Table 5. PLS-SEM results Paths β t...

Table 5.

PLS-SEM results

Paths	β	t-value	p -value	BCa CIs
Organizational unlearning → MMI (H1)	0.43***	5.85	0.000	[0.277, 0.567]
MMI → Product rollover performance (H2)	0.62***	7.32	0.000	[0.443, 0.773]
Organizational unlearning → Product rollover performance	0.12	1.60	0.109	[−0.022, 0.274]
Organizational unlearning → MMI → Product rollover performance (H3)	0.26***	4.28	0.000	[0.156, 0.388]
Environmental dynamism → MMI	0.25**	3.35	0.001	[0.091, 0.385]
Environmental dynamism $\times$ Organizational unlearning → MMI (H4)	0.14*	2.34	0.019	[0.019, 0.250]
Environmental dynamism → Product rollover performance	0.02	0.21	0.832	[−0.153, 0.198]
Environmental dynamism $\times$ MMI → Product rollover performance (H5)	−0.10	1.51	0.132	[−0.250, 0.021]
Environmental dynamism $\times$ Organizational unlearning → MMI → Product rollover performance (H6)	0.09*	2.19	0.027	[0.012, 0.166]
Control variables
Firm size (small) → Product rollover performance	−0.27	1.52	0.130	[−0.596, 0.100]
Firm size (medium) → Product rollover performance	−0.39**	3.25	0.001	[−0.637, −0.169]
Product rollover regularity → Product rollover performance	−0.10	0.88	0.382	[−0.323, 0.113]
Product homogeneity → Product rollover performance	0.02	0.21	0.834	[−0.183, 0.121]
Industrial goods → Product rollover performance	−0.02	0.13	0.894	[−0.361, 0.347]
Consumer discretionary → Product rollover performance	−0.07	0.38	0.704	[−0.412, 0.276]
Health care → Product rollover performance	−0.16	0.87	0.387	[−0.538, 0.171]
Information technology → Product rollover performance	−0.17	1.25	0.212	[−0.456, 0.087]
R²_MMI = 0.32; R²_{product rollover performance} = 0.50
Q²_MMI = 0.26; Q²_{product rollover performance} = 0.04

Paths	β	t-value	p -value	BCa CIs
Organizational unlearning → MMI (H1)	0.43***	5.85	0.000	[0.277, 0.567]
MMI → Product rollover performance (H2)	0.62***	7.32	0.000	[0.443, 0.773]
Organizational unlearning → Product rollover performance	0.12	1.60	0.109	[−0.022, 0.274]
Organizational unlearning → MMI → Product rollover performance (H3)	0.26***	4.28	0.000	[0.156, 0.388]
Environmental dynamism → MMI	0.25**	3.35	0.001	[0.091, 0.385]
Environmental dynamism $\times$ Organizational unlearning → MMI (H4)	0.14*	2.34	0.019	[0.019, 0.250]
Environmental dynamism → Product rollover performance	0.02	0.21	0.832	[−0.153, 0.198]
Environmental dynamism $\times$ MMI → Product rollover performance (H5)	−0.10	1.51	0.132	[−0.250, 0.021]
Environmental dynamism $\times$ Organizational unlearning → MMI → Product rollover performance (H6)	0.09*	2.19	0.027	[0.012, 0.166]
Control variables
Firm size (small) → Product rollover performance	−0.27	1.52	0.130	[−0.596, 0.100]
Firm size (medium) → Product rollover performance	−0.39**	3.25	0.001	[−0.637, −0.169]
Product rollover regularity → Product rollover performance	−0.10	0.88	0.382	[−0.323, 0.113]
Product homogeneity → Product rollover performance	0.02	0.21	0.834	[−0.183, 0.121]
Industrial goods → Product rollover performance	−0.02	0.13	0.894	[−0.361, 0.347]
Consumer discretionary → Product rollover performance	−0.07	0.38	0.704	[−0.412, 0.276]
Health care → Product rollover performance	−0.16	0.87	0.387	[−0.538, 0.171]
Information technology → Product rollover performance	−0.17	1.25	0.212	[−0.456, 0.087]
R²_MMI = 0.32; R²_{product rollover performance} = 0.50
Q²_MMI = 0.26; Q²_{product rollover performance} = 0.04

Note(s):

*p < 0.05; **p < 0.01; ***p < 0.001

Source(s): Authors’ own work

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