1. Baloi, D., & Price, A. D. (2003). Modelling global risk factors affecting construction cost performance.
2. International journal of project management, 21(4), 261–269. (Publisher: Elsevier) DOI: 10.1016/s0263-7863(02)00017-0
3. Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price, in a letter to John Canton, AMFR S. Philosophical transactions of the Royal Society of London(53), 370–418. https://royalsocietypublishing.org/doi/pdf/10.1098/rstl.1763.0053?fbclid=IwAR1J7hCd54nKa6d3ULOo2yMA1j7vVuUtS3qguqUUhHNcAqOb8rufrjZijog
4. Blackhall, K. (2007). Finding studies for inclusion in systematic reviews of interventions for injury prevention–the importance of grey and unpublished literature. Injury Prevention, 13(5), 359. DOI: 10.1136/ip.2007.017020
5. Brauers, W. K. M. (2018). Location theory and multi-criteria decision making: An application of the MOORA method. Contemporary Economics, 12(3). https://repository.uantwerpen.be/docman/irua/248cd8/154774.pdf DOI: 10.5709/ce.1897-9254.275
6. Broomfield, D., & Humphris, G. M. (2001). Using the Delphi technique to identify the cancer education requirements of general practitioners. Medical education, 35(10), 928–937. DOI: 10.1111/j.1365-2923.2001.01022.x
7. Brown, S. (1993). Retail location theory: evolution and evaluation. International Review of Retail, Distribution and Consumer Research, 3(2), 185–229. (Publisher: Taylor & Francis) DOI: 10.1080/09593969300000014
8. Campbell, S. M., Shield, T., Rogers, A., & Gask, L. (2004). How do stakeholder groups vary in a Delphi technique about primary mental health care, and what factors influence their ratings? BMJ Quality & Safety, 13(6), 428–434. DOI: 10.1136/qshc.2003.007815
9. Crisp, J., Pelletier, D., Duffield, C., Adams, A., & Nagy, S. U. E. (1997). The Delphi method? Nursing Research, 46(2), 116–118. DOI: 10.1097/00006199-199703000-00010
10. Daniels, R., & Mulley, C. (2012). Planning public transport networks—the neglected influence of topography. Journal of Public Transportation, 15(4), 23–41. (Publisher: Elsevier) DOI: 10.5038/2375-0901.15.4.2
11. Fazil, M. W., Lee, C. K., & Tamyez, P. F. M. (2021). Cost estimation performance in the construction projects: A systematic review and future directions. International Journal of Industrial Management, 11 DOI: 10.15282/ijim.11.1.2021.6131
12. Greenhalgh, T., Robert, G., Macfarlane, F., Bate, P., Kyriakidou, O., & Peacock, R. (2005). Storylines of research in diffusion of innovation: a meta-narrative approach to systematic review. Social science & medicine, 61(2), 417–430. DOI: 10.1016/j.socscimed.2004.12.001
13. Gunaydin, H. M., & Do¨ gan, S. Z. (2004). A neural network approach for early cost estimation of structuralˇ systems of buildings. International Journal of Project Management, 22(7), 595–602. DOI: 10.1016/j.ijproman.2004.04.002
14. Hashemi, S. T., Ebadati, O. M., & Kaur, H. (2020). Cost estimation and prediction in construction projects: a systematic review on machine learning techniques. (Issue: 10 Publication Title: SN Applied Sciences Volume: 2) DOI: 10.1007/s42452-020-03497-1
15. Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of advanced nursing, 32(4), 1008–1015. (Publisher: Wiley Online Library) DOI: 10.1046/j.1365-2648.2000.01567.x
16. Hsu, C.-C., & Sandford, B. A. (2007). The Delphi technique: making sense of consensus. Practical assessment, research, and evaluation, 12(1), 10. http://www.dator8.info/pdf/DELPHI/9.pdf
17. Kerin, R. A., & Harvey, M. (1975). Evaluation of retail store locations through profitability analysis. Journal of Small Business Management (pre-1986), 13(000001), 41. (Publisher: Taylor & Francis Ltd.) https://www.idosr.org/wp-content/uploads/2021/07/IDOSR-JAH-61-22-29-2021..pdf
18. Kheybari, S., Monfared, M. D., Farazmand, H., & Rezaei, J. (2020). Sustainable Location Selection of Data Centers: Developing a Multi-Criteria Set-Covering Decision-Making Methodology. International journal of information technology & decision making, 19(3). DOI: 10.1142/s0219622020500157
