The Successful Delivery of Megaprojects: A Novel Research Method

Megaprojects are often associated with poor delivery performance and poor benefits realization. This article provides a method of identifying, in a quantitative and rigorous manner, the characteristics related to project management success in megaprojects. It provides an investigation of how stakeholders can use this knowledge to ensure more effective design and delivery for megaprojects. The research is grounded in 44 mega-projects and a systematic, empirically based methodology that employs the Fisher's exact test and machine learning techniques to identify the correlation between megaprojects’ characteristics and performance, paving the way to an understanding of their causation.

[1]  Y. C. Kog,et al.  Critical Success Factors for Different Components of Construction Projects , 2012 .

[2]  Ferdian Thung,et al.  Automatic Defect Categorization , 2012, 2012 19th Working Conference on Reverse Engineering.

[3]  Karlos Artto,et al.  Dimensions of distance in a network of firms: exploring Olkiluoto-3 nuclear power plant project , 2008 .

[4]  Ruggero Golini,et al.  Adoption of project management practices: The impact on international development projects of non-governmental organizations , 2015 .

[5]  K. Davis.  Different stakeholder groups and their perceptions of project success , 2014 .

[6]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[7]  Jeffrey K. Pinto,et al.  The causes of project failure , 1990 .

[8]  J. Söderlund,et al.  Business models in project business , 2010 .

[9]  Virginia A. Greiman,et al.  Megaproject Management: Lessons on Risk and Project Management from the Big Dig , 2013 .

[10]  Piotr Indyk,et al.  Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.

[11]  Giorgio Locatelli,et al.  Corruption in Public projects and Megaprojects: There is an elephant in the room! , 2017 .

[12]  Edward W. Merrow,et al.  Industrial Megaprojects: Concepts, Strategies, and Practices for Success , 2011 .

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

[14]  Marcel Veenswijk,et al.  Managing public–private megaprojects: Paradoxes, complexity, and project design , 2008 .

[15]  R. Müller,et al.  The Influence of Project Managers on Project Success Criteria and Project Success by Type of Project , 2007 .

[16]  Simon Shackley,et al.  Social Site Characterisation for CO2 Storage Operations to Inform Public Engagement in Poland and Scotland , 2013 .

[17]  Pg Wright,et al.  Mega transport projects—Beyond the ‘iron triangle’: Findings from the OMEGA research programme , 2013 .

[18]  Jie Huang,et al.  Handling social risks in government-driven mega project: An empirical case study from West China , 2016 .

[19]  Giorgio Locatelli,et al.  Small modular reactors: A comprehensive overview of their economics and strategic aspects , 2014 .

[20]  Paul A. David,et al.  Standardization, diversity and learning: Strategies for the coevolution of technology and industrial capacity , 1996 .

[21]  Liang Gong,et al.  Predicting bug-fixing time: An empirical study of commercial software projects , 2013, 2013 35th International Conference on Software Engineering (ICSE).

[22]  B. Flyvbjerg,et al.  Reference Class Forecasting for Hong Kong's Major Roadworks Projects , 2016, 1710.09419.

[23]  Denise Bower,et al.  What risks are common to or amplified in programmes: Evidence from UK public sector infrastructure schemes , 2011 .

[24]  Carlos H. Caldas,et al.  Analysing decision variables that influence preliminary feasibility studies using data mining techniques , 2009 .

[25]  Naomi J. Brookes,et al.  Managing social challenges in the nuclear decommissioning industry: A responsible approach towards better performance , 2017 .

[26]  B. Flyvbjerg,et al.  Megaprojects and Risk: An Anatomy of Ambition , 2004, Perspectives on Politics.

[27]  Alan Barrett,et al.  Questioning the Waste Hierarchy: The Case of a Region with a Low Population Density , 1997 .

[28]  Rodney Turner,et al.  Forecasting Success on Large Projects: Developing Reliable Scales to Predict Multiple Perspectives by Multiple Stakeholders over Multiple Time Frames , 2012 .

