Now showing 1 - 2 of 2
  • Thumbnail Image
    Some of the metrics are blocked by your 
    Item type:Publication,
    Management of the Master Data Lifecycle: A Framework for Analysis
    (Emerald Group Publ., 2013-05-01) ;
    Straub, Kevin
    ;
    ;
    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 43
  • Thumbnail Image
    Some of the metrics are blocked by your 
    Item type:Publication,
    Integrating a data quality perspective into business process management
    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 40