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Due to the complexity, high-risk and conservative character of construction companies, advanced digital technologies do not become widely adopted in the short term, while vendors make determined efforts to overcome this and disseminate their technologies. This paper presents the methods of an investigation addressing the extremely complex issues related to the current practices of digital technology adoption in construction. It discusses how construction companies follow a specific logical process linked to need, project objectives, the characteristics of the adopting organization and the characteristics of the new technology to be adopted. The study aims to demonstrate a novel method of data collection and analysis, such as data and methodological triangulation techniques, including the use of NVivo and AHP to explore how companies make the decision to uptake new technology (e.g., advanced crane, tunnel boring machine or drones) by focusing on customer and vendor activities, their interactions, contributing factors and people involved in the process. The major original contribution of this paper is developing an innovative methodological cube for investigating the Construction Technology Adoption Process (CTAP) covering technology adoption, acceptance, diffusion and implementation concepts. CTAP is a framework that delineates the phases of the process that customer organizations use when deciding to adopt a new digital technology and the parallel vendor activities. The significance of these contributions is that they enable vendors to understand how to match their strategies with customer expectations in each phase of CTAP. It also provides a benchmark for new construction companies to use the current best practices of decision making. Future research is warranted to more clearly delineate any differences with respect to developing nations or related industries such as mining and property management.

Background: Research in Switzerland and elsewhere calls for valid estimations of alcohol dependence figures at the population level. As none of the methodologies developed for this purpose has proven to possess higher validity over others, this study follows the idea of methodological triangulation and compares estimates to assess their convergence. Methods: This study considers 6 standard methodological approaches to derive 17 estimates for alcohol dependence in the Swiss general population. Results: Estimates from statistics on cirrhosis mortality and from the application of external pool estimates agree with the central tendency of adjusted estimates derived using standard alcohol-related screening tools in population surveys. The number of alcohol-dependent individuals living in Switzerland is expected to be close to 250,000 (i.e. approximately 3.9% of the population aged 15 or older). Conclusion: Due to variations in estimates, it is difficult to report consistent figures for alcohol dependence at the general population level in Switzerland. Nonetheless, observation of an unambiguous central tendency and the convergence of estimates support their validity.