Understanding the Complex Adoption Behavior of Cloud Services by SMEs Based on Complexity Theory: A Fuzzy Sets Qualitative Comparative Analysis (fsQCA)

Table 4

FsQCA analysis results.

	Cloud service adoption by SMEs
	1			2		3	4	5	6
	1a	1b	1c	2a	2b
RA	⊗		⊗	●	●	●	⊗	●	⊗
PSR		●	●	⊗	●		⊗	●	●
TMS	⊗	⊗	⊗	●	⊗	●	⊗	●	●
IT	⊗	⊗	⊗	●	●	●	⊗	●	●
CP	⊗	⊗	⊗		⊗	●	⊗	⊗	⊗
GS	●	●	●	⊗	⊗	●	⊗	⊗	●
PA	⊗	⊗		●	●	●	●	⊗	⊗
Consistency	0.786	0.833	0.861	0.946	0.952	0.982	0.883	0.932	0.945
Raw coverage	0.235	0.237	0.272	0.418	0.269	0.558	0.254	0.210	0.208
Unique coverage	0.004	0.004	0.008	0.033	0.013	0.185	0.008	0.013	0.005
Solution coverage	0.740
Solution consistency	0.842

Black circles (“●”) indicate the presence of a condition, and circles with a cross-out (“⊗”) indicate the absence of a condition. Furthermore, large circles indicate core conditions, and small circles indicate peripheral conditions. Blank spaces indicate a “do not care” situation in which the causal condition may be either present or absent.