Vincent Cho 0001

dblp:76/2262 · also Vincent W. S. Cho, Vincent Wing-Sing Cho · DBLP profile ↗
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8ranked-venue papers in the field
6as first author
2since 2021 · last 2022
0000-0003-0726-8352ORCID · verified

Domains — venue-derived; a paper can count in several

Data Mining & Knowledge Discovery · 4 (3 first)Knowledge Engineering, Semantic Web & Information Systems · 4 (3 first)
YearPublicationVenuePosition
2022 Changing Digital Age in the Wake of COVID-19: How Does Humility Impact on Virtual Leaderless Teams?
abstract
Virtual teams play a crucial role in today’s knowledge-based organisation for overcoming challenges in our dynamic world, especially in the current situation of the COVID-19 pandemic. Teams play a key role in today’s knowledge-based organization for overcoming challenges in our dynamic world. Drawing on social information processing theory, this study explores the effect of members’ humility and team environment within a leaderless team mainly based on virtual platforms. Their impacts on shared leadership, relationship conflict and team and individual performance were investigated. Surveying 219 students forming 61 virtual leaderless teams, our findings showed that a high level of humility and a positive team environment can help to improve shared leadership within a team, which contributes to team performance. Moreover, both humility and team environment have a negative relationship with relationship conflict, which depressed both team and individual performance. Our analysis also indicated that humility positively interacts with team environment on shared leadership.
Vincent Cho 0001, Lara C. Roll, Chun-Ho Wu, Valerie Tang
J. Glob. Inf. Manag.1
2021 Crowd Workers' Continued Participation Intention in Crowdsourcing Platforms: An Empirical Study in Compensation-Based Micro-Task Crowdsourcing
abstract
The micro-task crowdsourcing marketplace, as a novel platform, has provided firms with a new way to recruit employees at a reasonable cost and with a fast turnaround. This research explores how different types of motivations affect individuals’ continued participation intention in compensation-based micro-task crowdsourcing platforms. Our theoretical model builds on expectancy theory, self-determination theory, organizational justice theory and self-efficacy theory. To validate the theoretical model, over 1,000 crowd workers participating in Amazon’s Mechanical Turk completed an online questionnaire. Distributive justice and self-efficacy were applied to moderate the relationship between different types of motivations and continued participation intention. The confirmed three-way interaction effects indicated that external regulation and intrinsic motivation on continued participation intention are contingent on distributive justice and the level of self-efficacy. The findings enrich the understanding of MCS communities and provide important guidelines for motivating crowd workers.
Gabriel Shing-Koon Leung, Vincent Cho 0001, Chun-Ho Wu
J. Glob. Inf. Manag.2
2006 A study of the roles of trusts and risks in information-oriented online legal services using an integrated model
Vincent Cho 0001
Inf. Manag.1
2006 Factors in the Adoption of Third-Party B2B Portals in the Textile Industry
Vincent Cho 0001
J. Comput. Inf. Syst.1
2002 Distributed Mining of Classification Rules
Vincent Cho 0001, Beat Wüthrich
Knowl. Inf. Syst.1
1999 Combining Forecasts from Multiple Textual Data Sources
Vincent Cho 0001, Beat Wüthrich
PAKDD1
1998 Daily Prediction of Major Stock Indices from Textual WWW Data
Beat Wüthrich, D. Permunetilleke, Steven Leung, Vincent Cho 0001
KDD4
1998 Towards Real Time Discovery from Distributed Information Sources
Vincent Cho 0001, Beat Wüthrich
PAKDD1