A Temporal Model of Information Technology Project Performance.

Author List: GEMINO, ANDREW; Reich, Blaize Horner; SAUER, CHRIS;
Journal of Management Information Systems, 2007, Volume 24, Issue 3, Page 9/1/1944.
Efficiently delivering expected performance from information technology projects remains a critical challenge for many organizations. Improving our understanding of how various factors influence project performance is therefore an important research objective. This study proposes and tests a temporal model of information technology project performance (TMPP). It shows that performance can be better understood by separating risk factors into earlier (a priori) risk factors and later (emergent) risk factors, and modeling the influence of the former on the latter. Project performance, the dependent variable, is measured by considering both process (budget and schedule) and product (outcome) components. The model includes interactions between risk factors, project management practices, and project performance components. The model is tested using partial least squares analysis with data from a survey of 194 project managers. Our results indicate that the TMPP increases explanatory power when compared with models that link risk factors directly to project performance. The results show the importance for active risk management of recognizing, planning for, and managing a priori and emergent risk factors. The finding of a strong relationship between structural risk factors and subsequent volatility shows the need for risk management practice to recognize the interaction of a priori and emergent risk factors. The results confirm the importance of knowledge resources, organizational support, and project management practices, and demonstrate the ways in which they reinforce each other.
Keywords: information technology project management;knowledge management;project performance;software project risk
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#93 0.140 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical significant suggest outcomes better positive
#108 0.138 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#198 0.130 factors success information critical management implementation study factor successful systems support quality variables related results key model csf importance determinants
#264 0.119 risk risks management associated managing financial appropriate losses expected future literature reduce loss approach alternative mitigate failures failure cause mitigation
#135 0.115 project projects development management isd results process team developed managers teams software stakeholders successful complex develop contingencies problems greater planning
#252 0.105 management practices technology information organizations organizational steering role fashion effective survey companies firms set planning focus committees executives managing committee
#188 0.087 processes interaction new interactions temporal structure research emergent process theory address temporally core discussion focuses area underlying deep structures way
#209 0.071 results study research information studies relationship size variables previous variable examining dependent increases empirical variance accounting independent demonstrate important addition