The mediating role of socialization in the relationship between interdepartmental integration and product portfolio performance

Rafael, Laura Maria; Silva, Sergio Luis da

doi:10.1590/0103-6513.20220010

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Research Article • Prod. 32 • 2022 • https://doi.org/10.1590/0103-6513.20220010 linkcopy

The mediating role of socialization in the relationship between interdepartmental integration and product portfolio performance

Authorship SCIMAGO INSTITUTIONS RANKINGS

Paper aims Analyze the relationship among interdepartmental integration (IDI), socialization, and product portfolio performance (PPP), mainly the effect of socialization’s mediation on the relationship between the other two constructs.

Originality No study has related both IDI and socialization for improving PPP, with the aim of overcoming the information absence and flow in this portfolio management. This work offers an alternative when compared to past studies, which is the importance of socialization for product portfolio’s success.

Research method Survey with 131 most innovative companies in Brazil. Results were provided by PLS-SEM.

Main findings IDI has direct effect on socialization and no direct effect on PPP, besides the mediation of socialization is confirmed. Furthermore, IDI presents indirect effect on PPP.

Implications for theory and practice Socialization’s mediation opens space for other theories that can be beneficial to the product portfolio. Furthermore, Managers can prioritize IDI’s actions to potentialize PPP through socialization.

Keywords:
Product Portfolio Management; Socialization; Interdepartmental Integration; PLS-SEM; Mediating effect

Region		Respondents		Department		Review frequency
Southeast	57%	Front line	42%	R&D	35%	once a semester	23%
All	35%	Top managers	35%	Production	28%	once a quarter	23%
South	7%	Middle managers	23%	Engineering	17%	once a month	22%
Midwest	1%			Marketing	12%	once a year	21%
				Sales	7%	not every year	11%

Items	COL	INT	SOC	PPP
COL_1	0.840*	0.454*	0.585*	0.495*
COL_2	0.820*	0.366*	0.561*	0.478*
COL_3	0.513*	0.290*	0.349*	0.156*
COL_4	0.851*	0.525*	0.595*	0.476*
COL_5	0.779*	0.340*	0.602*	0.579*
COL_6	0.794*	0.426*	0.522*	0.414*
INT_1	0.351*	0.637*	0.197*	0.095*
INT_2	0.436*	0.768*	0.370*	0.252*
INT_3	0.316*	0.595*	0.261*	0.194*
INT_4	0.266*	0.639*	0.150*	0.033*
INT_5	0.400*	0.769*	0.303*	0.115*
SOC_1	0.506*	0.292*	0.783*	0.390*
SOC_2	0.544*	0.407*	0.812*	0.467*
SOC_3	0.507*	0.153*	0.795*	0.447*
SOC_4	0.676*	0.362*	0.843*	0.551*
PPP_1	0.521*	0.233*	0.561*	0.865*
PPP_2	0.510*	0.223*	0.410*	0.848*
PPP_3	0.412*	0.041*	0.438*	0.730*
PPP_4	0.474*	0.180*	0.516*	0.895*

	PPP	IDI	SOC
PPP	0.837*
IDI	0.514*	0.863*
SOC	0.580*	0.671*	0.808*
Cronbach's alpha	0.856	0.854	0.824
Composite reliability	0.903	0.852	0.883
AVE	0.701	0.744	0.654

Structural Relationship	Hypotheses	f²	Structural Coefficient	t-Value	p-Value	Adjusted R²
IDI ⇒ SOC	H2 (+) Confirmed	0.820	0.671	15.131	0.000	0.446
IDI ⇒ PPP	H1 (+) Not Confirmed	0.044	0.226	1.774	0.076	0.355
SOC ⇒ PPP	H3 (+) Confirmed	0.159	0.429	3.864	0.000	0.355

Effects		Coefficient	Standard error	t-Value	p-Value
Direct	IDI ⇒ PPP	0.226	0.127	1.774	0.076
Indirect	IDI ⇒ SOC ⇒ PPP	0.288	0.075	3.820	0.000
Total	IDI ⇒ PPP	0.514	0.087	5.893	0.000

Formula
$\frac{{0.768}^{2} + {0.948}^{2}}{2}$ (1)
$\frac{{(0.768 + 0.948)}^{2}}{0.410176 + 0.101296 + {(0.768 + 0.948)}^{2}}$ (2)

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[1] Source: Own Authors.

AVE	0.744 (Result from Formula 1)
Composite Reliability	0.852 (Result from Formula 2)
Square Root of AVE	0.863

Loading	0.768	0.948
(1 – Loading)²	0.410176	0.101296