{"title":"电子采购对道路养护基金业务运作的贡献,卢旺达","authors":"Alphonse Mugema, Khan Jean de Dieu Hakizimana","doi":"10.36282/IJASRM/5.12.2020.1768","DOIUrl":null,"url":null,"abstract":"This study examined the contribution of eprocurement on business operations in Rwanda using a case of Road Maintenance Fund. The study determined the effects of electronic tendering, electronic-sourcing electronic auctioning. A descriptive research design was adopted. The targeted population was 148 employees and beneficiaries of RMF. A sample of 109 respondents calculated using Slovene’s formula was selected using and adequate sample design consisting of purpose sampling technique and simple random sampling technique were helpful in selecting workers. Information from workers were obtained using a questionnaire survey, while information from key informants were collected using interview guide. Quantitative information was analyzed using Statistical Package for Social Sciences version 25.0 through the presentation of data in Tables, Figures, and Percentages Frequencies. Inferential statistical was used to reflected correlation and regression analysis. Qualitative data was analyzed using content analysis through themes and subthemes. The study indicated that e-tendering(r=0.372, p= 0.000), esourcing (p=0.257, p value=0.001) and e-auctioning (p=0.168, p-value=0,002) are predictors for business operations’ performance. It is recommended to establish mechanisms to copy with constraints impending the implementation of e-procurement. Automated procurement must be clear for requisition, tendering contractual agreement and payment, adopt the user friendly data method that all contractors could use to improve their internal processes to reduce bureaucracy and increase efficiency. Similar research may be undertaken to discover whether similar findings would be realized.","PeriodicalId":13905,"journal":{"name":"International Journal of Advanced Scientific Research and Management","volume":"118 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Contribution of E-Procurement on Business Operations of Road Maintenance Fund (RMF), Rwanda\",\"authors\":\"Alphonse Mugema, Khan Jean de Dieu Hakizimana\",\"doi\":\"10.36282/IJASRM/5.12.2020.1768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examined the contribution of eprocurement on business operations in Rwanda using a case of Road Maintenance Fund. The study determined the effects of electronic tendering, electronic-sourcing electronic auctioning. A descriptive research design was adopted. The targeted population was 148 employees and beneficiaries of RMF. A sample of 109 respondents calculated using Slovene’s formula was selected using and adequate sample design consisting of purpose sampling technique and simple random sampling technique were helpful in selecting workers. Information from workers were obtained using a questionnaire survey, while information from key informants were collected using interview guide. Quantitative information was analyzed using Statistical Package for Social Sciences version 25.0 through the presentation of data in Tables, Figures, and Percentages Frequencies. Inferential statistical was used to reflected correlation and regression analysis. Qualitative data was analyzed using content analysis through themes and subthemes. The study indicated that e-tendering(r=0.372, p= 0.000), esourcing (p=0.257, p value=0.001) and e-auctioning (p=0.168, p-value=0,002) are predictors for business operations’ performance. It is recommended to establish mechanisms to copy with constraints impending the implementation of e-procurement. Automated procurement must be clear for requisition, tendering contractual agreement and payment, adopt the user friendly data method that all contractors could use to improve their internal processes to reduce bureaucracy and increase efficiency. Similar research may be undertaken to discover whether similar findings would be realized.\",\"PeriodicalId\":13905,\"journal\":{\"name\":\"International Journal of Advanced Scientific Research and Management\",\"volume\":\"118 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced Scientific Research and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36282/IJASRM/5.12.2020.1768\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Scientific Research and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36282/IJASRM/5.12.2020.1768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Contribution of E-Procurement on Business Operations of Road Maintenance Fund (RMF), Rwanda
This study examined the contribution of eprocurement on business operations in Rwanda using a case of Road Maintenance Fund. The study determined the effects of electronic tendering, electronic-sourcing electronic auctioning. A descriptive research design was adopted. The targeted population was 148 employees and beneficiaries of RMF. A sample of 109 respondents calculated using Slovene’s formula was selected using and adequate sample design consisting of purpose sampling technique and simple random sampling technique were helpful in selecting workers. Information from workers were obtained using a questionnaire survey, while information from key informants were collected using interview guide. Quantitative information was analyzed using Statistical Package for Social Sciences version 25.0 through the presentation of data in Tables, Figures, and Percentages Frequencies. Inferential statistical was used to reflected correlation and regression analysis. Qualitative data was analyzed using content analysis through themes and subthemes. The study indicated that e-tendering(r=0.372, p= 0.000), esourcing (p=0.257, p value=0.001) and e-auctioning (p=0.168, p-value=0,002) are predictors for business operations’ performance. It is recommended to establish mechanisms to copy with constraints impending the implementation of e-procurement. Automated procurement must be clear for requisition, tendering contractual agreement and payment, adopt the user friendly data method that all contractors could use to improve their internal processes to reduce bureaucracy and increase efficiency. Similar research may be undertaken to discover whether similar findings would be realized.