REFERENCES
  1. Hampson K, Kraatz JA, Sanchez AX. The global construction industry and R&D. In R&D Investment and Impact in the Global Construction Industry.2014: 42-61. Routledge.
  2. Alaloul WS, Liew MS, Zawawi NAWA, Mohammed BS. Industry revolution IR 4.0: future opportunities and challenges in construction industry. In MATEC Web of Conferences, 2018;203: 02010).EDP Sciences.
  3. Wisskirchen G, Biacabe BT, Bormann U, Muntz A, Niehaus G, Soler GJ, von Brauchitsch B. Artificial intelligence and robotics and their impact on the workplace. IBA Global Employment Institute , 2017:2012-2017.
  4. Wisskirchen G, Biacabe B T, Bormann U, Muntz A, Niehaus G, Soler GJ, von Wang WC, Weng SW, Wang SH, Chen CY. Integrating building information models with construction process simulations for project scheduling support. Automation in Construction , 2014, 37: 68-80.
  5. Russell SJ, Norvig P. Artificial Intelligence: A Modern Approach . New Jersey: Prentice Hall, 2003.
  6. Ilter D, Dikbas A. A review of the artificial intelligence applications in construction dispute resolution. Managing IT in Construction/Managing Construction for Tomorrow , 2009:449 -455.
  7. Cheung SO, Tam CM, Harris FC. Project dispute resolution satisfaction classification through neural network. Journal of Management in Engineering , 2000;16 (1):70-79
  8. Bellucci E, Lodder AR, Zeleznikow J. Integrating artificial intelligence, argumentation and game theory to develop an online dispute resolution environment. In 16th IEEE International Conference on Tools with Artificial Intelligence, 2004: 749-754.
  9. Zavadskas EK. Automation and robotics in construction: International research and achievements. Automation in Construction , 2010;19 (3):286-290.
  10. Casares AP. The brain of the future and the viability of democratic governance: The role of artificial intelligence, cognitive machines, and viable systems. Futures , 2018; 103: 5-16.
  11. Elattar SMS. Automation and robotics in construction: opportunities and challenges. Emirates Journal for Engineering Research, 2008;13(2):21-26.
  12. Pachon AG. Construction Site Automation: guidelines for analyzing its feasibility, benefits and drawbacks. Advanced Construction and Building Technology for Society, 2012:38-42
  13. Zhang X, Bakis N, Lukins TC, Ibrahim YM, Wu S, Kagioglou M, Aouad G, Kaka AP, Trucco E. Automating progress measurement of construction projects. Automation in Construction , 2009; 18 (3):294-301.
  14. Mahdjoubi L, Yang JL. An intelligent materials routing system on complex construction sites. Logistics Information Management, 2001: 227-236.
  15. Nehdi ML, Bassuoni MT. Fuzzy logic approach for estimating durability of concrete. Proceedings of the Institution of Civil Engineers-Construction Materials, 2009; 162(2):81-92.
  16. Lu P, Chen S, Zheng Y. Artificial intelligence in civil engineering. Mathematical Problems in Engineering2012: 1-22
  17. Raji IO. 3D Printing Technology-Applications, benefits and areas of opportunity in Nigeria. International Journal of Advanced Academic Research| Sciences, Technology & Engineering , 2017; 3: 21-30.
  18. Sakin M, Kiroglu YC. 3D Printing of Buildings: Construction of the sustainable houses of the Future by BIM. Energy Procedia , 2017;134: 702-711.
  19. Buchanan C, Gardner L. Metal. 3D printing in construction: A review of methods, research, applications, opportunities and challenges. Engineering Structures , 2019;180: 332-348.
  20. Cheung WF, Lin TH, Lin YC. A real-time construction safety monitoring system for hazardous gas integrating wireless sensor network and building information modeling technologies. Sensors , 2018;18 (2):436-448.
  21. Grehl S, Mischo H, Jung B. Research perspective-mobile robots in underground mining. AusIMM Bulletin , (Feb 2017):44-53.
  22. Popov V, Juocevicius V, Migilinskas D, Ustinovichius L, Mikalauskas S. The use of a virtual building design and construction model for developing an effective project concept in 5D environment.Automation in Construction , 2010; 19(3):357-367.
