Carsten Felden

• Prof. Dr.
• Managing Director at TU Bergakademie Freiberg

Information technology (IT) as a strategic asset urges organizations to establish strategic alignment between business and IT stakeholders to maximize the contribution of IT. Yet, they still struggle to effectively communicate the strategic perspective and the business value of IT. In three organizational settings, we conduct action design research...

Digital transformation exercises in companies are large and complex change programs, deployed as a series of change initiatives each addressing specific goals. These initiatives have characteristics that distinguish digital change from other organizational changes. Additionally, studies on the success of digital change differ in conclusions between...

Business units are increasingly able to introduce information technology (IT) into their business processes. Thereby, they implement Shadow IT (SIT) to create flexible and innovative IT solutions. However, the individual implementation of SIT leads to unwanted data and functional redundancies and as a result to inefficiencies and reduced automation...

This open access book shows the breadth and various facets of e-Science, while also illustrating their shared core. Changes in scientific work are driven by the shift to grid-based worlds, the use of information and communication systems, and the existential infrastructure, which includes global collaboration. In this context, the book addresses em...

The development of new products could be a powerful engine for the success of an organization. In order to efficiently design prototypes using Additive Manufacturing techniques, it is advisable to perform Quality Assurance in real time. This can result in saving resources and increasing efficiency. However, it is important that configurations withi...

Zusammenfassung Um die Leistungsfähigkeit der Produktion in der Smart Factory effizient zu gestalten, lassen sich durch Sensoren in Echtzeit erhobene Produktionsdaten zur Qualitätsprüfung nutzen. Damit die Daten, die Informationen und letztendlich das durch algorithmische Analyse generierte Wissen über die Qualität rechtzeitig bereitsteht, sind pas...

Quality management in real time enables increased efficiency of a production process. A multitude of sensors make it possible to collect a large amount of data and builds the basis for a real time fault detection in the Smart Factory. Hence, it is important that this data, the resulting information, and the knowledge generated by the algorithmic an...

In diesem Beitrag werden grundlegende Aspekte und Methoden der Data Science erläutert. Nach dem Vorgehensmodell CRISP-DM sind in den Phasen Data Unterstanding und Data Preparation vor allem Verfahren der Datenselektion, Datenvorverarbeitung und der explorativen Datenanalyse anzuwenden. Beim Modeling, der Hauptaufgabe der Data Science, kann man über...

The implementation of the vision of Industry 4.0 towards the Smart Factory requires, in addition to data collection and constant networking of all devices and machines, the rapid processing of large amounts of data. The concept of Cloud Computing enables central processing, but the latency of the transmission to the cloud requires too much time for...

Business units are increasingly able to fuel the transformation that digitalization demands of organizations. Thereby, they can implement Shadow IT (SIT) without involving a central IT department to create flexible and innovative solutions. Self-reinforcing effects lead to an intertwinement of SIT with the organization. As a result, high complexiti...

The paper investigates the relationships between information technology capability, employee empowerment, innovativeness, and firm performance in German firms. Results of the investigation are compared to a previous study of Polish firms. The same questionnaire was used in both studies, and found that the factors influencing innovation activity are...

The increasing variety of big data technologies in open source communities is challenging organizations to generate value from those advancements. The technology landscape is missing an overall perspective that clarifies the fragmented understanding of technologies, unpredictable lifecycles, and the unknown adoption for organizations to enable thei...

Decision makers in industry use IT systems to enrich task fulfilment with information systematically. Next to engineering-driven concepts, the application of Operational Business Intelligence (OpBI) is discussed to support production-specific decisions and to organize production processes. Currently, this discussion focusses rather on practicabilit...

The development of the Internet of Things (IoT) creates a multitude of new Real Time Analytics (RTA) application possibilities, also in the area of industry. However, already the topic of big data forced the use of analytical solutions which were processed in real time. In order to consider the possible applications of RTA, it is necessary to gathe...

Shadow information technology systems (SITS) coexist with formal enterprise systems in organisations. SITS pose risks but also increase flexibility of business units. Practice shows that SITS emerge, despite that Enterprise Architecture Management (EAM) aims at controling all IT systems in an organization. Studies acknowledge this problem in genera...

