Table 1. Exploratory factor analysis... | Emerald Publishing

Table 1.

Exploratory factor analysis

Variables	Items	Principal component analysis results		Variables	Items	Principal component analysis results
Variables	Items	1	2	Variables	Items	1	2
Boundary-spanning search	BS1	0.832	0.064	Capability substitution	CS1 CS2 CS3 CS4 CS5	0.849 0.849 0.862 0.813 0.809	0.053 0.256 0.152 0.164 0.224
	BS2	0.884	0.09
	BS3	0.888	0.112
	BS4	0.885	0.089
	BS5	0.88	0.134
	BS6	0.819	0.061
Local search	LS1	0.110	0.923	Capability evolution	CE1 CE2 CE3 CE4	0.151 0.125 0.170 0.118	0.882 0.901 0.902 0.912
	LS2	0.103	0.934
	LS3	0.123	0.941
	LS4	0.088	0.941
	LS5	0.065	0.924
Characteristic value		4.542	4.402			3.882	3.403
Variance explanation		41.287	40.016			38.816	34.032
Cumulative variance explanation		41.287	81.304			38.816	72.848

Variables	Items	Principal component analysis results		Variables	Items	Principal component analysis results
Variables	Items	1	2	Variables	Items	1	2
Boundary-spanning search	BS1	0.832	0.064	Capability substitution	CS1 CS2 CS3 CS4CS5	0.849 0.849 0.862 0.813 0.809	0.053 0.256 0.152 0.164 0.224
	BS2	0.884	0.09
	BS3	0.888	0.112
	BS4	0.885	0.089
	BS5	0.88	0.134
	BS6	0.819	0.061
Local search	LS1	0.110	0.923	Capability evolution	CE1 CE2 CE3 CE4	0.151 0.125 0.170 0.118	0.882 0.901 0.902 0.912
	LS2	0.103	0.934
	LS3	0.123	0.941
	LS4	0.088	0.941
	LS5	0.065	0.924
Characteristic value		4.542	4.402			3.882	3.403
Variance explanation		41.287	40.016			38.816	34.032
Cumulative variance explanation		41.287	81.304			38.816	72.848

Notes:

Extraction method: principal component analysis. Rotation method: the orthogonal rotation method with Kaiser standardization converges after three iterations