A Bayesian Best-Worst Method-Based Multicriteria Competence Analysis of Crowdsourcing Delivery Personnel
Table 2
MCCA framework for the crowdsourcing delivery personnel.
Main criteria
Meaning
Subcriteria
Measurement
Source
Knowledge ()
Accumulated relevant delivery knowledge and experience of the crowdsourcing delivery personnel through postentry training and previous experience in the logistics field as well as appropriate self-assessment of their service awareness
Knowledge of crowdsourcing delivery ()
Level of knowledge of crowdsourcing delivery after training since entering into the crowdsourcing delivery platform
In a certain delivery environment, the delivery personnel use certain transport means (motorcycle, electric motorcycle, balance vehicle, and on foot), complete the order received from the takeaway platform with smartphones within a certain period while keeping the customer’s goods intact
Total mileage ()
Crowdsourcing delivery personnel’s total delivery mileage as of the date of statistics
Job performance or the effective outcomes achieved by the order completeness during each delivery of the personnel and is mostly manifested by the various feedbacks from the customers
Negative ratings ()
The ratio of all the customers who give negative reviews like “slow delivery,” “mismatched meals,” “overtime delivery,” “poor attitude,” and “unfamiliar with routes” to all the customers who have given their ratings to the crowdsourcing delivery personnel
The ratio of all the customers who appraise delivery personnel delivering the goods even in bad weather to all the customers who have given their ratings