[ { "key": "X95DMWMB", "version": 6, "library": { "type": "group", "id": 248065, "name": "KPI in R&D", "links": { "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/248065/items/X95DMWMB", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd/items/X95DMWMB", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Flipse et al.", "parsedDate": "2013-01", "numChildren": 0 }, "data": { "key": "X95DMWMB", "version": 6, "itemType": "journalArticle", "title": "Identifying key performance indicators in food technology contract R&D", "creators": [ { "creatorType": "author", "firstName": "Steven M.", "lastName": "Flipse" }, { "creatorType": "author", "firstName": "Maarten C. A.", "lastName": "van der Sanden" }, { "creatorType": "author", "firstName": "Tim", "lastName": "van der Velden" }, { "creatorType": "author", "firstName": "Frances T. J. M.", "lastName": "Fortuin" }, { "creatorType": "author", "firstName": "S. W. F.", "lastName": "(Onno) Omta" }, { "creatorType": "author", "firstName": "Patricia", "lastName": "Osseweijer" } ], "abstractNote": "Innovating companies increasingly rely on outsourcing to Contract Research Organisations (CROs) for their Research and Development (R&D), which are largely understudied. This paper presents the outcome of a case study in the field of food technology contract research, identifying context specific Key Performance Indicators (KPIs) for a CRO. KPIs were identified with a modified version of the Wageningen Innovation Assessment Tool, with which 72 finished successful and less successful projects were analysed. We developed a benchmarking tool to evaluate starting or running innovation project quality, which allows for direct, in situ project improvements by project leaders at CROs.", "publicationTitle": "Journal of Engineering and Technology Management", "publisher": "", "place": "", "date": "January 2013", "volume": "30", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "72-94", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Journal of Engineering and Technology Management", "DOI": "10.1016/j.jengtecman.2012.11.003", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S092347481200046X", "accessDate": "2014-02-11T23:41:31Z", "PMID": "", "PMCID": "", "ISSN": "0923-4748", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Contract research organisation research and development", "type": 1 }, { "tag": "Food technology", "type": 1 }, { "tag": "Social aspects of innovation", "type": 1 }, { "tag": "Technology and innovation management", "type": 1 }, { "tag": "key performance indicators", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-02-11T23:41:31Z", "dateModified": "2014-02-11T23:41:31Z" } }, { "key": "IUE9R3U2", "version": 5, "library": { "type": "group", "id": 248065, "name": "KPI in R&D", "links": { "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/248065/items/IUE9R3U2", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd/items/IUE9R3U2", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Samsonowa et al.", "parsedDate": "2009", "numChildren": 0 }, "data": { "key": "IUE9R3U2", "version": 5, "itemType": "journalArticle", "title": "DEFINING KPI SETS FOR INDUSTRIAL RESEARCH ORGANIZATIONS — A PERFORMANCE MEASUREMENT APPROACH", "creators": [ { "creatorType": "author", "firstName": "Tatjana", "lastName": "Samsonowa" }, { "creatorType": "author", "firstName": "Peter", "lastName": "Buxmann" }, { "creatorType": "author", "firstName": "Wolfgang", "lastName": "Gerteis" } ], "abstractNote": "", "publicationTitle": "International Journal of Innovation Management", "publisher": "", "place": "", "date": "06/2009", "volume": "13", "issue": "02", "section": "", "partNumber": "", "partTitle": "", "pages": "157-176", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1142/S1363919609002248", "citationKey": "", "url": "http://www.worldscientific.com/doi/abs/10.1142/S1363919609002248", "accessDate": "2014-02-11T23:38:47Z", "PMID": "", "PMCID": "", "ISSN": "1363-9196, 1757-5877", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-02-11T23:38:47Z", "dateModified": "2014-02-11T23:38:47Z" } }, { "key": "FT9D679M", "version": 4, "library": { "type": "group", "id": 248065, "name": "KPI in R&D", "links": { "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/248065/items/FT9D679M", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd/items/FT9D679M", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Lan and Li", "parsedDate": "2010-08", "numChildren": 0 }, "data": { "key": "FT9D679M", "version": 4, "itemType": "conferencePaper", "title": "Design and realization of the research and development staff performance assessment system", "creators": [ { "creatorType": "author", "firstName": "Yazhu", "lastName": "Lan" }, { "creatorType": "author", "firstName": "Shu", "lastName": "Li" } ], "abstractNote": "Performance assessment has become an effective means to assess the research and development (R&D) staff scientifically and reasonably. Taken M Biological Research Institute as an example of the performance assessment system, different key performance indicators(KPI) are proposed according to the different job responsibilities in different departments. By using analytical hierarchy process and combining assistant indicators, the weight value of the indicator system is determined. B/S mode is used to build this system, which improves the work efficiency of R&D staff. ASP.NET2.0 technology is used to develop the application procedures, which makes routine maintenance more convenient.", "proceedingsTitle": "2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)", "conferenceName": "2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)", "publisher": "", "place": "", "date": "August 2010", "eventPlace": "", "volume": "4", "issue": "", "numberOfVolumes": "", "pages": "1783-1787", "series": "", "seriesNumber": "", "DOI": "10.1109/FSKD.2010.5569414", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "AHP method", "type": 1 }, { "tag": "ASP.NET2.0", "type": 1 }, { "tag": "Biology", "type": 1 }, { "tag": "Databases", "type": 1 }, { "tag": "KPI", "type": 1 }, { "tag": "Mathematical model", "type": 1 }, { "tag": "Performance assessment", "type": 1 }, { "tag": "Personnel", "type": 1 }, { "tag": "Protein engineering", "type": 1 }, { "tag": "R&D staff", "type": 1 }, { "tag": "R&D staff performance assessment system", "type": 1 }, { "tag": "Web server", "type": 1 }, { "tag": "analytical hierarchy process", "type": 1 }, { "tag": "decision making", "type": 1 }, { "tag": "job responsibilities", "type": 1 }, { "tag": "job specification", "type": 1 }, { "tag": "key performance indicators", "type": 1 }, { "tag": "research and development", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-02-11T23:37:40Z", "dateModified": "2014-02-11T23:37:40Z" } }, { "key": "GQGASCJV", "version": 3, "library": { "type": "group", "id": 248065, "name": "KPI in R&D", "links": { "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/248065/items/GQGASCJV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd/items/GQGASCJV", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Tu et al.", "parsedDate": "2010", "numChildren": 0 }, "data": { "key": "GQGASCJV", "version": 3, "itemType": "journalArticle", "title": "The design of key performance indicators on technology development of a wafer foundry", "creators": [ { "creatorType": "author", "firstName": "Ying-Mei", "lastName": "Tu" }, { "creatorType": "author", "firstName": "Hsin-Nan", "lastName": "Chen" }, { "creatorType": "author", "firstName": "Sheng-Hung", "lastName": "Chang" } ], "abstractNote": "Due to capital intensive characteristics, R&D departments always share production equipment with manufacturing departments in the wafer foundry industry. The goal of key performance indicators (KPIs) among these two departments is contradictory, a situation that results in longer R&D cycle times and delays in time-to-market. To solve the problem, this study has adapted the concepts of X-factor theory to construct an R&D engineering lot management model. There are two KPIs adapted in this model. The first KPI, the X-factor, is applied to trace on-time delivery performance of the new R&D technology. The second KPI, F-factor, is regarded as an index that reflects the holding cost and manufacturability of R&D lots, and simultaneously evaluates the maturity of the technology. Furthermore, a set of real data from the Fab is applied to examine the effectiveness of this model. The results reveal that this model successfully improves operational performance and shortens the R&D cycle time, which ultimately enables a factory to achieve a global optimization.", "publicationTitle": "Journal of the Chinese Institute of Industrial Engineers", "publisher": "", "place": "", "date": "2010", "volume": "27", "issue": "5", "section": "", "partNumber": "", "partTitle": "", "pages": "351-362", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1080/10170669.2010.495529", "citationKey": "", "url": "http://www.tandfonline.com/doi/abs/10.1080/10170669.2010.495529", "accessDate": "2014-02-11T23:31:03Z", "PMID": "", "PMCID": "", "ISSN": "1017-0669", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Taylor and Francis+NEJM", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-02-11T23:31:03Z", "dateModified": "2014-02-11T23:31:03Z" } }, { "key": "GA33HSJW", "version": 2, "library": { "type": "group", "id": 248065, "name": "KPI in R&D", "links": { "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/248065/items/GA33HSJW", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/kpi_in_rd/items/GA33HSJW", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Gaspar et al.", "parsedDate": "2013-11", "numChildren": 0 }, "data": { "key": "GA33HSJW", "version": 2, "itemType": "conferencePaper", "title": "On scientific research information system", "creators": [ { "creatorType": "author", "firstName": "V.", "lastName": "Gaspar" }, { "creatorType": "author", "firstName": "L.", "lastName": "Madarasz" }, { "creatorType": "author", "firstName": "R.", "lastName": "Andoga" }, { "creatorType": "author", "firstName": "I.", "lastName": "Glodova" } ], "abstractNote": "The presented paper proposes a design of a scientific research information system (SRIS), intended for real world use according to existing requirements and processes in the Laboratory of Intelligent Control Systems of Aircraft Engines. The novelty of the proposed SRIS lies in universal and narrow scope of the system and digitalization of existing manual processes, with the addition of algorithms and methods for research efficiency evaluation. The key idea is the possibility to design own quantitative key performance indicators (KPIs) for the efficiency evaluation. It is possible to generalize the presented approach for any research environment, either for technical, financial, time related or information efficiency evaluation. In case of a complex technical systems, the SRIS can also be considered a decision support system (DSS), when using various data mining algorithms e.g. clustering, classification, association rules, etc.", "proceedingsTitle": "2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)", "conferenceName": "2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)", "publisher": "", "place": "", "date": "November 2013", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "75-78", "series": "", "seriesNumber": "", "DOI": "10.1109/CINTI.2013.6705167", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Algorithm design and analysis", "type": 1 }, { "tag": "Educational institutions", "type": 1 }, { "tag": "Information systems", "type": 1 }, { "tag": "KPI", "type": 1 }, { "tag": "Knowledge discovery", "type": 1 }, { "tag": "Laboratories", "type": 1 }, { "tag": "Laboratory of Intelligent Control Systems of Aircraft Engines", "type": 1 }, { "tag": "Reliability", "type": 1 }, { "tag": "SRIS", "type": 1 }, { "tag": "complex technical systems", "type": 1 }, { "tag": "data mining", "type": 1 }, { "tag": "data mining algorithms", "type": 1 }, { "tag": "decision support system", "type": 1 }, { "tag": "decision support systems", "type": 1 }, { "tag": "information efficiency evaluation", "type": 1 }, { "tag": "manual process digitalization", "type": 1 }, { "tag": "quantitative key performance indicators", "type": 1 }, { "tag": "scientific information systems", "type": 1 }, { "tag": "scientific research information system", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-02-11T23:23:02Z", "dateModified": "2014-02-11T23:23:02Z" } } ]