Modeling and Analyzing Factors Affecting Project Delays Using an Integrated Social Network-Fuzzy MICMAC Approach

References

• Abdelhadi, Y., Dulaimi, M., & Bajracharya, A. (2018). Factors influencing the selection of delay analysis methods in construction projects in UAE. International Journal of Construction Management. doi:10.1080/15623599.2018.1435155
   Web of Science ®Google Scholar
• Aibinu, A., & Jagboro, G. (2002). The effects of construction delays on project delivery in Nigerian construction industry. International Journal of Project Management, 20(8), 593–599. doi:10.1016/S0263-7863(02)00028-5
   Google Scholar
• Assaf, S., & Al Hejji, S. (2006). Causes of delay in large construction projects. International Journal of Project Management, 24, 349–357. doi:10.1016/j.ijproman.2005.11.010
   Google Scholar
• Baccarini, D. (1999). The logical framework method for defining project success. Project Management Journal, 30(4), 25–32. doi:10.1177/875697289903000405
   Google Scholar
• Bakker, R., DeFillippi, R., Schwab, A., & Sydow, J. (2016). Temporary organizing: Promises, processes, problems. Organization Studies, 37(12), 1703–1719. doi:10.1177/0170840616655982
   Web of Science ®Google Scholar
• Bharadwaj, A., Keil, M., & Mahring, M. (2009). Effects of information technology failures on the market value of firms. Journal of Strategic Information Systems, 18(2), 66–79. doi:10.1016/j.jsis.2009.04.001
   Web of Science ®Google Scholar
• Bhosale, V., & Kant, R. (2016). An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers. International Journal of Production Research, 54, 7374–7399. doi:10.1080/00207543.2016.1189102
   Web of Science ®Google Scholar
• Borgatti, S. (2005). Centrality and network flow. Social Networks, 27, 55–71. doi:10.1016/j.socnet.2004.11.008
   Web of Science ®Google Scholar
• Bredillet, C., Tywoniak, S., & Tootoonchy, M. (2018). Why and how do project management offices change? A structural analysis approach. International Journal of Project Management, 36(5), 744–761. doi:10.1016/j.ijproman.2018.04.001
   Web of Science ®Google Scholar
• Brunelli, M., Fedrizzi, M., & Fedrizzi, M. (2014). Fuzzy m-ary adjacency relations in social network analysis: Optimization and consensus evaluation. Information Fusion, 17, 36–45. doi:10.1016/j.inffus.2011.11.001
   Web of Science ®Google Scholar
• Chipulu, M., Ojiako, U., Marshall, A., Williams, T., Bititci, U., Mota, C., … Stamati, T. (2019). A dimensional analysis of stakeholder assessment of project outcomes. Production Planning & Control. In Press. doi:10.1080/09537287.2019.1567859
   Web of Science ®Google Scholar
• Chu, J., Liu, X., & Wang, Y. (2016). Social network analysis based approach to group decision making problem with fuzzy preference relations. Journal of Intelligent & Fuzzy Systems, 31(3), 1271–1285. doi:10.3233/IFS-162193
   Web of Science ®Google Scholar
• Cooke-Davies, T., & Arzymanow, A. (2003). The maturity of project management in different industries: An investigation into variations between project management models. International Journal of Project Management, 21(6), 471–478. doi:10.1016/S0263-7863(02)00084-4
   Google Scholar
• Crapo, A., Waisel, L., Wallace, W., & Willemain, T. (2000). Visualization and the process of modeling: a cognitive-theoretic view. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining. 218–226. Boston, MA: ACM.
   Google Scholar
• Dubey, R., & Ali, S. (2014). Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Global Journal of Flexible Systems Management, 15(2), 131–143. doi:10.1007/s40171-014-0058-9
   Google Scholar
• Duperrin, J., & Godet, M. (1973). Méthode de Hiérarchisation des éléments d’un système: essai de prospectivité du système de l’énergie nucléaire dans son contexte sociétal [Hierarchy method elements of a system: Test system prospectively of nuclear energy in its societal context]. Commissariat à l’Energie Atomique [Commissioner for Atomic Energy, Report CEA-R-4541], Rapport CEA-R-4541.
   Google Scholar
• Faridi, A., & El Sayegh, S. (2006). Significant factors causing delay in the UAE construction industry. Construction Management and Economics, 24, 1167–1176. doi:10.1080/01446190600827033
   Google Scholar
• Freeman, L. (1979). Centrality in social networks: conceptual clarification. Social Networks, 1(3), 215–239. doi:10.1016/0378-8733(78)90021-7
   Web of Science ®Google Scholar
• Gibbs, D., Lord, W., Emmitt, S., & Ruikar, K. (2016). Interactive exhibit to assist with understanding project delays. ASCE Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 9(1), 04516008.
