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The COVID-19 pandemic has profoundly impacted small and medium-sized enterprises (SMEs), inherently vulnerable entities, prompting a pivotal question of how to enhance SMEs’ organizational resilience (OR) to withstand discontinuous crises. Although digital innovation (DI) is widely acknowledged as a critical antecedent to OR, limited studies have analyzed the configurational effects of DI on OR, particularly stage-based analysis.

Underpinned by the dynamic capabilities view, this study introduces a multi-stage dynamic capabilities framework for OR. Employing Latent Dirichlet Allocation (LDA), digital product innovation (DPI), digital services innovation (DSI) and digital process innovation (DCI) are further deconstructed into six dimensions. Furthermore, we utilized fuzzy-set qualitative comparative analysis (fsQCA) to explore the configuration effects of six DI on OR at different stages, using data from 94 Chinese SMEs.

First, OR improvement hinges not on a singular DI but on the interactions among various DIs. Second, multiple equivalent configurations emerge at different stages. Before the crisis, absorptive capability primarily advanced through iterative DPI and predictive DSI. During the crisis, response capability is principally augmented by the iterative DPI, distributed DCI, and integrated DCI. After the crisis, recovery capability is predominantly fortified by the iterative DPI, expanded DPI and experiential DSI. Third, iterative DPI consistently assumes a supportive role in fortifying OR.

This study contributes to the extant literature on DI and OR, offering practical guidance for SMEs to systematically enhance OR by configuring DI across distinct stages.

The operational carbon simulation in the building design stage is significant to life cycle carbon emissions. However, this process is challenging to reuse multi-source building information modeling (BIM) under different information availability. Thus, this study suggests an OpenBIM-based method for operational carbon simulation to integrate heterogeneous BIM models with different data accuracy, which can be applied across various stages of building design.

This study suggests a three-step method for operational carbon simulation using industry foundation classes (IFC). This method uses IfcSpace as the fundamental unit for limited data while using IfcDistributionElement for abundant data. Additionally, a case study proves the method's accuracy and efficiency by comparing it with existing tools.

Although the information availability is different, the simulation results of operational carbon are similar between schematic design and construction document design, with 1816.4 tCO2e/year and 1962.4 tCO2e/year, respectively. Furthermore, the case study shows a 16.9% carbon reduction through scheme optimization.

This study offers an approach that can directly utilize the multi-source heterogeneous BIM models to save time and reduce labor consumption. Using the space and the element as calculation units extends the simulation theory for evolving information accessibility across design stages.