IDEAS home Printed from https://ideas.repec.org/a/rnd/arimbr/v16y2024i3p292-302.html
   My bibliography  Save this article

The Determinants of Supply Chain Performance in Manufacturing Industries: A Case Study of Proton Malaysia

Author

Listed:
  • INTAN LIANA SUHAIME
  • NANI SHUHADA SEHAT
  • SITI ROHANA DAUD
  • JUMAELYA JOGERAN

Abstract

This study examines the key elements that significantly impact supply chain performance in Proton Malaysia, a prominent participant in the automotive sector in Southeast Asia. The objective is to understand the impact of crucial factors on Proton's supply chain's performance, including information quality, information technology, information sharing, big data analytics capacity, supply chain integration, traceability, and agility. The study used a qualitative research methodology to examine Proton's supply chain dynamics, focussing on its strategic collaboration with Geely and the incorporation of new technology. Both primary and secondary data are utilized for analysis. The results demonstrate that Proton's focus on up-to-date information, sophisticated analysis, and robust supplier connections has greatly improved its ability to respond quickly and effectively to operational challenges and maintain its ability to recover from disruptions. Furthermore, the research emphasizes the significance of supply chain agility and integration in effectively responding to market fluctuations and reducing risks. The findings indicate that Proton must consistently engage in technology and supply chain innovation to retain its competitive advantage and successfully traverse the intricate nature of the global automobile market. These lessons apply to Proton and other manufacturing enterprises aiming to optimize their supply networks in a progressively dynamic and linked environment.

Suggested Citation

  • Intan Liana Suhaime & Nani Shuhada Sehat & Siti Rohana Daud & Jumaelya Jogeran, 2024. "The Determinants of Supply Chain Performance in Manufacturing Industries: A Case Study of Proton Malaysia," Information Management and Business Review, AMH International, vol. 16(3), pages 292-302.
  • Handle: RePEc:rnd:arimbr:v:16:y:2024:i:3:p:292-302
    DOI: 10.22610/imbr.v16i3(I).3826
    as

    Download full text from publisher

    File URL: https://ojs.amhinternational.com/index.php/imbr/article/view/3826/2554
    Download Restriction: no

    File URL: https://ojs.amhinternational.com/index.php/imbr/article/view/3826
    Download Restriction: no

