IDEAS home Printed from https://ideas.repec.org/a/rnd/arjsds/v1y2011i3p109-114.html
   My bibliography  Save this article

Analyzing the Risk Factors of Supply Chain Management in Indian Manufacturing Organizations

Author

Listed:
  • Rana Basu
  • Pranab K Dan

Abstract

Today organizations of any magnitude have heavily integrated supply chain. The supply chain management consists of all parties involved, directly or indirectly in fulfilling customer request. There is an immense growth which has expanded from the traditional point of view as not only of physical distribution of materials but also to services. Implementing supply chain risk management has been troubleshooting in many organizations. In practice assessing risk management in supply chain is rather underdeveloped and often dealt with informal and reactive manner. As risk management issues today is subjected to substantial research and the organizations are trying to mitigate the risk issues so as to maintain the smooth operation of supply chain. The purpose of this paper is to identify and prioritize the risk factors in context to supply chain management of Indian manufacturing organizations. The research presented here is specifically targeted to Indian manufacturing organizations which are managing the supply chain operations. This paper deals with the risk issues and thus empirically assesses which risk factors are most influencing one in supply chain operations which must be given careful attention.

Suggested Citation

  • Rana Basu & Pranab K Dan, 2011. "Analyzing the Risk Factors of Supply Chain Management in Indian Manufacturing Organizations," Journal of Social and Development Sciences, AMH International, vol. 1(3), pages 109-114.
    • Handle: RePEc:rnd:arjsds:v:1:y:2011:i:3:p:109-114
    DOI: 10.22610/jsds.v1i3.634
    as

    Download full text from publisher

    File URL: https://ojs.amhinternational.com/index.php/jsds/article/view/634/634
    Download Restriction: no
    File URL: https://ojs.amhinternational.com/index.php/jsds/article/view/634
    Download Restriction: no
    File URL: https://libkey.io/10.22610/jsds.v1i3.634?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. Hise, Richard T., 1995. "The implications of time-based competition on international logistics strategies," Business Horizons, Elsevier, vol. 38(5), pages 39-45.
    2. B Ritchie & C Brindley, 2007. "An emergent framework for supply chain risk management and performance measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1398-1411, November.
    3. Lars B. Sorensen, 2005. "How risk and uncertainty is used in supply chain management: a literature study," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 1(4), pages 387-409.
    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. Seyyed Mohammad Seyyed Alizadeh Ganji & Mohammad Hayati, 2016. "Identifying and Assessing the Risks in the Supply Chain," Modern Applied Science, Canadian Center of Science and Education, vol. 10(6), pages 1-74, June.
    2. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
    3. Li, Bingbing & Long, Yan, 2024. "Output uncertainty mitigation in competitive markets," Mathematical Social Sciences, Elsevier, vol. 130(C), pages 4-9.
    4. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    5. Nur Syamsiyah & Sara Ratna Qanti & Dini Rochdiani, 2024. "Risk Mitigation in Environmental Conservation for Potato Production in Cisangkuy Sub-Watershed, Bandung Regency, West Java, Indonesia," Agriculture, MDPI, vol. 14(10), pages 1-21, October.
    6. Thuzar Linn & Broos Maenhout, 2019. "The impact of environmental uncertainty on the performance of the rice supply chain in the Ayeyarwaddy Region, Myanmar," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-29, December.
    7. Chih-Hung Hsu & An-Yuan Chang & Ting-Yi Zhang & Wei-Da Lin & Wan-Ling Liu, 2021. "Deploying Resilience Enablers to Mitigate Risks in Sustainable Fashion Supply Chains," Sustainability, MDPI, vol. 13(5), pages 1-24, March.
    8. Mihret, Dessalegn Getie, 2014. "How can we explain internal auditing? The inadequacy of agency theory and a labor process alternative," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(8), pages 771-782.
    9. Munir, Manal & Jajja, Muhammad Shakeel Sadiq & Chatha, Kamran Ali & Farooq, Sami, 2020. "Supply chain risk management and operational performance: The enabling role of supply chain integration," International Journal of Production Economics, Elsevier, vol. 227(C).
    10. Seyedhossein, Seyed Saeed & Moeini-Aghtaie, Moein, 2022. "Risk management framework of peer-to-peer electricity markets," Energy, Elsevier, vol. 261(PB).
    11. Grace W.Y. Wang & Su-Han Woo & Joan Mileski, 2014. "The relative efficiency and financial risk assessment of shipping companies," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(7), pages 651-666, December.
    12. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    13. Muhammad Umar & Mark Wilson, 2021. "Supply Chain Resilience: Unleashing the Power of Collaboration in Disaster Management," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
    14. Chen, Li-Ming & Chang, Wei-Lun, 2021. "Supply- and cyber-related disruptions in cloud supply chain firms: Determining the best recovery speeds," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    15. Mansour Mohammad A. & Beithou Nabil & Alsqour Moh’d & Tarawneh Sultan A. & Rababa’a Khalid Al & AlSaqoor Sameh & Chodakowska Ewa, 2023. "Hierarchical Risk Communication Management Framework for Construction Projects," Engineering Management in Production and Services, Sciendo, vol. 15(4), pages 104-115, December.
    16. Caroline Wanjiru Munyuko, 2015. "Effects of Supply Chain Risk Management on Organization Performance: Case of Andy Forwarders Services Limited," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(3), pages 380-403, March.
    17. Guertler, Benjamin & Spinler, Stefan, 2015. "Supply risk interrelationships and the derivation of key supply risk indicators," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 224-236.
    18. repec:ers:journl:v:xxiv:y:2021:i:2b:p:78-97 is not listed on IDEAS
    19. Lorentz, Harri & Töyli, Juuso & Solakivi, Tomi & Ojala, Lauri, 2016. "The effect of a geographically dispersed supply base on downside risk: Developing and testing the N-shaped theory," International Business Review, Elsevier, vol. 25(4), pages 872-882.
    20. Seidiaghilabadi, Fatemeh & Abbassi, Ebrahim & Seidiaghilabadi, Zahra, 2018. "Impact of managerial risk-taking and IRM ‎on innovation," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), The Road to a Digitalized Supply Chain Management: Smart and Digital Solutions for Supply Chain Management. Proceedings of the Hamburg International C, volume 25, pages 291-310, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    21. Kuzu, Kaan & Li, Wanxi, 2016. "Exploring supplier performance risk and the buyer's role using chance-constrained data envelopment analysisAuthor-Name: Ross, Anthony D," European Journal of Operational Research, Elsevier, vol. 250(3), pages 966-978.

    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:arjsds:v:1:y:2011:i:3:p:109-114. 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/jsds .

    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.