Redefining ICT embeddedness in the construction industry: maximizing technology diffusion capabilities to support agility

References

• Ahuja, M. K., & Thatcher, J. B. (2005). Moving beyond intentions and toward the theory of trying: Effects of work environment and gender on post-adoption information technology use. MIS Quarterly, 29(3), 427–459. doi: 10.2307/25148691
   Web of Science ®Google Scholar
• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: From cognition to behavior (pp. 11–39). Berlin: Springer. ISBN: 978-3-642-69746-3.
   Google Scholar
• Akintoye, A., Goulding, J. S., & Zawdie, G. (2012). From construction innovation and process improvement. In A. Akintoye, J. S. Goulding, & G. Zawdie (Eds.), Construction innovation and process improvement (pp. 1–17). London: Wiley-Blackwell. ISBN: 978-1405156486.
   Google Scholar
• Albeladi, K. S., Khan, U. A., & Khan, P. (2014, March). Driving business value through an effective IT strategy development. Proceedings of the 2014 international conference on computing for sustainable global development (INDIACom) (pp. 561–563). New Delhi, India. doi: 10.1109/IndiaCom.2014.6828021
   Google Scholar
• Allen, R., & Toder, F. (2004). A model of organizational recovery. Journal of Emergency Management, 2(1), 41–45. doi: 10.5055/jem.2004.0010
   Google Scholar
• Amabile, T. M. (1983). The social psychology of creativity: A componential conceptualization. Journal of Personality and Social Psychology, 45(2), 357–376. doi: 10.1037/0022-3514.45.2.357
   Web of Science ®Google Scholar
• Ambrosini, V., & Bowman, C. (2009). What are dynamic capabilities and are they a useful construct in strategic management? International Journal of Management Reviews, 11(1), 29–49. doi: 10.1111/j.1468-2370.2008.00251.x
   Web of Science ®Google Scholar
• Amit, R., & Schoemaker, P. J. H. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33–46. doi: 10.1002/smj.4250140105
   Web of Science ®Google Scholar
• Arup. (2017). Future of project management. London: Author. Retrieved from https://www.arup.com/-/media/arup/files/publications/f/arup_future-of-project-management2.pdf
   Google Scholar
• Attygalle, L., von Hellens, L., & Potter, L. E. (2010). Information systems and intra-organisational power: Exploring power & political aspects associated with the adoption of a knowledge sharing system in an IT services department. Journal of Information, Information Technology, and Organizations, 5, 1–23. doi: 10.28945/1179
   Google Scholar
• Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice Hall. ISBN: 978-0138156145.
   Google Scholar
• Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. doi: 10.1177/014920639101700108
   Web of Science ®Google Scholar
• Barron, F., & Harrington, D. M. (1981). Creativity, intelligence, and personality. Annual Review of Psychology, 32(1), 439–476. doi: 10.1146/annurev.ps.32.020181.002255
   Web of Science ®Google Scholar
• Baskarada, S., & Koronios, A. (2018). The 5S organizational agility framework: A dynamic capabilities perspective. International Journal of Organizational Analysis, 26(2), 331–342. doi: 10.1108/IJOA-05-2017-1163
   Web of Science ®Google Scholar
• Beaudry, A., & Pinsonneault, A. (2005). Understanding user responses to information technology: A coping model of user adaptation. MIS Quarterly, 29(3), 493–524. doi: 10.2307/25148693
   Web of Science ®Google Scholar
• Bertalanffy, L. V. (1968). General system theory: Foundations, development, applications. New York, NY: George Braziller.