In several organizations, business workgroups autonomously implement information technology (IT) outside the purview of the IT department. Shadow IT, evolving as a type of workaround from nontransparent and unapproved end-user computing (EUC), is a term used to refer to this phenomenon, which challenges norms relative to IT controllability. This re...

Various data sources are available in the era of Big Data to increase business understanding. For example, price predictions based on news ticker offers a broad range of valuable information. An automatic analysis is able to support traders in their daily business to maximize profits. But, only little is known about this topic, yet. In cooperation...

Inhalt: 1. Digitalisierung von Wissenschaft und begriffliche Grundlagen 2. E-Science im Freistaat Sachsen 3. Ausblick: Das europäische Projekt „MOVING“

The IT unit is not the only provider of information technology (IT) used in business processes. Aiming for increased performance, many business workgroups autonomously implement IT resources not covered by their organizational IT service management. This is called shadow IT. Risks and inefficiencies associated with this phenomenon challenge organiz...

Billions of events (image, video, tweet, purchase, delivery, or failure) are captured in the era of Big Data and used as training data in business analytic models. But, the event relevance and the consequent effect on a target variable are difficult to ascertain. Contemporaneous events, and not specified market latencies, might lead to a fuzzily de...

The IT unit is not the only provider of information technology (IT) used in business processes. Aiming for increased work performance, many business workgroups autonomously implement IT resources not covered by their organizational IT service management. This is called shadow IT. Associated risks and inefficiencies challenge organizations. This stu...

ERP systems integrate a major part of all business processes and organizations include them in their IT service management. Besides these formal systems, there are additional systems that are rather stand-alone and not included in the IT management tasks. These so-called ‘shadow systems’ also support business processes but hinder a high enterprise...

Steigende Dynamik und Komplexität sind dauerhafte Herausforderungen, denen sich Industrieunternehmen stellen müssen. Im deutschsprachigen Raum ist als Lösungsüberschrift Industrie 4.0 in die Diskussion getreten. Kerngedanke ist die technische Integration von cyberphysischen Systemen sowie von Technologien des Internets der Dinge und Dienste in die...

This paper examines voluntary eXtensible Business Reporting Language (XBRL) adoption intent in 2009 Germany. Our setting provides a unique opportunity to examine voluntary adoption behavior related to a global information technology (IT) in one of the largest non-U.S. economies. In conjunction with the organizing visions framework, we combine techn...

The volatility of the natural gas market founded a need for the ability to analyze upcoming events in real time in order to manage profits and risks for participants. News ticker provide information being of utmost importance for the analysis. The research presented among this paper describes features of a software prototype supporting the analytic...

Though the final extent of the change is difficult to estimate, the perception of e-science as a transformation of the everyday professional lives of scientists (scholars, researchers) is common. Besides, there is only little knowledge about the everyday professional live of scientists. Therefore, it is difficult to measure the change, but that wou...

Operational business intelligence (OpBI) integrates data of business processes to analyse their performance in relation to organizational goals. The consequent decision-making concerns a timely recognition and execution of actions to maintain performant business processes. OpBI systems can be designed according to a firm-specific definition of requ...

In recent decade and with the advent of the eXtensible Business Reporting Language (XBRL), financial reports have a great mutation in terms of a unified reporting process. Nevertheless, the unstructured part of financial reports, so called footnotes, remains as barrier facing an accurate automatic and real-time financial analysis. The purpose of th...

In recent decade and with the advent of the eXtensible Business Reporting Language (XBRL), financial reports have a great mutation in terms of a unified reporting process. Nevertheless, the unstructured part of financial reports, so called footnotes, remains as barrier facing an accurate automatic and real-time financial analysis. The purpose of th...

Operational Business Intelligence (OpBI) supports an analysis and control of business processes by an integration of information systems (IS) from a technical and business perspective. However, determinants of IS integration for OpBI are not systemized by a theoretical basis, yet. This leads to problems in identifying generic benefits and obstacles...

