2022
DOI: 10.1111/poms.13822
|View full text |Cite
|
Sign up to set email alerts
|

Managing contributor performance in knowledge‐sharing communities: A dynamic perspective

Abstract: Knowledge sharing has become an important practice in the era of knowledge economy. This paper concerns the management of contributor performance in social knowledge‐sharing communities. Based on ability‐motivation‐opportunity theory, we propose a hidden Markov model to characterize the change in a knowledge contributor's latent state, which then determines the performance of knowledge sharing in terms of quantity and quality. The proposed model is calibrated using data from a social question‐and‐answer commun… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 9 publications
(1 citation statement)
references
References 72 publications
0
1
0
Order By: Relevance
“…(2022) identifies the sales implications resulting from sales representatives' contributions. Chen et al (2022) study the implications of employee involvement in an internal online community on their turnover, and Jin et al (2022) characterize knowledge contributors in latent states (unmotivated, exploratory, and sophisticated) to study the performance of knowledge sharing in terms of quantity and quality.…”
Section: Production and Operations Managementmentioning
confidence: 99%
“…(2022) identifies the sales implications resulting from sales representatives' contributions. Chen et al (2022) study the implications of employee involvement in an internal online community on their turnover, and Jin et al (2022) characterize knowledge contributors in latent states (unmotivated, exploratory, and sophisticated) to study the performance of knowledge sharing in terms of quantity and quality.…”
Section: Production and Operations Managementmentioning
confidence: 99%