19. King, D., Wanigarathna, N., Jones, K., & Ofori-Kuragu, J. (2023). A Delphi Pilot Study to Assess the Impact of Location Factors for Hyperscale Data Centres. In G. Lindahl & S. C. Gottlieb (Eds.), SDGs in Construction Economics and Organization (pp. 153–164). Cham: Springer International Publishing. DOI: 10.1007/978-3-031-25498-7_11
20. Klimczak, K. (2010). Determinants of real estate investment. Economics and Sociology, 3(2), 58–66. https://www.economics-sociology.eu/files/07[7].pdf
21. Line, C. D. O. (2008). Richardson international construction factors manual. Pahrump, NV. https://www.worldcat.org/title/richardsons-international-construction-factors-location-cost-manual/oclc/37036718
22. Lowe, S. D., Kirchner, H., Carswell, G., Black, B., Computing, A., Green, J., & Davis, D. (2016). Building a Modern Data Center Principles and Strategies of Design. ActualTech Marketing, LLC. Retrieved https://books.google.co.uk/books?id=si2ljwEACAAJ
23. Mahood, Q., Eerd, D. V., & Irvin, E. (2014). Searching for grey literature for systematic reviews: challenges and benefits. Research synthesis methods, 5(3), 221–234. DOI: 10.1002/jrsm.1106
24. McAuley, L., Pham, B., Tugwell, P., & Moher, D. (2000). Does the inclusion of grey literature influence estimates of intervention effectiveness reported in meta-analyses? The Lancet, 356(9237), 1228–1231. DOI: 10.1016/s0140-6736(00)02786-0
25. McInnes, M. D., Moher, D., Thombs, B. D., McGrath, T. A., Bossuyt, P. M., Clifford, T., ... Hooft, L. (2018). Preferred reporting items for a systematic review and meta-analysis of diagnostic test accuracy studies: the PRISMA-DTA statement. Jama, 319(4), 388–396. (Publisher: American Medical Association) https://jamanetwork.com/journals/jama/article-abstract/2670259
26. Parameswaran, T., Jayawickrama, T. S., & Melagoda, D. G. (2019). Analysing the impact of location factors on building construction cost in Sri Lanka. In (Vol. 2019). http://ieomsociety.org/ieom2019/papers/622.pdf
27. Rashid, E. (2017). Construction cost prediction on the basis of multiple parameters using case-based reasoning method. International Journal of Services Technology and Management, 23(4), 255–261. DOI: 10.1504/ijstm.2017.088155
28. RICS. (2013). Cost analysis and benchmarking (Tech. Rep.). Royal Institution of Chartered Surveyors. https://www.isurv.com/downloads/download/1388/cost_analysis_and_benchmarking_%E2%80%93_uk_archived
29. RICS. (2018). BCIS Online. Retrieved 2023-04-09, from https://service.bcis.co.uk/BCISOnline/Account/LogOn?ReturnUrl=%2fBCISOnline%2f
30. Sharkey, S. B., & Sharples, A. Y. (2001). An approach to consensus building using the Delphi technique: developing a learning resource in mental health. Nurse education today, 21(5), 398–408. DOI: 10.1054/nedt.2001.0573
31. Son, H., Kim, C., & Kim, C. (2012). Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables. Automation in Construction, 27, 60–66. (Publisher: Elsevier) DOI: 10.1016/j.autcon.2012.05.013
32. Suarez-Almazor, M. E., Belseck, E., Homik, J., Dorgan, M., & Ramos-Remus, C. (2000). Identifying clinical trials in the medical literature with electronic databases: MEDLINE alone is not enough. Controlled clinical trials, 21(5), 476–487. DOI: 10.1016/S0197-2456(00)00067-2
33. Tricco, A. C., Lillie, E., Zarin, W., K, K. O., Colquhoun, H., Levac, D., ... Straus, S. E. (2018). PRISMA Extension for Scoping Reviews (PRISMA-ScR) : Checklist and Explanation. Annals of Internal Medicine Volume, 169(7), 467–473 DOI: 10.7326/M18-0850
34. Turoff, M., & Linstone, H. A. (2002). The Delphi method techniques and applications. DOI: 10.2307/1268751
35. F. Yang and L. X. Ye, "Method of Locating Data Center Based on Delphi," 2011 Second International Conference on Innovations in Bio-inspired Computing and Applications, Shenzhen, China, 2011, pp. 299-302. DOI: 10.1109/ibica.2011.79
36. Zhang, G. P. (2003). Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing, 50, 159–175. (Publisher: Elsevier) DOI: 10.1016/s0925-2312(01)00702-0

Informazioni sul capitolo

Informazioni bibliografiche