Abstract The new platform of academic social networks has been receiving extensive attention. To enhance the user??s information quality experience, platform service providers have implemented different control measures for the user-generated contents. Based on the theory of service quality evaluation, this study investigates the status of perceived information quality of academic social networks in 72 countries around the world. A total of 512 valid questionnaires empirically test the relationships between platform factors through partial least squares analysis, considering both the moderating effect of members?? social capital and the mediating effect of information quality experience, to reveal the user perception and judgment process of the platform controls. Research shows that ① platform reputation, management rules, and technical diagnostic factors can positively affect the information quality experience by varying degrees (βplatform reputation-information quality = 0.37; βmanagement rules-information quality = 0.16; βtechnical diagnostic-information quality = 0.23), and platform reputation also has a certain impact on the information quality expectations (βplatform reputation-information quality expectation=0.52). ② Individual needs also affect the information quality expectations (βindividual needs-information quality expectation = 0.12). However, the past experience of individuals does not show a direct effect on the information quality expectation in this study. ③ The influence of social capital on the relationship between information quality experience and perceived information quality has an interfering effect (βmoderating effect = -0.65); ④ Information quality experience has different degrees of partial mediation effects in the process of platform reputation and management rules, affecting users?? perceived information quality; however, no intermediate effect is observed in the technical diagnosis.
Zhang Ning,Yuan Qinjian,Zhu Qinghua. Impact of Academic Social Network Platform Control on User Perceived Information Quality: An Empirical Study from ResearchGate Global Users[J]. 情报学报, 2020, 39(8): 829-844.
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