[29]  Jeffrey K. Pinto,et al.  Critical factors in successful project implementation , 1987, IEEE Transactions on Engineering Management.

[30]  Ashly Pinnington,et al.  Exploring the Value of Project Management: Linking Project Management Performance and Project Success , 2014 .

[31]  A. Mol,et al.  Public participation and trust in nuclear power development in China , 2013 .

[32]  Giorgio Locatelli,et al.  Risk management in a mega-project: the Universal EXPO 2015 Case , 2010 .

[33]  Edmundas Kazimieras Zavadskas,et al.  Multi-criteria analysis of Projects' performance in construction , 2014 .

[34]  Jie Gong,et al.  Predicting construction cost overruns using text mining, numerical data and ensemble classifiers , 2014 .

[35]  Herman Mooi,et al.  How do contract types and incentives matter to project performance , 2016 .

[36]  Barry M. Staw,et al.  ORGANIZATIONAL ESCALATION AND EXIT: LESSONS FROM THE SHOREHAM NUCLEAR POWER PLANT , 1993 .

[37]  Ye Yang,et al.  An investigation on the feasibility of cross-project defect prediction , 2012, Automated Software Engineering.

[38]  Robert J. Chapman,et al.  A framework for examining the dimensions and characteristics of complexity inherent within rail megaprojects , 2016 .

[39]  Yu-Ren Wang,et al.  A study of preproject planning and project success using ANNs and regression models , 2008 .

[40]  Giorgio Locatelli,et al.  Looking back to see the future: building nuclear power plants in Europe , 2012 .

[41]  Ricard Anguera,et al.  The Channel Tunnel – An Ex-post Economic Evaluation , 2006 .

[42]  Giorgio Locatelli,et al.  Power plants as megaprojects: Using empirics to shape policy, planning, and construction management , 2015 .

[43]  Bent Flyvbjerg,et al.  Geographical Variation in Project Cost Performance: The Netherlands versus Worldwide , 2012, 1307.2181.

[44]  B. Flyvbjerg,et al.  Should We Build More Large Dams? The Actual Costs of Hydropower Megaproject Development , 2014, 1409.0002.

[45]  Giorgio Locatelli,et al.  Open innovation in the power & energy sector: Bringing together government policies, companies’ interests, and academic essence , 2017 .

[46]  Bassam A. Hussein.  Factors influencing project success criteria , 2013, 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS).

[47]  Juani Swart,et al.  Identifying knowledge boundaries: the case of networked projects , 2011, J. Knowl. Manag..

[48]  อนิรุธ สืบสิงห์,et al.  Data Mining Practical Machine Learning Tools and Techniques , 2014 .

[49]  Sungyeol Choi,et al.  Fourteen lessons learned from the successful nuclear power program of the Republic of Korea , 2009 .

[50]  Ashly Pinnington,et al.  National culture differences in project management: Comparing British and Arab project managers' perceptions of different planning areas , 2013 .

[51]  George Ofori,et al.  Research on cross‐cultural leadership and management in construction: a review and directions for future research , 2009 .

[52]  Christine Nadel,et al.  Case Study Research Design And Methods , 2016 .

[53]  Karlos Artto,et al.  Dimensions of distance in a project network: Exploring Olkiluoto 3 nuclear power plant project , 2009 .

[54]  Danny C. K. Ho,et al.  Design and Build Project Success Factors: Multivariate Analysis , 2001 .

[55]  Giorgio Locatelli,et al.  Special Purpose Entities in Megaprojects: Empty Boxes or Real Companies? , 2017 .

[56]  Andrew R.J. Dainty,et al.  CRITICAL ANALYSIS OF RESEARCH ON PROJECT SUCCESS IN CONSTRUCTION MANAGEMENT JOURNALS , 2013 .

[57]  Christian Koch,et al.  The More the Better? Investigating cost, time and operational performance of the Danish and Swedish offshore wind farm cluster , 2014 .

[58]  Rolf A. Lundin,et al.  Researching Projects and Theorizing Families of Temporary Organizations , 2015 .

