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PublicationLife Engineering(Springer, 2020-01-10)This paper is a call for a discipline Life Engineering. For more than fifty years, Business Engineering (initially referred to as systems analysis) has been concerned with the use of information technology for the benefit of companies and other organizations, for example through electronic markets. In the past twenty years, machine intelligence has increasingly changed human life, while science offers little help in controlling change for the good of mankind.Type:Journal:Volume:Issue:
Scopus© Citations 9 -
PublicationUser, Use & Utility Research: The Digital User as New Design Perspective in Business and Information Systems Engineering(Springer Gabler, 2014-02-01)
Scopus© Citations 60 -
PublicationUser, Use & Utility Research : Die Gestaltungsperspektive der Wirtschaftsinformatik auf den digitalen Nutzer(Springer Gabler, 2014-02-01)
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PublicationBusiness value of in-memory technology - multiple-case study insights(Emerald, 2014)Abstract Purpose - The purpose of this paper is to assess the business value of in-memory computing technology by analyzing its organizational impact in different application scenarios. Design/methodology/approach - This research applies a multiple-case study methodology analyzing five cases of in-memory computing application scenarios in five large European industrial and service-sector companies. Findings - Results show that in-memory computing can deliver business value in various applications ranging from advanced analytic insights to support of real-time processes. This enables higher-level organizational advantages like data-driven decision making, superior transparency of operations, and experience with Big Data technology. The findings are summarized in a business value generation model which captures the business benefits along with preceding enabling changes in the organizational environment. Practical implications - Results aid managers in identifying different application scenarios where in-memory computing technology may generate value for their organizations from business and IT management perspectives. The research also sheds light on the socio-technical factors that influence the likelihood of success or failure of in-memory computing initiatives. Originality/value - This research is among the first to model the business value creation process of in-memory technology based on insights from multiple implemented applications in different industries. Paper type Case StudyType:Journal:Volume:Issue:
Scopus© Citations 20 -
PublicationDigital services for consumers(Springer, 2014-12-01)Type:Journal:Volume:Issue:
Scopus© Citations 31 -
PublicationManagement of the Master Data Lifecycle: A Framework for Analysis(Emerald Group Publ., 2013-05-01)Purpose - The purpose of the paper is to propose a reference model describing a holistic view of the master data lifecycle, including strategic, tactical and operational aspects. The Master Data Lifecycle Management (MDLM) map provides a structured approach to analyze the master data lifecycle.Design/methodology/approach - Embedded in a design oriented research process, the paper applies the Component Business Model (CBM) method and suggests a reference model which identifies the business components required to manage the master data lifecycle. CBM is a patented IBM method to analyze the key components of a business domain. The paper uses a participative case study to evaluate the suggested model.Findings - Based on a participative case study, the paper shows how the reference model allows to analyze the master data lifecycle on a strategic, a tactical and an operational level, and how it helps identify areas of improvement.Research limitations/implications - The paper presents design work and a participative case study. The reference model is grounded in existing literature and represents a comprehensive framework forming the foundation for future analysis of the master data lifecycle. Furthermore, the model represents an abstraction of an organization's master data lifecycle. Hence, it forms a theory for designing More research is needed in order to more thoroughly evaluate the presented model in a variety of real-life settings.Practical implications - The paper shows how the reference model enables practitioners to analyze the master data lifecycle and how it helps identify areas of improvement.Originality/value - The paper reports on an attempt to establish a holistic view of the master data lifecycle, including strategic, tactical and operational aspects, in order to provide more comprehensive support for its analysis and improvement.Type:Journal:Volume:Issue:
Scopus© Citations 34 -
PublicationIntegrating a data quality perspective into business process management(Emerald, 2012-10-01)Purpose: The purpose of this paper is to conceptualize data quality (DQ) in the context of business process management and to propose a DQ oriented approach for business process modeling. The approach is based on key concepts and metrics from the data quality management domain and supports decision-making in process re-design projects on the basis of process models.Design/methodology/approach: The paper applies a design oriented research approach, in the course of which a modeling method is developed as a design artifact. To do so, method engineering is used as a design technique. The artifact is theoretically founded and incorporates DQ considerations into process re-design. Furthermore, the paper uses a case study to evaluate the suggested approach.Findings: The paper shows that the DQ oriented process modeling approach facilitates and improves managerial decision-making in the context of process re-design. Data quality is considered as a success factor for business processes and is conceptualized using a rule-based approach.Research limitations/implications: The paper presents design research and a case study. More research is needed to triangulate the findings and to allow generalizability of the results.Practical implications: The paper supports decision-makers in enterprises in taking a DQ perspective in business process re-design initiatives.Originality/value: The paper reports on integrating DQ considerations into business process management in general and into process modeling in particular, in order to provide more comprehensive decision-making support in process re-design projects. The paper represents one of the first contributions to literature regarding a contemporary phenomenon of high practical and scientific relevance.Type:Journal:Volume:Issue:
Scopus© Citations 33 -
PublicationToward a functional reference model for master data quality management(Springer, 2012-09-01)The quality of master data has become an issue of increasing prominence in companies. One reason for that is the growing number of regulatory and legal provisions companies need to comply with. Another reason is the growing importance of information systems supporting decision-making, requiring master data that is up-to-date, accurate and complete. While improving and maintainingmaster data quality is an organizational task that cannot be encountered by simply implementing a suitable software system, system support is mandatory in order to be able to meet challenges efficiently and make for good results. This paper describes the design process toward a functional reference model for master data quality management (MDQM). The model design process spanned several iterationscomprising multiple design and evaluation cycles, including the model's application in a participative case study at consumer goods manufacturer Beiersdorf. Practitioners may use the reference model as an instrument for the analysis, design and implementation of a company's MDQM system landscape. Moreover, the reference model facilitates evaluation of software systems and supports company-internal and external communication. From a scientific perspective, the reference model is a design artifact; hence it represents a theory for designing information systems in the area of MDQMType:Journal:Volume:Issue:
Scopus© Citations 38 -
PublicationCollaborative management of business metadata(Elsevier, 2011-08-01)Legal provisions, cross-company data exchange and intra-company reporting or planning procedures require comprehensively, timely, unambiguously and understandably specified business objects (e.g. materials, customers, and suppliers). On the one hand, this business metadata has to cover miscellaneous regional peculiarities in order to enable business activities anywhere in the world. On the other hand, data structures need to be standardized throughout the entire company in order to be able to perform global spend analysis, for example. In addition, business objects should adapt to new market conditions or regulatory requirements as quickly and consistently as possible. Centrally organized corporate metadata managers (e.g. within a central IT department) are hardly able to meet all these demands. They should be supported by key users from several business divisions and regions, who contribute expert knowledge. However, despite the advantages regarding high metadata quality on a corporate level, a collaborative metadata management approach of this kind has to ensure low effort for knowledge contributors as in most cases these regional or divisional experts do not benefit from metadata quality themselves. Therefore, the paper at hand identifies requirements to be met by a business metadata repository, which is a tool that can effectively support collaborative management of business metadata. In addition, the paper presents the results of an evaluation of these requirements with business experts from various companies and of scenario tests with a wiki-based prototype at the company Bayer CropScience AG. The evaluation shows two things: First, collaboration is a success factor when it comes to establishing effective business metadata management and integrating metadata with enterprise systems, and second, semantic wikis are well suited to realizing business metadata repositories.Type:Journal:Volume:Issue:
Scopus© Citations 30 -
PublicationFachliches Metadatenmanagement mit einem semantischen Wiki(d-punkt, 2011-02-01)
