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"Eggert, Mathias"
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Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda
Researching the field of business intelligence and analytics (BI & A) has a long tradition within information systems research. Thereby, in each decade the rapid development of technologies opened new room for investigation. Since the early 1950s, the collection and analysis of structured data were the focus of interest, followed by unstructured data since the early 1990s. The third wave of BI & A comprises unstructured and sensor data of mobile devices. The article at hand aims at drawing a comprehensive overview of the status quo in relevant BI & A research of the current decade, focusing on the third wave of BI & A. By this means, the paper's contribution is fourfold. First, a systematically developed taxonomy for BI & A 3.0 research, containing seven dimensions and 40 characteristics, is presented. Second, the results of a structured literature review containing 75 full research papers are analyzed by applying the developed taxonomy. The analysis provides an overview on the status quo of BI & A 3.0. Third, the results foster discussions on the predicted and observed developments in BI & A research of the past decade. Fourth, research gaps of the third wave of BI & A research are disclosed and concluded in a research agenda.
Journal Article
How to Distribute Charging Requests of Electronic Vehicles? A Reservation-based Approach
The number of electronic vehicles increase steadily while the space for extending the charging infrastructure is limited. In particular in urban areas, where parking spaces in attractive areas are famous, opportunities to setup new charging stations is very limited. This leads to an overload of some very attractive charging stations and an underutilization of less attractive ones. Against this background, the paper at hand presents the design of an e-vehicle reservation system that aims at distributing the utilization of the charging infrastructure, particularly in urban areas. By applying a design science approach, the requirements for a reservation-based utilization approach are elicited and a model for a suitable distribution approach and its instantiation are developed. The artefact is evaluated by simulating the distribution effects based on data of real charging station utilizations.
Journal Article
Generalizability and Applicability of Model-Based Business Process Compliance-Checking Approaches — A State-of-the-Art Analysis and Research Roadmap
With a steady increase of regulatory requirements for business processes, automation support of compliance management is a field garnering increasing attention in Information Systems research. Several approaches have been developed to support compliance checking of process models. One major challenge for such approaches is their ability to handle different modeling techniques and compliance rules in order to enable widespread adoption and application. Applying a structured literature search strategy, we reflect and discuss compliance-checking approaches in order to provide an insight into their generalizability and evaluation. The results imply that current approaches mainly focus on special modeling techniques and/or a restricted set of types of compliance rules. Most approaches abstain from real-world evaluation which raises the question of their practical applicability. Referring to the search results, we propose a roadmap for further research in model-based business process compliance checking.
Journal Article
Business process compliance checking – applying and evaluating a generic pattern matching approach for conceptual models in the financial sector
Given the strong increase in regulatory requirements for business processes the management of business process compliance becomes a more and more regarded field in IS research. Several methods have been developed to support compliance checking of conceptual models. However, their focus on distinct modeling languages and mostly linear (i.e., predecessor-successor related) compliance rules may hinder widespread adoption and application in practice. Furthermore, hardly any of them has been evaluated in a real-world setting. We address this issue by applying a generic pattern matching approach for conceptual models to business process compliance checking in the financial sector. It consists of a model query language, a search algorithm and a corresponding modelling tool prototype. It is (1) applicable for all graph-based conceptual modeling languages and (2) for different kinds of compliance rules. Furthermore, based on an applicability check, we (3) evaluate the approach in a financial industry project setting against its relevance for decision support of audit and compliance management tasks.
Journal Article
The Potential of Configurative Reference Modeling for Business to Government Reporting - A Modeling Technique and its Evaluation1
The steady increase of information requirements imposed by governments and authorities has led to more and more regulations for both firms and governmental organizations. Business to Government (BtG) reporting summarizes all the tasks that are necessary to create legally required reports for the governments. Along with the steady increase of reporting regulations, we have observed a growing effort to manage data warehouses and reporting infrastructures. The overall goal of this paper is to develop a modeling technique that (a) is capable of managing regulatory report requirements, (b) can be used for the development of configurative reference models, and (c) increases the effectiveness and efficiency of conceptual data warehouse design. We demonstrate its usability by applying it to a constructed financial services case using the European Markets in Financial Instruments Directive (MiFID). Two modeling experiments with Information Systems (IS) master's students provide evidence that configurative reference models applied to BtG reporting have a high probability of reducing data warehouse management effort.
