Network Position and Crowdsourcing Innovation Contribution Behavior: The Moderating Role of Knowledge Absorption Capacity

Table 2

The measurement of each research variable.

Variable type	Variable name	The measurement of the variable	References
Dependent variables	Knowledge acquisition capacity	The number of posts that users actively publish and are officially recognized or widely followed by other users in a specific period	Atuahene-Gima et al [39]; Nambisan and baron [16]; Mahr and Lievens [17]; Qin et al. [18]
	Knowledge application capacity	The number of users’ answers, comments, and opinions on other users’ opinions
Independent variables	Degree centrality	The number of other users who have direct contact with the user	Liu [38]
	Eigenvector centrality	The comprehensive value of the user’s centrality in contact with the user	Bonacich [25]
	Structural hole	The common factors of constraint and hierarchy	Burt [40]
Mediator variable	Proactive contribution behavior	The number of stable information sources established through frequent interaction	Tsai [11]; Qian et al. [3]; Qin et al. [18]
	Responsive contribution behavior	The number of posts by users, including knowledge-sharing posts and innovative application posts