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A fuzzy model to determine construction firm strategies

  • Construction Management
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

The construction industry has a complex and dynamic environment. It consists different professions and is intertwined with other industries. This results in construction firms as very sensitive to both internal and external factors. Correct strategies should be chosen and used effectively to reduce the impact of these factors or benefit from them. In this paper, a methodology for determining proper strategies was introduced. For this purpose in the first part of the study, 50 large-scaled construction firms in Turkey were examined by a Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis. In addition, each firm’s primary goal was also identified. The results obtained in the first part were used to develop a fuzzy model for determining main objectives of construction firms. The validity of the model was confirmed by testing real data of the surveyed firms. Finally, relevant strategies in accordance with the firms’ main goal were introduced. The results of the questionnaire revealed that there is high correlation between the firms’ current positions in the market and their main goals. In addition, construction firms can also be classified according to Miles and Snows’ strategy typology.

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References

  • Abu Bakar, A. H., Tufail, M. A., Yusof, M. N., and Virgiyanti, W. (2011). “Implementation of strategic management practices in the malaysian construction industry.” Pakistan Journal of Commerce and Social Sciences, Vol. 5, Issue 1, pp. 140–154.

    Google Scholar 

  • Baloi, D. and Price, A. D. F. (2003). “Modeling global risk factors affecting construction cost performance.” Int. J. Proj. Manage., Vol. 21, Issue 4, pp. 261–269.

    Article  Google Scholar 

  • Betts, M. and Ofori, G. (1992). “Strategic planning for competitive advantage in construction.” Construction Management and Economics, Vol. 10, Issue 6, pp. 511–532.

    Article  Google Scholar 

  • Chan, A. P. C., Chan, D. W. M., and Yeung, J. F. Y. (2009). “Overview of the application of “Fuzzy Technique.” in construction management research.” Journal of Construction Engineering and Management, Vol. 135, No. 11, pp. 1241–252.

    Article  Google Scholar 

  • Chandler, A. D. (1962). Strategy and structure: Chapters in the history of the industrial enterprise, The Mit Press, London.

    Google Scholar 

  • Chao, L. C. and Skibniewski, M. J. (1998). “Fuzzy logic for evaluating new construction technology.” Journal of Construction Engineering and Management, Vol. 124, No. 4, pp. 297–304.

    Article  Google Scholar 

  • Cheah, C. Y. J. and Garvin, M. J. (2004). “An open framework for corporate strategy in construction, Engineering.” Construction and Architectural Management, Vol. 11, Issue 3, pp. 176–188.

    Article  Google Scholar 

  • Cheah, C. Y. J., Garvin, M. J., and Miller, J. B. (2004). “Empirical study of strategic performance of global construction Firms.” Journal of Construction Engineering and Management, Vol. 130, No. 6, pp. 808–817.

    Article  Google Scholar 

  • Chinowsky, P. S. and Meredith, J. E. (2000). “Strategic management in construction.” Journal of Construction Engineering and Management, Vol. 126, No. 1, pp. 1–9.

    Article  Google Scholar 

  • Danosh, A. (2005). “Strategic planning practice of construction firms in Ghana.” Construction Management and Economics, Vol. 23, No. 2, pp. 163–168.

    Article  Google Scholar 

  • Desarbo, W. S., Di Benedetto, C. A., Song, M., and Sinha, I. (2005). “Revisiting the miles and snow strategic framework: Uncovering interrelationships between strategic types.” Capabilities, Environmental Uncertainty, and Firm Performance, Strategic Management Journal, Vol. 26, Issue 1, pp. 47–74.

    Google Scholar 

  • Dikmen, I. and Birgonul, M. T. (2003). “Strategic perspective of turkish construction companies.” Journal of Management in Engineering, Vol. 19, No. 1, pp. 33–40.

    Article  Google Scholar 

  • Elbeltagi, E. E., Hosny, A. A., Elhakeem, A., Abdelrezak, M. E., and El-Abbasy, M. S. (2012). “Fuzzy Logic Model for Selection of Vertical Formwork Systems.” Journal of Construction Engineering and Management, Vol. 138, No. 7, pp. 832–840.

    Article  Google Scholar 

  • Hill, C. W. L. and Jones, G. R. (1995). Strategic management theory, an integrated approach, Houghton Mifflin Company, Third Edition: Boston, pp. 511.

    Google Scholar 

  • Kaiser, H. F. and Rice, J. (1974). “Little jiffy, Mark IV.” Educational and Psychological Measurement, Vol. 34, No. 1, pp. 111–117.

    Article  Google Scholar 

  • Kazaz, A. and Ulubeyli, S. (2009). “Strategic management practices in turkish construction firms.” Journal of Management in Engineering, Vol. 25, No. 4, pp. 185–194.

