店配物流是臺灣網路書店最重要的物流配送系統，本文以研究個案K為分析對象，經由文獻回顧並以層級架構分析法建構網路書店對墊配物流的評估模型。經由文獻與訪談所建構的AHP評估模型包含物流、商流以及資訊流等三項構面，每個構面包含三像評估準則。透過專家問卷進行資料收集，進一步以AHP計算每個評估準則的權重數值後，發現「店配速度的承諾」、「物流資訊的即時性」以及「物流資訊的正確度」是評估店配物流系統最重要的三項關鍵因子。此外，資訊部門最重視的評估準則是「物流資訊的穩定性」，物流部門最重視的評估準則是「店配速度的承諾」，客服部門最重視的評估準則是「物流資訊的即時性」，行銷部門最重視的評估準則是「行銷活動的資源」，而在獲得兩個部門同時認同的部分則有「取貨地點的便利性」、「物流資訊的正確度」」、「店配速度的承諾」等三項，因此建議店配物流業者應根據這些因子進行店配物流系統的優化。 Retailing delivery service is the most important logistics distribution system for online bookstores in Taiwan. This article takes the case study K as the analysis object and constructs an evaluation model of online bookstores format distribution logistics through literature review and hierarchical analysis. The AHP evaluation model constructed through literature and interviews includes three dimensions: logistics, business flow, and information flow. Each dimension contains three-image evaluation criteria. After collecting data through expert questionnaires, and further calculating the weight value of each evaluation criterion with AHP, it is found that “the promise of store distribution speed”, “the real-timeliness of logistics information” and “the accuracy of logistics information” are used to evaluate the store distribution logistics system The three most important key factors. In addition, the most important evaluation criterion of the information department is “the stability of logistics information”, the most important evaluation criterion of the logistics department is “the promise of store delivery speed”, and the most important evaluation criterion of the customer service department is “the immediacy of logistics information.” The most important evaluation criterion of the marketing department is “resources of marketing activities”, and the parts that have been recognized by both departments at the same time include “convenience of pickup location”, “accuracy of logistics information”, and “speed of store distribution”. “Commitment” and other three items, so it is recommended that the store distribution logistics industry should optimize the store distribution logistics system based on these factors.
