Factors Influencing the Bid‐Winning of Respondents in the Context of Crowdsourcing

ABSTRACT This article takes crowdsourcing as the research background, collects secondary data from the Yipin Freelancer website, constructs panel data of “respondent–date,” and uses the research framework of the elaboration likelihood model (ELM) to study the key factors influencing the bid‐winning probability of respondents. The study found that for the central path, there is a nonlinear inverted U‐shaped relationship between the respondents' success experience and skill diversity and the bid‐winning probability. For the peripheral path of task settings, the study found that a larger task bonus, more bonus recipients, and longer task deadlines are beneficial for respondents to win bids successfully. Finally, this article discusses the theoretical and practical significance of the research.

Authors

Institutions

Publication Details

Journal
Managerial and Decision Economics
Published
2024-11-03
DOI
https://doi.org/10.1002/mde.4426
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Influencing the Bid‐Winning of Respondents in the Context of Crowdsourcing

Yanjing Xu, Yue Lu
Managerial and Decision Economics
Technology Adoption and User Behaviour
article

Factors Influencing the Bid‐Winning of Respondents in the Context of Crowdsourcing

Yanjing Xu, Yue Lu
article en

Abstract

ABSTRACT This article takes crowdsourcing as the research background, collects secondary data from the Yipin Freelancer website, constructs panel data of “respondent–date,” and uses the research framework of the elaboration likelihood model (ELM) to study the key factors influencing the bid‐winning probability of respondents. The study found that for the central path, there is a nonlinear inverted U‐shaped relationship between the respondents' success experience and skill diversity and the bid‐winning probability. For the peripheral path of task settings, the study found that a larger task bonus, more bonus recipients, and longer task deadlines are beneficial for respondents to win bids successfully. Finally, this article discusses the theoretical and practical significance of the research.

Managerial and Decision EconomicsVol. 46(2)
Hebei Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 78%
Technology Adoption and User Behaviour
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.