   Google Scholar
• Gidado, K., & Niazai, G. (2012). Causes of project delay in the construction industry in Afghanistan, Engineering, Project and Production Management (EPPM) Conference, University of Brighton, Brighton, 10-11 September.
   Google Scholar
• Ibbs, C., & Kwak, Y. (2000). Assessing project management maturity. Project Management Journal, 31(1), 32–43. doi:10.1177/875697280003100106
   Google Scholar
• Jackson, D. (2003). Revisiting sample size and the number of parameter estimates: Some support for the N: qhypothesis. Structural Equation Modeling, 10, 128–141. doi:10.1207/S15328007SEM1001_6
   Web of Science ®Google Scholar
• Johnson, R., & Babu, R. (2018). Time and cost overruns in the UAE construction industry: A critical analysis. International Journal of Construction Management, 1–10. (In Press). doi:10.1080/15623599.2018.1484864
   Web of Science ®Google Scholar
• Kikwasi, G. J. (2012). Causes and effects of delays and disruptions in construction projects in Tanzania. Australasian Journal of Construction Economics and Building, 1, 52–59.
   Google Scholar
• Kline, R. (2016). Principles and practice of structural equation modeling. New York, NY: The Guilford Press.
   Google Scholar
• Lengler, R., & Eppler, M. 2007. Towards a periodic table of visualization methods for management. In Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering (GVE ‘07), M. Alam (Ed.), 83–88. Anaheim, CA: ACTA Press.
   Google Scholar
• Ligthart, R., Oerlemans, L., & Noorderhaven, N. (2016). In the shadows of time: A case study of flexibility behaviors in an interorganizational project. Organization Studies, 37(12), 1721–1743. doi:10.1177/0170840616655487
   Web of Science ®Google Scholar
• Liu, S., Cui, W., Wu, Y., & Liu, M. (2014). A survey on information visualization: Recent advances and challenges. The Visual Computer, 30(12), 1373–1393. doi:10.1007/s00371-013-0892-3
   Web of Science ®Google Scholar
• Mahring, M., & Keil, M. (2008). Information technology project escalation: A process model. Decision Sciences, 39(2), 239–272. doi:10.1111/j.1540-5915.2008.00191.x
   Web of Science ®Google Scholar
• Maltz, E. (2000). Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Product Innovation Management, 17, 110–127. doi:10.1016/S0737-6782(99)00030-2
   Web of Science ®Google Scholar
• Marshall, A., Ojiako, U., Wang, V., Lin, F., & Chipulu, M. (2018). Forecasting unknown/unknowns by boosting the risk radar within the risk intelligent organisation. International Journal of Forecasting. doi:10.1016/j.ijforecast.2018.07.015
   Web of Science ®Google Scholar
• Meyer, J.-A. (1997). The acceptance of visual information in management. Information & Management, 32(6), 275–287. doi:10.1016/S0378-7206(97)00032-3
   Web of Science ®Google Scholar
• Ministry of Economy. (2018). Annual economic report 2018 (26th ed.). Abu Dhabi, United Arab Emirates: Department of Economic Studies. Retrieved from https://www.economy.gov.ae/EconomicalReportsEn/Annual%20Economic%20Report%202018.pdf
   Google Scholar
• Mirza, E., & Ehsan, N. (2017). Quantification of project execution complexity and its effect on performance of infrastructure development projects. Engineering Management Journal, 29(2), 108–123. doi:10.1080/10429247.2017.1309632
   Web of Science ®Google Scholar
• Mishra, N., Singh, A., Rana, N., & Dwivedi, Y. (2017). Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: Application of a big data technique. Production Planning & Control, 28, 945–963. doi:10.1080/09537287.2017.1336789
   Web of Science ®Google Scholar
• Moreno, J. (1960). The Sociometry Reader. Glencoe, IL: The Free Press.
   Google Scholar
• Motaleb, O., & Kishk, M. (2010). An investigation into causes and effects of construction delays in the UAE. Paper presented at 26th Annual ARCOM Conference, Leeds, UK.
   Google Scholar
• Mpofu, B., Ochieng, E., Moobela, C., & Pretorius, A. (2017). Profiling causative factors leading to construction project delays in the United Arab Emirates. Engineering, Construction and Architectural Management, 24(2), 346–376. doi:10.1108/ECAM-05-2015-0072
   Web of Science ®Google Scholar
• Nyoni, T., & Bonga, W. (2017). Towards factors affecting delays in construction projects: A case of Zimbabwe. Journal of Economics and Finance, 2(1), 12–28.
   Google Scholar
• Ojiako, U., Chipulu, M., Marshall, A., & Williams, T. (2018). An examination of the ‘rule of law’ and ‘justice’ implications in online dispute resolution in construction projects. International Journal of Project Management, 36(2), 301–316. doi:10.1016/j.ijproman.2017.10.002
   Web of Science ®Google Scholar
• Padroth, C., Davis, P., & Morrissey, M. (2017). Contract information asymmetry: Legal disconnect within the project team. ASCE Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 9(3), 04517015.
