IDEAS home Printed from https://ideas.repec.org/a/nap/nijbmr/2020p26-37.html

Stock Management Practices And Supply Chain Performance Of Pharmaceutical Companies In Nairobi, Kenya

Author

Listed:
  • Rahma Mahmoud Olow

    (D,epartment of Management Science, University of Nairobi, Nairobi, Kenya)

  • Najma Bare Abdi

    (D,epartment of Management Science, University of Nairobi, Nairobi, Kenya)

  • Fatuma Abdikadir Malicha

    (D,epartment of Management Science, University of Nairobi, Nairobi, Kenya)

  • Mohamed Hassan Mohamed

    (D,epartment of Management Science, University of Nairobi, Nairobi, Kenya)

  • Meshack Mwangangi

    (D,epartment of Management Science, University of Nairobi, Nairobi, Kenya)

  • Peterson Obara Magutu

    (D,epartment of Management Science, University of Nairobi, Nairobi, Kenya)

  • Josephine Wanza Mutunga

    (D,epartment of Management Science, University of Nairobi, Nairobi, Kenya)

Abstract

Purpose: The study was aimed at establishing stock management practices and performance in pharmaceutical firms in Nairobi. It was specifically aimed to establish how, EOQ, VMI, ERP, JIT and ABC analysis affects SC performance. The study used descriptive research design in its methodology. Design/Research method: The study was guided by Resource based view Theory and strategic choice theory. Data collection was effected by use of structured questionnaires. Supply chain managers, procurement managers and the equivalent were the targeted population. The targeted population was 38 pharmaceutical firms in Nairobi. These questionnaires were issued through drop and pick method, coded, keyed and analyzed using both descriptive and regression analysis. Finding: he findings of the study established that Pharmaceutical firms in Nairobi had adopted stock management practices to a large extent, which was indicated by a mean values greater than 3.0 on a scale of 1-5 for stock management practices. The results ascertained that stock management practices had a positive impact on performance. This was indicated by a positive correlation between the stock management practices and performance, which was measured by the values in the coefficients table. Limitation: The major limitation of the study is that it was based on pharmaceutical firms in Nairobi only. Implication: Future academicians should research on stock management practices in other firms rather than pharmaceutical firms in Nairobi Key words: Stock management practices, Supply chain management, procurement management practices, supply chain performance, pharmaceutical firms.

Suggested Citation

  • Rahma Mahmoud Olow & Najma Bare Abdi & Fatuma Abdikadir Malicha & Mohamed Hassan Mohamed & Meshack Mwangangi & Peterson Obara Magutu & Josephine Wanza Mutunga, 2020. "Stock Management Practices And Supply Chain Performance Of Pharmaceutical Companies In Nairobi, Kenya," Noble International Journal of Business and Management Research, Noble Academic Publsiher, vol. 4(4), pages 26-37, April.
  • Handle: RePEc:nap:nijbmr:2020:p:26-37
    as

    Download full text from publisher

    File URL: https://www.napublisher.org/pdf-files/NIJBMR-4(4)-26-37.pdf
    Download Restriction: no

