Innovation Diffusion Modeling in the Construction Industry
Publication: Journal of Construction Engineering and Management
Volume 136, Issue 3
Abstract
The innovation diffusion modeling approach proposes that the diffusion of an innovation in an industry is mainly driven by internal and external influence factors. But the innovation diffusion models used in previous research studies conducted in the construction management literature are excessively restrictive. This research uses a more flexible model called the nonuniform influence (NUI) model to study the diffusion of a technological innovation, namely, computer aided design (CAD) technology in the Turkish architectural design practice; and an administrative innovation, namely, ISO 9000 certification in the Turkish precast concrete industry. The research findings point out that the NUI model performs significantly better than previously used models and that internal rather than external influence plays a predominant role in the diffusion of both types of innovation. The research findings provide additional insights into the diffusion of CAD technology and ISO 9000 certification which could not be captured by the previously used diffusion models. They show that internal influence on the diffusion of CAD technology increases with passage of time and that internal influence on the diffusion ISO 9000 certification decreases with passage of time. The research has academic importance because it addresses the limitations of previous innovation diffusion research and provides quantitative insights into the diffusion of innovations; knowledge that is lacking in the construction management literature. The research is of practical importance because it provides useful observations that architecture/engineering/construction firms can use to understand the presence of imitative behavior in the innovation diffusion process and the role of innovation characteristics in imitative behavior.
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References
Abrahamson, E., and Rosenkopf, L. (1993). “Institutional and competitive bandwagons: Using mathematical modeling as a tool to explore innovation diffusion.” Acad. Manage. Rev., 18(3), 487–517.
Anderson, S. W., Daly, J. D., and Johnson, M. F. (1999). “Why firms seek ISO 9000 Certification: Regulatory compliance or competitive advantage?” Prod. Oper. Manage., 8(1), 28–43.
Attewell, P. (1992). “Technology diffusion and organizational learning: The case of business computing.” Org. Sci., 3(1), 1–19.
Bass, F. (1969). “New product growth model for consumer durables.” Manage. Sci., 15(5), 215–227.
Benner, M. J., and Tushman, M. (2002). “Process management and technological innovation: A longitudinal study of the photography and paint industries.” Adm. Sci. Q., 47(4), 676–702.
Brandyberry, A. A. (2003). “Determinants of adoption for organizational innovations approaching saturation.” Eur. J. Innov. Manage., 6(3), 150–158.
Burt, R. (1987). “Social contagion and innovation: Cohesion versus structural equivalence.” Am. J. Sociol., 92, 1287–1335.
Chini, A., and Valdez, H. E. (2003). “ISO 9000 and the US Construction Industry.” Journal of Engineering Management, 19(2), 69–77.
Cole, R. E., and Scott, W. R. (2000). The quality movement and organizational theory, Sage, London, U.K.
Coleman, J., Katz, E., and Menzel, H. (1966). Medical innovation: A diffusion study, Bobs-Merill, Indianapolis.
Conde, E. R. (2004). “Modeling innovation diffusion patterns.” Ph.D. dissertation, Univ. of Groningen, the Netherlands.
Cook, T. D., and Campbell, D. T. (1979). Quasi-experimentation: Design and analysis for field settings, Rand McNally, Chicago.
Corbett, C. J. (2003). “Global diffusion of ISO 9000 certification through supply chains.” Decisions, operations, and technology management, ⟨http://repositories.cdlib.org/anderson/dotm/corb001⟩ (August 1, 2008).
Creswell, J. W. (1994). Research design: Qualitative and quantitative approaches, Sage, Thousand Oaks, Calif.
Cross, N. (2001). “Designerly ways of knowing: Design discipline vs. design science.” Des. Issues, 17(3), 49–55.
Daft, R. L. (1978). “A dual-core model of organizational innovation.” Acad. Manage J., 21(2), 193–210.
Di Maggio, P. J., and Powell, W. W. (1983). “The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields.” Am. Sociol. Rev., 48(2), 147–160.
Easingwood, C. J., Mahajan, V., and Muller, E. (1983). “A non-uniform influence innovation diffusion model of new product acceptance.” Mark. Sci. (Providence R.I.), 2(3), 273–295.
Eisenhardt, K. (1989). “Building theories from case study research.” Acad. Manage. Rev., 14(4), 532–549.
Erel, E., and Ghosh, J. B. (1997). “ISO 9000 implementation in Turkish industry.” Int. J. Operat. Product. Manage., 17(12), 1233–1246.
Farrell, J., and Saloner, G. (1985). “Standardization, compatibility and innovation.” Rand J. Econ., 16(1), 70–83.
Fichman, R. G. (1992). “Information technology diffusion: A review of empirical research.” Proc., 13th Int. Conf. on Information Systems, University of Minnesota, Minneapolis.
Fornerino, M. (2003). “Internet adoption in France.” Service Industries Journal, 23(1), 119–135.