    Article  Google Scholar 

  • Knight, K. and Fayek, A. R. (2002). “Use of fuzzy logic for predicting design cost overruns on building projects.” Journal of Construction Engineering and Management, Vol. 128, No. 6, pp. 503–512.

    Article  Google Scholar 

  • Lin, C. T. and Chen, Y. T. (2004). “Bid/no-bid decision-making: A linguistic approach.” International Journal of Project Management, Vol. 22, Issue 7, pp. 585–593.

    Article  Google Scholar 

  • Ma, H., Deng, Z., and Solvang, W. D. (2004). “An online approach for distributor benchmarking.” Benchmarking: An International Journal, Vol. 11, Issue 4, pp. 385–402.

    Article  Google Scholar 

  • Miles, R. E., Snow, C. C., Meyer, A. D., and Jr. Coleman, H. J. (1978). “Organizational strategy, structure, and process.” The Academy of Management Review, Vol. 3, No. 3, pp. 546–562.

    Google Scholar 

  • Mintzberg, H. (1978). “Patterns in strategy formation.” Management Science, Vol. 24, Issue 9, pp. 934–948.

    Article  Google Scholar 

  • Naaronaja, M., Haapalainen, P., and Lonka, H. (2007). “Strategic management tools in projects case construction project.” International Journal of Project Management, Vol. 25, Issue 9, pp. 659–665.

    Article  Google Scholar 

  • Nguyen, V. (1985). “Tender evaluation by fuzzy sets.” J. Constr. Eng. Manage., Vol. 111, No. 3, pp. 231–243.

    Article  Google Scholar 

  • Okoroh, M. I. and Torrance, V. B. (1999). “A model for subcontractor selection in refurbishment projects.” Construction Management and Economics, Vol. 17, Issue 3, pp. 315–327.

    Article  Google Scholar 

  • Oliveros, A. V. O. and Fayek, A. R. (2005). “Fuzzy logic approach for activity delay analysis and schedule updating.” Journal of Construction Engineering and Management, Vol. 131, No. 1, pp. 42–51.

    Article  Google Scholar 

  • Ozdemir, B. E. (2012). Strategy determination in construction industry by using fuzzy method, Akdeniz University Institute of Science (in Turkish).

    Google Scholar 

  • Porter, M. E. (1980). Competitive strategy: Techniques for analyzing industries and competitors, Free Press, New York.

    Google Scholar 

  • Price, A. D. F. and Newson, E. (2003). “Strategic management: Consideration of paradoxes, processes, and associated concepts as applied to construction.” Journal of Management in Engineering, Vol. 19, No. 4, pp. 183–192.

    Article  Google Scholar 

  • Price, A. D. F., Ganiev, B. V., and Newson, E. (2003). “Changing strategic management practice within the UK construction industry.” Strategic Change, Vol. 12, Issue 7, pp. 347–366.

    Article  Google Scholar 

  • Shang, H. P., Anumba, C. J., Bouchlaghem, D. M., and Miles, J. C. (2005). “An intelligent risk assessment for distributed construction teams.” Engineering, Construction and Architectural Management, Vol. 12, Issue 4, pp. 391–409.

    Article  Google Scholar 

  • Singh, D. and Tiong, R. (2005). “A fuzzy decision framework for contractor selection.” J. Constr. Eng. Manage., Vol. 131, Issue 1, pp. 62–70.

    Article  Google Scholar 

  • Tah, J. H. M. and Carr, V. (2000). “A proposal for construction Project risk assessment using fuzzy logic.” Construction Management and Economics, Vol. 18, No. 4, pp. 491–500.

    Article  Google Scholar 

  • Turkish Contractors Association (TCA). <{rs http://www.tmb.org.tr/eng url}> (February 15, 2013).

  • Warszawski, A. (1996). “Strategic planning in construction companies.” Journal of Construction Engineering and Management, Vol. 122, No. 2, pp. 133–140.

    Article  Google Scholar 

  • Zadeh, L. A. (1965). “Fuzzy sets.” Information and Control, Vol. 8, Issue 3, pp. 338–353.

    Article  MathSciNet  MATH  Google Scholar 

  • Zayed, T. M. and Halpin, D. W. (2004). “Quantitative assessment for piles productivity factors.” Journal of Construction Engineering and Management, Vol. 130, No. 3, pp. 405–414.

    Article  Google Scholar 

  • Zhang, H., Li, H., and Tam, C. M. (2004). “Fuzzy discrete-event simulation for modeling uncertain activity duration.” Engineering, Construction and Architectural Management, Vol. 11, Issue 6, pp. 426–437.

    Article  Google Scholar 

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Kazaz, A., Er, B. & Ozdemir, B.E. A fuzzy model to determine construction firm strategies. KSCE J Civ Eng 18, 1934–1944 (2014). https://doi.org/10.1007/s12205-014-0239-2

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