  23. Piroozfar A, Farr ER, Essa A, Boseley S, Jin R. Augmented Reality (AR) and Virtual Reality (VR) in construction industry: An experiential development workflow, 2018:1-9.
  24. Schabowicz K, Hoła B. Application of artificial neural networks in predicting earthmoving machinery effectiveness ratios. Archives of Civil and Mechanical Engineering , 2008; 8 (4):73-84
  25. Masera G, Muscogiuri M, Bongiovanni A, Colombo M. Towards a new digital craft. Potential and limitations of 3D printing in architecture and construction. ISTeA. Re-shaping the construction industry. Maggioli Editore , 2017:83-92.
  26. Kurwi S. Integrating BIM and GIS for design collaboration in railway projects  (Doctoral dissertation, Loughborough University, 2019).
  27. Sattineni A, Bradford RH. Estimating with BIM: A survey of US construction companies. Proceedings of the 28th ISARC, Seoul, Korea, 2011:564-569.
  28. Wang WC, Weng SW, Wang SH, Chen CY. Integrating building information models with construction process simulations for project scheduling support. Automation in Construction, 2014; 37:68-80.
  29. Wang X, Truijens M, Hou L, Wang Y, Zhou Y. Integrating Augmented Reality with Building Information Modeling: Onsite construction process controlling for liquefied natural gas industry. Automation in Construction, 2014; 40: 96-105.
  30. Osunsanmi T, Aigbavboa C, Oke A. Construction 4.0: the future of the construction industry in South Africa. World Academy of Science, Engineering and Technology, International Journal of Civil and Environmental Engineering , 2018;12 (3):206-212.
  31. Ogwueleka AC, Ikediashi DI. The future of BIM technologies in Africa: prospects and challenges. Integrated Building Information Modelling, 2017.
  32. Onungwa IO, Uduma-Olugu N. Building information modelling and collaboration in the Nigerian construction industry. Journal of Construction Business and Management, 2017; 1(2): 1-10.
  33. Roger B. Turning point for the construction industry: the disruptive impact of building information modeling (BIM), 2017.
  34. Hosseini MR, Azari E, Tivendale L, Chileshe N. Barriers to adoption of building information modeling (BIM) in Iran: Preliminary results. In The 6th International Conference on Engineering, Project and Production Management (EPPM2015), Gold Coast, Australia.
  35. McCuen T. BIM adoption within Australian small and medium-sized enterprises (SMEs): an innovation diffusion model. Construction Economics and Building, 2016;16(3):71-86.
  36. Goedert JD, Meadati P. Integrating construction process documentation into building information modeling. Journal of Construction Engineering and Management , 2008; 134(7):509-516.
  37. Ding L. Zhou Y, Akinci B. Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD.Automation in Construction , 2014;46:82-93.
  38. Azhar S. Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering, 2011;11(3): 241-250.
  39. Ayinla KO, Zulfikar A. Bridging the digital divide gap in BIM technology adoption. Engineering, Construction and Architectural Management, 2018;1-31, DOI: 10.1108/ECAM-05-2017-0091
  40. Hartmann T, Van Meerveld H, Vossebeld N, Adriaanse A. Aligning building information model tools and construction management methods. Automation in Construction, 2012; 22: 605-613.
  41. McGuire B, Atadero R, Clevenger C, Ozbek M. Bridge information modeling for inspection and evaluation. Journal of Bridge Engineering, 2016;21(4): 04015076.
  42. Kassem M, Brogden T, Dawood N. BIM and 4D planning: a holistic study of the and drivers to widespread adoption. Journal of Construction Engineering and Project Management , 2012; 2(4): 1-10.
  43. Tan K. The framework of combining artificial intelligence and construction 3D printing in civil engineering. In MATEC Web of Conferences (2018; 206:01008). EDP Sciences.
  44. Imoudu EW, Godwin AU, Nita AK. Preliminary building information modeling adoption model in Malaysia: A strategic information technology perspective. Construction Innovation , 2014;14(4): 408-432.
  45. Amuda-Yusuf G. Critical success factors for building information modeling implementation. Construction Economics and Building, 2018;18(3):55-61.
  46. Abaza H, Smith J. Case study based BIM, course delivery for construction management students, Proceedings of BIM, 2018, Las Vegas.
  47. Soini K, Dessein J.Culture-sustainability relation: Towards a conceptual framework. Sustainability , 2016;8(2):167-178.