   Google Scholar
• Bhattacharya, M., Gibson, D. E., & Doty, D. H. (2005). The effects of flexibility in employee skills, employee behaviors, and human resource practices on firm performance. Journal of Management, 31(4), 622–640. doi: 10.1177/0149206304272347
   Web of Science ®Google Scholar
• Bin Zakaria, Z., Mohamed Ali, N., Tarmizi Haron, A., Marshall-Ponting, A., & Abd Hamid, Z. (2013). Exploring the adoption of building information modelling (BIM) in the Malaysian construction industry: A qualitative approach. International Journal of Research in Engineering and Technology, 02(8), 384–395. doi: 10.15623/ijret.2013.0208060
   Google Scholar
• Bowden, S., Dorr, A., Thorpe, T., & Anumba, C. (2006). Mobile ICT support for construction process improvement. Automation in Construction, 15(5), 664–676. doi: 10.1016/j.autcon.2005.08.004
   Web of Science ®Google Scholar
• Brisson-Banks, C. V. (2010). Managing change and transitions: A comparison of different models and their commonalities. Library Management, 31(4/5), 241–252. doi: 10.1108/01435121011046317
   Google Scholar
• Carmen de Pablos, H. (2009). ICT and the virtual organisation encyclopedia of information communication technology (pp. 365–370). Hershey, PA: IGI Global. doi: 10.4018/978-1-59904-845-1.ch048
   Google Scholar
• Chen, Y., Okudan, G. E., & Riley, D. R. (2010). Sustainable performance criteria for construction method selection in concrete buildings. Automation in construction, 19(2), 235–244. doi: 10.1016/j.autcon.2009.10.004
   Web of Science ®Google Scholar
• Chileshe, N., & Dzisi, E. (2012). Benefits and barriers of construction health and safety management (HSM) perceptions of practitioners within design organisations. Journal of Engineering, Design and Technology, 10(2), 276–298. doi: 10.1108/17260531211241220
   Google Scholar
• Collin, P. (2004). Dictionary of ICT: Information and communication technology. A&C Black. ISBN: 978-0747569909.
   Google Scholar
• Creswell, J. W. (2007). Qualitative inquiry and research design: Choosing among five approaches (2nd ed.). Thousand Oaks, CA: Sage. ISBN: 978-1412995306.
   Google Scholar
• Daim, T. U., Tarcan Tarman, R., & Basoglu, N. (2008, January). Exploring barriers to innovation diffusion in health care service organizations: An issue for effective integration of service architecture and information technologies. 41st Hawaii international international conference on systems science (HICSS-41 2008) (p. 100). Waikoloa, Big Island, HI: IEEE Computer Society 2008. doi: 10.1109/HICS.2008.159
   Google Scholar
• Dallasega, P., Rauch, E., & Linder, C. (2018). Industry 4.0 as an enabler of proximity for construction supply chains: A systematic literature review. Computers in Industry, 99, 205–225. doi: 10.1016/j.compind.2018.03.039
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340. doi: 10.2307/249008
   Web of Science ®Google Scholar
• Davis, K., & Songer, A. D. (2008). Resistance to IT change in the AEC industry: An individual assessment tool. ITcon, 13, 56–68. Retrieved from http://www.itcon.org/2008/4
   Google Scholar
• Davis, K. A., & Songer, A. D. (2009). Resistance to IT change in the AEC industry: Are the stereotypes true? Journal of Construction Engineering and Management, 135(12), 1324–1333. doi: 10.1061/(ASCE)CO.1943-7862.0000108
   Web of Science ®Google Scholar
• Del Aguila-Obra, A. R., & Padilla-Melendez, A. (2006). Organizational factors affecting internet technology adoption. Internet Research, 16(1), 94–110. doi: 10.1108/10662240610642569
   Web of Science ®Google Scholar
• de Oliveira, ÀD. (2016). The human smart cities manifesto: A global perspective. In G. Concilio & F. Rizzo (Eds.), Human smart cities (pp. 197–202). Berlin: Springer International. ISBN: 978-3-319-33024-2.
   Google Scholar
• Department for Business, Energy and Industrial Strategy. (2018). Industrial strategy: Construction sector deal. Retrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/731871/construction-sector-deal-print-single.pdf
   Google Scholar
• Dikmen, I., & Birgönül, M. T. (2003). Strategic perspective of Turkish construction companies. Journal of Management in Engineering, 19(1), 33–40. doi: 10.1061/(ASCE)0742-597X(2003)19:1(33)
   Web of Science ®Google Scholar
• Dove, R. (2001). Response ability: The language, structure, and culture of the agile enterprise. New York, NY: Wiley. ISBN: 978-0-471-35018-7.
