Exploitation of cloud computing in management of construction projects in Slovakia

Open access

Abstract

The issue of cloud computing is a highly topical issue. Cloud computing represents a new model for information technology (IT) services based on the exploitation of Web (it represents a cloud) and other application platforms, as well as software as a service. In general, the exploitation of cloud computing in construction project management has several advantages, as demonstrated by several research reports. Currently, research quantifying the exploitation of cloud computing in the Slovak construction industry has not yet been carried out. The article discusses the issue of exploitation of cloud computing in construction project management in Slovakia. The main objective of the research is to confirm whether factors such as size of construction enterprise, owner of construction enterprise and participant of construction project have any impact on the exploitation level of cloud computing in construction project management. It includes confirmation of differences in use between different participants of the construction project or between construction enterprises broken down by size and shareholders.

References

  • Bargas-Avila, J., Lotscher, J., Orsini, S., & Opwis, K. (2009). Intranet satisfaction questionnaire: Development and validation of a questionnaire to measure user satisfaction with the Intranet. Computer in Human Behaviour, 28, pp. 1241-1250.

  • Calero, J., Konig, B., & Kirschnick, J. (2012). Cross-Layer Monitoring in Cloud Computing. Rashvand, Using Cross-Layer Techniques for Communication Systems. Premier reference source. IGI Global, Hershey, PA, p. 329. ISBN 978-1-4666-0961-7.

  • Čarnicky, Š., & Mesaroš, P. (2009). Informačne systemy podnikov. Ekonom, Bratislava, p. 233. ISBN 978-80-225-2676.

  • Červeňak, D., Janič, P., & Tomkova, D. (2013). Harmonogram stavebnej vyroby v prostredi cloudu. Zbornik vedeckych prac: Oceňovanie a riadenie stavebnych projektov. Technicka univerzita v Košiciach, Košice.

  • Chii, L., & Liu-Yang, J. (2011). Use of information and communication technologies. Journal of Technologies and Computers, 13, pp. 56-64.

  • Chuang, T., Lee, B., & Wu, I. (2012). Applying cloud computing technology to BIM visualization and manipulation. Journal of Multidisciplinary Sciences, 4, pp. 144-149.

  • Corder, G. W., & Foreman, D. I. (2009). Nonparametric Statistics for Non-Statisticians. John Wiley & Sons, Hoboken, pp. 99-105. ISBN 9780470454619.

  • Fathi, M. (2012). Context-aware cloud computing for construction collaboration. Journal of Cloud Computing, 6, pp. 1-11.

  • Furht, B., & Escalante, A. (2010). Handbook of Cloud Computing. Springer Science Business Media, New York, NY. ISBN 978-1-4419-6524-0.

  • Hoffmann, C. (2001). Das Intranet: ein Medium der Mitarbeiter kommunikation. Vol. 9 of Medien und Markte. UVK, Konstanz.

  • Infoware. (2014). Hybridne využivanie IT a cloud computing: Hybridne riešenia v IT s využitim cloud computing. IT News.

  • Jiao, Y., Wang, Y., Zhang, S., Li, L., Yang, B., & Yuan, L. (2013). A cloud approach to unified lifecycle data management in architecture, engineering, construction and facilities management: Integrating BIMs and SNS. Advanced Engineering Informatics, 27, pp. 173-188.

  • Kovacic, I., Vasilescu, D., Filzmoser, M., Suppin, R. & Oberwinter, L. (2015). BIM in teaching - lessons learned from exploratory study. Organization, Technology & Management in Construction, 7(3), pp. 1358-1366, ISSN 1847-5450.

  • Kozlovská, M., Spišakova, M., & Mačková, D. (2015). Company size impact on construction management documents processing and using. Advances and Trends in Engineering Sciences and Technologies, pp. 299-304. ISBN 978-1-138-02907-1. CRC Press/Balkema, Leiden.

  • Kršák, B., Tobisová, A., & Sehnálková, M. (2011). Information technologies and their using during firm ́s financial health modelling. Transactions of the Universities of Košice, 4, pp. 35-40. ISSN 1335-2334.

  • Kruskal, W. H., & Wallis, W. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), pp. 583-621.

  • Kumar, B., & Cheng, P. (2012). Cloud computing and its implications for construction IT. Journal of ITEC, 7, pp. 1-7.

  • Lorio, F., & Snowdon, L. (2010). Leveraging cloud computing and high performance computing advances for next-generation architecture, urban design and construction projects. Journal of IT, 1, pp. 118-125.

  • Mačková, D., & Bašková, R. (2014). Models for initial construction time estimation. Oceňovanie a riadenie stavebnych projektov. Zbornik vedeckych prac. EuroScienta vzw, Brussels, pp. 101-107. ISBN 978-90-822990-1-4.

  • Markechová, D., Tirpáková, A., & Stehlíková, B. (2011). Zaklady štatistiky pre pedagogov. UKF, Nitra. ISBN 978-80-8094-899-3.

  • Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing (Technical report). National Institute of Standards and Technology: U.S. Department of Commerce. Special publication, pp. 800-145.

  • Quest Software. (2016). [Online]. Available at http://www.statsoft.com/Products/STATISTICA-Features/version-12.

  • Rclick. (2016). Formees platform - online form builder [Online]. Available at http://www.formees.com/en.

  • Xie, X., & Zhao, Y. (2013). Analysis on the risk of personal cloud computing based on the cloud industry chain. The Journal of China Universities of Posts and Telecommunications, 2, pp. 104-112.

Organization, Technology and Management in Construction: an International Journal

Co-published with University of Zagreb, Faculty of Civil Engineering

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