IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v57y2015i1p27-36.html
   My bibliography  Save this article

Capturing Enterprise Data Integration Challenges Using a Semiotic Data Quality Framework

Author

Listed:
  • John Krogstie

Abstract

Enterprises have a large amount of data available, represented in different formats normally accessible for different specialists through different tools. Integrating existing data, also those from more informal sources, can have great business value when used together as discussed for instance in connection to big data. On the other hand, the level of integration and exploitation will depend both on the data quality of the sources to be integrated, and on how data quality of the different sources matches. Whereas data quality frameworks often consist of unstructured list of characteristics, here a framework is used which has been traditionally applied for enterprise and business model quality, with the data quality characteristics structured relative to semiotic levels, which makes it easier to compare aspects in order to find opportunities and challenges for data integration. A case study presenting the practical application of the framework illustrates the usefulness of the approach for this purpose. This approach reveals opportunities, but also challenges when trying to integrate data from different data sources typically used by people in different roles in an organization. Copyright Springer Fachmedien Wiesbaden 2015

Suggested Citation

  • John Krogstie, 2015. "Capturing Enterprise Data Integration Challenges Using a Semiotic Data Quality Framework," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(1), pages 27-36, February.
    • Handle: RePEc:spr:binfse:v:57:y:2015:i:1:p:27-36
    DOI: 10.1007/s12599-014-0365-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s12599-014-0365-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s12599-014-0365-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kelle, Peter & Akbulut, Asli, 2005. "The role of ERP tools in supply chain information sharing, cooperation, and cost optimization," International Journal of Production Economics, Elsevier, vol. 93(1), pages 41-52, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Armel Lefebvre & Marco Spruit, 2023. "Laboratory Forensics for Open Science Readiness: an Investigative Approach to Research Data Management," Information Systems Frontiers, Springer, vol. 25(1), pages 381-399, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Judit Oláh & Attila Bai & György Karmazin & Péter Balogh & József Popp, 2017. "The Role Played by Trust and Its Effect on the Competiveness of Logistics Service Providers in Hungary," Sustainability, MDPI, vol. 9(12), pages 1-22, December.
    2. Goknur Arzu Akyuz & Guner Gursoy, 2020. "Strategic management perspectives on supply chain," Management Review Quarterly, Springer, vol. 70(2), pages 213-241, May.
    3. Crnkovic, Jakov & Tayi, Giri K. & Ballou, Donald P., 2008. "A decision-support framework for exploring supply chain tradeoffs," International Journal of Production Economics, Elsevier, vol. 115(1), pages 28-38, September.
    4. Sivadasan, Suja & Smart, Janet & Huaccho Huatuco, Luisa & Calinescu, Anisoara, 2013. "Reducing schedule instability by identifying and omitting complexity-adding information flows at the supplier–customer interface," International Journal of Production Economics, Elsevier, vol. 145(1), pages 253-262.
    5. Teo, Thompson S.H. & Lin, Sijie & Lai, Kee-hung, 2009. "Adopters and non-adopters of e-procurement in Singapore: An empirical study," Omega, Elsevier, vol. 37(5), pages 972-987, October.
    6. Sang M. Lee & David L. Olson & Sang-Heui Lee & Taewon Hwang & Matt S. Shin, 2007. "Entrepreneurial applications of the lean approach to service industries," The Service Industries Journal, Taylor & Francis Journals, vol. 28(7), pages 973-987, November.
    7. Wang, Hui & Gong, Qiguo & Wang, Shouyang, 2017. "Information processing structures and decision making delays in MRP and JIT," International Journal of Production Economics, Elsevier, vol. 188(C), pages 41-49.
    8. AlDurgam, Mohammad & Adegbola, Kehinde & Glock, Christoph H., 2017. "A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate," International Journal of Production Economics, Elsevier, vol. 191(C), pages 335-350.
    9. Li, Ling & Markowski, Carol & Xu, Li & Markowski, Edward, 2008. "TQM--A predecessor of ERP implementation," International Journal of Production Economics, Elsevier, vol. 115(2), pages 569-580, October.
    10. Tian, Xiaoge & Chen, Weiming & Hu, Jinglu, 2023. "Game-theoretic modeling of power supply chain coordination under demand variation in China: A case study of Guangdong Province," Energy, Elsevier, vol. 262(PA).
    11. Ágota Bányai, 2013. "How To Support Purchasing With Erp Systems As Integrator Of Novel Logistic Tools?," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 7(1), pages 7-12, December.
    12. Santosh Kumar Pattanayak & Supriyo Roy & Biswajit Satpathy, 2019. "Does Integration of Business Processes and ERP Improves Supply Chain Performances? Evidence from Indian Capital Goods Industry," Vision, , vol. 23(4), pages 341-356, December.
    13. Bigdeli, Alinaghi Ziaee & Kamal, Muhammad Mustafa & de Cesare, Sergio, 2013. "Electronic information sharing in local government authorities: Factors influencing the decision-making process," International Journal of Information Management, Elsevier, vol. 33(5), pages 816-830.
    14. Mohamed Z. Elbashir & Steve G. Sutton & Habib Mahama & Vicky Arnold, 2021. "Unravelling the integrated information systems and management control paradox: enhancing dynamic capability through business intelligence," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1775-1814, April.
    15. Li, Gang & Yang, Hongjiao & Sun, Linyan & Sohal, Amrik S., 2009. "The impact of IT implementation on supply chain integration and performance," International Journal of Production Economics, Elsevier, vol. 120(1), pages 125-138, July.
    16. Shekhar & Debadyuti Das, 2023. "Enablers of ‘Creating Shared Value’: A Total Interpretive Structural Modeling–Polarity Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 291-318, June.
    17. Iryna Lukyanova & Abubaker Haddud & Anshuman Khare, 2022. "Types of ERP Systems and Their Impacts on the Supply Chains in the Humanitarian and Private Sectors," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    18. Hayami, Hitoshi & Nakamura, Masao & Nakamura, Alice O., 2015. "Economic performance and supply chains: The impact of upstream firms׳ waste output on downstream firms׳ performance in Japan," International Journal of Production Economics, Elsevier, vol. 160(C), pages 47-65.
    19. Choi, Tsan Ming & Chow, Pui Sze & Liu, Shuk Ching, 2013. "Implementation of fashion ERP systems in China: Case study of a fashion brand, review and future challenges," International Journal of Production Economics, Elsevier, vol. 146(1), pages 70-81.
    20. Yeung, Jeff Hoi Yan & Selen, Willem & Zhang, Min & Huo, Baofeng, 2009. "The effects of trust and coercive power on supplier integration," International Journal of Production Economics, Elsevier, vol. 120(1), pages 66-78, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:57:y:2015:i:1:p:27-36. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.