{"title":"基于知识获取与知识工程的高校研发项目评价","authors":"Gabriella Haász, Katalin Czakó, Zoltán Baracskai","doi":"10.1504/ijpom.2023.132712","DOIUrl":null,"url":null,"abstract":"Significant research on R&D project evaluation methods is feasible when we have clear data and conditions for measurement. In university projects, it is unwise to use directly the reference points and practices of industrial or independent labs. As a result, the method and the model introduced in this paper are adapted to find the most informative success factors for engineering R&D projects when the non-professional project manager's experience is the primary source of data. The model was developed using knowledge acquisition (KA), while 21 projects within the same domain were recorded in the knowledge base through semi-structured interviews with experienced project managers during a fine-tuning process. The contribution of this paper is the logical rules and the attributes by which we can understand the project managers' mindset in R&D projects of a higher education institutions. The paper includes an evaluation of the projects as a case study.","PeriodicalId":38056,"journal":{"name":"International Journal of Project Organisation and Management","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"R&D project evaluation at a university with knowledge acquisition and knowledge engineering\",\"authors\":\"Gabriella Haász, Katalin Czakó, Zoltán Baracskai\",\"doi\":\"10.1504/ijpom.2023.132712\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Significant research on R&D project evaluation methods is feasible when we have clear data and conditions for measurement. In university projects, it is unwise to use directly the reference points and practices of industrial or independent labs. As a result, the method and the model introduced in this paper are adapted to find the most informative success factors for engineering R&D projects when the non-professional project manager's experience is the primary source of data. The model was developed using knowledge acquisition (KA), while 21 projects within the same domain were recorded in the knowledge base through semi-structured interviews with experienced project managers during a fine-tuning process. The contribution of this paper is the logical rules and the attributes by which we can understand the project managers' mindset in R&D projects of a higher education institutions. The paper includes an evaluation of the projects as a case study.\",\"PeriodicalId\":38056,\"journal\":{\"name\":\"International Journal of Project Organisation and Management\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Project Organisation and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijpom.2023.132712\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Project Organisation and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijpom.2023.132712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
R&D project evaluation at a university with knowledge acquisition and knowledge engineering
Significant research on R&D project evaluation methods is feasible when we have clear data and conditions for measurement. In university projects, it is unwise to use directly the reference points and practices of industrial or independent labs. As a result, the method and the model introduced in this paper are adapted to find the most informative success factors for engineering R&D projects when the non-professional project manager's experience is the primary source of data. The model was developed using knowledge acquisition (KA), while 21 projects within the same domain were recorded in the knowledge base through semi-structured interviews with experienced project managers during a fine-tuning process. The contribution of this paper is the logical rules and the attributes by which we can understand the project managers' mindset in R&D projects of a higher education institutions. The paper includes an evaluation of the projects as a case study.
期刊介绍:
The aim of IJPOM is to attract contributions, and especially case studies, from a wide spectrum of academics and practitioners. As managers and business schools are increasingly placing increasing emphasis on strategy implementation issues, a project management approach will undoubtedly become more compelling and thus more acceptable in a wide range of fields. Readership IJPOM''s readership will come from professionals and managers dealing with project management on a daily basis. It also includes academics and researchers from various fields (business administration, economics and social sciences) concerned with the topic as well as policy makers and project planners in the field of business, commerce and industry. Contents IJPOM publishes original, theoretical, conceptual and empirical papers on a wide range of issues about project management. It also includes best practice examples as well as technical reports on the latest project management tools. Topics covered include Pre-project activities Project proposals/initial analysis, conception/design, management models Post-deployment review/documentation Engineering, production, service, construction projects Public sector programmes/campaigns, public/private sector partnerships Consultancy projects, public relations campaigns Mergers/acquisitions, outsourcing, alliances Particular events, humanitarian aid programmes, disasters projects Virtual projects, web-based PM, open-ended projects Communication/collaboration, negotiation skills, risk assessment/management Current/emerging standards, facilities/equipment support, quality assurance/testing Goals/objectives setting, budgeting, time/cost estimating HRM challenges, staffing, organisation change projects Opportunity management, marketing/branding strategies, measurement/metrics Project coordination/scheduling/governance, knowledge management.