   Google Scholar
• Dunlop-Hinkler, D., Parente, R., Marion, T. J., & Friar, J. H. (2011, June). The role of technology agility on business processes and organizational agilities. Proceedings of technology management conference (ITMC), 2011 (pp. 67–75). San Jose, CA, USA, IEEE International. doi: 10.1109ITMC.2011.5995930
   Google Scholar
• Durdyev, S., Omarov, M., & Ismail, S. (2017). Causes of delay in residential construction projects in Cambodia. Cogent Engineering, 4(1), 1291117. doi: 10.1080/23311916.2017.1291117
   Web of Science ®Google Scholar
• Easterby-Smith, M., Lyles, M. A., & Peteraf, M. A. (2009). Dynamic capabilities: Current debates and future directions. British Journal of Management, 20(s1), S1–S8. doi: 10.1111/j.1467-8551.2008.00609.x
   Web of Science ®Google Scholar
• Egan, S. J. (1998). Rethinking construction: The report of the construction task force. London: HMSO. ISBN: 978-1851120949 retrieved from Constructing Excellence http://constructingexcellence.org.uk/wp-content/uploads/2014/10/rethinking_construction_report.pdf
   Google Scholar
• Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10-11), 1105–1121. doi:10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E
   Web of Science ®Google Scholar
• Emmitt, S. (1997). The diffusion of innovations in the building industry (Unpublished PhD thesis). School of Architecture, University of Manchester. Retrieved from https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551097
   Google Scholar
• Emmitt, S. (2001). Observing the act of specification. Design Studies, 22(5), 397–408. doi: 10.1016/S0142-694X(00)00046-6
   Google Scholar
• ENR. (2019). The top 250 international contractors. Retrieved from https://www.enr.com/toplists/2019-Top-250-International-Contractors-1
   Google Scholar
• Ezcan, V., Goulding, J. S., Rahimian, F. P., & Kuruoglu, M. (2015). Avoiding stiffness: Perspectives of agile technology diffusion. Paper presented at the International Conference on Innovative Production and Construction (IPC 2015), Perth, Western Australia, Australia.
   Google Scholar
• Fairclough, J. (2002). Rethinking construction innovation and research-a review of the government’s R&D policies and practices. London: Department of Trade and Industry.
   Google Scholar
• Farmer, M. (2016). The farmer review of the UK construction labour model: Modernise or die. UK: Construction Leadership Council. Retrieved from http://www.constructionleadershipcouncil.co.uk/wp-content/uploads/2016/10/Farmer-Review.pdf
   Google Scholar
• Fayezi, S., Zutshi, A., & O’Loughlin, A. (2017). Understanding and development of supply chain agility and flexibility: A structured literature review. International Journal of Management Reviews, 19(4), 379–407. doi: 10.1111/ijmr.12096
   Web of Science ®Google Scholar
• Fellows, R. F., & Liu, A. M. M. (2015). Research methods for construction. Chichester: Wiley. ISBN 978-1-118-91574-5.
   Google Scholar
• Fichman, R. G. (1992). Information technology diffusion: A review of empirical research. Proceedings of ICIS 1992 (pp. 195–206). Retrieved from http://aisel.aisnet.org/icis1992/39
   Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley. ISBN: 978-0201020892.
   Google Scholar
• Fletcher, M., & Plakoyiannaki, E. (2010). Sampling. In A. Mills, G. Durepos, & E. Wiebe (Eds.), Encyclopedia of case study research (pp. 838–841). Thousand Oaks, CA: Sage. ISBN: 978-1412956703.
   Google Scholar
• Forum, W. E. (2016). Shaping the future of construction: A breakthrough in mindset and technology. Retrieved from http://www3.weforum.org/docs/WEF_Shaping_the_Future_of_Construction_full_report__.pdf
   Google Scholar
• Frambach, R. T., & Schillewaert, N. (2002). Organizational innovation adoption: A multi-level framework of determinants and opportunities for future research. Journal of Business Research, 55(2), 163–176. doi: 10.1016/S0148-2963(00)00152-1
   Web of Science ®Google Scholar
• Frese, M., & Zapf, D. (1994). Action as the core of work psychology: A German approach. In H. C. Triandis, M. D. Dunnette, & L. M. Hough (Eds.), Handbook of industrial and organizational psychology (pp. 271–340). Palo Alto, CA: Consulting Psychologists Press. ISBN: 0-89106-044-8.
