Project selection in project portfolio management: An artificial neural network model based on critical success factors

Abstract While a growing body of literature focuses in detecting and analyzing the main reasons affecting project success, the use of these results in project portfolio management is still under investigation. Project critical success factors (CSFs) can serve as the fundamental criteria to prevent possible causes of failures with an effective project selection process, taking into account company strategic objectives, project manager’s experience and the competitive environment. This research proposes an innovative methodology to help managers in assessing projects during the selection phase. The paper describes the design, development and testing stages of a decision support system to predict project performances. An artificial neural network (ANN), scalable to any set of CSFs, classifies the level of project’s riskiness by extracting the experience of project managers from a set of past successful and unsuccessful projects.

[1]  Adrien Presley,et al.  R&D project selection using the analytic network process , 2002, IEEE Trans. Engineering Management.

[2]  Norman R. Baker,et al.  Project Selection Decision Making Linked to a Dynamic Environment , 1985 .

[3]  S. T. Ng,et al.  Factors contributing to the success of equipment-intensive subcontractors in construction , 2009 .

[4]  Lavagnon A. Ika.  Project Success as a Topic in Project Management Journals , 2009 .

[5]  John P Zaniewski,et al.  Expert Project Recommendation Procedure for Arizona Department of Transportation’s Pavement Management System , 1997 .

[6]  Guomin Zhang,et al.  Modelling optimal risk allocation in PPP projects using artificial neural networks , 2011 .

[7]  Pei-Chi Chen,et al.  The coordination processes and dynamics within the inter-organizational context of contract-based outsourced engineering projects , 2013 .

[8]  Shinhong Kim,et al.  An integrated approach for interdependent information system project selection , 2001 .

[9]  Madjid Tavana,et al.  A methodology for selecting portfolios of projects with interactions and under uncertainty , 2012 .

[10]  W. Bates.  IMPROVING PROJECT MANAGEMENT , 1998 .

[11]  Ali Jaafari,et al.  Management of risks, uncertainties and opportunities on projects: time for a fundamental shift , 2001 .

[12]  Ofer Zwikael,et al.  From Critical Success Factors to Critical Success Processes , 2006 .

[13]  Van Truong Luu,et al.  Improving project management performance of large contractors using benchmarking approach , 2008 .

[14]  J. Söderlund.  Pluralism in Project Management: Navigating the Crossroads of Specialization and Fragmentation , 2011 .

[15]  Anton de Wit,et al.  Measurement of project success , 1988 .

[16]  Y. C. Kog,et al.  Neural networks for construction project success , 1997 .

[17]  Walter O. Rom,et al.  An empirical investigation of project evaluation criteria , 2001 .

[18]  R. G. Cooper,et al.  An empirically derived new product project selection model , 1981, IEEE Transactions on Engineering Management.

[19]  Y. C. Kog,et al.  Critical Success Factors for Different Project Objectives , 1999 .

[20]  Michael J. Ginzberg.  Improving MIS project selection , 1979 .

[21]  Masoud Rabbani,et al.  A multi-objective particle swarm optimization for project selection problem , 2010, Expert Syst. Appl..

[22]  David Lowe,et al.  Data modelling and the application of a neural network approach to the prediction of total construction costs , 2002 .

[23]  Bernard Cova,et al.  Project Success:: Lessons from the Andria Case , 2004 .

[24]  J. Pinto,et al.  Critical factors in project implementation: a comparison of construction and R&D projects , 1989 .

[25]  Clive Smallman,et al.  Managing project risks: a case study from the utilities sector , 2002 .

[26]  H. Murat,et al.  A neural network approach for early cost estimation of structural systems of buildings , 2004 .

[27]  A. Shenhar,et al.  Risk Management, Project Success, and Technological Uncertainty , 2002 .

[28]  David H. Gobeli,et al.  Significance of project management structure on development success , 1989 .

[29]  R. Cooper,et al.  Portfolio management for new product development: results of an industry practices study , 2001 .

[30]  José Luis Duarte Ribeiro,et al.  An economic–probabilistic model for project selection and prioritization , 2014 .

[31]  Jonas Söderlund,et al.  Building theories of project management : Past research, questions for the future , 2004 .

[32]  Shaligram Pokharel.  Stakeholders' roles in virtual project environment: A case study , 2011 .

[33]  Robert G. Cooper,et al.  An empirically derived new product project selection model , 1981 .

[34]  Jeffrey K. Pinto,et al.  How to fail in project management (without really trying) , 1996 .

[35]  Reza Ramazani Khorshid-Doust,et al.  A method of project selection based on capital asset pricing theories in a framework of mean–semideviation behavior , 2008 .

[36]  Peerasit Patanakul,et al.  How project strategy is used in project management: Cases of new product development and software development projects , 2012 .

[37]  J. Pinto,et al.  Critical Success Factors in R&D Projects , 1989 .

[38]  Y. Kwak,et al.  Assessing Project Management Maturity , 2000 .

[39]  Chris Chapman,et al.  Risk-management perspective on the project lifecycle , 1995 .