Journal Article
Augmenting Analytical CRM Strategies with Social BI
Large communities built around social media on the Internet offer an opportunity to augment analytical customer relationship management (CRM) strategies. The purpose of this paper is to provide direction to advance the conceptual design of business intelligence (BI) systems for implementing CRM strategies. After introducing social CRM and social BI as emerging fields of research, the authors match CRM strategies with a re-engineered conceptual data model of Facebook in order to illustrate the strategic value of these data. Subsequently, the authors design a multi-dimensional data model for social BI and demonstrate its applicability by designing management reports in a retail scenario. Building on the service blueprinting framework, the authors propose a structured research agenda for the emerging field of social BI.
Journal Article
The potential of configurative reference modeling for business to government reporting–a modeling technique and its evaluation
The steady increase of information requirements imposed by governments and authorities has led to more and more regulations for both firms and governmental organizations. Business to Government (BtG) reporting summarizes all the tasks that are necessary to create legally required reports for the governments. Along with the steady increase of reporting regulations, we have observed a growing effort to manage data warehouses and reporting infrastructures. The overall goal of this paper is to develop a modeling technique that (a) is capable of managing regulatory report requirements, (b) can be used for the development of configurative reference models, and (c) increases the effectiveness and efficiency of conceptual data warehouse design.
Journal Article
The Potential of Configurative Reference Modeling for Business to Government Reporting – A Modeling Technique and its Evaluation
The steady increase of information requirements imposed by governments and authorities has led to more and more regulations for both firms and governmental organizations. Business to Government (BtG) reporting summarizes all the tasks that are necessary to create legally required reports for the governments. Along with the steady increase of reporting regulations, we have observed a growing effort to manage data warehouses and reporting infrastructures. The overall goal of this paper is to develop a modeling technique that (a) is capable of managing regulatory report requirements, (b) can be used for the development of configurative reference models, and (c) increases the effectiveness and efficiency of conceptual data warehouse design.
We demonstrate its usability by applying it to a constructed financial services case using the European Markets in Financial Instruments Directive (MiFID). Two modeling experiments with Information Systems (IS) master's students provide evidence that configurative reference models applied to BtG reporting have a high probability of reducing data warehouse management effort.
Journal Article
NAFLD causes selective CD4+ T lymphocyte loss and promotes hepatocarcinogenesis
Non-alcoholic fatty liver disease (NAFLD) is shown to promote hepatocellular carcinoma through the generation of linoleic acid, disruption of mitochondrial function and selective loss of CD4
+
T cells, leading to impaired anti-tumour immunity.
Linking liver disease and cancer
Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease and is recognized as a metabolic predisposition to liver cancer. Using mouse models and samples from patients with NAFLD and healthy controls, Tim Greten and colleagues show that NAFLD promotes hepatocellular carcinoma through the generation of linoleic acid, disruption of mitochondrial function and selective loss of CD4
+
T cells, leading to impaired anti-tumour immunity.
Hepatocellular carcinoma (HCC) is the second most common cause of cancer-related death. Non-alcoholic fatty liver disease (NAFLD) affects a large proportion of the US population and is considered to be a metabolic predisposition to liver cancer
1
,
2
,
3
,
4
,
5
. However, the role of adaptive immune responses in NAFLD-promoted HCC is largely unknown. Here we show, in mouse models and human samples, that dysregulation of lipid metabolism in NAFLD causes a selective loss of intrahepatic CD4
+
but not CD8
+
T lymphocytes, leading to accelerated hepatocarcinogenesis. We also demonstrate that CD4
+
T lymphocytes have greater mitochondrial mass than CD8
+
T lymphocytes and generate higher levels of mitochondrially derived reactive oxygen species (ROS). Disruption of mitochondrial function by linoleic acid, a fatty acid accumulated in NAFLD, causes more oxidative damage than other free fatty acids such as palmitic acid, and mediates selective loss of intrahepatic CD4
+
T lymphocytes.
In vivo
blockade of ROS reversed NAFLD-induced hepatic CD4
+
T lymphocyte decrease and delayed NAFLD-promoted HCC. Our results provide an unexpected link between lipid dysregulation and impaired anti-tumour surveillance.
Journal Article