[59]  Terry Williams,et al.  Identifying Success Factors in Construction Projects: A Case Study , 2016 .

[60]  Audley Genus.  Managing large-scale technology and inter-organizational relations: the case of the Channel Tunnel , 1997 .

[61]  K. Artto,et al.  A new governance approach for multi-firm projects: Lessons from Olkiluoto 3 and Flamanville 3 nuclear power plant projects , 2011 .

[62]  D. Evers,et al.  Explaining Governance in Five Mega-City Regions: Rethinking the Role of Hierarchy and Government , 2013 .

[63]  Alexander Q. Gilbert,et al.  Risk, innovation, electricity infrastructure and construction cost overruns: Testing six hypotheses , 2014 .

[64]  Artemis Chang,et al.  Temporal boundary objects in megaprojects : mapping the system with the integrated master schedule , 2013 .

[65]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[66]  J. Newig,et al.  Public participation and local environmental planning: Testing factors influencing decision quality and implementation in four case studies from Germany , 2015 .

[67]  M. Kapsali,et al.  Comparing recent views of public attitude on wind energy, photovoltaic and small hydro applications , 2013 .

[68]  John Nellthorp,et al.  Ex Post Appraisal: What Lessons Can Be Learnt from EU Cohesion Funded Transport Projects , 2012 .

[69]  S. Tamer Cavusgil,et al.  Managing global megaprojects: Complexity and risk management , 2013 .

[70]  Benjamin K. Sovacool,et al.  An international comparative assessment of construction cost overruns for electricity infrastructure , 2014 .

[71]  Ian F. Alexander,et al.  Understanding project sociology by modeling stakeholders , 2004, IEEE Software.

[72]  Giorgio Locatelli,et al.  Systems Engineering to improve the governance in complex project environments , 2014 .

[73]  Tuomas Ahola,et al.  Purchasing strategies and value creation in industrial turnkey projects , 2008 .

[74]  Carlos H. Caldas,et al.  Assessing Scope and Managing Risk in the Highway Project Development Process , 2009 .

[75]  K. Eisenhardt.  Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[76]  Tyson R. Browning,et al.  A conceptual framework for tackling knowable unknown unknowns in project management , 2014 .

[77]  Petr Klusáček,et al.  THE EXPANSION OF COAL MINING IN THE DEPRESSION AREAS — A WAY TO DEVELOPMENT? , 2014 .

[78]  Yoram Reich,et al.  Evaluating machine learning models for engineering problems , 1999, Artif. Intell. Eng..

[79]  K. Artto,et al.  Business models in project-based firms - Towards a typology of solution-specific business models , 2010 .

[80]  Mark A. Hall,et al.  Correlation-based Feature Selection for Machine Learning , 2003 .

[81]  Sung Ho Park,et al.  Whole life performance assessment: critical success factors , 2009 .

[82]  Thomas G. Dietterich.  What is machine learning? , 2020, Archives of Disease in Childhood.

[83]  Andreas Lindén,et al.  Community attachment and municipal economy: Public attitudes towards wind power in a local context , 2015 .

[84]  Giorgio Locatelli,et al.  Using Multi-Case Approaches In Project Management Research: The Megaproject Experience , 2015 .

[85]  Chris Leach,et al.  Introduction to statistics: A nonparametric approach for the social sciences , 1979 .

[86]  Min-Yuan Cheng,et al.  Project success prediction using an evolutionary support vector machine inference model , 2010 .

[87]  Changmin Kim,et al.  Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables , 2012 .

[88]  B. Wee.  Large Infrastructure Projects: A Review of the Quality of Demand Forecasts and Cost Estimations , 2007 .

[89]  Bent Flyvbjerg,et al.  From Nobel Prize to Project Management: Getting Risks Right , 2006, ArXiv.

[90]  Benjamin K. Sovacool,et al.  Construction Cost Overruns and Electricity Infrastructure: An Unavoidable Risk? , 2014 .