Influence of E-procurement on Procurement Performance in Manufacturing Firms in Nairobi County
Year: 2022
Type: article
Study design: Observational Study
Abstract: This study sought to establish the influence e-procurement on procurement performance in manufacturing firms in Nairobi County. The study was anchored on technology acceptance model. This study used of a descriptive explanatory research design. The study population was 1,142 employees in the procurement and IT departments in the manufacturing firms. The study used the Yamane formula to calculate the study sample size. The study sample size was 296 respondents. The stratified random sampling was used to select the sample size. The study’s primary data was obtained using semi-structured questionnaires. The researcher carried out a pilot study to ensure the data collection tool is reliable and valid. Quantitative data was analyzed using descriptive and inferential statistics. Descriptive statistics relating to measures of central tendency and measures of dispersion was used to describe the body of data. This included percentages, frequencies, mean and standard deviation. The study conducted a correlational analysis to evaluate the strength of relationship between the study variables. Multiple regression analysis was conducted. The data was presented in form of tables, figures and pie charts. It was revealed that e-procurement had a positive influence on procurement performance in manufacturing firms. The study recommends that the manufacturing companies should use e-procurement in connecting the suppliers and employees of the organizations into the purchasing network companies that embark on e-procurement buying programmes. This would enable aggregate purchasing across multiple departments or divisions without removing individual control, reduce rogue buying, can get the best price and quality products from a wide range of suppliers.Key Words: information technology practices, procurement performance, e-procurement
Authors: Chebet, Janice, Kihara, Allan
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7215463799