從價格競爭到績效導向:應用 BWM-mV 模型建構公寓大廈設施營運維護委外之 ESG-KPI 評選策略
価格競争からパフォーマンス志向へ:BWM-mVモデルを用いたマンション施設運営維持管理の外部委託におけるESG-KPI選定戦略 (AI 翻訳)
郭進泰 郭進泰, 黃三翁 黃三翁, 高秉毅 高秉毅
🤖 gxceed AI 要約
日本語
本研究は、マンション管理組合が施設運営維持管理の外部委託先を選定する際、価格のみに依存しないESG-KPI指向モデルを提案。BWMと修正VIKORを用いて22の指標を評価し、非財務価値(革新性、評判)が価格より重要であることを示した。AIやクラウド技術の活用も推奨している。
English
This study proposes an ESG-KPI-oriented selection model for condominium facility O&M outsourcing, using BWM and modified VIKOR. Based on expert interviews and a survey of 30 committee members, non-financial values such as innovation and reputation ranked above price. The authors suggest a dual-track strategy and recommend AI and cloud-based technologies.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のマンション管理組合でも、委託先選定は価格競争になりがち。SSBJやESG開示が進む中、本モデルは建物運用段階のESG評価に寄与しうるが、サンプル規模が小さく日本への直接適用には追加検証が必要。
In the global GX context
While the paper focuses on Taiwanese condominiums, its ESG-KPI framework for procurement decisions is relevant globally as buildings face increasing ESG scrutiny. The emphasis on innovation and technology aligns with net-zero building operations, though the exploratory nature limits generalizability.
👥 読者別の含意
🔬研究者:Provides a method (BWM-mV) for integrating ESG criteria into procurement decisions, applicable to other building types and regions.
🏢実務担当者:Offers a dual-track selection strategy (screening + scoring) that condominium committees can adapt to improve service quality and asset lifecycle management.
📄 Abstract(原文)
都市公寓大廈管委會辦理設施營運維護委外時,常因資訊不對稱而陷入以「價格」為單一標準之採購困境,造成服務品質不穩與建築資產維護失靈。本研究引入服務主導邏輯與ESG框架,以最佳-最差方法(BWM)結合修正型VIKOR(mV)建構「ESG-KPI導向」之設施運維委外評選模型;透過專家訪談萃取22項在地化指標、估算權重與績效差距,並以30位管委會成員進行探索性外部效度檢視。結果顯示,非財務價值(如創新能力、形象與商譽)之重要性排序高於價格,決策呈現由成本導向朝績效導向調整之傾向;惟此係基於探索性樣本,尚未充分控制物管市場之成本僵固性,應解讀為方向性初步證據而非完整驗證之結論。重要性-差距分析(IGA)進一步診斷「創新能力」與「形象與商譽」為核心缺口。據此,本研究提出「門檻審查+加權評分」之雙軌制評選策略,並建議納入AI智慧客服、雲端工單等科技方案,以提升服務回應效率、緩解人力限制。就建築學門而言,本文將委外評選連結至建築營運階段之生命週期治理、設備妥善率維持與建築延壽決策,其中科技賦能係連結評選結果與建築物理性能之重要機制。Urban condominium committees often face information asymmetry when procuring outsourced facility operation and maintenance (O&M) services, which drives price-only decisions and may undermine service quality and asset upkeep. Integrating Service-Dominant Logic with an ESG framework, this study develops an ESG-KPI-oriented selection model combining the Best–Worst Method (BWM) with a modified VIKOR (mV). Based on expert interviews, 22 localized indicators were identified to estimate weights and performance gaps, and external validity was explored through a survey of 30 committee members. Results indicate that non-financial values (e.g., innovation capability and reputation/image) ranked above price, suggesting a directional shift from cost to performance orientation. However, this shift rests on an exploratory sample without fully controlling for cost rigidity, and should be read as directional, preliminary evidence rather than a validated conclusion. Importance–Gap Analysis (IGA) identifies “Innovation Capability” and “Reputation and Image” as the most critical gaps. Accordingly, we propose a dual-track strategy combining eligibility screening and weighted scoring, and suggest incorporating technological options—such as AI-enabled customer service and cloud-based work-order systems—to improve response efficiency and alleviate labor constraints. From an architectural perspective, the study links outsourcing evaluation to building lifecycle governance, equipment serviceability, and life-extension decisions during the operation stage. In particular, technological enablement serves as a key mechanism linking selection outcomes to the building’s physical performance.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.53106/101632122026060136004first seen 2026-07-18 08:23:52
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。