[40]  Paul C. Ivey,et al.  An R&D options selection model for investment decisions , 2005 .

[41]  Sid Ghosh,et al.  Identifying and assessing the critical risk factors in an underground rail project in Thailand: a factor analysis approach , 2004 .

[42]  David K. H. Chua,et al.  Model for Construction Budget Performance—Neural Network Approach , 1997 .

[43]  Gerardo W Flintsch,et al.  EXPERT PROJECT RECOMMENDATION PROCEDURE FOR ADOT'S PAVEMENT MANAGEMENT SYSTEM , 1997 .

[44]  C. S Lim,et al.  Criteria of project success: an exploratory re-examination , 1999 .

[45]  J. Thomas,et al.  Understanding the Value of Project Management: First Steps on an International Investigation in Search of Value , 2007 .

[46]  Martin T. Hagan,et al.  Neural network design , 1995 .

[47]  David Baccarini,et al.  The risk ranking of projects: a methodology , 2001 .

[48]  D. Lowe,et al.  Predicting construction cost using multiple regression techniques , 2006 .

[49]  Dov Dvir,et al.  Critical managerial factors affecting defense projects success: A comparison between neural network and regression analysis , 2006, Eng. Appl. Artif. Intell..

[50]  Jack R. Meredith,et al.  Project Management: A Managerial Approach , 1989 .

[51]  Mauro Mancini,et al.  A Multi-Dimensional Analysis of Major Risks in Complex Projects , 2007 .

[52]  Chen Shen.  Risk Management Project , 2012 .

[53]  David Hillson,et al.  Extending the risk process to manage opportunities , 2002 .

[54]  Adisa A. Jimoh,et al.  Comparison between regression analysis and artificial neural network in project selection , 2011, 2011 IEEE International Conference on Industrial Engineering and Engineering Management.

[55]  J. Pinto,et al.  Variations in Critical Success Factors Over the Stages in the Project Life Cycle , 1988 .

[56]  D. Bryde.  Perceptions of the impact of project sponsorship practices on project success , 2008 .

[57]  Mark Keil,et al.  Predicting information technology project escalation: A neural network approach , 2003, Eur. J. Oper. Res..

[58]  Sue Newell,et al.  Critical Success Factors , 2005, ICEIS.

[59]  Junying Liu,et al.  Interrelationships among Critical Success Factors of Construction Projects Based on the Structural Equation Model , 2012 .

[60]  M. Wenner,et al.  [A project for success]. , 1996, Soins; la revue de reference infirmiere.

[61]  Frederik Ahlemann,et al.  Successful project portfolio management beyond project selection techniques: Understanding the role of structural alignment , 2015 .

[62]  Jeffrey K. Pinto,et al.  Project Implementation Profile: a tool to aid project tracking and control , 1990 .

[63]  H. Maylor.  Beyond the Gantt chart:: Project management moving on , 2001 .

[64]  Min Liu,et al.  Using neural network to predict performance of design-build projects in Singapore , 2004 .

[65]  Gerardo W. Flintsch,et al.  Artificial Neural Network for Selecting Pavement Rehabilitation Projects , 1996 .

[66]  Terry Cooke-Davies,et al.  The “real” success factors on projects , 2002 .

[67]  Karlos Artto,et al.  What is project strategy , 2007 .

[68]  James H. Lambert,et al.  A Methodology for , 2000 .

[69]  E. Larson,et al.  Project Management: The Managerial Process , 2002 .

[70]  Adnane Belout,et al.  Factors influencing project success: the impact of human resource management , 2004 .

[71]  Chinho Lin,et al.  A fuzzy decision support system for strategic portfolio management , 2004, Decis. Support Syst..

[72]  H. Murat Gunaydin,et al.  A neural network approach for early cost estimation of structural systems of buildings , 2004 .

[73]  J. Rodney Turner,et al.  The Project Manager's Leadership Style as a Success Factor on Projects: A Literature Review , 2005 .

[74]  A. Shenhar,et al.  The relative importance of project success dimensions , 1997 .

[75]  R. P. Mohanty.  Project selection by a multiple-criteria decision-making method: an example from a developing country , 1992 .

[76]  A. D. Henriksen,et al.  A practical R&D project-selection scoring tool , 1999 .

[77]  Yu-Ren Wang,et al.  Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models , 2012 .

[78]  Peerasit Patanakul,et al.  Standardized project management may increase development projects success , 2005 .

[79]  Bassam Baroudi,et al.  Project management education: The human skills imperative , 2008 .

[80]  Roger J. Calantone,et al.  Artificial Neural Network Decision Support Systems for New Product Development Project Selection , 2000 .

[81]  Timothy J. Kloppenborg,et al.  The Current State of Project Management Research: Trends, Interpretations, and Predictions , 2002 .

[82]  Munib Ahmad Asif.  Critical success factor for different project objectives , 2003 .

[83]  Guido Bugmann,et al.  NEURAL NETWORK DESIGN FOR ENGINEERING APPLICATIONS , 2001 .