    File URL: https://www.napublisher.org/?ic=journal&journal=8&month=04-2020&issue=4&volume=4
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Goker Aydin & Evan L. Porteus, 2008. "Joint Inventory and Pricing Decisions for an Assortment," Operations Research, INFORMS, vol. 56(5), pages 1247-1255, October.
    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. Yiwei Chen & Nikolaos Trichakis, 2021. "Technical Note—On Revenue Management with Strategic Customers Choosing When and What to Buy," Operations Research, INFORMS, vol. 69(1), pages 175-187, January.
    2. Lingxiu Dong & Panos Kouvelis & Zhongjun Tian, 2009. "Dynamic Pricing and Inventory Control of Substitute Products," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 317-339, December.
    3. Oben Ceryan & Ozge Sahin & Izak Duenyas, 2013. "Dynamic Pricing of Substitutable Products in the Presence of Capacity Flexibility," Manufacturing & Service Operations Management, INFORMS, vol. 15(1), pages 86-101, April.
    4. Aydın Alptekinoğlu & John H. Semple, 2016. "The Exponomial Choice Model: A New Alternative for Assortment and Price Optimization," Operations Research, INFORMS, vol. 64(1), pages 79-93, February.
    5. Maria Mayorga & Hyun-Soo Ahn & Goker Aydin, 2013. "Assortment and inventory decisions with multiple quality levels," Annals of Operations Research, Springer, vol. 211(1), pages 301-331, December.
    6. Felipe Caro & Victor Martínez-de-Albéniz & Paat Rusmevichientong, 2014. "The Assortment Packing Problem: Multiperiod Assortment Planning for Short-Lived Products," Management Science, INFORMS, vol. 60(11), pages 2701-2721, November.
    7. Terzi, Mourad & Ouazene, Yassine & Yalaoui, Alice & Yalaoui, Farouk, 2023. "Lot-sizing and pricing decisions under attraction demand models and multi-channel environment: New efficient formulations," Operations Research Perspectives, Elsevier, vol. 10(C).
    8. Transchel, Sandra, 2017. "Inventory management under price-based and stockout-based substitution," European Journal of Operational Research, Elsevier, vol. 262(3), pages 996-1008.
    9. Fatemeh Nosrat & William L. Cooper & Zizhuo Wang, 2021. "Pricing for a product with network effects and mixed logit demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(2), pages 159-182, March.
    10. Hongmin Li & Scott Webster, 2017. "Optimal Pricing of Correlated Product Options Under the Paired Combinatorial Logit Model," Operations Research, INFORMS, vol. 65(5), pages 1215-1230, October.
    11. Zhang, Jian & Nault, Barrie R. & Tu, Yiliu, 2015. "A dynamic pricing strategy for a 3PL provider with heterogeneous customers," International Journal of Production Economics, Elsevier, vol. 169(C), pages 31-43.
    12. Li, Qilong & Xiao, Haohan & Xu, Min & Qu, Ting, 2024. "Investigating the impact of late deliveries on the operations of the crowd-shipping platform: A mean-variance analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    13. Schlicher, Loe & Lurkin, Virginie, 2022. "Stable allocations for choice-based collaborative price setting," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1242-1254.
    14. Georgia Perakis & Melvyn Sim & Qinshen Tang & Peng Xiong, 2023. "Robust Pricing and Production with Information Partitioning and Adaptation," Management Science, INFORMS, vol. 69(3), pages 1398-1419, March.
    15. Zhao, Li & Tian, Peng & Xiangyong Li, 2012. "Dynamic pricing in the presence of consumer inertia," Omega, Elsevier, vol. 40(2), pages 137-148, April.
    16. Peter Salemi & Jeremy Staum & Barry L. Nelson, 2019. "Generalized Integrated Brownian Fields for Simulation Metamodeling," Operations Research, INFORMS, vol. 67(3), pages 874-891, May.
    17. Sangjo Kim & Youyi Feng & Jianjun Xu, 2023. "Complementarity analysis of a multi‐item inventory model with leading product pricing," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 4190-4211, December.
    18. Hang Wu & Qin Wu & Yue Liu & Mengmeng Shi, 2025. "Newsvendor Decisions under Stochastic and Strategic Uncertainties: Theory and Experimental Evidence," Papers 2512.00994, arXiv.org.
    19. Tim Noparumpa & Burak Kazaz & Scott Webster, 2015. "Wine Futures and Advance Selling Under Quality Uncertainty," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 411-426, July.
    20. Alper Nakkas & Yasin Alan & Mümin Kurtuluş, 2020. "Category Captainship in the Presence of Retail Competition," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 263-280, February.

    More about this item

    Keywords

    ;
    ;
    ;

    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:nap:nijbmr:2020:p:26-37. 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: Managing Editor The email address of this maintainer does not seem to be valid anymore. Please ask Managing Editor to update the entry or send us the correct address (email available below). General contact details of provider: https://www.napublisher.org/?ic=journal&journal=8&info=aims .

    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.