   Google Scholar
• Froese, T. M. (2010). The impact of emerging information technology on project management for construction. Automation in Construction, 19(5), 531–538. doi: 10.1016/j.autcon.2009.11.004
   Web of Science ®Google Scholar
• Gallivan, M. J. (2001). Organizational adoption and assimilation of complex technological innovations: Development and application of a new framework. ACM Sigmis Database, 32(3), 51–85. doi: 10.1145/506724.506729
   Google Scholar
• Gambatese, J. A., & Hallowell, M. (2011). Factors that influence the development and diffusion of technical innovations in the construction industry. Construction Management and Economics, 29(5), 507–517. doi: 10.1080/01446193.2011.570355
   Google Scholar
• Gholamzadeh, D., & Jalali, S. (2013). Integrative approach in human resources strategy formulation (case study: MDN company). Procedia – Social and Behavioral Sciences, 75(0), 479–487. doi: 10.1016/j.sbspro.2013.04.052
   Google Scholar
• Goldman, S. L., Nagel, R. N., & Preiss, K. (1995). Agile competitors and virtual organizations: Strategies for enriching the customer. New York, NY: Van Nostrand Reinhold. ISBN: 978-0442019037.
   Google Scholar
• Goulding, J. S., & Alshawi, M. (2002). Generic and specific IT training: A process protocol model for construction. Journal of Construction Management and Economics, 20(6), 493–505. doi: 10.1080/01446190210151069
   Google Scholar
• Grant, R. M. (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review, 33(3), 114–135. doi: 10.2307/41166664
   Web of Science ®Google Scholar
• Gupta, B., Dasgupta, S., & Gupta, A. (2008). Adoption of ICT in a government organization in a developing country: An empirical study. The Journal of Strategic Information Systems, 17(2), 140–154. doi: 10.1016/j.jsis.2007.12.004
   Web of Science ®Google Scholar
• Hadidi, L., Assaf, S., & Alkhiami, A. (2017). A systematic approach for ERP implementation in the construction industry. Journal of Civil Engineering and Management, 23(5), 594–603. doi: 10.3846/13923730.2016.1215348
   Web of Science ®Google Scholar
• Hambrick, D. C., & Mason, P. A. (1984). Upper echelons: The organization as a reflection of its top managers. Academy of Management Review, 9(2), 193–206. doi: 10.2307/258434
   Web of Science ®Google Scholar
• Hameed, M. A., Counsell, S., & Swift, S. (2012a). A conceptual model for the process of IT innovation adoption in organizations. Journal of Engineering and Technology Management, 29(3), 358–390. doi: 10.1016/j.jengtecman.2012.03.007
   Web of Science ®Google Scholar
• Hameed, M. A., Counsell, S., & Swift, S. (2012b). A meta-analysis of relationships between organizational characteristics and IT innovation adoption in organizations. Information & Management, 49(5), 218–232. doi: 10.1016/j.im.2012.05.002
   Web of Science ®Google Scholar
• Hawking, S., & Mlodinow, L. (2010). The grand design. New York: Random House. ISBN: 978-0553819229.
   Google Scholar
• Headrick, D. (2015). 4D printing transforms product design. Research Technology Management, 58(2), 7. Retrieved from https://search.proquest.com/docview/1682661912?accountid=12251
   Web of Science ®Google Scholar
• Helfat, C. E., Finkelstein, S., Mitchell, W., Peteraf, M., Singh, H., Teece, D., & Winter, S. G. (2009). Dynamic capabilities: Understanding strategic change in organizations. New York: Wiley. ISBN: 978-1-405-13575-7.
   Google Scholar
• HM Government. (2013). Construction 2025. Industrial strategy: Government and industry in partnership. Retrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/210099/bis-13-955-construction-2025-industrial-strategy.pdf
   Google Scholar
• Holt, G. D., & Goulding, J. S. (2014). Conceptualisation of ambiguous-mixed-methods within building and construction research. Journal of Engineering, Design and Technology, 12(2), 244–262. doi: 10.1108/JEDT-02-2013-0020
   Google Scholar
• Holt, G. D., & Goulding, J. S. (2017). The essential ‘ological-triad’: Considerations for construction management research. Journal of Engineering, Design and Technology, 15(3), 286–304. doi: 10.1108/JEDT-03-2016-0019
   Web of Science ®Google Scholar
• Holweg, M. (2005). The three dimensions of responsiveness. International Journal of Operations & Production Management, 25(7), 603–622. doi: 10.1108/01443570510605063
   Web of Science ®Google Scholar
• Hooper, M. J., Steeple, D., & Winters, C. N. (2001). Costing customer value: An approach for the agile enterprise. International Journal of Operations & Production Management, 21(5/6), 630–644. doi: 10.1108/01443570110390372
   Web of Science ®Google Scholar
• Ilhan, B., Bock, T., Linner, T., Iturralde, K., Pan, W., & Hu, R. (2019). Innovative robotics and automation for offsite manufacturing. In J. S. Goulding & F. P. Rahimian (Eds.), Offsite production and manufacturing for innovative construction: People, process and technology (pp. 309–335). London: Routledge. ISBN: 978-1138550681.
