Hans-Georg Kemper

Bio: Hans-Georg Kemper is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Business intelligence & Data warehouse. The author has an hindex of 15, co-authored 72 publications receiving 2504 citations. Previous affiliations of Hans-Georg Kemper include University of Cologne.

Business Intelligence in the Cloud

Abstract: Business Intelligence (BI) deals with integrated approaches to management support. In many cases, the integrated infrastructures that are subject to BI have become complex, costly, and inflexible. A possible remedy for these issues might arise on the horizon with “Cloud Computing” concepts that promise new options for a net based sourcing of hardand software. Currently, there is still a dearth of concepts for defining, designing, and structuring a possible adaption of Cloud Computing to the domain of BI. This contribution combines results from the outsourcing and the BI literature and derives a framework for delineating “Cloud BI” approaches. This is the bases for the discussion of six possible scenarios – some of which within immediate reach today.

Economic Implications of Additive Manufacturing and the Contribution of MIS

Abstract: This is the author accepted manuscript. The final version is available from Springer at http://link.springer.com/article/10.1007%2Fs12599-015-0374-4.

Combining RFID Technology and Business Intelligence for Supply Chain Optimization Scenarios for Retail Logistics

Abstract: Radio Frequency Identification" (RFID) and the related EPC standards promise to enable an automatic collection of supply chain data for optimization purposes. While extensive research has been done on applications for operational supply chain optimization, there is still a lack of insight into the requirements and benefits of further processing the data within integrated management support infrastructures (Business Intelligence infrastructures) that allow for sharing, integrating, and analyzing RFID data. This paper discusses respective scenarios which were elicited from a transcontinental retail supply chain case. It addresses data collection and integration on the one hand and the relevance of the enabled analyses on the other. The results indicate that the role of Business Intelligence components should not be underestimated when preparing a business case for RFID.

The European commission

Abstract: 2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

Design Principles for Industrie 4.0 Scenarios

Abstract: The increasing integration of the Internet of Everything into the industrial value chain has built the foundation for the next industrial revolution called Industrie 4.0. Although Industrie 4.0 is currently a top priority for many companies, research centers, and universities, a generally accepted understanding of the term does not exist. As a result, discussing the topic on an academic level is difficult, and so is implementing Industrie 4.0 scenarios. Based on a quantitative text analysis and a qualitative literature review, the paper identifies design principles of Industrie 4.0. Taking into account these principles, academics may be enabled to further investigate on the topic, while practitioners may find assistance in identifying appropriate scenarios. A case study illustrates how the identified design principles support practitioners in identifying Industrie 4.0 scenarios.