Die Technische Universität Chemnitz und Technische Universität Bergakademie Freiberg führten im Rahmen des LiT-Projekts „FC WInf – Flipped Classroom in der Wirtschaftsinformatik“ ein kooperatives Lernprojekt im Sommersemester 2014 und Wintersemester 2014/2015 durch. Ziel war es, durch die Implementierung von Online-Lerneinheiten die individuelle Se...

Scaling data visualizations to represent large data sets remains one of the top challenges from the last decade. The fast growing amount of data is facing limitations of human perception and of technology as bottlenecks to exploring hidden patterns. This literature review summarizes the boundaries of visual scalability and their influencing factors...

Information Technology (IT) used for business processes is not only provided by the organization's IT department. Business departments and users autonomously implement IT solutions outside of the organizational IT service management. This phenomenon is called Shadow IT. Opportunities for innovation and flexibility, and problems in security, complia...

Service organizations need to consider regularly changing customer requirements in order to continuously adapt the design and control of their services. This enforces an integration of different customer information into a service process. However, the existing conceptual approaches do not provide adequate decision making capabilities to organize k...

XBRL is in an increasing number of countries defined as the obligate format for the transmission of financial data to authorities by legal requirements. The legal requirement itself refers solely to the transmission of the information in XBRL format. How a formatting of a company’s report becomes realized is not regulated. This decision has to be d...

The body of knowledge generated by Business Intelligence (BI) research is constantly extended by a stream of heterogeneous technological and organizational innovations. This paper shows how these can be bundled to a new vision for BI that is aligned with new requirements coming from socio-technical macro trends. The building blocks of the vision co...

Der Wissensfundus der Business-Intelligence-(BI)-Forschung wird durch einen Strom heterogener technologischer und organisatorischer Innovationen kontinuierlich erweitert. Der vorliegende Beitrag zeigt auf, wie sich diese zu einem Leitbild bündeln lassen. Dieses ist für eine Reaktion auf wesentliche sozio-technische Makro-Trends ausgelegt. Die Kompo...

Business Intelligence has “decision support” as a characterizing element. Decisions are done as a selection process based on alternatives. The choice depends on prospective developments whereby those developments are predicted with uncertainty. Due to this reason, forecasts are getting more into focus of the strategic and tactical level. But foreca...

Big Data is an emerging research topic. The term remains fuzzy and jeopardizes to become an umbrella term. Straight forward investigations are inhibited since the research field is not well defined, yet. To identify a common understanding, experts have been interviewed. Hereby, the findings are coded and conceptualized until a descriptive Big Data...

Maturity models are introduced to support the evaluation of the status quo of IT inside a company and to identify next applicable steps, but it has been revealed that Business Intelligence (BI) maturity models are still in a learning phase so far. Existing models are not mainly based within practical environment, yet, so that the positioning of the...

Big Data is an emerging research topic. The term remains fuzzy and jeopardizes to become an umbrella term. Straight forward investigations are inhibited since the research field is not well defined, yet. This paper executes expert interviews to identify a common understanding. Hereby, the findings are coded and conceptualized until a descriptive Bi...

Epidemiology requires the analysis and visualization of massive data sets. The field of cancer statistics in particular is facing the challenging task of visualizing a large data set that contains a wide range of available dimensions. The existing work of epidemiologists has been time-consuming because of visualization techniques that could not be...

There is a consensus (Hoffman and Strand, 2001; Hannon, 2002; Bovee et al., 2005; Willis, 2005; Cox, 2006) that XBRL (Extensible Business Reporting Language) as a technical standard for facilitating transfer and analysis of financial statements could improve the speed and quality of transmitting, analyzing, and even more accurate financial reports...

Business Intelligence promises improved decision making. To meet the changing business requirements, BI has to reduce latency between data acquisition and decision. As a result of growing needs, concepts like Real Time, Active, Operational, Business Performance Management or embedded BI are introduced in the literature. Nevertheless, the technical...

Die Diskussionen um eine Energiewende, um die Einbindung von Haushalten als dezentrale Energieversorger und um die Senkung der Energiekosten zeigen ein Spannungsfeld auf, in dem sie auf Smart Grids als treibende Kräfte wirken. Dieser Beitrag nimmt den öffentlichen Diskurs zu Smart Grids auf und stellt diesen in den Perspektiven Technik, Fachlichkei...