   Google Scholar
• Infrastructure and Projects Authority (IPA). (2017). Transforming infrastructure performance. Retrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/664920/transforming_infrastructure_performance_web.pdf
   Google Scholar
• Işık, Z., Aladağ, H., Demirdöğen, G., & Aygün, Ç. (2018). Application of SWOT analysis in Turkish construction industry. Proceedings of the 21st international symposium on advancement of construction management and real estate (pp. 299–309). Singapore: Springer. ISBN: 978-9811061905
   Google Scholar
• Jasperson, J. S., Carte, T. A., Saunders, C. S., Butler, B. S., Croes, H. J. P., & Zheng, W. (2002). Review: Power and information technology research: A metatriangulation review. MIS Quarterly, 26(4), 397–459. doi: 10.2307/4132315
   Web of Science ®Google Scholar
• Jeyaraj, A., & Sabherwal, R. (2008). Adoption of information systems innovations by individuals: A study of processes involving contextual, adopter, and influencer actions. Information and Organization, 18(3), 205–234. doi: 10.1016/j.infoandorg.2008.04.001
   Web of Science ®Google Scholar
• Kamal, M. M. (2006). IT innovation adoption in the government sector: Identifying the critical success factors. Journal of Enterprise Information Management, 19(2), 192–222. doi: 10.1108/17410390610645085
   Google Scholar
• Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 183–213. doi: 10.2307/249751
   Web of Science ®Google Scholar
• Katz, E., Levin, M. L., & Hamilton, H. (1963). Traditions of research on the diffusion of innovation. American Sociological Review, 237–252. doi: 10.2307/2090611
   Web of Science ®Google Scholar
• Khosrowshahi, F., & Arayici, Y. (2012). Roadmap for implementation of BIM in the UK construction industry. Engineering, Construction and Architectural Management, 19(6), 610–635. doi: 10.1108/09699981211277531
   Google Scholar
• Koste, L. L., & Malhotra, M. K. (1999). A theoretical framework for analyzing the dimensions of manufacturing flexibility. Journal of Operations Management, 18(1), 75–93. doi: 10.1016/S0272-6963(99)00010-8
   Web of Science ®Google Scholar
• KPMG. (2019). Construction industry overview. Retrieved from https://assets.kpmg/content/dam/kpmg/tr/pdf/2018/01/sektorel-bakis-2018-insaat.pdf
   Google Scholar
• Kritchanchai, D., & MacCarthy, B. L. (1999). Responsiveness of the order fulfilment process. International Journal of Operations & Production Management, 19(8), 812–833. doi: 10.1108/01443579910274419
   Web of Science ®Google Scholar
• Lam, P. T. I., Wong, F. W. H., & Tse, K. T. C. (2010). Effectiveness of ICT for construction information exchange among multidisciplinary project teams. Journal of Computing in Civil Engineering, 24(4), 365–376. doi: 10.1061/(ASCE)CP.1943-5487.0000038
   Web of Science ®Google Scholar
• Latham, S. M. (1994). Constructing the team. HM Stationery Office. Retrieved from http://constructingexcellence.org.uk/wp-content/uploads/2014/10/Constructing-the-team-The-Latham-Report.pdf
   Google Scholar
• Lees, T., & Sexton, M. (2014). An evolutionary innovation perspective on the selection of low and zero-carbon technologies in new housing. Building Research & Information, 42(3), 276–287. doi: 10.1080/09613218.2013.819547
   Web of Science ®Google Scholar
• Li, X., Shen, G. Q., Wu, P., & Yue, T. (2019). Integrating building information modeling and prefabrication housing production. Automation in Construction, 100, 46–60. doi: 10.1016/j.autcon.2018.12.024
   Web of Science ®Google Scholar
• Lindgren, J., & Widén, K. (2018). Diffusing building information management – knowledge integration, mechanisms and knowledge development. Architectural Engineering and Design Management, 14(5), 347–362. doi: 10.1080/17452007.2017.1394260
   Web of Science ®Google Scholar
