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The “problem-ridden present” is indubitably related to the prevalence of neoliberalism, but it is also when the fifth technological revolution took place. In this special time, what should be done to achieve the coupling of Socio-political Paradigmand Technoeconomic Paradigm through the adaptive transformation of socio-political paradigm to avoid the resurfacing of the “problem-ridden present”?

The obvious difference between the efficacy of the fifth technological revolution and the previous four indicates that the Techno-economic Paradigm of Neo-Schumpeterian school is not sufficient enough to explain the institutional obstacles. No matter institutional or technological, any single perspective would not be adequate to explain the fundamental cause of the “problem-ridden present”.

From a historical materialism standpoint, the structure and progress of the techno-economic paradigm are inevitably influenced by the socio-political paradigm, and only when the techno-economic paradigm and the socio-political paradigm are coupled, the potential of the wave of technological revolution can be “shared release.”

The coupling analysis of the Socio-political Paradigm and the Technoeconomic Paradigm is of great enlightening value to the understanding of the economic development in the Digital Economy era.

Quality failures in grid infrastructure construction would cause large-scale collapses in power supply and additional expenditures by reworks and repairs. Learning from quality failures (LFQF) extracts experience from previous quality events and converts them into preventive measures to reduce or eliminate future construction quality issues. This study aims to investigate the influence factors of LFQF in the construction of grid infrastructure.

The related factors of LFQF, including quality management (QM) practices, quality rectification, and individual learning, were identified by reviewing literature about organizational learning and extracting experience from previous failures. A questionnaire survey was distributed to the grid companies in North, Northeast, Northwest, East, Central, and Southwest China. 381 valid responses collected and analyzed using structural equation modeling (SEM) to test the influence of these factors on LFQF.

The SEM results support that QM practices positively affect individual learning and LFQF. Quality rectification indirectly impacts LFQF via individual learning, while the results did not support the direct link between quality rectification and LFQF.

The findings strengthen practical insights into extracting experience from poor-quality issues and continuous improvement. The contributory factors of LFQF found in this study benefit the practitioners by taking effective measures to enhance organizational learning capability and improve the long-term construction quality performance in the grid infrastructure industry.

Existing research about the application of LFQF still stays at the explorative and conceptual stage. This study investigates the related factors of LFQF, including QM practices, quality rectification, and individual learning, extending the model development of learning from failures (LFF) in construction QM.