IDEAS home Printed from https://ideas.repec.org/a/mth/bmsmti/v10y2019i2p163-180.html
   My bibliography  Save this article

Supply Chain Management Practices and SME Performance in Arua Municipality, Uganda

Author

Listed:
  • Olema Hamiza
  • Alain Vilard Ndi Isoh

Abstract

This study focused on the relationship between supply chain management practices and SME performance in Arua Municipality, Uganda. The research axiology is value free and the approach is deductive. Data were sourced using both structured and semi-structured questionnaire survey consisting of 140 SMEs registered with the Uganda Registration Services Bureau (URSB).Research outcomes revealed that supply chain collaboration is a precursor of SME performance. Whereas, internal management, use of information communication technology and innovation were proven to be statistically insignificant predictors of SME performance.The analysis of the study is deterministic and findings are hypothetical. The research design prohibits studying SME performance using exploratory views. In addition, data collection tool was standardized questionnaire design, and operationalised using quantitative procedures. Application of an in-depth interview could have given profound insights of the studied phenomenon.The practical effects of this study are that- owners and/or Managers of SMEs should improve performance by engaging in collaborative approaches such as long term contracts and interdependence. Scholarly presentations on the effects of supply chain management practices on the performance of SMEs in Arua Municipality, Uganda have attracted little scholarly attention in the past years. This study is therefore of momentous contribution in this area of research.

Suggested Citation

  • Olema Hamiza & Alain Vilard Ndi Isoh, 2019. "Supply Chain Management Practices and SME Performance in Arua Municipality, Uganda," Business Management and Strategy, Macrothink Institute, vol. 10(2), pages 163-180, December.
  • Handle: RePEc:mth:bmsmti:v:10:y:2019:i:2:p:163-180
    as

    Download full text from publisher

    File URL: http://www.macrothink.org/journal/index.php/bms/article/download/15754/12310
    Download Restriction: no

    File URL: http://www.macrothink.org/journal/index.php/bms/article/view/15754
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ebrahim Karimi & Mahmoud Rafiee, 2014. "Analyzing the Impact of Supply Chain Management Practices on Organizational Performance through Competitive Priorities (Case Study: Iran Pumps Company)," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(1), pages 1-15, January.
    2. Michael J. Tippins & Ravipreet S. Sohi, 2003. "IT competency and firm performance: is organizational learning a missing link?," Strategic Management Journal, Wiley Blackwell, vol. 24(8), pages 745-761, August.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Blandine Ageron & O. Lavastre & A. Gunasekaran & A. Spalanzani, 2013. "Innovative Supply Chain Practices: The State of French Companies," Post-Print halshs-00863547, HAL.
    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. Suoniemi, Samppa & Terho, Harri & Zablah, Alex & Olkkonen, Rami & Straub, Detmar W., 2021. "The impact of firm-level and project-level it capabilities on CRM system quality and organizational productivity," Journal of Business Research, Elsevier, vol. 127(C), pages 108-122.
    2. Hun Myoung Park, 2015. "Has Information Technology Competence Ever Increased? Evidences from the Annual User Satisfaction Survey of Information Technology Services," Working Papers EMS_2015_03, Research Institute, International University of Japan.
    3. Hou, Chung-Kuang, 2012. "Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry," International Journal of Information Management, Elsevier, vol. 32(6), pages 560-573.
    4. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    5. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    6. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    7. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    8. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    9. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    10. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    11. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    12. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
    13. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    14. Fang Li & Sheng Zhang & Yuhuan Jin, 2018. "Sustainability of University Technology Transfer: Mediating Effect of Inventor’s Technology Service," Sustainability, MDPI, vol. 10(6), pages 1-17, June.
    15. Waqar Younas & K. Ramanathan Kalimuthu, 2021. "Telecom microfinance banking versus commercial banking: a battle in the financial services sector," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(2), pages 67-80, June.
    16. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    17. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    18. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    19. Proserpio, Luigi & Magni, Massimo, 2012. "Teaching without the teacher? Building a learning environment through computer simulations," International Journal of Information Management, Elsevier, vol. 32(2), pages 99-105.
    20. Sirén, Charlotta & Kohtamäki, Marko, 2016. "Stretching strategic learning to the limit: The interaction between strategic planning and learning," Journal of Business Research, Elsevier, vol. 69(2), pages 653-663.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:mth:bmsmti:v:10:y:2019:i:2:p:163-180. 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: Technical Support Office (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/bms .

    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.