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

Table 4 Linear regression 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	0.030	0.019	0.010	0.019	0.010	0.019	0.006	0.019
Doctor title-Pc			-0.013	0.062	0.010	0.062	0.007	0.062
Doctor title-Pa			0.014	0.063	0.022	0.062	0.018	0.062
Decisional capital			0.009	0.005	0.007	0.005	0.012	0.058
Conclusive information			0.051***	0.008	0.065***	0.008	0.232*	0.116
Suggestive information			-0.049*	0.021	-0.044*	0.021	0.314	0.220
Affective information			0.088***	0.016	0.092***	0.016	0.236	0.191
Blessed information			0.074***	0.013	0.067***	0.013	-0.173	0.170
Competition difficulty					-0.032***	0.009	0.082	0.070
Competition intensity					-0.016***	0.001	0.004	0.005
Competition difficulty × Conclusive information							-0.051*	0.027
Competition difficulty × Suggestive information							-0.085*	0.049
Competition difficulty × Affective information							-0.034	0.041
Competition difficulty × Blessed information							0.070	0.046
Competition intensity × Conclusive information							0.003	0.002
Competition intensity × Suggestive information							0.000	0.003
Competition intensity × Affective information							0.000	0.003
Competition intensity × Blessed information							-0.005*	0.003
-2log likelihood	2248.74		2171.64		2165.81		2157.93
Nagelkerke R2	0.014		0.060		0.072		0.077

ISSN: 1472-6947