentation (Rapid Iterative value creation Gained through High-frequency Testing), illustrating the building blocks required for such a system. Method: An initial model for continuous experimentation is analytically derived from prior work. The model is matched against empirical case study findings from two startup companies and further developed. Results: Building blocks for a continuous experimentation system and infrastructure are presented. Conclusions: A suitable experimentation system requires at least the ability to release minimum viable products or features with suitable instrumentation, design and manage experiment plans, link experiment results with a product roadmap, and manage a flexible business strategy. The main challenges are proper, rapid design of experiments, advanced instrumentation of software to collect, analyse, and store relevant data, and the integration of experiment results in both the product development cycle and the software development process.
Due to rapidly changing technologies and business contexts, many products and services are developed under high uncertainties. It is often impossible to predict customer behaviors and outcomes upfront. Therefore, product and service developers must continuously find out what customers want, requiring a more experimental mode of management and appropriate support for continuously conducting experiments. We have analytically derived an initial model for continuous experimentation from prior work and matched it against empirical case study findings from two startup companies. We examined the preconditions for setting up an experimentation system for continuous customer experiments. The resulting RIGHT model for Continuous Experimentation (Rapid Iterative value creation Gained through High-frequency Testing) illustrates the building blocks required for such a system and the necessary infrastructure. The major findings are that a suitable experimentation system requires the ability to design, manage, and conduct experiments, create so-called minimum viable products or features, link experiment results with a product roadmap, and manage a flexible business strategy. The main challenges are proper, rapid design of experiments, advanced instrumentation of software to collect, analyse, and store relevant data, and integration of experiment results in the product development cycle, software development process, and business strategy. This summary refers to the article The RIGHT Model for Continuous Experimentation, published in the Journal of Systems and Software [Fa17].
The digital twin concept has been widely known for asset monitoring in the industry for a long time. A clear example is the automotive industry. Recently, there has also been significant interest in the application of digital twins in healthcare, especially in genomics in what is known as precision medicine. This work focuses on another medical speciality where digital twins can be applied, sleep medicine. However, there is still great controversy about the fundamentals that constitute digital twins, such as what this concept is based on and how it can be included in healthcare effectively and sustainably. This article reviews digital twins and their role so far in what is known as personalized medicine. In addition, a series of steps will be exposed for a possible implementation of a digital twin for a patient suffering from sleep disorders. For this, artificial intelligence techniques, clinical data management, and possible solutions for explaining the results derived from artificial intelligence models will be addressed.
The tale of 1000 cores: an evaluation of concurrency control on real(ly) large multi-socket hardware
(2020)
In this paper, we set out the goal to revisit the results of “Starring into the Abyss [...] of Concurrency Control with [1000] Cores” and analyse in-memory DBMSs on today’s large hardware. Despite the original assumption of the authors, today we do not see single-socket CPUs with 1000 cores. Instead multi-socket hardware made its way into production data centres. Hence, we follow up on this prior work with an evaluation of the characteristics of concurrency control schemes on real production multi-socket hardware with 1568 cores. To our surprise, we made several interesting findings which we report on in this paper.
The typed graph model
(2020)
In recent years, the Graph Model has become increasingly popular, especially in the application domain of social networks. The model has been semantically augmented with properties and labels attached to the graph elements. It is difficult to ensure data quality for the properties and the data structure because the model does not need a schema. In this paper, we propose a schema bound Typed Graph Model with properties and labels. These enhancements improve not only data quality but also the quality of graph analysis. The power of this model is provided by using hyper-nodes and hyper edges, which allows to present a data structure on different abstraction levels. We demonstrate by example the superiority of this model over the property graph data model of Hidders and other prevalent data models, namely the relational, object-oriented, and XML model.