IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v8y2024i7p626-647.html
   My bibliography  Save this article

The Influence of Supply Chain Responsiveness Elements on Order Fill Rate in Apparel Industry. A Case Study of Apparel Shops in Harare CBD

Author

Listed:
  • Fadzai Nyaude

    (Bindura University of Science Education Alumni, Zimbabwe)

  • Davison Maunganidze

    (Global Diplomatic Forum (GDF) Member)

Abstract

The study was focusing on the influence of supply chain responsiveness elements on order fill rate in apparel industry. Three dimensions were proposed and tested. The main objective of the study was to determine the influence of supply chain velocity on order fill rate for apparel shops and develop a framework model that could be used by the apparel industry to improve their supply chain velocity so that they can meet customer demand on time. Other objectives of the study were to determine the influence of supply chain visibility on order fill rate and describe how apparel shops can improve their visibility. The other objective was to determine the influence of supply chain versatility and order fill rate. Causal research design was used to test the relationship between the variables. The sample size used was 151 apparel shops. The study utilized quantitative data collection procedures such as questionnaire. Questionnaire was distributed in person. The Statistical Package for Social Sciences (SPSS) version 20 and STATA14 quantitative software packages were used to analyze quantitative data. The results of the data were presented in the form of tables. The study revealed that supply chain responsiveness elements which are supply chain visibility and supply chain versatility has a positive influence on order fill rate. The findings showed that apparel shops should make all efforts in making sure that necessary resources are available to quickly and efficiently meet customer demand in uncertain markets and also make sure that actors in the supply chain have access to or share information which they consider as key or useful to their operations. However, the study revealed that supply chain velocity has a negative influence on order fill rate. This can happen if the focus on speed results in sacrificing accuracy and quality in order fulfillment.