  48. Nas P M, Talal HP, Claessen H M, Handler R, Kurin R, Olwig K, Sears L, Nas PM. Masterpieces of oral and intangible culture: Reflections on the UNESCO World Heritage List. Current Anthropology , 2002;43(1):139-148.
  49. Duygulu E, Özeren E. The effects of leadership styles and organizational culture on firm’s innovativeness. African Journal of Business Management , 2009;3 (9):475-482.
  50. Ahmed M, Shafiq S. The impact of organizational culture on organizational performance: A case study on telecom sector.Global Journal of Management And Business Research. 2014:22-33.
  51. Schein EH. Organisational culture and leadership. 3rd ed. San Francisco: Jossey- Bass, Wiley Imprint
  52. Feldman MS, Orlikowski WJ. Theorizing practice and practicing theory. Organization Science , 2011;22 (5):1240-1253.
  53. Schein EH. The corporate culture survival guide: Sense and nonsense about culture.San Francisco, CA: Jossey-Bass, 2009.
  54. Liu AM, Shuibo Z, Meiyung L. A framework for assessing organisational culture of Chinese construction enterprises. Engineering, Construction and Architectural Management , 2006:1-12.
  55. Ankrah NA. An investigation into the impact of culture on construction project performance. (Doctoral dissertation, University of Wolverhampton, UK).
  56. Abiola-Falemu JO. Organisational culture, job satisfaction and commitment of Lagos-based construction workers, Journal of Business and Management , 2013;13 (6): 108-120.
  57. Zeebaree MRY, Siron RB. The impact of entrepreneurial orientation on competitive advantage moderated by financing support in SMEs. International Review of Management and Marketing , 2017;7 (1):43-52.
  58. Cheung S O, Wong PSP Lam AL. An investigation of the relationship between organisational culture and the performance of construction organisations.Journal of Business Economics and Managemen t, 2012;13 (4):688-704.
  59. Bamgbade JA, Kamaruddeen AM, Nawi MNM. Malaysian construction firms’ social sustainability via organizational innovativeness and government support: The mediating role of market culture. Journal of Cleaner Production , 2007;154: 114-124.
  60. Bello WA, Soyingbe A A, Akinwamide, B. An assessment of the implementation of quality culture in construction RICS COBRA, 2012 September, Las Vegas, Nevada USA.
  61. Yilmaz C, Ergun E. Organisational culture and firm effectiveness: An examination of relative effects of culture traits and the balanced culture hypothesis in an emerging economy. Journal of World Business, 2008;43: 290-306.
  62. Cabrera A, Cabrera EF, Barajas S. The key role of organisational culture in a multi-system view of technology-driven change.International Journal of Information Management , 2001;21: 245-261.
  63. Oyewobi LO, Windapo AO, Cattell KS Rotimi JOB. The effects of business environments on corporate strategies and performance of construction organisations, 2013:1-11.
  64. Rauch A, Wiklund J, Lumpkin JT, Frese M. Entrepreneurial orientation and business performance: an assessment of past research and suggestions for the future. Entrepreneurship Theory and Practice , 2009; 33(3):761-787.
  65. Petrini M, Pozzebon M. Integrating sustainability into business practices: learning from Brazilian firms. BAR-BrazilianAdministration Review . 2010 Dec;7(4):362-78.
  66. Eshima Y, Anderson BS. Firm growth, adaptive capability and entrepreneurial orientation. Strategic Management Journal , 2017; 38(3):770-779.
  67. Suliman LK, Omran A. Sustainable development and construction industry in Malaysia. Manager (University of Bucharest, Faculty of Business & Administration). 2009 Dec 1(10).
  68. Dang CN, Le-Hoai L, Peansupap V. Linking knowledge enabling factors to organizational performance: Empirical study of project-based firms.International Journal of Construction Management . 2019 Jul 5:1-4.
  69. Tavakol M, Dennick R. Making sense of Cronbach’s alpha.International Journal of Medical Education . 2011; 2:53.
  70. Samuels P. Advice on exploratory factor analysis, 2017.
  71. Zulfikar A, Emmitt S, Soetanto R. Social BIM: Co-creation with shared situational awareness. Journal of Information Technology inConstruction (ITcon), 2015; 20(16): 230-252.