Quality Management Systems (QMS) are practices which are adopted in institutions with the main aim of meeting the needs of the customers and also ensuring that the quality or rather standard things are done to obtain the set goals or objectives. By doing this, the QMS helps an organization to continue improving in its effectiveness and efficiency of its performance. Most of Technical and Vocational Education and Training (TVET) Institutions in Kenya have adopted QMS as part of Performance Contracting (PC) requirement to enhance performance and improve service delivery. Applying QMS in an organization is expensive and takes a lot of time. Despite of huge resources spent and big investment by government in TVET institutions; implementation still remains a big challenge. Therefore, this study sought to investigate factors influencing implementation of quality management systems in selected public TVET institutions in Bungoma county Kenya. The study was directed by the following objectives: To establish the influence of resource availability on quality management system of public TVET institutions in the selected institutions in Bungoma county, Kenya; To examine the influence of top management skills on quality management systems in public TVET institutions in Bungoma county, Kenya and To assess how information technology influence quality management systems of selected public TVET institutions in Bungoma county, Kenya. The primary data was collected using self-administered questionnaires using both open and closed ended questions from lecturers and students that were sampled from the the public TVET institution in Bungoma county, Kenya, the institution was purposely selected since it is ISO 9001:2015 certified. The target population was 400 lecturers and 1000 third year students, from which a sample size of 169 lecturers and 278 third year students was drawn. The study used descriptive survey design, it’s because the design allows the researcher to study and describe the distribution of one or more variables. Krejcie and Morgan table was used in getting the sample size. The data collected was analyzed using Statistical Packages of Social Sciences (SPSS) version 23 which is a software that is mainly used for analysis of statistical data. The Quantitative data was analyzed using descriptive and inferential statistics while qualitative data was analyzed through content analysis.