aceA Dual-Channel Model of Artificial Intelligence Adoption Intention Among Executives of Traditional-Industry SMEs: Perceived Value, Perceived Implementation Risk, and the Boundary Condition of Digital Foundation
**A Dual-Channel Model of Artificial Intelligence Adoption Intention among Executives of Traditional-Industry SMEs: Perceived Value, Perceived Implementation Risk, and the Boundary Condition of Digital Foundation** **Weixiang Gan** Post Doctorate Researcher, Lincoln University College, 47301 Petaling Jaya, Malaysia **Qiaoran Liu** Agriculture and Rural Affairs Bureau of Yindu District, Anyang City 455000, China **Mengfei Xiao** Post Doctorate Researcher, Lincoln University College, 47301 Petaling Jaya, Malaysia…
Peer demonstration and subsidies do not move these executives, because the risk of implementing AI is one they cannot absorb, even where they see value in it.
The design is cross-sectional, so the estimates are associational and the ordering of constructs rests on theory rather than on temporal precedence. The moderation terms also add very little explained variance.
Evidence
- Peer-reviewedBusiness Management Perspectives2026-10-16
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Truvace Impact Record TRV-2026-1765, v1: “A Dual-Channel Model of Artificial Intelligence Adoption Intention Among Executives of Traditional-Industry SMEs: Perceived Value, Perceived Implementation Risk, and the Boundary Condition of Digital Foundation.” Truvace, 2026-10-18. /record/TRV-2026-1765 (accessed at citation time). sha256 3178eeeab98df1a7…
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