Fraser, M. (1993). “CAD in practice: Roundtable discussion.” ACADIA Quarterly, 12(2), 9–14.
Frey, J. H. (1989). Survey research by telephone, Sage, New York.
Goldenberg, J., Libai, B., and Muller, E. (2001). “Using complex systems analysis to advance marketing theory: Modeling heterogeneity effects on new product growth through stochastic cellular automata.” Vol. 9, Academy of marketing science review, http://www.amsreview.org/articles/goldenberg09-2001.pdf⟩ (July 15, 2008).
Golder, P. N., and Tellis, G. J. (1998). “Beyond diffusion: An affordability model of the growth of new consumer durables Journal of Forecasting.” J. Forecast., 17(3–4), 259–280.
Guler, I., Guillen, M. F., and Macpherson, J. M. (2002). “Global competition, institutions, and the diffusion of organizational practices: The international spread of ISO 9000 quality certificates.” Adm. Sci. Q., 47(2), 207–232.
Hansen, K. L. (1993). “How strategies happen: An investigation of decision to upgrade CAD/CIE in AEC firms.” Ph.D. dissertation, Stanford Univ., Stanford, Calif.
Harkola, J. (1995). “Diffusion of construction technology in a Japanese firm.” Ph.D. dissertation, Stanford Univ., Stanford, Calif.
Harkola, J., and Greve, A. (1995). “Diffusion of technology: Cohesion or structural equivalence.” Academy of Management: Best papers proceedings, Academy of Management, Briarcliff Manor, N.Y., 422–426.
Jeuland, A. (1981). “Parsimonious models of innovation. Part A: Derivation and comparisons.” Working paper #8, Graduate School of Business, University of Chicago, Chicago.
Kale, S., and Arditi, D. (2005). “Diffusion of computer aided design technology in architectural design practice.” J. Constr. Eng. Manage., 131(10), 1135–1141.
Kale, S., and Arditi, D. (2006). “Diffusion of ISO 9000 certification in the precast concrete industry.” Constr. Manage. Econom., 24(5), 485–495.
Katz, M., and Shapiro, C. (1985). “Network externalities, competition and compatibility.” Am. Econ. Rev., 75(3), 424–440.
Kim, M., and Kim, H. (2004). “Innovation diffusion of telecommunications: general patterns, diffusion clusters and differences by technological attribute.” Int. J. Innov. Manage., 8(2), 223–241.
Koebel, C. T., Papadakis, M., Hudson, E., and Cavell, M. (2004). The diffusion of innovation in the residential building industry, U.S. Department of Housing and Urban Development Office of Policy Development and Research, Blacksburg, Va.
Kumar, U., and Kumar, V. (1992). “Technological innovation diffusion: The proliferation of substitution models and easing the user’s dilemma.” IEEE Trans. Eng. Manage., 39(2), 158–168.
Kumaraswamy, M. M., and Dissanayaka, S. M. (2000). “ISO 9000 and beyond—In Hong Kong construction industry.” Constr. Manage. Econom., 18(7), 783–796.
Larsen, G. D. (2005). “Horses for courses: Relating innovation diffusion concepts to the stages of the diffusion process.” Constr. Manage. Econom., 23(8), 787–792.
Larsen, G. D., and Ballal, T. M. A. (2005). “The diffusion of innovations within a UKCI context: An explanatory framework.” Constr. Manage. Econom., 23(1), 81–91.
Lawson, B. (1998). “Towards a computer-aided architectural design process: A journey of several mirages.” Comput. Ind., 35(1), 47–57.
Lawson, B. (2004). What designers know, Elsevier, New York.
Mahajan, V., Muller, E., and Bass, F. (1990). “New product diffusion models in marketing: A review and new directions for research.” J. Mark. Res., 54(1), 1–26.
Mahajan, V., Muller, E., and Wind, Y. (2000). New product diffusion models, Kluwer Academic, Boston.
Mahajan, V., Sharma, S., and Bettis, R. (1988). “The adoption of the m-form organizational structure: A test of imitation hypothesis.” Manage. Sci., 34(10), 1188–1201.
Manley, K., and McFallan, S. (2003). “Innovation adoption behavior in the construction sector: The case of the Queensland road industry.” Proc., 2nd Int. Conf. on Innovation in Architecture, Engineering and Construction, Loughborough University, U.K.
Mansfield, E. (1961). “The technical change and the rate of imitation.” Econometrica, 29(4), 741–766.
Meade, N., and Towhidul, I. (2006). “Modelling and forecasting the diffusion of innovation—A 25—Year review.” Int. J. Forecast., 22(3), 519–545.
Mitropoulos, P., and Tatum, C. B. (2000). “Forces driving adoption of new information technologies.” J. Constr. Eng. Manage., 126(5), 340–348.
