Abstract
The purpose of this article is to evaluate the influence of a transnational egocentric network on the innovation competence for internationalization for a transnational focal organization—considered one of the main players in the telecommunications sector worldwide. The theoretical–empirical framework relies on the perspectives of innovation, relational learning, and relational embeddedness in inter-organizational networks. With regard to methodology, the design chosen for this research was data collection, since it deals with relational data treated dyadically, using the network analysis technique to identify the egocentric network configuration with the use of UCINET software. We conclude that the studied network is oriented toward innovation and the analyzed variables show a high degree of complexity, especially in relation to the wide-reaching treatment of innovation as overlapping with the traditional indicators and with an emphasis on technology or research and development. In this sense, the main contribution of this research is to show that the traditional conception of organizational competence as an internal resource can be extended to the perspective of relational embeddedness by considering innovation for internationalization as an inter-organizational level of competence, creating the need to undertake new studies that will complement the explanatory power, in addition to the learning dimensions, that are contemplated in this research.
Highlights
The telecommunications sector is affected by constant global transformation, and plays a strategic role by significantly influencing other sectors of the economy (Rauen, Hiratuka & Fracalanza, 2011; Symeou, 2011)
After a brief introduction, which includes the objective of the study, we focus on the theoretical basis related to innovation, relational learning, and relational embeddedness in inter-organizational networks
It was decided that the seven factors should be merged into a single global measure by joining the mean of these factors; 2) the second analysis consists of the configuration of the network based on centrality, core/periphery, structural equivalence, and the identification of five independent variables obtained from the symmetrical network—Degree, Closeness, Betweenness, and Eigenvector, which are standard measures of centrality, as well as Effsize, which is a measure of structural holes.The three dimensions of organizational learning—information sharing, joint sensemaking, and knowledge integration—are considered the main independent variables; 3) in the third part, Multiple Regression via Quadratic Assignment Procedure (MRQAP) was performed to identify the relationship between inter-organizational learning and the innovation competence for internationalization in the relationship network
Summary
The telecommunications sector is affected by constant global transformation, and plays a strategic role by significantly influencing other sectors of the economy (Rauen, Hiratuka & Fracalanza, 2011; Symeou, 2011). This adaptation is complex for large companies, because they have more formal internal processes and, it is difficult for them to reconcile different aspects of the structural, resource, and management spheres (Symeou, 2011) In this scenario characterized by change and strong competition, innovation, as well as learning, has occupied an important space in business discussions, gaining evidence in academic research in the last 30 years for its relevance in the context of world transformations, especially in terms of global economic integration, holding a prominent position, and as a key factor for economic growth (Chetty & Stangl, 2010; Ruem et al, 2011). The results of the research are discussed; lastly, final considerations are presented
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