Suggested Citation

  • Fadzai Nyaude & Davison Maunganidze, 2024. "The Influence of Supply Chain Responsiveness Elements on Order Fill Rate in Apparel Industry. A Case Study of Apparel Shops in Harare CBD," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(7), pages 626-647, July.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:7:p:626-647
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-8-issue-7/626-647.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/articles/the-influence-of-supply-chain-responsiveness-elements-on-order-fill-rate-in-apparel-industry-a-case-study-of-apparel-shops-in-harare-cbd/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gonchar V., 2016. "Forecasting as a method of metals marketing research," Економічний вісник Донбасу Экономический вестник Донбасса, CyberLeninka;Институт экономики промышленности НАН Украины, issue 4 (46), pages 104-108.
    2. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
    3. Christoph Schmidt, 2016. "Research Methodology," Progress in IS, in: Agile Software Development Teams, chapter 0, pages 65-86, Springer.
    4. Juneho Um, 2017. "The impact of supply chain agility on business performance in a high level customization environment," Operations Management Research, Springer, vol. 10(1), pages 10-19, June.
    5. Rob Eisinga & Manfred Grotenhuis & Ben Pelzer, 2013. "The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 637-642, August.
    6. Rameshwar Dubey & Sadia Samar Ali & Padmanabha Aital & V.G. Venkatesh, 2014. "Mechanics of humanitarian supply chain agility and resilience and its empirical validation," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 17(4), pages 367-384.
    7. Segars, A. H., 1997. "Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research," Omega, Elsevier, vol. 25(1), pages 107-121, February.
    8. 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.
    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. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    2. Gul Sahin Karaduman & Tulay Basak, 2024. "Virtual Patient Simulations in Nursing Education: A Descriptive Systematic Review," Simulation & Gaming, , vol. 55(2), pages 159-179, April.
    3. Ruiz-Benítez, Rocío & López, Cristina & Real, Juan C., 2018. "The lean and resilient management of the supply chain and its impact on performance," International Journal of Production Economics, Elsevier, vol. 203(C), pages 190-202.
    4. Brownstone, David & McBride, Michael & Kong, Si-Yuan & Mahmassani, Amine, 2017. "Experimental Studies for Traffic Incident Management," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6kx670mv, Institute of Transportation Studies, UC Berkeley.
    5. Aghajani, Mojtaba & Ali Torabi, S. & Altay, Nezih, 2023. "Resilient relief supply planning using an integrated procurement-warehousing model under supply disruption," Omega, Elsevier, vol. 118(C).
    6. Brownstone, David & McBride, Michael & Kong, Si-Yuan & Mahmassani, Amine, 2018. "Experimental Studies for Traffic Incident Management with Pricing, Private Information, and Diverse Subject," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8nj034g7, Institute of Transportation Studies, UC Berkeley.
    7. Sharma, Vivek & Bhat, Dada Ab Rouf, 2020. "An empirical study exploring the relationship among human capital innovation, service innovation, competitive advantage and employee productivity in hospitality services," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2), pages 1-14..
    8. Chin-Shan Lu & Kuo-Chung Shang & Chi-Chang Lin, 2016. "Examining sustainability performance at ports: port managers’ perspectives on developing sustainable supply chains," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(8), pages 909-927, November.
    9. Lyn M. Van Swol & Paul Hangsan Ahn & Andrew Prahl & Zhenxing Gong, 2021. "Language Use in Group Discourse and Its Relationship to Group Processes," SAGE Open, , vol. 11(1), pages 21582440211, March.
    10. Siti Aisyah Ya?kob & Mohd Uzairi Ahmad Hajazi & Nor Afiza Abu Bakar & Sharizal Hashim, 2019. "The Influence of Information Sharing Linkages on Business Performance: Evidence from Micro and Small Enterprises in Sarawak," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 18-26, January.
    11. Schneider, Christian O. & Bremen, Philipp & Schönsleben, Paul & Alard, Robert, 2013. "Transaction cost economics in global sourcing: Assessing regional differences and implications for performance," International Journal of Production Economics, Elsevier, vol. 141(1), pages 243-254.
    12. Nitin Walia & Mark Srite & Wendy Huddleston, 2016. "Eyeing the web interface: the influence of price, product, and personal involvement," Electronic Commerce Research, Springer, vol. 16(3), pages 297-333, September.
    13. Tan, Kim Hua, 2023. "Building Supply Chain Resilience with Digitalization," ADBI Working Papers 1389, Asian Development Bank Institute.
    14. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
    15. Syed Imran Zaman & Sharfuddin Ahmed Khan & Sahar Qabool & Himanshu Gupta, 2023. "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach," Operations Management Research, Springer, vol. 16(2), pages 904-930, June.
    16. Lingbo Fu & Chengyu Xiong & Min Xu, 2023. "Influential Factors Affecting Tea Tourists’ Behavior Intention in Cultural Ecosystem Services: An Affordance Perspective," Sustainability, MDPI, vol. 15(21), pages 1-18, October.
    17. Severin Oesterle & Arne Buchwald & Nils Urbach, 2022. "Investigating the co-creation of IT consulting service value: empirical findings of a matched pair analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 571-597, June.
    18. Kroes, James R. & Manikas, Andrew S. & Gattiker, Thomas F., 2018. "Operational leanness and retail firm performance since 1980," International Journal of Production Economics, Elsevier, vol. 197(C), pages 262-274.
    19. Matanda, Margaret Jekanyika & Freeman, Susan, 2009. "Effect of perceived environmental uncertainty on exporter-importer inter-organisational relationships and export performance improvement," International Business Review, Elsevier, vol. 18(1), pages 89-107, February.
    20. William Philip Wall & Bilal Khalid & Mariusz Urbański & Michal Kot, 2021. "Factors Influencing Consumer’s Adoption of Renewable Energy," Energies, MDPI, vol. 14(17), pages 1-19, August.

    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:bcp:journl:v:8:y:2024:i:7:p:626-647. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.