Development of a maturity model for technology intelligence

Noh, Heeyong; Mortara, Letizia; Lee, Sungjoo

doi:10.1016/j.techfore.2023.122525

Cited by 4 publications

(1 citation statement)

References 64 publications

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“…Refs. [39,40] address the maturity topic to fill the gap in the technology adoption field and deepen the understanding of technology intelligence. In addition to the maturity models that refer to specific topics related to the phases of the DBP process, other studies give an overview of the maturity of BIM implementation in various contexts.…”

Section: Foresight Analysis and Interpretationmentioning

confidence: 99%

Digital Transformation of Building Permits: Current Status, Maturity, and Future Prospects

Ataide,

Braholli,

Siegele

2023

Buildings

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Building permits ensure construction meets codes and regulations, but the traditional permitting process is often complex and inefficient. This perspective paper examines the current state and maturity of digitizing and automating building permits. We studied current permit workflows and the recent literature to identify digitization opportunities like online portals, automated code-checking, and data integration. Most jurisdictions are only in the early digital stages, focused on implementing electronic document management and online portals. Some leading cities have piloted more advanced capabilities like automated code compliance checking, but widespread adoption lags. The greatest challenges exist around fragmented IT environments, data integration, organizational inertia, and failing to adapt to technological advancements, such as the example of AI. Achieving higher digital permitting processes requires optimized data sharing, instant feedback loops, and automation-enabled plan reviews. While pockets of innovation exist, mainstream adoption lags behind visionary potential. Realizing the future permitting paradigm demands open data standards, configurable software infrastructure, and organizational commitment to digitize end-to-end. This paper presents regulators and innovators with a perspective framework to evolve permitting towards smarter, faster, and more integrated digital systems and strategies.

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Section: Foresight Analysis and Interpretationmentioning

confidence: 99%