DOI: https://doi.org/10.9744/dimensi.45.2.101-112

DESCRIPTIVE ANALYSIS OF DECISION-MAKING CRITERIA FOR BUILDING RETROFIT CONSTRUCTION: A CASE STUDY OF BANGLADESH

Rumiko Sasaki, Tsuyoshi Seike, Yongsun Kim

Abstract


This paper is an exploratory study adopting a descriptive approach to clarify the background of technology adoption, role of multiple stakeholders, and decision-making processes in Bangladesh from the perspective of the possible technology dissemination. In addition, this study identifies the factors influencing decision-making on the basis of semi-structured interview in terms of frontend projects. In the retrofit process, assessments, standards, design policies, construction methods, and materials are mainly determined at the planning stage. International standards are a promoting factor in obtaining owner approval in technology selection, whereas cost and material procurement are the suppressing factors. The stakeholders in providing and diffusing new technology are technical consultants and structural designers, who are involved in the initial phase of the process. For technology diffusion within Bangladesh, these stakeholders must be acknowledged and worker education must be considered.

Keywords


Technical Stakeholders; seismic retrofit; decision making process; technology adoption; descriptive analysis

Full Text:

PDF

References


Akihiko, T., Syochi, A., & Kenji, O. (2013). Comparative study on non-engineered construction in developing countries. Tokyo: Architectural Institute of Japan, 78, 907–914.

Akihiko, T. (2013). Study on constraints to improve the earthquake resistance of non-engineered houses with factor analysis methods. Doctoral thesis. Kanagawa: Yokohama National University.

Rumiko, S., Tsuyoshi, S., & Yongsun, K. (2014). Decision-making process and stakeholder’s role of retrofit in Bangladesh. Kinki: Architectural Institute of Japanese annual conference. (In Japanese).

Hideaki, K., & Satoru, S. (2001). A study on deter-mining development factors and their components for technical cooperation to developing countries in architectural area. Tokyo: Architectural Institute of Japan, 550, 225–233.

Hideaki, K. (2003). A study on development factors for disaster prevention area in developing coun-tries. Tokyo: Summaries of technical papers of Annual Meeting, Architectural Institute of Japan, 441-442.

Hideaki, K. (2004). Analysis and evaluation on social factors in technical cooperation of disaster prevention area. Tokyo: Summaries of technical papers of Annual Meeting, Architectural Institute of Japan, 385-386.

Hideaki, K. (2006). A study on access, vulnerability and recovery from earthquakes in developing countries. Tokyo: Summaries of technical papers of Annual Meeting, Architectural Institute of Japan, 503-504.

Shuzo, F., Osamu, F., & Kazuyoshi, E. (1988). Technology transfer of building construction to developing countries. Tokyo: Summaries of tech-nical papers of Annual Meeting, Architectural Institute of Japan, 611-612.

Shuzo, F., Osamu, F., & Kazuyoshi, E. (1989). Technology transfer of building construction to developing countries (2). Tokyo: Summaries of technical papers of Annual Meeting, Architectural Institute of Japan, 537-538.

Kenji, O. (2003). Research on motivation and management of sustainable earthquake disaster preven-tion in developing countries- Through implementation of the United Nations RADIUS (urban disaster countermeasure promotion) project -. Doctoral thesis. Kyoto: Kyoto University.

Chankong, V., & Haimes, Y. Y. (1983). Multi-objective decision-making -Theory and Metho-dology. North-Holland, New York

Lesniak. A., & Plebankiewicz. E. (2013). Modeling the decision-making process concering participation in construction bidding. Journal of Management in Engineering, ISSN (online) 1943–5479.

Chua, D. K. H., Li, D. Z., & Chan, W. T., (2001). Case-Based Reasoning Approach in Bid Deci-sion Making. Technical Paper, Journal of Con-struction Engineering and Management, 127(1).

Ling, F., & Bui, T., (2010). Factors affecting construction project outcomes: Case study of Viet-nam: ASCE Case studies: EI.1943-5541. 0000013, 148-155

Nguyen, L., Phan, D., & Tang, L, (2013). Predicting Construction Duration with Typical Construction Sequences for High-Rise Buildings. Architectural Engineering Conference, ISBN (print): 978-0-7844-1290-9.

