Abstract
Smart Manufacturing Technologies (SMTs) can significantly improve productivity, flexibility, and sustainability. However, due to limited resources and the socio-technical complexity of adoption, manufacturers need to prioritize SMTs strategically. Prior approaches are predominantly outcome-oriented, overlooking the potential users of SMTs in the prioritization. To address this gap, this study proposes an approach from the Task–Technology Fit (TTF) perspective. Specifically, fuzzy Analytic Hierarchy Process (AHP) is used to derive strategic priorities, while fuzzy Quality Function Deployment (QFD) maps these to the importance of different operational tasks in manufacturing. Fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) then ranks SMT alternatives’ contributions to each task, weighted by estimated performance metrics informed by user experience. Considering the strategic and operational fit at the task level, the proposed approach is expected to enhance the practical relevance and adoption feasibility of SMT prioritization. A case study will validate the approach.
Recommended Citation
Liu, Fei; Zhou, Honghui; Jafarzadeh, Hamed; Jiang, Zilin; and Liu, Qian, "A Task-Technology Fit Approach for Prioritizing Smart
Manufacturing Technologies" (2025). ACIS 2025 Proceedings. 19.
https://aisel.aisnet.org/acis2025/19