Equity, Equality, and Need
Digital Twin Approach for Fairness-Aware Task Assignment of Heterogeneous Crowdsourced Logistics
Bibliographic Data
| ID | 22106801 |
|---|---|
| Authors | Hargyo T N Ignatius (0000-0003-4679-067X, Multimedia Nusantara University), Rami Bahsoon (0000-0002-1139-5795, University of Birmingham) |
| Year | 2024 |
| Volume | 11 |
| Issue | 3 |
| Pages | 3420-3431 |
| Publication date | 2024-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Journal identifiers | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2023.3321940 |
| OpenAlex | W4387609266 |
| Language | EN |
| Citations received | 4 |
| References cited | 34 |
Industry 5.0 utilizes the Internet of Things (IoT) and autonomous computing to facilitate human–machine collaboration, where humans and machines coexist in a competitive economic ecosystem. In conventional workplaces, fairness is widely recognized as a driving force behind human motivation, loyalty, and productive collaboration. However, current fairness-aware task allocation methods have primarily focused on homogeneous workers, concentrating on either equity or equality as the sole fairness principle. With the rising trend of diverse worker fleets consisting of autonomous robots/vehicles and human-in-the-loop as service providers (e.g., crowdsourced logistics), novel approaches are necessary. Our contribution entails a fairness-aware task allocation approach for heterogeneous workers, leveraging the digital twin to understand the system’s behavior and facilitate real-time adaptation. Our proposed solution considers equity, equality, and need, utilizing the maximum-weight bipartite matching algorithm. Multiple incentive scenarios are utilized to evaluate the potential of the approach. The experimental results suggest that our multi-objective approach yields better overall fairness in various scenarios than the baselines
Business · Digital ecosystem · Economics · Equity theory · Human-in-the-loop · Human–computer interaction · Incentive · Knowledge management · Loyalty · Microeconomics · Operations research · Blockchain Technology Applications and Security · Computer Science · Digital Transformation in Industry · Engineering · Mobile Crowdsensing and Crowdsourcing · Marketing
Dictionary of the Social Sciences
A fast and elitist multiobjective genetic algorithm
Distributive Justice, Theories of
The Need Principle of Distributive Justice
Extortion and Cooperation in Rating Protocol Design for Competitive Crowdsourcing
Solving Last-Mile Logistics Problem in Spatiotemporal Crowdsourcing via Role Awareness With Adaptive Clustering
Fair compensation of crowdsourcing work
Measurement of income inequality
A Theory of Fairness, Competition, and Cooperation
Equity, Equality, and Need
| Citations per year | 4 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |