Weitere Kapitel dieses Buchs durch Wischen aufrufen
It has been previously emphasized that mega infrastructure construction management involves many fields, including politics, the economy, society, technology, and human disciplines, and that no management that masters the overall complexity of the management problems can emerge without the integration of the natural sciences, social sciences, and human disciplines. This fact suggests that different types of methods are demanded for solving management problems in mega infrastructure construction. Thus, the exploration and introduction of new methods directed by theoretical methodology of mega infrastructure construction management are required. Accordingly, four points must be emphasized:
Regarding the management problems of mega infrastructure construction, there is a group of problems concerned with engineering technology and natural laws that can be solved by quantitative methods that are widely used in other fields. However, people may also create and implement new quantitative methods in mega infrastructure construction management, but these methods are usually regarded as improvements of existing mature methods rather than new methods. In other words, in the theoretical research of mega infrastructure construction management, there are few completely new and unique quantitative systems. Therefore, there is no need to provide a list of these mature quantitative methods.
There are many qualitative methods in the theoretical field of mega infrastructure construction that are identical to those used in social science research. However, because the management problems of mega infrastructure construction have unique properties, there must be a class of new methods other than the ordinary quantitative methods that demonstrate this feature. Hence, the panoramic qualitative analysis is introduced.
In recent years, the information and computer technology field gains increasingly more weight in the research of mega infrastructure construction management. For example, technologies such as computer simulations and computational experiments provide new means for the managerial activities to reconstruct and discover scenarios. In particular, it provides new methods to characterize and describe the complex wholeness of management problems, which cannot be achieved using the traditional quantitative and qualitative methods. Therefore, scenarios farming is selected as a new typical method to illustrate.
Models must be built that represent the entirety of the managerial activities in mega infrastructure construction. The models must be of various complexities, and they must conceptualize, to some degree, the active entity and refine the essential property of the active entity at a theoretical level. This is the process of mega infrastructure construction management modeling. Based on the integration of current advanced modeling thinking, especially that based on information technology, and on the reflection of the complex wholeness of mega infrastructure construction, the new method of federation modeling is introduced.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Azhar, S. (2011). Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering, 11(3), 241–252. CrossRef
Baccarini, D. (1996). The concept of project complexity – A review. International Journal of Project Management, 14(4), 201–204. CrossRef
Banuls, V. A., Turoff, M., & Hiltz, S. R. (2013). Collaborative scenario modeling in emergency management through cross-impact. Technological Forecasting and Social Change, 80(9), 1756–1774. CrossRef
Baškarada, S. (2014). Qualitative case study guidelines. The Qualitative Report, 19(40), 1–25.
Becerik-Gerber, B., Jazizadeh, F., Li, N., & Calis, G. (2011). Application areas and data requirements for BIM-enabled facilities management. Journal of Construction Engineering and Management, 138(3), 431–442.
Beltratti, A., Consiglio, A., & Zenios, S. A. (1999). Scenario modeling for the management of international bond portfolios. Annals of Operations Research, 85, 227–247. CrossRef
Bjørnholt, M., & Farstad, G. R. (2012). Am I rambling? On the advantages of interviewing couples together. Qualitative Research, 14(1), 3–19. CrossRef
Bosch-Rekveldt, M., Jongkind, Y., Mooi, H., Bakker, H., & Verbraeck, A. (2011a). Grasping project complexity in large engineering projects: The TOE (technical, organizational and environmental) framework. International Journal of Project Management, 29, 728–739. CrossRef
Bosch-Rekveldt, M., Jongkind, Y., Mooi, H., Bakker, H., & Verbraeck, A. (2011b). Grasping project complexity in large engineering projects: The TOE (Technical, Organizational and Environmental) framework. International Journal of Project Management, 29(6), 728–739.
Brockmann, C., & Girmscheid, G. (2008). The inherent complexity of large scale engineering projects. Project Perspective, 22–26. https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/69644/eth-800-01.pdf
Brown, T., Beyeler, W., & Barton, D. (2004). Assessing infrastructure interdependencies: The challenge of risk analysis for complex adaptive systems. International Journal of Critical Infrastructures, 1(1), 108–117. CrossRef
Cheng, X. (1996). Qualitative research method in social sciences in China. Social Sciences in China, 6, 94–106.
Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed method approaches. Thousand Oaks, CA: Sage Publications. [请核对次文献].
Dahmann, J. S., Fujimoto, R. M., & Weatherly, R. M. (1997, December). The department of defense high level architecture. In Proceedings of the 29th conference on Winter simulation (pp. 142–149). IEEE Computer Society.
Dahmann, J. S., Fujimoto, R. M., & Weatherly, R. M. (1998, December). The DoD high level architecture: an update. In Simulation Conference Proceedings (Vol. 1, pp. 797–804). IEEE.