• Malik, O. R. (2013). Microfoundations of an organizational sensing capability: A literature review and a conceptual framework. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2291585
   Google Scholar
• Manley, K. (2008). Against the odds: Small firms in Australia successfully introducing new technology on construction projects. Research Policy, 37(10), 1751–1764. doi: 10.1016/j.respol.2008.07.013
   Web of Science ®Google Scholar
• Marshall, B., Cardon, P., Poddar, A., & Fontenot, R. (2013). Does sample size matter in qualitative research? A review of qualitative interviews in IS research. Journal of Computer Information Systems, 54(1), 11–22. doi: 10.1080/08874417.2013.11645667
   Web of Science ®Google Scholar
• Masrek, M. N., & Jusoff, K. (2009). The effect of information technology infrastructure flexibility on intranet effectiveness. Computer and Information Science, 2(2), 57–67. doi: 10.5539/cis.v2n2p57
   Google Scholar
• McKinsey. (2016). McKinsey on organisation: Agility and organization design, organization practice, McKinsey and Company. Retrieved from https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Organization/Our%20Insights/McKinsey%20on%20Organization/McKinsey%20on%20Organization%20Agility%20and%20organization%20design.ashx
   Google Scholar
• Miles, M. B., Huberman, A. M., & Saldaña, J. (2013). Qualitative data analysis: A methods sourcebook. Thousand Oaks, CA: Sage. ISBN: 978-1452257877.
   Google Scholar
• Miranda, L. V., Valdes, J. R., & Cortes, D. D. (2017). Solar bricks for lunar construction. Construction and Building Materials, 139, 241–246. doi: 10.1016/j.conbuildmat.2017.02.029
   Web of Science ®Google Scholar
• Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. doi: 10.1287/isre.2.3.192
   Web of Science ®Google Scholar
• Nagel, R. N. (1992). 21st century manufacturing enterprise strategy report. Bethlehem: Iacocca Institute, Lehigh University. ISBN: 978-0962486630.
   Google Scholar
• Narasipuram, M. M., Regev, G., Kumar, K., & Wegmann, A. (2008). Business process flexibility through the exploration of stimuli. International Journal of Business Process Integration and Management, 3(1), 36–46. doi: 10.1504/IJBPIM.2008.019346
   Google Scholar
• Ni, Y. (2007). The impact of information systems on business flexibility from the managerial perspective: multiple cases of enterprise systems enhancement and ongoing changes (PhD thesis). University of Warwick. Retrieved from http://wrap.warwick.ac.uk/2396/1/WRAP_THESIS_Ni_2007.pdf
   Google Scholar
• Okakpu, A., GhaffarianHoseini, A., Tookey, J., Haar, J., Ghaffarianhoseini, A., & Rehman, A. (2018). A proposed framework to investigate effective BIM adoption for refurbishment of building projects. Architectural Science Review, 61(6), 467–479. doi: 10.1080/00038628.2018.1522585
   Web of Science ®Google Scholar
• Ozorhon, B., & Demirkesen, S. (2014). International competitiveness of the Turkish contractors. 11th international congress on advances in civil engineering. Retrieved from: https://www.researchgate.net/publication/267332838_International_Competitiveness_of_the_Turkish_Contractors
   Google Scholar
• Patterson, F. (1999). The innovation potential Indicator: Test manual and user’s guide. Oxford: Oxford Psychologists Press.
   Google Scholar
• Peansupap, V., & Walker, D. (2005a). Factors affecting ICT diffusion. Engineering, Construction and Architectural Management, 12(1), 21–37. doi: 10.1108/09699980510576871
   Google Scholar
• Peansupap, V., & Walker, D. (2005b). Factors enabling information and communication technology diffusion and actual implementation in construction organisations. Electronic Journal of Information Technology in Construction, 10, 193–218. Retrieved from http://www.itcon.org/2005/14
   Google Scholar
• Porter, M. E. (1980). Competitive strategy: Techniques for analyzing industries and competitors. New York: Free Press. ISBN: 978-1416590354.
