Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis

In this study, we utilize a kernel theory of knowledge adoption model and propose a novel text analytic framework to classify the usefulness of solutions in online knowledge communities. The study combines multiple disciplines (behavioral, empirical, design science, and technical) to tackle an impor...

Full description

Saved in:
Bibliographic Details
Published in:Information systems research 2020-09, Vol.31 (3), p.731-752
Main Authors: Liu, Xiaomo, Wang, G. Alan, Fan, Weiguo, Zhang, Zhongju
Format: Article
Language:English
Subjects:
argument quality
Feature extraction
information usefulness
Knowledge
Knowledge management
Knowledge sharing
online knowledge community
Performance evaluation
Repositories
Science
Social networks
Software
source credibility
text mining
theory-driven design science
Virtual communities
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!