Table 2 Factor loadings, reliability,... | Emerald Publishing

Table 2

Factor loadings, reliability, and variance explained (N = 309)

Factors	Item	Factor Loadings	Cronbach's α	Variance explained, %
Factor 1: Data protection distrust	I am concerned that my personal and academic data might be disclosed to third parties without my consent. (V1)	0.878	0.743	20.550
Factor 1: Data protection distrust	I fear that stored and processed data could be altered or manipulated without authorization. (V2)	0.845	0.743	20.550
Factor 2: Functional distrust	I am concerned that the technology may not effectively enhance specific skills or competencies as promised. (V7)	0.752	0.706	23.507
	I am apprehensive that regular updates may disrupt current functionalities or fail to align with personalized user experiences. (V8)	0.767
	I am uncertain about how continuous innovations align with personalized educational needs and preferences. (V9)	0.802
Factor 3: Distrust of AI replacing humans	An AI tool can never compete with the experience of a specialized trainer in entrepreneurship. (V10)	0.797	0.775	26.325
	With long-term experience, a trainer can teach more than an AI can. (V11)	0.855
	Trainers have a better understanding of what happens in the entrepreneurial process than AI can have. (V12)	0.811
Total variance explained (%)				70.382

Factors	Item	FactorLoadings	Cronbach's α	Variance explained, %
Factor 1: Data protection distrust	I am concerned that my personal and academic data might be disclosed to third parties without my consent. (V1)	0.878	0.743	20.550
Factor 1: Data protection distrust	I fear that stored and processed data could be altered or manipulated without authorization. (V2)	0.845	0.743	20.550
Factor 2: Functional distrust	I am concerned that the technology may not effectively enhance specific skills or competencies as promised. (V7)	0.752	0.706	23.507
	I am apprehensive that regular updates may disrupt current functionalities or fail to align with personalized user experiences. (V8)	0.767
	I am uncertain about how continuous innovations align with personalized educational needs and preferences. (V9)	0.802
Factor 3: Distrust of AI replacing humans	An AI tool can never compete with the experience of a specialized trainer in entrepreneurship. (V10)	0.797	0.775	26.325
	With long-term experience, a trainer can teach more than an AI can. (V11)	0.855
	Trainers have a better understanding of what happens in the entrepreneurial process than AI can have. (V12)	0.811
Total variance explained (%)				70.382

Note(s): KMO = 0.731

Extraction method: Principal Component Analysis

Rotation method: Varimax with Kaiser normalization

Source(s): Authors’ own work