000			01228nam a22001577a 4500
999			_c517980 _d517980
008			210806b ||||| |||| 00| 0 eng d
100			_aHopmere, M., Crawford, L. and Harre, M.S. _928289
245			_aProactively monitoring large project portfolios
260			_aProject Management Journal
300			_a51(6), Dec, 2020: p.656-669
520			_aThe discipline of project management has evolved over the years, yet projects still run into trouble, failing entirely, running late, or not delivering expected benefits. Program and portfolio managers need assistance identifying potentially troubled projects while they are being delivered, allowing time to intervene. We report on our investigation of whether project status reports from IT project portfolios can be used to predict projects that may be trending into trouble ahead of time. We found that this initial approach resulted in a high degree of accurate predictions opening new avenues of research in predicting project progress and health. – Reproduced
650			_aProject portfolio management, Risk management, Early warning signs, Time series forecasting _926524
773			_aProject Management Journal
906			_aPROJECT MANAGEMENT
942			_cAR