IDEAS home Printed from https://ideas.repec.org/a/rnd/arjebs/v9y2017i3p180-191.html
   My bibliography  Save this article

The use of Postponement Decisions in Determining Supply Chain Strategies of Light Vehicle Manufacturers in South Africa

Author

Listed:
  • Intaher Marcus Ambe

Abstract

This article investigates the use of postponement decisions in determining the supply chain strategies of light vehicle manufacturers in South Africa. The article is exploratory and descriptive in nature. A survey was conducted among light vehicle manufacturers and the findings analysed by means of descriptive statistics. The results revealed that postponement decisions could be used to determine the supply chain architecture used by light vehicle manufacturers in South Africa. With regard to postponement decisions, the study found that all the light vehicle manufacturers made use of a lean supply chain strategy, while a few made use of an agile supply chain strategy. The results also revealed that all the production lines engaged in full speculation based on projected forecasting, and therefore employed a lean supply chain strategy. In terms of the postponement decisions made in line with the parent company of origin, European manufacturers 1 and 2 kept a work-in-progress inventory of stock to be customised for a particular customer. These manufacturers thus employed a lean and agile supply chain strategy, while most of the manufacturers adopted a lean supply chain strategy. All the manufacturers, except Asian manufacturer 1 and the American manufacturer, employed both lean and agile supply chain strategies. Therefore, the majority of the light vehicle manufacturers employed lean supply chain strategies in their inbound and outbound supply chain, while a few employed an agile supply chain strategy in their outbound supply chain, there by indicating leaglity. The article provides evidence of some form of postponement practice being followed by light vehicle manufacturers.

Suggested Citation

  • Intaher Marcus Ambe, 2017. "The use of Postponement Decisions in Determining Supply Chain Strategies of Light Vehicle Manufacturers in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 9(3), pages 180-191.
    • Handle: RePEc:rnd:arjebs:v:9:y:2017:i:3:p:180-191
    DOI: 10.22610/jebs.v9i3(J).1757
    as

    Download full text from publisher

    File URL: https://ojs.amhinternational.com/index.php/jebs/article/view/1757/1455
    Download Restriction: no
    File URL: https://ojs.amhinternational.com/index.php/jebs/article/view/1757
    Download Restriction: no
    File URL: https://libkey.io/10.22610/jebs.v9i3(J).1757?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. Chong Ju Choi & Carla C. J. M. Millar & Caroline Y. L. Wong, 2005. "Knowledge and the State," Palgrave Macmillan Books, in: Knowledge Entanglements, chapter 0, pages 19-38, Palgrave Macmillan.
    2. Gunasekaran, Angappa & Lai, Kee-hung & Edwin Cheng, T.C., 2008. "Responsive supply chain: A competitive strategy in a networked economy," Omega, Elsevier, vol. 36(4), pages 549-564, August.
    Full references (including those not matched with items on IDEAS)

    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. Camélia Dadouchi & Bruno Agard, 2021. "Recommender systems as an agility enabler in supply chain management," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1229-1248, June.
    2. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
    3. Xiao-Bai Li & Jialun Qin, 2017. "Anonymizing and Sharing Medical Text Records," Information Systems Research, INFORMS, vol. 28(2), pages 332-352, June.
    4. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    5. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    6. Joanna Sokolowska & Patrycja Sleboda, 2015. "The Inverse Relation Between Risks and Benefits: The Role of Affect and Expertise," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1252-1267, July.
    7. Donald R. Haurin & Stuart S. Rosenthal, 2009. "Language, Agglomeration and Hispanic Homeownership," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(2), pages 155-183, June.
    8. Jong Won Min, 2019. "The Influence of Stigma and Views on Mental Health Treatment Effectiveness on Service Use by Age and Ethnicity: Evidence From the CDC BRFSS 2007, 2009, and 2012," SAGE Open, , vol. 9(3), pages 21582440198, September.
    9. Zhan (Michael) Shi & T. S. Raghu, 2020. "An Economic Analysis of Product Recommendation in the Presence of Quality and Taste-Match Heterogeneity," Information Systems Research, INFORMS, vol. 31(2), pages 399-411, June.
    10. Voxi Amavilah & Antonio R. Andrés, 2014. "Globalization, Peace & Stability, Governance, and Knowledge Economy," Research Africa Network Working Papers 14/012, Research Africa Network (RAN).
    11. Alwang, Jeffrey & Larochelle, Catherine & Barrera, Victor, 2017. "Farm Decision Making and Gender: Results from a Randomized Experiment in Ecuador," World Development, Elsevier, vol. 92(C), pages 117-129.
    12. Yanina Welp & Ferran Urgell & Eduard Aibar, 2007. "From Bureaucratic Administration to Network Administration? An Empirical Study on E-Government Focus on Catalonia," Public Organization Review, Springer, vol. 7(4), pages 299-316, December.
    13. Dominik Oehlschläger & Andreas H. Glas & Michael Eßig, 2024. "How Digital Twins Impact Responsiveness: A Dynamic Fit Approach to Information Processing for High-Involvement Product Demand Management," Schmalenbach Journal of Business Research, Springer, vol. 76(4), pages 661-706, December.
    14. Brent Hammer & Helen Vallianatos & Candace Nykiforuk & Laura Nieuwendyk, 2015. "Perceptions of healthy eating in four Alberta communities: a photovoice project," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(4), pages 649-662, December.
    15. Amine Dadoun & Michael Defoin-Platel & Thomas Fiig & Corinne Landra & Raphaël Troncy, 2021. "How recommender systems can transform airline offer construction and retailing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 301-315, June.
    16. Lun, Y.H. Venus & Browne, Michael & Lai, Kee-hung & Wong, Christina W.Y. & Cheng, T.C.E., 2011. "Examining the influence of firm performance on business risk-taking and the mediation effect of scale of operations in the container terminal industry," Research in Transportation Economics, Elsevier, vol. 32(1), pages 64-70.
    17. Monideepa Tarafdar & Sufian Qrunfleh, 2017. "Agile supply chain strategy and supply chain performance: complementary roles of supply chain practices and information systems capability for agility," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 925-938, February.
    18. Parag, Yael & Darby, Sarah, 2009. "Consumer-supplier-government triangular relations: Rethinking the UK policy path for carbon emissions reduction from the UK residential sector," Energy Policy, Elsevier, vol. 37(10), pages 3984-3992, October.
    19. Ivanov, Dmitry & Sokolov, Boris, 2013. "Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty," European Journal of Operational Research, Elsevier, vol. 224(2), pages 313-323.
    20. Umberto Panniello & Michele Gorgoglione & Alexander Tuzhilin, 2016. "Research Note—In CARSs We Trust: How Context-Aware Recommendations Affect Customers’ Trust and Other Business Performance Measures of Recommender Systems," Information Systems Research, INFORMS, vol. 27(1), pages 182-196, March.

    More about this item

    Statistics

    Access and download statistics

    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:rnd:arjebs:v:9:y:2017:i:3:p:180-191. 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: Muhammad Tayyab (email available below). General contact details of provider: https://ojs.amhinternational.com/index.php/jebs .

    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.