Although innovation is considered the lifeblood of many organizations, firms are often challenged to derive the anticipated performance benefits of innovation. Research on the firm’s innovation profile is justified by the relations between dynamic capabilities and networking vocation. This study presents a model that assesses manufacturer firms' innovation profile based on dynamic capabilities and networking abilities and in which dynamic capabilities are founded on three cross-sectional capabilities: strategies, skills and stakeholders. To reach this aim and overcome literature weakness, the authors consider the firm as a Complex Adaptive System that to survive must, constantly, create and maintain relationships, adapting its capabilities and behaviors, with relevant stakeholders. Empirical analysis is based on new real data taken from a survey made on 3.500 Italian SME manufacturing firms, with the goal to better investigate the interactions of networking firms and their ability to innovate. Graphical log linear models were applied to understand how the firms interact in the system.
NETWORKING ABILITIES AND DYNAMIC CAPABILITIES FOR AN “INNOVATOR FIRM” PROFILE IN THE ITALIAN MANUFACTURER INDUSTRY
BASILE G;Mazzitelli A
2018-01-01
Abstract
Although innovation is considered the lifeblood of many organizations, firms are often challenged to derive the anticipated performance benefits of innovation. Research on the firm’s innovation profile is justified by the relations between dynamic capabilities and networking vocation. This study presents a model that assesses manufacturer firms' innovation profile based on dynamic capabilities and networking abilities and in which dynamic capabilities are founded on three cross-sectional capabilities: strategies, skills and stakeholders. To reach this aim and overcome literature weakness, the authors consider the firm as a Complex Adaptive System that to survive must, constantly, create and maintain relationships, adapting its capabilities and behaviors, with relevant stakeholders. Empirical analysis is based on new real data taken from a survey made on 3.500 Italian SME manufacturing firms, with the goal to better investigate the interactions of networking firms and their ability to innovate. Graphical log linear models were applied to understand how the firms interact in the system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
