Applying Online Review Mining to Develop Sharing Economy Based Logistic Services
|關鍵字:||共享經濟;文字探勘;最後一哩物流服務;感性工學;sharing economy;Text Mining;last mile logistic services;Kansei Engineering|
Around the world, electronic commerce continues to grow. Because of the huge business opportunity in e-commerce so that the needs of direct delivery increased significantly. The industry of last mile logistics is facing a stage of competing with each other. In addition to traditional last mile logistics a number of sharing economy based last mile logistic services have emerged which working by crowdsourcing. In order to reduce the waste of idle resources, the online platform or app of the service enable customers who matched their demand and the supply from the idle deliver. Also it can achieve a more efficient way in last mile logistics. The services and the customer’s feeling provided by services both not only affect the customers’ review but the others decisions in the logistics planning. Today, more customers refer to reviews left by individuals who have previously purchased the product to guide their buying decisions before they use the service or product. So the logistics service industry also attaches great importance to customer's online reviews. This research based on service design and integrated Kansei Engineering and text mining to design sharing economy based last mile logistics service. Kansei Engineering can transform customer’s kansei into real product or service property. Text mining technology can reduce the time and labor cost of traditional Kansei Engineering. Finally, find out the rule of sharing economy logistic service to suggest logistic industry join new elments or improve the existing services, and provide managers as a basis for strategic reference.