Title: A new analytic framework for identifying tour routes service innovation in e-commerce platform using knowledge graph

Authors: Shuang Zhang; Zhen Zhu

Addresses: School of Information, Renmin University of China, Beijing 100080, China ' Center for International Cooperation in E-Business, School of Economics and Management, China University of Geosciences, 68 Jincheng Street, Donghu High-tech Development Zoon, Wuhan, Hubei 430078, China

Abstract: While the growth of the tourism market has created significant market opportunities for tour routes developers to improve service innovation, it has inevitably induced other travel agencies to imitate. However, there has been little rigorous research to identify service innovation from a knowledge graph perspective. This study presents a knowledge graph framework to identify service innovations of tour routes, which can tackle the measurement challenges of knowledge representation in different dimensions. A knowledge graph-based method for service products is employed to obtain the dynamic weight of dimensions, aimed at calculating the importance of graph network nodes through knowledge extraction after division of dimensions. This study shows that the proposed approach can accurately determine the level of service innovation, providing a benchmark for exploring refined knowledge representation in products' unstructured attributes.

Keywords: service innovation; e-commerce platform; tour routes; analytic framework; knowledge graph.

DOI: 10.1504/IJNVO.2022.128451

International Journal of Networking and Virtual Organisations, 2022 Vol.27 No.3, pp.181 - 199

Received: 01 Nov 2021
Received in revised form: 27 Apr 2022
Accepted: 27 Jul 2022
Published online: 23 Jan 2023 *

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