The Role of Usability in Business-to-Business E-Commerce Systems: Predictors and Its Impact on User's Strain and Commercial Transactions

Table 1

Means, standard deviations, average variance extracted, reliability estimates, and intercorrelations among study variable.

Variable	M	SD	AVE	1	2	3	4	5	6	7	8	9	10
(1) Usability	5.24	1.43	.94	(.93)
(2) Strain	3.49	1.71	.97	−.08***	(.90)
(3) Purchase	0.59	0.49	—	.03	−.01	—
(4) Organizational support	4.39	1.68	.90	.08***	–.09***	.01	(.81)
(5) Information policy	4.5	2.00	.89	.05*	−.04*	.01	.06**	(.88)
(6) OSRT^a	93	238	—	.03	−.04	.01	.07**	.03	—
(7) SSRT	3.8	1.76	—	−.07**	.04	.03	−.06**	−.03	−.03	—
(8) Age	40.3	12.3	—	−.01	−.02	−.05	−.05*	−.02	−.01	.00	—
(9) Gender^b	1.3	0.46	—	−.05	.09***	.01	−.03	.07**	.04	−.01	−.09**	—
(10) Computer experience^c	21	5.3	.87	.00	−.02	−.02	.00	−.07**	.03	.00	.04*	.01	(.94)

Note:  𝑁=491. AVE: average variance extracted. OSRT: objective server response time. SSRT: subjective server response time ain milliseconds. bDummy coded variable 1 = female, 2 = male. cin years.
^∗𝑃<.05, **𝑃<.01, ^∗∗∗𝑃<.001 (twosided).
Cronbach’s alpha reliability coefficients are on the diagonal where appropriate.