Exploring the Role of Lightweight AI Tools in driving Digital Transformation among Construction SMEs: A TOE Framework Perspective
DOI:
https://doi.org/10.63808/iod.v2i4.515Keywords:
Lightweight artificial intelligence (AI), Digital transformation, Technological readiness, Data management capability, Government supportAbstract
This theoretical research discusses the potential for small and medium-sized enterprises (SMEs) in the Chinese construction sector, to break down pervasive barriers like data silos and funding constraints with the implementation of lightweight artificial intelligence (AI) technology. Based on the Technology–Organisation–Environment (TOE) theory, this research investigates three determinants of the digital transformation success, which are technological readiness, data management capability and government support, while this research proposes a research model in which the variables directly shape the success of digital transformation among construction SMEs in the capital city, Beijing. The measurement items for each construct are designed with the intention that they should be statistically validated for reliability and construct validity in actual empirical testing. The proposed framework contributes both theory and practice with the provision of an integrative understanding of the internal and external environmental determinants motivating AI-driven digital transformation. The research also provides practical suggestions for SME managers and policy planners with the aim of raising the level of digital readiness, optimising the use of data, and enhancing policy interventions in the promotion of sustainable digital innovation in the construction sector.
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