Dai, Z. J., & Hou, C. Z. (2005). The development example of distributed interactive simulation system based on HLA. Systems Engineering-Theory & Practice, 1(1), 106–109. (Chinese).
Denzin, N. K., & Lincoln, Y. S. (2005). The sage handbook of qualitative research (3rd ed.). Thousand Oaks: Sage.
Ducot, C., & Lubben, H. J. (1980). A typology for scenarios. Futures, 12(1), 15–57.
Eastman, C. M. (1999). Building product models: Computer environments, supporting design and construction. Boca Raton: CRC Press.
Evans, J., Gideon, K., & Stephen, B. (2004). Beach time, bridge time and billable hours: The temporal structure of temporal contracting. Administrative Science Quarterly, 49, 1–38.
Flyvbjerg, B., Mette, K., Skamris, H., & Soren, L. B. (2002). Underestimating cost in public works projects: Error or lie? Journal of the American Planning Association, 68(3), 279–295. CrossRef
Godet, M., & Roubelat, F. (1996). Creating the future: The use and misuse of scenarios. Long Range Planning, 29(2), 164–171. CrossRef
Guba, E. G., & Lincoln, Y. S. (2005). Paradigmatic controversies, contradictions, and emerging influences. In The sage handbook of qualitative research (3rd ed., pp. 191–215). Thousand Oaks: Sage.
Guo, J. L., Teng, J. Y., Wu, X. G., Cao, J., & Yan, Y. (2012). Study on the collaborative management technique of IPD construction project based on building information modeling. Construction Technology, 22, 75–79. (Chinese).
He, Q. H., Qian, L. L., Duan, Y. F., & Li, Y. K. (2012). Current situation and barriers of BIM implementation. Journal of Engineering Management, 1, 12–16.
He, Q., Luo, L., Hu, Y., & Chan, A. P. (2014). Measuring the complexity of mega infrastructure construction projects in China – A fuzzy analytic network process analysis. International Journal of Project Management. doi: 10.1016/j.ijproman.2014.07.009.
Hu, X. X., & Minghui, R. (2012). The robust decision-making method for corporate strategic decision-making. Chinese Journal of Management Science, 20, 659–663. (in Chinese).
National Institute of Building Science, United states national building information modeling standard, version 1-part 1[EB/OL]. http://buildingsmartalliance.org
Ishida, T. Q. (2002). A scenario description language for interactive agents. IEEE Computer, 35(11), 54–59. CrossRef
Kahn, H., & Wiener, A. (1967). The year 2000. New York: MacMillan.
Kuhl, F., Weatherly, R., & Dahmann, J. (1999). Creating computer simulation systems: An introduction to the high level architecture. Upper Saddle River: Prentice Hall PTR.
Lai, F., & Wen, Y. (1997). Mathematical model and mathematical modeling. Beijing Normal University Publishing House . (Chinese).
Laiserin, J. (2002). Comparing pommes and naranjas.
Leifler, O., & Eriksson, H. (2012). Analysis tools in the study of distributed decision-making: A meta-study of command and control research. Cognition, Technology & Work, 14, 157–168. CrossRef
Li, H., Guo, H. L., Huang, T., Chen, J. Y., & Chen, J. J. (2010). Research on the application architecture of BIM in building projects. Journal of Engineering Management, 24(5), 525–529. (Chinese).
Lin, X. Y. (2015). Revised analytic induction and constant comparative method: Approaches to qualitative research. Peking University Education Review, 13(1), 16–40.
Liu, Q., & Wang, J. P. (2010). The research on building lifecycle management based on the technology of BIM. Journal of Information Technology in Civil Engineering and Architecture, 3, 40–45. (Chinese).
Loseke, D. R., & Cahil, S. E. (2007). Publishing qualitative manuscripts: Lessons learned. In Qualitative research practice: Concise paperback edition (pp. 491–506). Los Angeles: Sage.
Ma, Z. L., Zhang, D. D., & Ma, J. K. (2014). BIM-based collaborative work model and information utilization framework for IPD the projects. Journal of Tong Ji University (Natural Science), 42(9), 1325–1332. (Chinese).
Mahoney, J., & Goertz, G. (2006). A tale of two cultures: Contrasting quantitative and qualitative research. Political Analysis, 14, 227–249. CrossRef
Major, B., Mendes, W. B., & Dovidio, J. F. (2013). Intergroup relations and health disparities: A social psychological perspective. Health Psychology, 32(5), 514–524. CrossRef
Mannay, D. (2010). Making the familiar strange: Can visual research methods render the familiar setting more perceptible? Qualitative Research, 10(1), 91–111. CrossRef
Masera, M., & Wilkens, M. (2001). Interdependencies with the information infrastructure: dependability and complexity issues. The Fifth International Conference on Technology, Policy and Innovation, Netherlands.
