Q
Qiong Jia
Researcher at Hohai University
Publications - 22
Citations - 958
Qiong Jia is an academic researcher from Hohai University. The author has contributed to research in topics: Context (language use) & Continuance. The author has an hindex of 10, co-authored 21 publications receiving 637 citations. Previous affiliations of Qiong Jia include Korea University.
Papers
More filters
Journal ArticleDOI
Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation
TL;DR: This paper identifies the key dimensions of customer service voiced by hotel visitors use a data mining approach, latent dirichlet analysis (LDA), which uncovers 19 controllable dimensions that are key for hotels to manage their interactions with visitors.
Journal ArticleDOI
Enterprise 2.0 post-adoption: Extending the information system continuance model based on the technology-Organization-environment framework
TL;DR: The research findings show that organizational and environmental context factors, including subjective norms and competitive pressure, significantly influence enterprises' intentions to renew their E2.0 service in addition to technology perceptions.
Journal ArticleDOI
Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework.
TL;DR: In this paper, a review and framework of the application of big data in the fight against major public health incidents such as COVID-19, which would be a helpful reference for governments.
Journal ArticleDOI
An improved particle swarm optimization for the resource-constrained project scheduling problem
Qiong Jia,Yoonho Seo +1 more
TL;DR: The proposed PSO algorithm treats the solutions of RCPSP as particle swarms and employs a double justification skill and a move operator for the particles, in association with rank-priority-based representation, greedy random search, and serial scheduling scheme, to execute the intelligent updating process of the swarms to search for better solutions.
A Conceptual Artificial Intelligence Application Framework in Human Resource Management
TL;DR: This AIHRM conceptual model provides suggestions and directions for the development of AI in enterprise human resource management and the practical implication and future study are supplemented.