A Bayesian Best-Worst Method-Based Multicriteria Competence Analysis of Crowdsourcing Delivery Personnel

Table 3

Weights of main criteria and subcriteria.

Main criteria	Weight	Subcriteria	Local weight	Global weight
Knowledge ()	0.104	Knowledge of crowdsourcing delivery ()	0.197	0.049
		Previous job experience ()	0.214	0.053
		Customer service awareness ()	0.589	0.147
Skills ()	0.396	Total mileage ()	0.107	0.027
		Delivery order quantity ()	0.244	0.061
		Average delivery time ()	0.307	0.077
		Goods intact ()	0.342	0.086
Abilities ()	0.366	Negative ratings ()	0.289	0.072
		Punctuality ()	0.588	0.147
		Extra reward ()	0.123	0.031
Traits ()	0.133	Politeness and warmth ()	0.153	0.038
		Instrument neat ()	0.178	0.044
		Responsible ()	0.466	0.117
		Neatly dressed ()	0.204	0.051