Morning, A. (2008). Reconstructing race in science and society: Biology textbooks. American Journal of Sociology, 1952–2002.
Rhodes, M. L., Murphy, J., & Muir, J. (2010). Public management and complexity theory: Richer decision-making in public service. London: Routledge.
Ringland, G. (1998). Scenario planning: Managing for the future. New York: John Wiley.
Robinson, J. (2002). Personal communication. 25 July, 2002.
Sarjoughian, H., & Zeigler, B. P. (2000). DEVS and HLA. Transaction of the Society for Computer Simulation, 17(4), 187–197.
Schwartz, P. (1991). The art of the long view: Planning for the future in an uncertain world. New York: Currency Doubleday.
Sheng, Z. H., You, Z. Q., Chen, S. P., & Yao, B. (2009). Sutong bridge engineering system analysis and management system. Beijing: Science Press.
Shi, Y. (2013). Qualitative research method and Chinese sociology. The Journal of Humanities, 4, 101–107.
Strang, T., & Linnhoff-Popien, C. (2004, September). A context modeling survey. In Workshop Proceedings.
Tan, Y. J., Cai, Z. J., & Yu, W. (2005). The mathematical model. Shanghai: Fudan University Press.
Tian, G., Liu, Y., Wang, Y., & F. (2015). Exploring new pathway of management: Qualitative research methods in business anthropology. Chinese Journal of Management, 12(1), 1–10.
Van der Heijden, K. (1996). Scenarios: The art of strategic conversation. Chichester: Wiley.
Van Notten, P., & Rotmans, J. (2001). The future of scenarios. Scenario and Strategy Planning, 1(3), 4–8.
Wang, F. W. (2015). Generalization strategies of qualitative research. Peking University Education Review, 13(1), 40–78.
Wang, X. H., Zhang, D. Q., Gu, T., & Pung, H. K. (2004, March). Ontology based context modeling and reasoning using OWL. In Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second IEEE Annual Conference on (pp. 18–22). IEEE.
Weinan, E. (2011). Principles of multiscale modeling. Cambridge: Cambridge University Press.
Weinan, E., & Engquist, B. (2003). Multiscale modeling and computation. Notices of the AMS, 50(9), 1062–1070.
Werner, R. (2008). Innovations in the planning of mega-projects, decision making on mega-projects. Cheltenham/Northampton: Edward Elgar Publishing.
Wilcox, P. A., Burger, A. G., & Hoare, P. (2000). Advanced distributed simulation: A review of developments and their implication for data collection and analysis. Simulation Practice and Theory, 8(3), 201–231. CrossRef
Willemsen, P. J. (2000). Behavior and scenario modeling for real-time virtual environments. Doctoral dissertation: The University of Iowa.
Williams, T. M. (1999). The need for new paradigms for complex projects. International Journal of Project Management, 17(5), 269–273. CrossRef
Xia, W., & Lee, G. (2004). Grasping the complexity of IS development projects. Communications of the ACM, 47(5), 68–74. CrossRef
Xu, Y. X., Wang, Y. W., & Yao, B. (2010). Study on the construction project IPD collaborative management based on building information model. China Civil Engineering Journal, 44(12), 138–143. (Chinese).
Yang, L. H. (2003). Enterprise: The contract organization which produces products traded independently. Social Sciences in Xinjiang, 3, 18–27. (in Chinese).
Yessios, C. I. (2004). Are we forgetting design. AECbytes Viewpoint, 10. http://www.aecbytes.com/viewpoint/2004/issue_10.html
Zhang, R. Y., Wang, J. (2012). The implication of building information modeling (BIM). Industrial Building, S1:34–36 + 43. (Chinese).
Zhang, H., Wang, H., Chen, D., & Zacharewicz, G. (2010). A model-driven approach to multidisciplinary collaborative simulation for virtual product development. Advanced Engineering Informatics, 24(2), 167–179. CrossRef
Zhang, J. P., Li, D., Lin, J. R., & Yan, G. W. (2012). Application of BIM in engineering construction. Construction Technology, 371(41), 10–17. (Chinese).
Zhong, Q. Y., Guo, Y. M., Wang, N., Xue, H. F., Cui, L., & Wang, Y. Z. (2012). Research on unconventional emergency scenario model based on knowledge element. Information Science, 1, 024.
- Specialized Methods in the Research of Mega Infrastructure Construction Management
- Chapter 9
Neuer Inhalt/© Stellmach, Neuer Inhalt/© BBL, Neuer Inhalt/© Maturus, Pluta Logo/© Pluta, Neuer Inhalt/© hww, Wissenstransfer im Outsourcing/© WrightStudio | stock.adobe.com