Taiwan is entering a super-aged society by 2025, with
over 23% of its population projected to be aged 65 or older by 2030. This
demographic shift is intensifying labor shortages across key industries, while
middle-aged and older workers remain underutilized due to digital exclusion,
rigid employment structures, and age-based discrimination. This study examines
the feasibility of a DEI-oriented, task-based employment platform designed to
bridge the gap between aging labor supply and industry demand. Drawing on a
mixed-methods approach, we developed a conceptual socio-technical model,
conducted a literature synthesis, and implemented a field prototype in two
sectors—eldercare and municipal logistics. Quantitative data from 32
participants and qualitative interviews with employers indicate that the
platform enhanced job matching efficiency, improved user self-efficacy, and
reduced staffing stress, particularly in industries with higher job modularity.
However, institutional misalignment, onboarding friction, and trust gaps remain
significant barriers. The findings underscore that technological interventions
must be coupled with policy reform, industry-specific adaptation, and sustained
digital literacy support. This study contributes to the discourse on inclusive
platform governance and offers actionable insights for policymakers, platform
developers, and industry leaders seeking to address labor shortages in aging
economies.