Moatazed-Keivani, R., Ghanbari-Parsa, A. R., and Kagaya, S. (1999). “ISO 9000 standards: Perceptions and experiences in the UK construction industry.” Constr. Manage. Econom., 17(1), 107–119.
Moore, G. (1995). Crossing the Chasm, Harper Business, New York.
Naveh, E., Marcus, A., and Moon, H. K. (2004). “Implementing ISO 9000: Performance improvement by first or second movers.” Int. J. Prod. Res., 42(9), 1843–1863.
Nawaz Sharif, M., and Kabir, C. (1976). “A generalized model for forecasting technological substitution.” Technol. Forecast. Soc. Change, 8(4), 353–364.
Ofori, G., and Gang, G. (2001). “ISO 9000 certification of Singapore construction enterprises: Its costs and benefits and its role in the development of the industry.” Eng., Constr., Archit. Manage., 8(2), 145–157.
Peansupap, V., and Walker, D. H. T. (2006). “Innovation diffusion at the implementation stage of a construction project: A case study of information communication technology.” Constr. Manage. Econom., 24(3), 321–332.
Pendergast, P. (1991). “CAD in practice: The Pendergast Group.” ACADIA Quarterly, 10(1), 8–13.
Pries, F., and Dorée, A. (2005). “A century of innovation in the Dutch construction industry.” Constr. Manage. Econom., 23(6), 561–564.
Rogers, E. (1995). Diffusion of innovations, The Free Press, New York.
Shao, Y. P. (1999). “Expert system diffusion in British banking: Diffusion models and multi media.” Inf. Manage., 35(1), 1–8.
Sillup, G. U. (1992). “Forecasting the adoption of new medical technology using the Bass model.” J. Health Care Mark., 12(4), 42–51.
Simmons, B. L., and White, M. A. (1999). “The relationship between ISO 9000 and business performance: Does registration really matter?” J. Manage. Issue, 11(3), 330–343.
Skrabec, Q., Ragu-Nathan, T. S., Rao, S. S., and Bhatt, B. T. (1997). “ISO 9000: Do the benefits outweigh the costs?” Ind. Manage. (Des Plaines), 29(6), 26–31.
Sultan, F., Farley, J. U., and Lehmann, D. R. (1990). “A meta-analysis of diffusion models.” J. Mark. Res., 27(1), 70–77.
Sutherland, I. E. (1963). “Sketchpad: A man-machine graphical communication system.” Proc., 23rd SJCC, Spartan Books, Baltimore, 329–346.
Taylor, J. E., and Levitt, R. E. (2004). “A new model for systemic innovation diffusion in project based industries.” Working paper #WP086, Center for Integrated Facility Engineering (CIFE), Stanford University, Stanford.
Taylor, J. E., and Levitt, R. E. (2007). “Innovation alignment and project network dynamics: An integrative model for change.” Proj. Manage. J., 38(3), 22–35.
Teece, D. J. (1980). “The diffusion of an administrative innovation.” Manage. Sci., 26(5), 464–470.
Teng, J. T. C., Grover, V., and Güttler, W. (2002). “Information technology innovations: General diffusion patterns and its relationships to innovation characteristics.” IEEE Trans. Eng. Manage., 49(1), 13–27.
Terlaak, A., and King, A. (2002). “Contrasting institutional theory and signaling theory to explain the adoption process of an industry standard.” 2nd Annual Wharton Technology Miniconference, Univ. of Pennsylvania, Philadelphia.
Terziovski, M., Samson, D., and Dow, D. (1997). “The business value of quality management systems certification: Evidence from Australia and New Zealand.” J. Operations Manage., 15(1), 1–18.
Toole, T. M. (1998). “Uncertainty and adoption of homebuilders technological innovations.” J. Constr. Eng. Manage., 124(4), 323–332.
Tornatzky, L. G., and Fleischer, M. (1990). The process technological innovation, Lexington Books, Mass.
Van den Bulte, C., and Stremersch, S. (2004). “Social contagion and income heterogeneity in new product diffusion: A meta-analytic test.” Mark. Sci. (Providence R.I.), 23(4), 530–544.
Venkatraman, N., Loh, L., and Koh, J. (1994). “The adoption corporate governance mechanisms: A test of competing diffusion models.” Manage. Sci., 40(4), 496–507.
Widén, K., and Hansson, B. (2007). “Diffusion characteristics of private sector financed innovation in Sweden.” Constr. Manage. Econom., 25(5), 467–475.
Yin, R. K. (1994). Case study research: Design and methods, Sage, Thousand Oaks, Calif.
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Published In
Journal of Construction Engineering and Management
Volume 136 • Issue 3 • March 2010
Pages: 329 - 340
Copyright
© 2010 ASCE.
History
Received: Sep 24, 2008
Accepted: Aug 11, 2009
Published online: Aug 13, 2009
Published in print: Mar 2010
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