   Google Scholar
• Rogers, E. M. (2010). Diffusion of innovations. New York, NY: Simon and Schuster. ISBN: 978-1451602470.
   Google Scholar
• Rumelt, R. P. (1995). Inertia and transformation. In C. Montgomery (Ed.), Resource-based and evolutionary theories of the firm: Towards a synthesis (pp. 101–132). Boston: Springer. ISBN: 978-1-4613-5923-4.
   Google Scholar
• Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. doi: 10.1037/0003-066X.55.1.68
   PubMed Web of Science ®Google Scholar
• Sahin, I. (2006). Detailed review of Rogers’ diffusion of innovations theory and educational technology-related studies based on Rogers’ theory. The Turkish Online Journal of Educational Technology, 5(2), 14–23. Retrieved from https://files.eric.ed.gov/fulltext/EJ1102473.pdf
   Google Scholar
• Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quarterly, 237–263. doi: 10.2307/30036530
   Web of Science ®Google Scholar
• Sepasgozar, S. M., & Bernold, L. E. (2012, November). Factors influencing the decision of technology adoption in construction. Proceedings of the ICSDEC 2012@ sDeveloping the frontier of sustainable design, engineering, and construction (pp. 654–661). Fort Worth, TX: ASCE. ISBN: 9780784412688.
   Google Scholar
• Shahsavand, P., Marefat, A., & Parchamijalal, M. (2018). Causes of delays in construction industry and comparative delay analysis techniques with SCL protocol. Engineering, Construction and Architectural Management, 25(4), 497–533. doi: 10.1108/ECAM-10-2016-0220
   Web of Science ®Google Scholar
• Sharifi, H., & Zhang, Z. (1999). A methodology for achieving agility in manufacturing organisations: An introduction. International Journal of Production Economics, 62(1), 7–22. doi: 10.1016/S0925-5273(98)00217-5
   Web of Science ®Google Scholar
• Sheffer, D. A., & Levitt, R. E. (2010). How industry structure retards diffusion of innovations in construction: challenges and opportunities. Collaboratory for Research on Global Projects Working Paper, 59. Retrieved from https://gpc.stanford.edu/sites/g/files/sbiybj8226/f/wp059_0.pdf
   Google Scholar
• Sherehiy, B., Karwowski, W., & Layer, J. K. (2007). A review of enterprise agility: Concepts, frameworks, and attributes. International Journal of Industrial Ergonomics, 37(5), 445–460. doi: 10.1016/j.ergon.2007.01.007
   Web of Science ®Google Scholar
• Shibeika, A., & Harty, C. (2015). Diffusion of digital innovation in construction: A case study of a UK engineering firm. Construction Management and Economics, 33(5–6), 453–466. doi: 10.1080/01446193.2015.1077982
   Web of Science ®Google Scholar
• Skobelev, P., & Borovik, S. Y. (2017). On the way from industry 4.0 to industry 5.0: From digital manufacturing to digital society. International Scientific Journal Industry 4.0, 2(6), 307–311. Retrieved from https://stumejournals.com/journals/i4/2017/6/307/pdf
   Google Scholar
• Slaughter, E. S. (2000). Implementation of construction innovations. Building Research & Information, 28(1), 2–17. doi: 10.1080/096132100369055
   Web of Science ®Google Scholar
• Smiley, J.-P., Fernie, S., & Dainty, A. (2014). Understanding construction reform discourses. Construction Management and Economics, 32(7-8), 804–815. doi: 10.1080/01446193.2014.909049
   Google Scholar
• Stuart, R. (1996). The trauma of organizational change. Journal of European Industrial Training, 20(2), 11–16. doi: 10.1108/03090599610110420
   Google Scholar
• Succar, B. (2009). Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction, 18(3), 357–375. doi: 10.1016/j.autcon.2008.10.003
   Web of Science ®Google Scholar
• Tabak, F., & Barr, S. H. (1999). Propensity to adopt technological innovations: The impact of personal characteristics and organizational context. Journal of Engineering and Technology Management, 16(3), 247–270. doi: 10.1016/S0923-4748(99)00011-9
   Web of Science ®Google Scholar
• Talke, K., & Hultink, E. J. (2010). Managing diffusion barriers when launching new products. Journal of Product Innovation Management, 27(4), 537–553. doi: 10.1111/j.1540-5885.2010.00734.x
   Web of Science ®Google Scholar