Tam, C.M., Deng, Z.M., & Zeng, S.X. (2002). Eva-luation of construction methods and performance for high rise public housing construction in Hong Kong. Building and Environment, 37, 983-991.

Hurtado, B., & Bruno, G. (2005). El Proceso de Analisis Jerarquico (AHP) como Herramienta para la toma de decisions en la selection de proveedores. Universidad Nacional Mayor de San Marcos, Peru.

Ling, Y.Y. (2003). A conceptual model for selection of architects by project managers in Singapore. International Journal of Project Management, 21(2), 135-144.

Ng, S. T., & Chow, L. (2004). Evaluating engineering consultants’ general capabilities during the pre-selection process- A Hong Kong Study. Construction. Archit. Management, 11(3), 150-158.

Ximena, F., & Alfredo, S. (2014). Selection of con-struction Methods for Construction Projects: A Knowledge Problem. Journal of Construction Engineering and Management, 140(4), B4014002.

Youssef, M., Anumba, C., & Thorpe, T. (2005). Intelligent selection of concrete bridge construc-tion methods in Egypt. Proceeding 2005 ASCE International Conference on Computing in Civil Engineering, ASCE, Reston. VA.

Soetanto, R., Glass, J., Dainty, A., & Price, D. (2007). Structural frame selection: Case studies of hybrid concrete frames. Building Res. Inf., 35(2), 206-219.

Castro-Lacouture, D., Sefair, J. A., Florez, L., & Medaglia, A. L. (2009). Optimization model for the selection of materials using a LEED-based green building rating system in Colombia. Building Environment, 44(6), 1162-1170.

Yun, Z., Florence, Y. Ling., & Peng. Wu. (2017). Journal of Construction Engineering and Mana-gement, CO.1943-7862.0001210.

Kanter, J. (1999). Knowledge management: Practically speaking. Infl. Syst. Management, 16(4), 7-15.

Ahmed, M. G., John, M. K., Chimay, J. & Anumba. (2006). Prototype System for Knowledge Pro-blem Definition. Journal of Construction engineering and Management, 132(5), 516-524.

Nonaka, I., & Takeuchi, H. (1995). The knowledge creating company: How Japanese companies create the dynamics of innovation. Oxford University Press, New York.

Vail, E. F., (1991). Knowledge mapping: Getting started with knowledge management. Inf. Syst. Management, 16(4), 16-23.

Yi, Z., Yang, Miang., Brian H.W., & Guo (2016). Journal of Construction Engineering and Mana-gement, CO.1943-7862.0001279.

Gibson. G. E., & Hamilton, M. H. (1994). Analysis of pre-project planning effort and success variables for capital facility projects. Rep. SD-105, Construction Industry Institute, Univ. of Texas at Austin, Austin, TX.

Bon-Gang, H., & Jia, W.H., (2012). Journal of Con-struction Engineering and Management, 138(4): 567-573.

Simon, H.A. (1945). Theory of Games and Economic Behavior. John Von Neumann, Oskar Morgens-tern: American Journal of Sociology, 50(6), 558.

March, J.G., Simon, H.A. (1958). Organizations. : Willey Organizations. Oxford, England.

Charles E. Lindblom. (1959). The Science of “Muddling Through”. Public Administration Review, 19(2), 79-88.

Mintzberg, H., Raisinghani, D., & Theoret, A. (1976). The structure of “Unstructured Decision Pro-cesses. Administrative Science Quarterly, 21(2), 246-275.

Michael D.C., James G.M., & Johan P.O. (1972). A Garbage Can Model of Organizational Choice. Administrative Science Quarterly, 17(1), 1-25.




DOI: https://doi.org/10.9744/dimensi.45.2.101-112



Template DIMENSI

The Journal is published by The Institute of Research & Community Outreach - Petra Christian University. It available online supported by Directorate General of Higher Education - Ministry of National Education - Republic of Indonesia.

©All right reserved 2016.Dimensi, ISSN: 0126-219X, e-ISSN: 2338-7858

 

shopify visitor statistics
View My Stats