Abstract
Deciding whether certain factors should be considered drivers of innovation in construction firms is crucial in terms of improving their performance and survival in an environment that is changing by leaps and bounds. Throughout the years, construction companies have been considered to be traditional and without the tendency to innovate. However, several studies have confirmed that this perception of the sector is evolving and that successful instruments from other industries are gradually being adapted for the benefit of the industry. The objective of this paper is therefore to investigate the potential factors affecting the performance of these organizations. Eighteen factors related to the individual, group, and organizational levels were identified through a review of the literature and an instrument developed that was validated by experienced professionals. A questionnaire was sent to 103 people working in the sector at the national level to obtain their views. The results of the classification analysis indicate that “technology and equipment” and “software acquisition” are considered the two most significant factors. In addition, these 18 factors can be classified into 7 groups: (i) internal drivers of innovation; (ii) innovation within the organization; (iii) technological innovation; (iv) technological links with the environment; (v) external drivers of innovation; (vi) innovation in processes; (vii) a culture of innovation in the company. Innovation in processes has the highest level of impact. This research deepens the current understanding of the factors at different organizational levels that must be highlighted in the implementation of an R&D system in order for companies to improve their performance and survival in future processes.
Highlights
SPSS statistical software was used to evaluate the reliability of the measuring instrument based on Cronbach’s alpha. is application allows us to determine the values associated with each of the indicators and to examine how much they would vary if any of these indicators were eliminated
It is a useful tool for determining whether it is possible to improve the reliability of the proposed measurement instrument by eliminating any of the indicators that do not have sufficient levels of correlation with the construct to which they are associated. is process is especially useful for debugging scales by eliminating items that are not suitable for measuring the constructs [72]
Bartlett’s sphericity test, which identifies the presence of correlation between the variables analyzed, allows us to determine the convenience of using factorial analysis by assessing the null hypothesis with the usual significance level of 0.05%. is assumes that the correlation matrix is equal to the identity matrix and would indicate that the variables are not correlated
Summary
Received February 2020; Revised 9 July 2020; Accepted July 2020; Published 26 July 2020. Is paper builds on these earlier contributions by examining the relative contribution of a more comprehensive range of internal and external strategies to innovation in the construction industry It is based on the vision of the personnel of different hierarchy and age range obtaining an approach referring to managerial positions. It is more immersed in the analysis of the internal and external factors of the organizations, adding additional perspectives for the construction sector in Spain
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