Research on the doctors’ win in crowdsourcing competitions: perspectives on service content and competitive environment

Table 5 Robustness check results

Variables	Model 1		Model 2		Model 3		Model 4
Variables	Coefficient	Std. Dev.	Coefficient	Std. Dev.	Coefficient	Std. Dev.	Coefficient	Std. Dev.
Hospital level	0.031	0.020	0.010	0.019	0.006	0.019	0.002	0.020
Doctor title-Pc	0.081	0.067	-0.008	0.066	0.002	0.066	-0.001	0.066
Doctor title-Pa	0.051	0.067	0.017	0.066	0.013	0.066	0.009	0.066
Decisional capital			0.009	0.005	0.007	0.005	0.002	0.060
Conclusive information			0.053***	0.008	0.067***	0.008	0.355***	0.123
Suggestive information			-0.055*	0.021	-0.050*	0.022	0.176	0.231
Affective information			0.088***	0.016	0.092***	0.016	0.219	0.196
Blessed information			0.077***	0.013	0.069***	0.013	-0.075	0.177
Competition difficulty					-0.016***	0.001	0.002	0.005
Competition intensity					-0.035***	0.009	0.069	0.072
Competition difficulty × Conclusive information							-0.077***	0.028
Competition difficulty × Suggestive information							-0.058*	0.021
Competition difficulty × Affective information							-0.030	0.042
Competition difficulty × Blessed information							0.052	0.037
Competition intensity × Conclusive information							0.003	0.002
Competition intensity × Suggestive information							0.001	0.004
Competition intensity × Affective information							0.001	0.003
Competition intensity × Blessed information							-0.006*	0.003
-2log likelihood	2516.48		2429.65		2426.27		2418.98
Nagelkerke R2	0.000		0.056		0.058		0.062

ISSN: 1472-6947