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The new product idea decay curve can be extended as an effective decision model for new product selection and identification of customer benefits. This model can be extended beyond its traditional descriptive role product selection parameters applicable to each phase of idea decay. It is argued that the extended model should be applicable to specific product lines as well as a company′s overall product offering. An extension of previous models is proposed to facilitate a quantitative representation of the shape and causative factors associated with individual and composite idea decay curves.

Nowadays, designing environmentally compatible buildings with acceptable performance in terms of cost, materials, and energy efficiency is considered crucial for developing sustainable cities. This research aims to identify and rank the most influential factors in the application of Building Information Modeling (BIM) systems in the smartification of green and sustainable buildings.

The present research is applied and descriptive. In this study, we identified the most influential factors in the application of Building Information Modeling (BIM) systems through library studies and expert opinions. Data were collected using a questionnaire, and a combination of the one-sample t-test method with a 95% confidence level and the fuzzy VIKOR method was employed for analysis.

The results show that the most influential factors in the application of Building Information Modeling (BIM) systems in the Smartification of green and sustainable buildings, in order, are: “Energy saving and consumption reduction,” “Increased productivity and efficiency,” “Life-cycle assessment (LCA),” “Eco-friendly design,” “Integration with IoT and other technologies.”

In this study, while addressing the intersection of BIM technology, green building principles, and smart building objectives to optimize the performance of buildings during their life cycle, the most influential factors in the use of this system were ranked based on the criteria of “impact level,” “importance level,” and “availability of necessary tools” for implementation in Kerman. Moreover, solutions for more effectively utilizing this system in the smartification of green and intelligent buildings were proposed.

The purpose of this research is to develop a building information modelling (BIM)-enabled sustainable design process model that identifies critical decisions actions in the design process along with the information and level of detail that facilitate an informed and timely decision. Building performance analysis is usually performed after the design and construction documents are produced, resulting in lost opportunities.

A number of research methods have been adopted; these include extensive literature review and 11 in-depth exploratory interviews with industry practitioners (sustainable building design experts, early BIM adopters).

Project delivery methods have a significant effect on the sustainable outcome of buildings. The development of a structured process can assist sustainable design practice among building professionals. Learning from implemented projects, that have utilised BIM processes, facilitates the scope of creating this process and advises future projects to prevent failures. Process mapping is essential to streamline the process, support key project processes and help the design team manage their own responsibilities and deliverables required by them.

The identification of the gap and the need for a structured process for sustainable building design for BIM execution is discussed. The synergies that exist between BIM, building performance modelling, Building Research Establishment’s Environmental Assessment Method assessment and the Royal Institute of British Architects Plan of Work are shown. The effect that project delivery has on sustainable design outcome has been established. A coordinated collaborative design process model is presented based on the findings from interviewing early adopters.