{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T03:27:44Z","timestamp":1648956464093},"reference-count":33,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Info. Know. Mgmt."],"published-print":{"date-parts":[[2007,6]]},"abstract":"<jats:p> Information system project failure is described as a common phenomenon. Escalation occurs when there are continued commitments for a troubled project and has been observed as one pattern of failure. The main purpose of this research was to investigate whether software development risks were the factors to discriminate between escalated projects and non-escalated projects. Thirty critical risks were selected and classified into nine risk categories under three dimensions such as product, people, and process. Probability and loss in each nine risk category were measured on the basis of 247 survey cases from IS professionals. The results show that the risk probability in the people dimension and the process dimension with management aspects was more important to predict escalation than the risk loss in those dimensions and the risk impact in the product dimension with technical aspects. The results imply that managerial factors are more critical than technical factors in predicting IS development project escalation. Additionally, it was noticed that the CMM level of an organisation was very significant to predict successful projects. <\/jats:p>","DOI":"10.1142\/s0219649207001688","type":"journal-article","created":{"date-parts":[[2007,6,29]],"date-time":"2007-06-29T17:02:27Z","timestamp":1183136547000},"page":"153-163","source":"Crossref","is-referenced-by-count":2,"title":["Prediction of IS Project Escalation Based on Software Development Risk Management"],"prefix":"10.1142","volume":"06","author":[{"given":"Eun Hee","family":"Kim","sequence":"first","affiliation":[{"name":"Graduate Program in Technology and Management, School of Engineering, Seoul National University, San 56-1, Shillim-Dong, Kwanak-Gu, Seoul 151-742, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongtae","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, School of Engineering, Seoul National University, San 56-1, Shillim-Dong, Kwanak-Gu, Seoul 151-742, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1016\/0749-5978(85)90049-4"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1016\/0361-3682(90)90023-N"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.1993.11518006"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1109\/52.62930"},{"key":"rf5","doi-asserted-by":"crossref","first-page":"39","DOI":"10.5465\/amr.1992.4279568","volume":"17","author":"Brockner J.","journal-title":"Academy of Management Review"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-5072-2"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1109\/52.589242"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780198289531.001.0001"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.2307\/2989922"},{"key":"rf11","volume-title":"Multivariate Data Analysis","author":"Hair J. 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