Digitization plays a vital role in fostering economic and social development. This study empirically investigates the impact of digitization on urban industrial structures, technological innovation, public service levels, and social–ecological resilience. Various approaches, including the two-tier stochastic, spatial econometric, and panel threshold models, have been employed to analyze panel data from 287 cities from 2008 to 2023. These data are examined through a quasi-natural experiment analyzing the evolution of urban social–ecological resilience following China’s promotion of the national comprehensive pilot zone for big data. The findings are as follows. (1) The positive effects of digitization on urban social and ecological resilience substantially outweigh the negative effects, with an overall increasing trend in the positive net effect, albeit with significant regional differences. (2) Digitalization exhibits a significant spatial spillover effect, enhancing local social–ecological resilience while inhibiting improvements in neighboring cities. (3) Technological innovation and public service levels positively affect social–ecological resilience, whereas industrial structure upgrading has a negative indirect effect. Both industrial structure upgrading and public service levels demonstrate nonlinear effects under the threshold constraints of the intermediary mechanism. (4) In terms of policy mechanisms, regional differences in the urban industrial structure, innovation capacity, and public service levels must be considered. This approach is essential for promoting the organic integration of digitization across regions, mitigating the polarization effect, and enhancing the diffusion effect.

In the context of China’s community governance, as a result of the insufficient willingness and ability of residents to participate, most communities have formed a “strong political–weak social” governance structure, which limits the effective expansion of social capital. To address this challenge and promote resident participation, achieving a “strong social and political” transformation in governance structure has become a core issue in current research. Meanwhile, “sense of community” serves as a crucial perspective in this research, which remains to be deepened in domestic studies and needs to consider the impact of emerging factors such as smart technologies. This study innovatively introduces affective events theory (AET), constructing a theoretical model and taking Wuhan as an example. By adopting quantitative and case comparison research methods, the paper delves into the factors influencing Wuhan residents’ sense of community in the context of a smart society and the promoting role of smart governance. On the basis of the findings, this paper presents the following conclusions: (1) Communities should attribute equal importance to the construction of both traditional and smart environments while reinforcing the leading and participatory roles of community administrators; (2) In the community’s daily governance processes, equal focus and importance must be attributed to both service delivery and engagement; (3) Communities must acknowledge the individual distinctions among residents and implement tailored governing strategies accordingly; (4) The government should prioritize the research and development of smart applications while boosting financial investments in the creation and operation of smart communities.