Monetary rewards or comment recognition? The difference between the two types of feedback in online Q&A community DOI
Jinpeng Liu, Xinmiao Li,

Xipeng Liu

et al.

Information Technology and People, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Purpose An in-depth exploration of difference in the motivational effects various types feedback can better address challenges faced by knowledge contributions. Drawing upon self-determination theory (SDT), this study examines relative asker monetary rewards and peer comment recognition short term, heterogeneous across different social status levels their long-term impact over time. Design/methodology/approach Based on panel data from an online financial Q&A community, employs a fixed-effects Poisson regression for empirical analysis. In addition, it also conducts instrumental variable series robustness tests. Findings The results indicate following: (1) Peer has positive effect contributions, whereas have negative impact. (2) short-term, is stronger, but changes as user increases. (3) There no evidence offsetting between recognition. (4) both continuous contributions decreases time, influence latter lasts longer. Originality/value Previous studies focused primarily direct effects. This research explores differences external incentives examining sources, timing feedback, providing more comprehensive understanding mechanisms that drive contribution. It offers valuable insights management communities.

Language: Английский

AI anxiety and knowledge payment: the roles of perceived value and self-efficacy DOI Creative Commons
Jinsong Chen, Miao He,

Sun Jin-hua

et al.

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: March 6, 2025

The integration of Artificial Intelligence (AI) into daily life raises significant challenges and uncertainties, notably concerning job security skill relevance. This has led to the emergence 'AI anxiety'-a stress response potential impacts AI on individuals' futures. study examines anxiety's effects willingness pay for knowledge, focusing roles perceived value self-efficacy. consisted two experiments. Study 1 utilized a one-factor between-subjects design (AI anxiety vs. neutral emotion) with 297 participants examine mediating role in relationship between knowledge. 2 employed × emotion )×self-efficacy (high low) 506 investigate moderating effect self-efficacy this relationship. showed that significantly increases partially effect. demonstrated moderates influence anxiety: higher levels weaken, whereas lower strengthen, Furthermore, also negatively value. positively influences payment critical These findings offer new framework understanding impact consumer behavior provide actionable insights platforms policymakers.

Language: Английский

Citations

0

Monetary rewards or comment recognition? The difference between the two types of feedback in online Q&A community DOI
Jinpeng Liu, Xinmiao Li,

Xipeng Liu

et al.

Information Technology and People, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Purpose An in-depth exploration of difference in the motivational effects various types feedback can better address challenges faced by knowledge contributions. Drawing upon self-determination theory (SDT), this study examines relative asker monetary rewards and peer comment recognition short term, heterogeneous across different social status levels their long-term impact over time. Design/methodology/approach Based on panel data from an online financial Q&A community, employs a fixed-effects Poisson regression for empirical analysis. In addition, it also conducts instrumental variable series robustness tests. Findings The results indicate following: (1) Peer has positive effect contributions, whereas have negative impact. (2) short-term, is stronger, but changes as user increases. (3) There no evidence offsetting between recognition. (4) both continuous contributions decreases time, influence latter lasts longer. Originality/value Previous studies focused primarily direct effects. This research explores differences external incentives examining sources, timing feedback, providing more comprehensive understanding mechanisms that drive contribution. It offers valuable insights management communities.

Language: Английский

Citations

0