   Google Scholar
• Parraguez, P., Eppinger, S., & Maier, A. (2015). Information flow through stages of complex engineering design projects: A dynamic network analysis approach. IEEE Transactions on Engineering Management, 62(4), 604–617. doi:10.1109/TEM.2015.2469680
   Web of Science ®Google Scholar
• Parvan, K., Rahmandad, H., & Haghani, A. (2015). Inter-phase feedbacks in construction projects. Journal of Operations Management, 39, 48–62. doi:10.1016/j.jom.2015.07.005
   Web of Science ®Google Scholar
• Pedrycz, W. (1994). Why triangular membership functions? Fuzzy Sets and Systems, 64, 21–30. doi:10.1016/0165-0114(94)90003-5
   Web of Science ®Google Scholar
• Pehlivan, S., & Öztemir, A. E. (2018). Integrated risk of progress-based costs and schedule delays in construction projects. Engineering Management Journal, 30(2), 108–116. doi:10.1080/10429247.2018.1439636
   Web of Science ®Google Scholar
• Pryke, S., Badi, S., Almadhoob, H., Soundararaj, B., & Addyman, S. (2018). Self-organizing networks in complex infrastructure projects. Project Management Journal, 49(2), 18–41. doi:10.1177/875697281804900202
   Web of Science ®Google Scholar
• Ren, Z., Atout, M., & Jones, J. (2008). Root causes of construction project delays in Dubai, in A. Dainty (Ed.), Proceedings of the 24th Annual ARCOM Conference, Association of Researchers in Construction Management, Cardiff, 749–757.
   Google Scholar
• Ruqaishi, M., & Bashir, A. H. (2015). Causes of delay in construction projects in the oil and gas industry in the Gulf Cooperation Council countries. Journal of Management in Engineering, 31, 1943–5479. doi:10.1061/(ASCE)ME.1943-5479.0000248
   Web of Science ®Google Scholar
• Salama, M., Abd El Hamid, M., & Keogh, B. (2008, September). Investigating the causes of delay within oil and gas projects in the UAE. Paper presented at 24th Annual ARCOM Conference, Cardiff, UK.
   Google Scholar
• Sambasivan, M., & Soon, Y. (2007). Causes and effects of delays in Malaysian construction industry. International Journal of Project Management, 25, 517–526. doi:10.1016/j.ijproman.2006.11.007
   Google Scholar
• Sekar, G., Viswanathan, K., & Sambasivan, M. (2018). Effects of project-related and organizational-related factors on five dimensions of project performance: A study across the construction sectors in Malaysia. Engineering Management Journal, 30, 247–261. doi:10.1080/10429247.2018.1485000
   Web of Science ®Google Scholar
• Senesi, C., Javernick, A., & Molenaar, K. R. (2015). Benefits and barriers to applying probabilistic risk analysis on engineering and construction projects. Engineering Management Journal, 27(2), 49–57. doi:10.1080/10429247.2015.1035965
   Web of Science ®Google Scholar
• Tichy, N., Tushman, M. L., & Fombrun, C. (1979). Social network analysis for organizations. The Academy of Management Review, 4, 507–519. doi:10.5465/amr.1979.4498309
   Google Scholar
• Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. New York, NY: Cambridge University Press.
   Google Scholar
• Yang, J.-B., & Ou, S.-F. (2008). Using structural equation modeling to analyze relationships among key causes of delay in construction. Canadian Journal of Civil Engineering, 35(4), 321–332. doi:10.1139/L07-101
   Web of Science ®Google Scholar
• Zadeh, L. (1965). Fuzzy sets. Information and Control, 3, 338–358. doi:10.1016/S0019-9958(65)90241-X
   Google Scholar
• Zadeh, L. (1976). Fuzzy-algorithmic approach to the definition of complex or imprecise concepts. International Journal of Man-machine Studies, 8, 249–291. doi:10.1016/S0020-7373(76)80001-6
   Google Scholar
• Zaneldin, E. (2006). Construction claims in United Arab Emirates: Types, causes, and frequency. International Journal of Project Management, 24(5), 453–459. doi:10.1016/j.ijproman.2006.02.006
   Google Scholar
• Zarei, B., Sharifi, H., & Chaghouee, Y. (2018). Delay causes analysis in complex construction projects: A semantic network analysis approach. Production Planning and Control, 29(1), 29–40. doi:10.1080/09537287.2017.1376257
   Web of Science ®Google Scholar
• Zidane, Y., & Andersen, B. (2018). The top 10 universal delay factors in construction projects. International Journal of Managing Projects in Business, 11(3), 650–672. doi:10.1108/IJMPB-05-2017-0052
   Web of Science ®Google Scholar