Haichao Dong, Siu Cheung Hui and Yulan He
The purpose of this research is to study the characteristics of chat messages from analysing a collection of 33,121 sample messages gathered from 1,700 sessions of conversations…
Abstract
Purpose
The purpose of this research is to study the characteristics of chat messages from analysing a collection of 33,121 sample messages gathered from 1,700 sessions of conversations of 72 pairs of MSN Messenger users over a four month duration from June to September of 2005. The primary objective of chat message characterization is to understand the properties of chat messages for effective message analysis, such as message topic detection.
Design/methodology/approach
From the study on chat message characteristics, an indicative term‐based categorization approach for chat topic detection is proposed. In the proposed approach, different techniques such as sessionalisation of chat messages and extraction of features from icon texts and URLs are incorporated for message pre‐processing. Naïve Bayes, Associative Classification, and Support Vector Machine are employed as classifiers for categorizing topics from chat sessions.
Findings
Indicative term‐based approach is superior to the traditional document frequency based approach, for feature selection in chat topic categorization.
Originality/value
This paper studies the characteristics of chat messages and proposes an indicative term‐based categorization approach for chat topic detection.
Details
Keywords
Wenjie Zhang, Yun Xu and Haichao Zheng
Based on the theory of customer citizenship behavior (CCB), the purpose of this paper is to explore the antecedents and consequences of investor citizenship behavior in the field…
Abstract
Purpose
Based on the theory of customer citizenship behavior (CCB), the purpose of this paper is to explore the antecedents and consequences of investor citizenship behavior in the field of crowdfunding and have an in-depth study of the interaction effect between investors’ perceptions of novelty and investors’ motivations.
Design/methodology/approach
Based on the CCB theory and self-determination theory, the authors develop hypotheses and collect questionnaire data (a sample of 226 crowdfunding investors) from crowdfunding websites to test models and get conclusions by SPSS and smartPLS 2.0.
Findings
The results indicate that internal and external motivations significantly influence investors’ citizenship behavior, which further affects investors’ stickiness intentions. Furthermore, results show that investors’ perceptions of novelty moderate the relationships between internal/external motivations and citizenship behaviors.
Originality/value
This paper offers an in-depth explanation of the citizenship behaviors in crowdfunding, which could be an example for studying the motivations of investors’ citizenship behaviors and could also serve as a starting point to introduce the stickiness intention theory of e-commerce and virtual community into crowdfunding area. In addition, this study also made an empirical analysis of how the perceived project novelty affects the relationships between investors’ motivations and citizenship behaviors.