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Usefulness, incentives and knowledge management
Govind S. Iyer
, Suryanarayanan Ravindran
Business, The W.A. Franke College of (CoB)
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
Overview
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Keyphrases
Knowledge Sharing
100%
Knowledge Use
100%
Ambiguity Tolerance
100%
Incentive Schemes
100%
Knowledge Management
100%
Knowledge User
100%
Incentive Management
100%
Design Methodology
50%
Intolerant
50%
Intention to Use
50%
Implications for Practice
50%
Joint Decision
50%
Knowledge Management System
50%
Individual Tolerance
50%
Personal Characteristics
50%
Endogeneity
50%
Knowledge Contribution
50%
Incentive Mechanism
50%
Student Subjects
50%
Incentive System
50%
Knowledge Objects
50%
Computer Science
Knowledge Object
100%
Knowledge Management System
100%
Incentive Mechanism
100%
Knowledge Management
100%
Personal Characteristic
100%
Knowledge-Sharing
100%
Engineering
Fits and Tolerances
100%
Joints (Structural Components)
100%
Knowledge Management
100%
Design of Experiments
50%
Limitations
50%
Psychology
Tolerance of Ambiguity
100%
Intention
100%
Practitioners
50%
Endogeneity
50%
Social Sciences
Knowledge Management
100%
Incentive
100%
Intention
25%
Consumers
25%
Knowledge Sharing
12%
Incentive System
12%
Knowledge Management System
12%
Economics, Econometrics and Finance
Incentives
100%
Knowledge Management
100%