• Talukder, M. (2012). Factors affecting the adoption of technological innovation by individual employees: An Australian study. Procedia –- Social and Behavioral Sciences, 40, 52–57. doi: 10.1016/j.sbspro.2012.03.160
   Google Scholar
• TCA. (2019). International contracting services report. Retrieved from https://www.tmb.org.tr/doc/file/YDMH_Subat_2019.pdf
   Google Scholar
• Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18, 509–533. doi:10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
   Web of Science ®Google Scholar
• Teo, T. S. H., Ranganathan, C., & Dhaliwal, J. (2006). Key dimensions of inhibitors for the deployment of web-based business-to-business electronic commerce. IEEE Transactions on Engineering Management, 53(3), 395–411. doi: 10.1109/TEM.2006.878106
   Web of Science ®Google Scholar
• Valente, T. W., & Rogers, E. M. (1995). The origins and development of the diffusion of innovations paradigm as an example of scientific growth. Science Communication, 16(3), 242–273. doi: 10.1177/1075547095016003002
   PubMedGoogle Scholar
• Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. doi: 10.1287/isre.11.4.342.11872
   Web of Science ®Google Scholar
• Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. doi: 10.1111/j.1540-5915.2008.00192.x
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. doi: 10.1287/mnsc.46.2.186.11926
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425–478. doi: 10.2307/30036540
   Web of Science ®Google Scholar
• Verdegem, P., & De Marez, L. (2011). Rethinking determinants of ICT acceptance: Towards an integrated and comprehensive overview. Technovation, 31(8), 411–423. doi: 10.1016/j.technovation.2011.02.004
   Web of Science ®Google Scholar
• Wang, R., Fu, Z., & Duan, Y. (2011). Understanding ICTs adoption from an evolutionary process perspective. 2011 international conference on management and service science (MASS), Wuhan, China.
   Google Scholar
• Ward, J., & Peppard, J., (2002). Strategic planning for information systems (3rd ed.). Chichester: Wiley. ISBN 978–0470841471.
   Google Scholar
• Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180. doi: 10.1002/smj.4250050207
   Web of Science ®Google Scholar
• White, C. (2004). Strategic management. New York, NY: Palgrave Macmillan. ISBN: 978-1403904003.
   Google Scholar
• Winter, S. G. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24(10), 991–995. doi: 10.1002/smj.318
   Web of Science ®Google Scholar
• Wolstenholme, A. (2009). Never waste a good crisis : A review of progress since rethinking construction and thoughts for our future. Constructing Excellence. http://constructingexcellence.org.uk/wp-content/uploads/2014/10/Wolstenholme_Report_Oct_2009.pdf
   Google Scholar
• Yamamura, S., Fan, L., & Suzuki, Y. (2017). Assessment of urban energy performance through integration of BIM and GIS for smart city planning. Procedia Engineering, 180, 1462–1472. doi: 10.1016/j.proeng.2017.04.309
   Google Scholar
• Yin, R. K. (2013). Case study research: Design and methods (5th ed.). Thousand Oaks, CA: Sage. ISBN: 978-1483322247.
   Google Scholar
• Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007). Technology acceptance: A meta-analysis of the TAM: Part 1. Journal of Modelling in Management, 2(3), 251–280. doi: 10.1108/17465660710834453
   Google Scholar
• Yusuf, Y. Y., Sarhadi, M., & Gunasekaran, A. (1999). Agile manufacturing: The drivers, concepts and attributes. International Journal of Production Economics, 62(1), 33–43. doi: 10.1016/S0925-5273(98)00219-9
   Web of Science ®Google Scholar
• Zeng, D., Ouyang, T. H., Zhou, N., & Hu, J. (2015). The role of embeddedness in achieving IT-enabled organizational transformation: A case of Xi’an Aero-Engine PLC (XAEP), China. International Journal of Information Management, 35(5), 632–635. doi: 10.1016/j.ijinfomgt.2015.04.005
   Web of Science ®Google Scholar
• Zhang, Z., & Sharifi, H. (2000). A methodology for achieving agility in manufacturing organisations. International Journal of Operations & Production Management, 20(4), 496–513. doi: 10.1108/01443570010314818
   Web of Science ®Google Scholar