    File URL: https://libkey.io/10.22610/imbr.v16i3(I).3826?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. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Kaoru Natsuda & Noriyuki Segawa & John Thoburn, 2013. "Liberalization, Industrial Nationalism, and the Malaysian Automotive Industry," Global Economic Review, Taylor & Francis Journals, vol. 42(2), pages 113-134, June.
    3. Jane Terpstra Tong & Robert H. Terpstra & Ngat Chin Lim, 2012. "Proton: Its rise, Fall, and Future Prospects," Asian Case Research Journal (ACRJ), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 347-377.
    4. Chen, Ziyue & Huang, Lizhen, 2021. "Digital twins for information-sharing in remanufacturing supply chain: A review," Energy, Elsevier, vol. 220(C).
    5. Miguel Núñez-Merino & Juan Manuel Maqueira-Marín & José Moyano-Fuentes & Pedro José Martínez-Jurado, 2020. "Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5034-5061, July.
    6. Prajogo, Daniel & Olhager, Jan, 2012. "Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration," International Journal of Production Economics, Elsevier, vol. 135(1), pages 514-522.
    7. 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.
    8. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    9. Thong, J. Y. L. & Yap, C. S., 1995. "CEO characteristics, organizational characteristics and information technology adoption in small businesses," Omega, Elsevier, vol. 23(4), pages 429-442, August.
    10. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    11. Peter Wad & V.G.R. Chandran Govindaraju, 2011. "Automotive industry in Malaysia: an assessment of its development," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 11(2), pages 152-171.
    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. Hyun Jung Kim, 2017. "Information technology and firm performance: the role of supply chain integration," Operations Management Research, Springer, vol. 10(1), pages 1-9, June.
    2. Sabeen Hussain Bhatti & Wan Mohd Hirwani Wan Hussain & Jabran Khan & Shahbaz Sultan & Alberto Ferraris, 2024. "Exploring data-driven innovation: What’s missing in the relationship between big data analytics capabilities and supply chain innovation?," Annals of Operations Research, Springer, vol. 333(2), pages 799-824, February.
    3. Abdurrezzak Sener & Mehmet Barut & Ali Dag & Mehmet Bayram Yildirim, 2021. "Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach," Annals of Operations Research, Springer, vol. 303(1), pages 125-158, August.
    4. Oliveira-Dias, Diéssica de & Maqueira-Marin, Juan Manuel & Moyano-Fuentes, José & Carvalho, Helena, 2023. "Implications of using Industry 4.0 base technologies for lean and agile supply chains and performance," International Journal of Production Economics, Elsevier, vol. 262(C).
    5. Panagiotis Trivellas & Georgios Malindretos & Panagiotis Reklitis, 2020. "Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
    6. Kembro, Joakim & Näslund, Dag & Olhager, Jan, 2017. "Information sharing across multiple supply chain tiers: A Delphi study on antecedents," International Journal of Production Economics, Elsevier, vol. 193(C), pages 77-86.
    7. Ra’ed Masa’deh & Ismail Muheisen & Bader Obeidat & Ashraf Bany Mohammad, 2022. "The Impact of Supply Chain Integration on Operational Performance: An Empirical Study," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    8. Muhammad Irfan & Mingzheng Wang & Naeem Akhtar, 2019. "Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view," Operations Management Research, Springer, vol. 12(3), pages 113-128, December.
    9. Chowdhury, Md Maruf H. & Quaddus, Mohammed, 2017. "Supply chain resilience: Conceptualization and scale development using dynamic capability theory," International Journal of Production Economics, Elsevier, vol. 188(C), pages 185-204.
    10. Wong, Wai Peng & Sinnandavar, Chandra Mohan & Soh, Keng-Lin, 2021. "The relationship between supply environment, supply chain integration and operational performance: The role of business process in curbing opportunistic behaviour," International Journal of Production Economics, Elsevier, vol. 232(C).
    11. Graça, Paula & Camarinha-Matos, Luís M., 2017. "Performance indicators for collaborative business ecosystems — Literature review and trends," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 237-255.
    12. Peerally, Jahan Ara & Santiago, Fernando & De Fuentes, Claudia & Moghavvemi, Sedigheh, 2022. "Towards a firm-level technological capability framework to endorse and actualize the Fourth Industrial Revolution in developing countries," Research Policy, Elsevier, vol. 51(10).
    13. Jääskeläinen, Aki, 2021. "The relational outcomes of performance management in buyer-supplier relationships," International Journal of Production Economics, Elsevier, vol. 232(C).
    14. Maiga, Adam S. & Nilsson, Anders & Ax, Christian, 2015. "Relationships between internal and external information systems integration, cost and quality performance, and firm profitability," International Journal of Production Economics, Elsevier, vol. 169(C), pages 422-434.
    15. Ding, Xiu-Hao & Huang, Rui-Hua, 2010. "Effects of knowledge spillover on inter-organizational resource sharing decision in collaborative knowledge creation," European Journal of Operational Research, Elsevier, vol. 201(3), pages 949-959, March.
    16. Ma, Jing & Li, Qing & Zhao, Qiuyun & Liou, Jennhae & Li, Chen, 2024. "From bytes to green: The impact of supply chain digitization on corporate green innovation," Energy Economics, Elsevier, vol. 139(C).
    17. Ramanathan, Usha & Gunasekaran, Angappa, 2014. "Supply chain collaboration: Impact of success in long-term partnerships," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 252-259.
    18. Sener, Abdurrezzak & Barut, Mehmet & Oztekin, Asil & Avcilar, Mutlu Yuksel & Yildirim, Mehmet Bayram, 2019. "The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach," Journal of Business Research, Elsevier, vol. 99(C), pages 87-104.
    19. Diéssica Oliveira-Dias & José Moyano-Fuentes & Juan Manuel Maqueira-Marín, 2022. "Understanding the relationships between information technology and lean and agile supply chain strategies: a systematic literature review," Annals of Operations Research, Springer, vol. 312(2), pages 973-1005, May.
    20. Li, Xiaojing & Chen, Jing & Ai, Xingzheng, 2019. "Contract design in a cross-sales supply chain with demand information asymmetry," European Journal of Operational Research, Elsevier, vol. 275(3), pages 939-956.

    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:arimbr:v:16:y:2024:i:3:p:292-302. 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/imbr .

    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.