Capabilities-based forecasting model for innovation development in small-and-medium construction firms (SMCFS)
Abstract
Triggering innovation among Small-and-Medium Construction Firms (SMCFs) is of paramount importance to gear up the growth of construction firms. Thus, this study aims to develop a Capability-Based forecasting model for innovation development in SMCFs. Built on 157 questionnaires, the model was tested using partial least squares (PLS) technique of structural equation modelling (SEM). The practicality and robustness of this model was then validated by 12 experts. Findings affirm SMCFs making use of multiple Capability-Based approaches would be able to secure their performance via innovation activities. For academia, the new model contributes to the stream of construction innovation management by integrating both technological and organizational innovations in a single framework. For practitioners and policymakers, the model offers valuable input for continuing growth of SMCFs via innovation.
Keyword : capability-based model, innovation development, construction SME, forecasting model
How to Cite
Wang, C., Lee, Y. L., Yap, J. B. H., & Abdul-Rahman, H. (2018). Capabilities-based forecasting model for innovation development in small-and-medium construction firms (SMCFS). Journal of Civil Engineering and Management, 24(3), 167-182. https://doi.org/10.3846/jcem.2018.1626
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Gann, D. M.; Salter, A. J. 2000. Innovation in project based, service enhanced firms: The construction of complex products and systems, Research Policy 29: 955–972. https://doi.org/10.1016/S0048-7333(00)00114-1
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Gronum, S.; Verreynne, M. L.; Kastelle, T. 2012. The role of networks in small and medium–sized enterprise innovation and firm performance, Journal of Small Business Management 50(2): 257–282. https://doi.org/10.1111/j.1540-627X.2012.00353.x
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Hardie, M. P.; Manley, K. 2008. Exemplars of successful innovation delivery by small and medium construction enterprises, in K. A. Brown, K. D. Hampson, P. S. Brandon and J. Pillay (Eds). Clients driving construction innovation: Benefiting from innovation. Brisbane: CRC for Construction Innovation, 190–196.
Hardie, M.; Allen, J.; Newell, G. 2013. Environmentally driven technical innovation by Australian construction SMEs, Smart and Sustainable Built Environment 2(2): 179–191. https://doi.org/10.1108/SASBE-01-2013-0003
Hillebrandt, P. 2006. Letter to the editor, Construction Management and Economics 24: 669–670. https://doi.org/10.1080/01446190500249429
Hine, D.; Ryan, N. 1999. Small service firms: Creating value through innovation, Managing Service Quality 9(6): 411–422. https://doi.org/10.1108/09604529910302109
Hulland, J.; Ryan, M. J.; Rayner, R. K. 2010. Modeling customer satisfaction: A comparative performance evaluation of covariance structure analysis versus partial least squares, in V. E. Vinzi, W. W. Chin, J. Henseler, and H. Wang (Eds). Handbook of partial least square: Concepts, methods and applications in marketing and related fields. Berlin: Springer, 307–325. https://doi.org/10.1007/978-3-540-32827-8_15
Iliescu, M.; Ciocan, R. 2017. Modern technologies innovation in use for quality control on construction site, Procedia Engineering 181: 999–1004. https://doi.org/10.1016/j.proeng.2017.02.499
Jerez-Gomez, P.; Cespedes-Lorente, J.; Valle-Cabrera, R. 2005. Organizational learning capability: A proposal of measurement, Journal of Business Research 58(6): 715–725. https://doi.org/10.1016/j.jbusres.2003.11.002
Kohli, A. K.; Jaworski, B. J. 1990. Market orientation: The construct, research propositions and managerial implications, Journal of Marketing 54(2): 1–18. https://doi.org/10.2307/1251866
Kolb, D. 1984. Experiential learning. Englewood Cliffs, NJ: Prentice Hall.
Kotler, P.; Armstrong, G. 1991. Principles of marketing. 5th ed. Englewood Cliffs, NJ: Prentice Hall.
Laforet, S. 2013. Organizational innovation outcomes in SMEs: Effects of age, size and sector, Journal of World Business 48(4): 490–502. https://doi.org/10.1016/j.jwb.2012.09.005
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