{"title":"能源企业商业智能实施的持续使用评价","authors":"Muchammad Choirur Rizqi Anwar, P. W. Handayani","doi":"10.1109/ICACSIS56558.2022.9923490","DOIUrl":null,"url":null,"abstract":"Digitalization is an effort to increase oil and gas production in the upstream sector to become more effective and efficient. Digital transformation in the primary upstream oil and gas operations to monitor drilling activities, production operations, shipping, lifting, and inventory monitoring through the Integrated Operation Center (IOC). IOC is Business Intelligence (BI) to produce information for executives and decision-makers of the organization. IOC's evaluation result showed the number of IOC access of business users was only 31 %, while the IT team reached 69%; there are differences in expectations and reality from management needs regarding continuous use of IOC as BI. The study aimed to identify important factors contributing to the continuous use of IOC in PHE. The study adopts DeLone & McLean. A quantitative study was conducted in a survey of 30 IOC users to determine the essential factors for the continuity of IOC use. The results showed that seven continuous factors use of IOC had significant relationships. Information Quality correlated with User Satisfaction, System Quality correlated with System Use, System Use correlated with Net Benefits and User Satisfaction, User Satisfaction correlated with System Use, and Net Benefits Net Benefits User Satisfaction and System Use. This study provides input for organizations on essential factors in evaluating and improving the continuous use of IOC as BI.","PeriodicalId":165728,"journal":{"name":"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Continuous Use Evaluation of Business Intelligence Implementation in Energy Company\",\"authors\":\"Muchammad Choirur Rizqi Anwar, P. W. Handayani\",\"doi\":\"10.1109/ICACSIS56558.2022.9923490\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digitalization is an effort to increase oil and gas production in the upstream sector to become more effective and efficient. Digital transformation in the primary upstream oil and gas operations to monitor drilling activities, production operations, shipping, lifting, and inventory monitoring through the Integrated Operation Center (IOC). IOC is Business Intelligence (BI) to produce information for executives and decision-makers of the organization. IOC's evaluation result showed the number of IOC access of business users was only 31 %, while the IT team reached 69%; there are differences in expectations and reality from management needs regarding continuous use of IOC as BI. The study aimed to identify important factors contributing to the continuous use of IOC in PHE. The study adopts DeLone & McLean. A quantitative study was conducted in a survey of 30 IOC users to determine the essential factors for the continuity of IOC use. The results showed that seven continuous factors use of IOC had significant relationships. Information Quality correlated with User Satisfaction, System Quality correlated with System Use, System Use correlated with Net Benefits and User Satisfaction, User Satisfaction correlated with System Use, and Net Benefits Net Benefits User Satisfaction and System Use. This study provides input for organizations on essential factors in evaluating and improving the continuous use of IOC as BI.\",\"PeriodicalId\":165728,\"journal\":{\"name\":\"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACSIS56558.2022.9923490\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACSIS56558.2022.9923490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Continuous Use Evaluation of Business Intelligence Implementation in Energy Company
Digitalization is an effort to increase oil and gas production in the upstream sector to become more effective and efficient. Digital transformation in the primary upstream oil and gas operations to monitor drilling activities, production operations, shipping, lifting, and inventory monitoring through the Integrated Operation Center (IOC). IOC is Business Intelligence (BI) to produce information for executives and decision-makers of the organization. IOC's evaluation result showed the number of IOC access of business users was only 31 %, while the IT team reached 69%; there are differences in expectations and reality from management needs regarding continuous use of IOC as BI. The study aimed to identify important factors contributing to the continuous use of IOC in PHE. The study adopts DeLone & McLean. A quantitative study was conducted in a survey of 30 IOC users to determine the essential factors for the continuity of IOC use. The results showed that seven continuous factors use of IOC had significant relationships. Information Quality correlated with User Satisfaction, System Quality correlated with System Use, System Use correlated with Net Benefits and User Satisfaction, User Satisfaction correlated with System Use, and Net Benefits Net Benefits User Satisfaction and System Use. This study provides input for organizations on essential factors in evaluating and improving the continuous use of IOC as BI.