Product data quality in supply chains: the case of Beiersdorf

Hüner, Kai; Schierning, Andreas; Otto, Boris; Österle, Hubert

doi:10.1007/s12525-011-0059-x

Cited by 33 publications

(31 citation statements)

References 31 publications

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“…This criterion is especially important for data quality metrics requiring expert estimations to determine the configuration parameters or the metric values [cf., e.g., Ballou et al 1998;Hinrichs 2002;Cai and Ziad 2003;Even and Shankaranarayanan 2007;Hüner et al 2011;Heinrich and Hristova 2014]. Here, objectivity is violated if the estimations are provided by too few experts or if external influences such as the particular behavior of the interviewers are not minimized.…”

Section: Requirement 3 (R3): Quality Of the Configuration Parameters mentioning

confidence: 99%

“…Reliability can be analyzed based on the correlation of the results obtained from the different measurements. Thus, data quality metrics which rely on expert estimations [cf., e.g., Ballou et al 1998;Even and Shankaranarayanan 2007;Hüner et al 2011;Heinrich and Hristova 2014] have to define a reliable procedure to determine the configuration parameters and the metric values. Generally, to ensure reliability of the configuration parameters and the metric values, correct database queries or statistical methods may be used.…”

Section: Requirement 3 (R3): Quality Of the Configuration Parameters mentioning

confidence: 99%

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Requirements for Data Quality Metrics

Heinrich

Hristova

Klier

et al. 2017

J. Data and Information Quality

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Data quality and especially the assessment of data quality have been intensively discussed in research and practice alike. To support an economically oriented management of data quality and decision-making under uncertainty, it is essential to assess the data quality level by means of well-founded metrics. However, if not adequately defined, these metrics can lead to wrong decisions and economic losses. Therefore, based on a decision-oriented framework, we present a set of five requirements for data quality metrics. These requirements are relevant for a metric that aims to support an economically oriented management of data quality and decision-making under uncertainty. We further demonstrate the applicability and efficacy of these requirements by evaluating five data quality metrics for different data quality dimensions. Moreover, we discuss practical implications when applying the presented requirements.

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Section: Requirement 3 (R3): Quality Of the Configuration Parameters mentioning

confidence: 99%

Section: Requirement 3 (R3): Quality Of the Configuration Parameters mentioning

confidence: 99%

Requirements for Data Quality Metrics

Heinrich

Hristova

Klier

et al. 2017

J. Data and Information Quality

View full text Add to dashboard Cite

show abstract

“…36 The variety of languages originating from different contextual cultures may cause non-proper interpretation of information services by information consumers. 65,66 On the other hand, dynamism of external business processes leads to the need for change of interaction protocols in a way that be aligned with interaction requirements that are specified by external business processes. Dynamic partnering also intensifies the need for change of interaction protocols to support interaction requirements of a specific party.…”

Section: Sources Of Information Product Quality Issuesmentioning

confidence: 99%

Information Governance in Dynamic Networked Business Process Management

Rasouli

Eshuis

Grefen

et al. 2016

Int. J. Coop. Info. Syst.

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Competition in today's globalized markets forces organizations to collaborate within dynamic business networks to provide mass-customized integrated solutions for customers. The collaboration within dynamic business networks necessitates forming dynamic networked business processes (DNBPs). Networked business processes need to be supported by high quality information that is exchanged in a trustworthy environment. Information governance (IG) is described as a holistic approach to different mechanisms that support high quality and secure information exchanges. However, dynamism of networked business processes causes IG issues like unsecured information access and low quality information products to emerge. In this paper a comprehensive list of the IG issues in DNBPs are identified through structured steps. The identified IG issues are characterized within four main categories, respectively, information product quality, information service quality, information security, and metadata issues. For the evaluation of the practical significance of the identified IG issues, a case study is conducted in a business network that provides mobility solutions. In this way, the paper closes the gap between studies on IG, which have mostly concentrated on IG within the borders of a single organization or IG in stable business networks, and studies on dynamic business networks, which have addressed the formation of dynamic inter-organizational interactions without paying rigorous attention to information artefacts that are exchanged.

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“…On the other hand, research studies on IG in the context of BNs have been concentrated on stable BNs like conventional supply chains (e.g. [11]), and consequently emerging IG issues in dynamic BNs have not been sufficiently addressed. In order to close the described gap among the research in the context of IG and dynamic BNs, in this paper we address this research question "how IG can ensure providing high quality information for decision making and operations in service-oriented BNs?…”

Section: Introductionmentioning

confidence: 99%

Information Governance as a Dynamic Capability in Service Oriented Business Networking

Rasouli

Eshuis

Trienekens

et al. 2016

IFIP Advances in Information and Communication Technology

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The need for co-creating integrated solutions with customers through deep collaborations with globally distributed suppliers in the current business environment increasingly highlights the importance of service orientation in business networks (BNs). Service orientation in BNs stresses the need for composing and enacting dynamic networked business processes to support rapid responses to market opportunities. Well-established decisions for composing dynamic networked business processes and their constant enactment require high quality information exchanges among collaborating parties. Information governance (IG) is a holistic approach comprising different mechanisms that supports high quality information exchanges. In this paper the IG functionalities are identified that support ensuring high quality information exchanges among collaborating parties in service-oriented BNs. The practical relevance of the identified IG functionalities is discussed in a BN that intends to provide integrated mobility solutions. In this way, from a governance point of view, the paper intends to close the gap between information and process aspects of inter-organizational interactions among parties collaborating in dynamic value networks.

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Product data quality in supply chains: the case of Beiersdorf

Cited by 33 publications

References 31 publications

Requirements for Data Quality Metrics

Requirements for Data Quality Metrics

Information Governance in Dynamic Networked Business Process Management

Information Governance as a Dynamic Capability in Service Oriented Business Networking

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