IDEAS home Printed from https://ideas.repec.org/a/inm/orserv/v9y2017i4p275-287.html
   My bibliography  Save this article

Value-Driven Strategic Sourcing Based on Service-Dominant Logic

Author

Listed:
  • Laleh Rafati

    (Center for Service Intelligence, Faculty of Economics and Business Administration, Ghent University, 9000 Ghent, Belgium)

  • Geert Poels

    (Center for Service Intelligence, Faculty of Economics and Business Administration, Ghent University, 9000 Ghent, Belgium)

Abstract

Currently, procurement is approached as a tactical process focused on spend management. The aim of this process is the identification of cost savings. A new paradigm of procurement is emerging that recognizes procurement as a value creation practice. This paradigm, referred to as value-driven strategic sourcing, lacks instruments for implementation. This paper presents a new conceptual modeling approach for exploring and evaluating sourcing alternatives that is based on a systemic view of value cocreation. Our approach, called CARS (which stands for capability, actor, resource, and service), is the result of a design science research project. This paper presents the underlying conceptualization of CARS, which was constructed through a mapping between service ecosystem concepts grounded in service-dominant logic and the viable system approach and strategic sourcing concepts derived from the resource-based view theory of competitive advantage, the dynamic capability theory, and the relational view theory of cooperation and competition. Apart from presenting the theoretical foundation of CARS, we also demonstrate by means of a case study of sustainable procurement in a global materials technology company how a model-based approach based on CARS helps in implementing value-driven strategic sourcing. The case study provides a proof of concept of the potential utility of our approach as it addresses specific problems with the company’s current procurement practices.

Suggested Citation

  • Laleh Rafati & Geert Poels, 2017. "Value-Driven Strategic Sourcing Based on Service-Dominant Logic," Service Science, INFORMS, vol. 9(4), pages 275-287, December.
    • Handle: RePEc:inm:orserv:v:9:y:2017:i:4:p:275-287
    DOI: 10.1287/serv.2017.0190
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/serv.2017.0190
    Download Restriction: no
    File URL: https://libkey.io/10.1287/serv.2017.0190?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
    ---><---

    References listed on IDEAS

    as
    1. John Venable & Jan Pries-Heje & Richard Baskerville, 2016. "FEDS: a Framework for Evaluation in Design Science Research," European Journal of Information Systems, Taylor & Francis Journals, vol. 25(1), pages 77-89, 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. William A. Muir & Daniel Reich, 2021. "Using Machine Learning to Improve Public Reporting on U.S. Government Contracts," Interfaces, INFORMS, vol. 51(6), pages 463-479, November.

    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. Raffaele Fabio Ciriello & Alexandra Cecilie Gjøl Torbensen & Magnus Rotvit Perlt Hansen & Christoph Müller-Bloch, 2023. "Blockchain-based digital rights management systems: Design principles for the music industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    2. Tom Lewandowski & Emir Kučević & Stephan Leible & Mathis Poser & Tilo Böhmann, 2023. "Enhancing conversational agents for successful operation: A multi-perspective evaluation approach for continuous improvement," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-20, December.
    3. Hendrik Haße & Hendrik Valk & Frederik Möller & Boris Otto, 2022. "Design Principles for Shared Digital Twins in Distributed Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 751-772, December.
    4. Joshua Holstein & Max Schemmer & Johannes Jakubik & Michael Vössing & Gerhard Satzger, 2023. "Sanitizing data for analysis: Designing systems for data understanding," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-18, December.
    5. Moutinho, José da Assunção & Fernandes, Gabriela & Rabechini, Roque, 2024. "Evaluation in design science: A framework to support project studies in the context of University Research Centres," Evaluation and Program Planning, Elsevier, vol. 102(C).
    6. Julius Peter Landwehr & Niklas Kühl & Jannis Walk & Mario Gnädig, 2022. "Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 707-728, December.
    7. Christian Meske & Enrico Bunde, 2023. "Design Principles for User Interfaces in AI-Based Decision Support Systems: The Case of Explainable Hate Speech Detection," Information Systems Frontiers, Springer, vol. 25(2), pages 743-773, April.
    8. João Barata & Paulo Rupino Cunha & António Dias Figueiredo, 2023. "Self-reporting Limitations in Information Systems Design Science Research," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(2), pages 143-160, April.
    9. Dedi I. Inan & Ghassan Beydoun & Biswajeet Pradhan, 2022. "Disaster Management Knowledge Analysis Framework Validated," Information Systems Frontiers, Springer, vol. 24(6), pages 2077-2097, December.
    10. Pascal Fechner & Fabian König & Jannik Lockl & Maximilian Röglinger, 2024. "How Artificial Intelligence Challenges Tailorable Technology Design," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(3), pages 357-376, June.
    11. Albanese, Massimo, 2023. "Reviewing literature through multidimensional representations," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    12. Quick, Reiner & Münch, M. & Mayer, J. H., 2023. "Lessons Learned from a Case Study: a Diamond Model for Implementing and Scaling Process Mining," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 142479, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    13. Julia Brasse & Hanna Rebecca Broder & Maximilian Förster & Mathias Klier & Irina Sigler, 2023. "Explainable artificial intelligence in information systems: A review of the status quo and future research directions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-30, December.
    14. Helena M. Müller & Melanie Reuter-Oppermann, 2024. "Designing Behavior Change Support Systems Targeting Blood Donation Behavior," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(3), pages 299-319, June.
    15. Lukas-Valentin Herm & Christian Janiesch & Alexander Helm & Florian Imgrund & Adrian Hofmann & Axel Winkelmann, 2023. "A framework for implementing robotic process automation projects," Information Systems and e-Business Management, Springer, vol. 21(1), pages 1-35, March.

    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:inm:orserv:v:9:y:2017:i:4:p:275-287. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.