Impact of Project Management Information Systems on Project Performance

Project management information systems (PMIS) usually acquired by organizations as software packages are meant to provide managers with the decision-making support needed in planning, organizing and controlling projects. However, the actual contribution of PMIS to project success or performance is still unknown. The purpose of this study is to empirically assess the quality of the PMIS presently used in organizations and to examine their impact on project managers and project performance, based on a PMIS success model. This model is composed of five constructs: the quality of the PMIS, the quality of the PMIS information output, the use of the PMIS, the individual impacts of the PMIS, and the impacts of the PMIS on project success. Analysis of questionnaire data obtained from 39 project managers confirms the significant contribution of PMIS to successful project management. Improvements in effectiveness and efficiency in managerial tasks were observed here in terms of better project planning, scheduling, monitoring, and control. Improvements were also observed in terms of timelier decision-making.

[1]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[2]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[3]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[4]  Matthew J. Liberatore,et al.  Factors influencing the usage and selection of project management software , 2003, IEEE Trans. Engineering Management.

[5]  Kenneth J. Calhoun,et al.  Organizational Computing as a Facilitator of Operational and Managerial Decision Making: An Exploratory Study of Managers' Perceptions* , 1996 .

[6]  Alan Tse,et al.  Comparing Response Rate, Response Speed and Response Quality of Two Methods of Sending Questionnaires: E-mail vs. Mail , 1998 .

[7]  M Amami,et al.  Use of project-management information system for planning information-systems development projects , 1993 .

[8]  Barbara Wixom,et al.  An Empirical Investigation of the Factors Affecting Data Warehousing Success , 2001, MIS Q..

[9]  Thompson S. H. Teo,et al.  An empirical study of the performance impact of computerization in the retail industry , 1998 .

[10]  Kai R. T. Larsen,et al.  A Taxonomy of Antecedents of Information Systems Success: Variable Analysis Studies , 2003, J. Manag. Inf. Syst..

[11]  Mark Keil,et al.  Reporting bad news on software projects: the effects of culturally constituted views of face‐saving , 2007, Inf. Syst. J..

[12]  Younghwa Lee,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[13]  Peter Weill,et al.  Assessing The Health of An Information Systems Applications Portfolio: An Example From Process Manufacturing , 1999, MIS Q..

[14]  Louis Raymond,et al.  Determinants of EIS use: Testing a behavioral model, , 1995, Decis. Support Syst..

[15]  François Bergeron,et al.  Factors Influencing the Use of DP Chargeback Information , 1986, MIS Q..

[16]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[17]  Jaak Jurison,et al.  The temporal nature of IS benefits: A longitudinal study , 1996, Inf. Manag..

[18]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[19]  Ali F. Farhoomand,et al.  A structural model of end user computing satisfaction and user performance , 1996, Inf. Manag..

[20]  Willy Herroelen,et al.  Project Scheduling—Theory and Practice , 2005 .

[21]  Juhani Iivari,et al.  Why do individuals use computer technology? A Finnish case study , 1995, Inf. Manag..

[22]  Ali Jaafari,et al.  Towards a smart project management information system , 1998 .

[23]  Mark Winter,et al.  Directions for future research in project management: The main findings of a UK government-funded research network , 2006 .

[24]  R. Klassen,et al.  Experimental comparison of Web, electronic and mail survey technologies in operations management , 2001 .

[25]  Peter B. Seddon,et al.  A Partial Test and Development of Delone and Mclean's Model of IS Success , 1996, Australas. J. Inf. Syst..

[26]  W. Doll,et al.  The development of a tool for measuring the perceived impact of information technology on work , 1999 .

[27]  Ali Jaafari.  Time and priority allocation scheduling technique for projects , 1996 .

[28]  Arie Hasman,et al.  Review Paper: Determinants of Success of Inpatient Clinical Information Systems: A Literature Review , 2003, J. Am. Medical Informatics Assoc..

[29]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[30]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[31]  Peter B. Seddon,et al.  A Partial Test and Development of the DeLone and McLean Model of IS Success , 1994, ICIS.

[32]  Margaret Tan,et al.  The consequences of information technology acceptance on subsequent individual performance , 1997, Inf. Manag..

[33]  Louis Raymond,et al.  Project management information systems: An empirical study of their impact on project managers and project success , 2008 .

[34]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory: , 1982 .

[35]  William R. King,et al.  Systems analysis and project management , 1983 .

[36]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[37]  Mokhtar Amami,et al.  Project Management and Communication of Product Development through Electronic Document Management , 2000 .

[38]  Albert L. Lederer,et al.  The role of monitoring and shirking in information systems project management , 2010 .

[39]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Independent Variables , 1992, J. Manag. Inf. Syst..

[40]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[41]  Marcello Braglia,et al.  An integrated approach to implement Project Management Information Systems within the Extended Enterprise , 2014 .

[42]  R. H. Waterman,et al.  In Search of Excellence , 1983 .

[43]  Joyce Fortune,et al.  Current practice in project management — an empirical study , 2002 .

[44]  Kristi Yuthas,et al.  Material matters: Assessing the effectiveness of materials management IS , 1998, Inf. Manag..