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Boris Otto
Former Member
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Prof. Dr.
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Otto
First name
Boris
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1 - 10 of 127
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PublicationType: journal articleJournal: ephemeraVolume: 15Issue: 1
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PublicationManagement of the Master Data Lifecycle: A Framework for AnalysisPurpose - 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 articleJournal: Journal of Enterprise Information ManagementVolume: 26Issue: 4
Scopus© Citations 34 -
PublicationToward a business model reference for interoperability servicesThe importance of interoperability for businesses is undoubted. After an evolution from electronic data interchange to interoperability in electronic business and enterprise interoperability both the scientific and the practitioners' community are today discussing the notion of interoperability service utilities. Furthermore, researchers are studying decentralized and distributed interoperability approaches such as peer-to-peer networks, for example. However, a comprehensive investigation of business models for such decentralized approaches to interoperability is still missing. Drawing from recent literature on business modeling on the one hand and interoperability research on the other hand this paper designs a business model reference for interoperability services. The business model reference assumes interoperability information as an economic good and is applied in two case studies and evaluated from multiple perspectives. The paper contributes to the scientific body of knowledge as it proposes a novel design artifact which lays the foundation for a number of future research opportunities.Type: journal articleJournal: Computers in IndustryVolume: 64Issue: 8
Scopus© Citations 11 -
PublicationIntegrating a data quality perspective into business process managementPurpose: 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 articleJournal: Business Process Management Journal (BPMJ)Volume: 18Issue: 6
Scopus© Citations 33 -
PublicationHow to design the master data architecture: Findings from a case study at BoschMaster data management (MDM) is a topic of increasing prominence both in the scientific and in the practitioners' information systems (IS) community. As a prerequisite for meeting strategic business requirements, such as compliance with regulations, business integration, or integrated customer management, MDM comprises numerous activities. One of the central activities is designing and maintaining the master data architecture. Interestingly, though, the scientific community has remained almost silent with regard to the question as to how companies should proceed when designing the master data architecture. In order to shed light on this unexplored topic, the paper at hand presents the findings of a case study at Bosch Group. The case study shows that designing the master data architecture is a multidimensional task which requires balancing the interests of various organizational stakeholders, managing an array of technical opportunities, and meeting requirements of numerous master data classes. Also, the case study suggests that taking advantage of architectural design patterns may be an appropriate way to adequately address the complexity of the task.Type: journal articleJournal: International Journal of Information Management (IJTM)Volume: 32Issue: 4
Scopus© Citations 38 -
PublicationManaging the business benefits of product data management: the case of FestoPurpose The paper seeks to investigate the question as to how the business benefits of product data management (PDM) can be assessed and realized. In particular, it aims at understanding the means-end relationship between PDM and product data on the one hand and a company's business goals on the other hand.Design/methodology/approach The paper uses a case study research approach. The case of Festo is unique and allows for detailed examination of both the business benefits of PDM and of the inter-dependencies of various business benefit enablers. Due to the limited amount of scientific knowledge with regard to the management of PDM business benefits, the study is exploratory in nature. The conceptual framework used to guide the study combines business engineering concepts and the business dependency network technique.Findings The findings are threefold. First, the paper explicates and details the understanding of the nature of PDM business benefits. Second, it provides insight into the complexity and interdependency of various means such as data ownership, product data standards, for example and the ends of PDM, namely the contribution to a company's business goals. Third, the paper forms the baseline for a comprehensive method supporting the management of PDM business benefits.Research limitations/implications Single-case studies require further validation of findings. Thus, future research should aim at replicating the findings and at developing a comprehensive method for the management of PDM business benefits.Practical implications Companies may take up the results as a blueprint for their own PDM activities and may reflect their own business benefits against the case of Festo.Originality/value The paper is one of the first contributions focusing on the means-end relationship between PDM and product data on the one hand and a company's business goals on the other.Type: journal articleJournal: Journal of Enterprise Information ManagementVolume: 25Issue: 3
Scopus© Citations 11 -
PublicationA characteristics framework for Semantic Information Systems StandardsSemantic Information Systems (IS) Standards play a critical role in the development of the networked economy. While their importance is undoubted by all stakeholders-such as businesses, policy makers, researchers, developers-the current state of research leaves a number of questions unaddressed. Terminological confusion exists around the notions of business semantics, business-to-business interoperability, and interoperability standards amongst others. And, moreover, a comprehensive understanding about the characteristics of Semantic IS Standards is missing. The paper addresses this gap in literature by developing a characteristics framework for Semantic IS Standards. Two case studies are used to check the applicability of the framework in a real-life context. The framework lays the foundation for future research in an important field of the IS discipline and supports practitioners in their efforts to analyze, compare, and evaluate Semantic IS Standards.Type: journal articleJournal: Information Systems and e-Business ManagementVolume: 10Issue: 4
Scopus© Citations 1 -
PublicationToward a functional reference model for master data quality managementThe 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 articleJournal: Information Systems and e-Business ManagementVolume: 10Issue: 3
Scopus© Citations 38 -
PublicationCollaborative management of business metadataLegal 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 articleJournal: International Journal of Information Management (IJTM)Volume: 31Issue: 4
Scopus© Citations 30 -
PublicationType: journal articleJournal: HMD : Praxis der WirtschaftsinformatikVolume: 48Issue: 1DOI: 10.1007/BF03340553