物流運輸產業數位轉型創新商業模式之研究—以T公司為例

Abstract

本研究旨在探討物流運輸產業在數位轉型過程中的創新商業模式，以T公司為例進行案例分析。通過文獻探討與實際案例研究，本研究分析了物流運輸產業的數位轉型背景、挑戰及其帶來的機遇。研究顯示，全通路的發展及全球缺工問題促使物流運輸產業加速數位轉型，運用軟體系統、物聯網、大數據分析和人工智慧等技術提升營運效率和客戶滿意度。 T公司創立於2017年，深耕台灣車聯網軟體應用服務，與許多知名集團公司合作。近年來，T公司專注於發展針對物流的垂直領域SaaS軟體，並在2023年獲得Pre-A輪投資。目前，該公司除了持續推廣物流運輸管理系統產品外，還積極佈局物流運輸服務及物流生態圈。 本研究運用PEST分析探討物流運輸業數位轉型的大環境，並用價值網模型物流運輸業數位轉型產業鏈上的供應鏈及競合關係。通過資源基礎理論說明個案公司所具備的能力資源等優勢，並通過價值主張和顧客訪談分析個案公司產品與顧客需求的適配性。此外，本研究探討了個案的商業模式及其產業生態圈，並在研究最後提出了個案公司及產業未來發展的趨勢和建議。

This study aims to explore innovative business models in the digital transformation process of the logistics and transportation industry, using company T as a case study. Through literature review and actual case studies, this research analyzes the background, challenges, and opportunities brought by digital transformation in the logistics and transportation industry. The study shows that the development of omnichannel and global labor shortages have accelerated the digital transformation of the logistics and transportation industry, leveraging software systems, the Internet of Things (IoT) , big data analytics, and artificial intelligence to improve operational efficiency and customer satisfaction. Company T, founded in 2017, specializes in IoT software application services in Taiwan, collaborating with many well-known enterprises. In recent years, company T has focused on developing vertical SaaS for the logistics and obtained Pre-A round investment in 2023. Currently, the company not only continues to promote its transportation management system products but also actively deploys logistics and transportation services and the logistics ecosystem. This study uses PEST analysis to explore the environment of digital transformation in the logistics and transportation industry and employs value net analysis to examine the supply chain and competitive relationships within the industry. It also uses resource-based theory to explain the capability resources and advantages of the case company and analyzes the fit between the case company's products and customer needs through value propositions and customer interviews. Furthermore, this study investigates the business model and industrial ecosystem of the case and concludes by proposing trends and suggestions for the future development of the case company and the industry.