The research performs a comprehensive analysis of the existing most widely used international and local construction classification system application practices, to identify the main benefits or problematic aspects of their application in the context of BIM. The research estimates the time and cost resources required to classify the standard BIM model in the three selected classification systems - Uniclass 2015, CCI and LBN 501-17, thus identifying the time and costs to be considered when classifying or reclassifying BIM models in different classifica-tion systems. The novelty and added value of the study are the empirical evi-dence obtained for scientists and policymakers on the comparative characteris-tics of classification systems and the time and cost resources required to apply them to national building digitization policies.
Learning for product innovation in sustainable business within bioeconomy rapidly growing context has become one of the most important components of management educational models. Significant public support in EU countries goes to innovation training for companies. At the same time, many failed product innovations are entering the markets. Consumer market measurements indicate that 86% to 94% (Salkovska et al., 2018) of all innovations are commercially unsuccessful. Creating innovation is a resource intensive process. A high innovation failure rate is a significant loss not only to companies, but to the EU economy as a whole and its competitiveness. The high share of commercially unsuccessful innovations in markets points to areas for improvement in existing innovation education models. A better understanding of the components of successful product innovation will help to lead to improved business training models and therefore more productive bioeconomy and sustainability. The research analyses the components of commercially successful innovations. The most important components that determine the success of innovation are related to the consumption of innovation, the ideological values of innovation and the starting positions of innovation. The aim of the study is to identify the key components that make up commercially successful innovations so that they can be given in-depth attention in training models, thus enhancing the proportion of commercially successful innovations among organizations. The study uses the assessment of 63 innovation experts. Quantitative and qualitative methods of secondary and primary data processing have been used.
Research provides the new modular construction cost and volume forecasting design. The research aim is to further improve the quality of construction forecasting systems. The new combined methodology of the study was developed in 2018 and it was approbated for 3 years in Latvia. The methodology is modular - it includes the use of both statistical and expert methods as well as a combination of methods. The quantitative data array consists of statistical data blocks by historical changes in the costs and the volume of construction sub-sectors. Based on the improved methodology, the 2020 projections differed from the actual changes in 2020 by 0.4 percentage points in volume and 1.4 percentage points in costs in the context where changes over the last decade have fluctuated in double-digit ranges. The results of the study identify high-precision construction cost and volume methodology.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.