IDEAS home Printed from https://ideas.repec.org/a/bjf/ijltem/v14y2025i8a1595.html

The Effect of Inventory Forecasting on The Performance of Fast-Moving Consumer Goods Manufacturing Firms in Kilifi County, Kenya

Author

Listed:
  • Michael Kesa Ouma

    (Department of Business Administration and Management, Kibabii University, Kenya)

  • Prof. Joshua Abuya

    (Department of Business Administration and Management, Kibabii University, Kenya)

  • Dr. John Sirengo

    (Department of Mathematics, Kibabii University, Kenya)

Abstract

Inventory forecasting practices are pivotal for FMCG manufacturing firms in Kenya’s competitive market in order to improve their operational performance. The fast-moving consumer manufacturing firms have been experiencing performance challenges that affect their daily operations through increased production costs, increased lead-time, poor customer satisfaction. The study sought to determine the relationship between inventory forecasting practices and performance of fast-moving consumer manufacturing firms in Kilifi County, Kenya. The study targeted 11 Fast-moving consumer manufacturing firms in Kilifi County, Kenya as unit of analysis while procurement officers, logistic officers, transport officers, distribution officers and warehouse officers were the unit of observation. The target population was 2922 and therefore the sample size of 351 respondents was determined using Yamane 1967 sampling formula. The study adopted stratified random sampling. The research was anchored on two theories Systems Theory and the Theory of Economic Order quantity (EOQ). The study used descriptive research design, the study targeted 351 respondents comprising of procurement officers, logistic officers, transport officers, ware-housing officers. Primary data was collected through structured questionnaires. Data was analysed using SPSS version 31 where descriptive statistics such as means, standard deviation, frequencies and percentages were used. Correlation analysis was done to test the strength and direction of linear relationship between variables. Multiple regression analysis was conducted to determine the relationship between independent and dependent variables. A pilot test was conducted with 10% of the sample size and it showed strong reliability (Cronbach’s alpha = 0.795) The pilot test results revealed that the data collection instruments used in the study were both valid and reliable. Inventory forecasting demonstrated a strong positive relationship with performance. The study concluded that effective inventory forecasting plays a key role in boosting the performance of FMCG manufacturing firms in Kilifi County.

Suggested Citation

  • Michael Kesa Ouma & Prof. Joshua Abuya & Dr. John Sirengo, 2025. "The Effect of Inventory Forecasting on The Performance of Fast-Moving Consumer Goods Manufacturing Firms in Kilifi County, Kenya," International Journal of Latest Technology in Engineering, Management & Applied Science, RSIS International, vol. 14(8), pages 153-159, August.
  • Handle: RePEc:bjf:ijltem:v:14:y:2025:i:8:a:1595
    DOI: 10.51583/IJLTEMAS.2025.1408000019
    as

    Download full text from publisher

    File URL: https://www.ijltemas.in/submission/online/article/view/2611/2719
    Download Restriction: no

    File URL: https://www.ijltemas.in/submission/online/article/view/2611
    Download Restriction: no

    File URL: https://libkey.io/10.51583/IJLTEMAS.2025.1408000019?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
    ---><---

    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:bjf:ijltem:v:14:y:2025:i:8:a:1595. 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.

    We have no bibliographic references for this item. You can help adding them by using 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://www.ijltemas.in/ .

    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.