The financial crisis resulted in a loss of trust; not only within the investment or banking sector, but in general between creditors and debtors, because many organizations faced insolvency. Such a financial situation can even result in a company’s bankruptcy. Therefore it is necessary to get a realistic understanding of the solvency or the possibl...

Performance measurement is a knowledge intensive business process and performance measurement systems (PMS) are appropriate tools to collect relevant performance information. Though, the application of many PMS fails. Therefore, there is a vivid debate in the literature about the right design, implementation, and use of PMS. Other contributions des...

Performance measurement systems PMS are necessary to ensure adequate information supply to management, but an information gap exists between process analysis and execution. PMS predominantly rely on countable, objective measures, but are also designed to deliver additional viewpoints to foster necessary explanations to measurements. Still, there is...

Predictive Analytics (ein deutschsprachiger Begriff hat sich bisher nicht ausgeprägt) dient dem Erkenntnisgewinn zur Entscheidungsunterstützung in Unternehmen. Anwendungsgebiete finden wir immer dort, wo komplexe Verfahren zur zukunftsorientierten Datenauswertung notwendig sind. Beispielsweise wird es angesichts einer gestiegenen Kapitalintensität...

Increasing regulatory requirements such as price cap regulation have increased the importance of strategic grid asset management. Empirical studies reveal that information supply and consolidation are error prone and long-term processes. The reason is the missing automation of extraction, transformation, and loading. The current gap does neither fu...

Increasing regulatory requirements such as price cap regulation have increased the importance of strategic grid assetmanagement. Empirical studies reveal that information supply and consolidation are error prone and longterm processes. The reason is the missing automation of extraction, transformation, and loading. The current gap does neither fulf...

Representation and formalization of value models and constellations do not only affect companies' strategies. Even within the process level, the contribution of activities to the value chain has to be obvious to enhance understanding. One important aspect to reach correspondence between the strategic value-oriented business model level and business...

Performance measurement of business processes is necessary to ensure adequate information supply to the management. Though, the assessment of rather qualitative or non-deterministic processes is hard, because common analyzing and controlling approaches are restricted to the use of numeric indicators. Important qualitative performance aspects remain...

Globalization and increased informal networks lead to a dynamic competitive environment in manufacturing, where uncertainties arise from consistently changing customer demands. Their management is a key challenge for growth and sustainability, while there is evidence that organizations cannot achieve an adequate manufacturing flexibility. Therefore...

The term Big Data has an increased and tautological occurrence in scientific publications. It is of interest how and whether the data provisioning is able to support enterprises in the handling and value creation of this emerging issue. Considering the amount of growing publication and the fuzzy nature of this term, an overview is requested to avoi...

The distribution of the eXtensible Business Reporting Language (XBRL) is globally driven by the growing information needs of stakeholders in and around enterprises and by the mandatory reporting requirements of public entities. The aim of this paper is to show the adoption level and the impact parameters of the adoption of the XBRL standard in Germ...

SYNOPSIS The Securities and Exchange Commission (SEC) has adopted the eXtensible Business Reporting Language (XBRL) in a multi-year program to enhance the functionality of the Commission's EDGAR database. Filers tag their financial statements with elements from a taxonomy that defines the reporting concepts so that the XBRL files can be understood...

Measuring performance of business processes is necessary to access information on their efficacy. This enables successful optimization, reengineering and alignment on strategies. In general, measurement is done via numeric KPIs. Though, especially processes of a quantitative, nondeterministic or supportive nature are hard to describe via figures wh...

Zusammenfassung Der Beitrag untersucht den aktuellen Forschungsstand der eXtensible Business Reporting Language (XBRL) und bedient sich dabei der Methodik der Literaturanalyse. Die Ergebnisse zeigen, dass überwiegend ein empirisch-quantitatives Forschungsdesign Anwendung findet. Die Beiträge unterscheiden sich inhaltlich in Forschung über XBRL und...