Are there differences between governing and managing strategic networks of different sizes and ages?

Abstract

This paper aims to analyze how governance and management of strategic networks (SNs) composed of small firms differ according to network size and length of existence. We analyzed 20 Brazilian SNs, comparing oldest to youngest and largest to smallest. The results show that large SNs have a more robust management structure, automated process control system, and centralized strategic decision-making power. Only small and younger SNs are not centralized and lack incentive mechanisms for members. Moreover, older SNs have a centralized strategic formulation and implementation process, whereas younger SNs have a more inclusive and participatory one. The results confirm previous studies and offer a fine-grained comprehension of the governance of SNs according to the number of members. The findings contribute to the nascent network governance theory and offer insights to network managers who have to reconfigure the governance as the number of members grows.

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“…Ou seja, essa análise permite detectar as coocorrências das palavras, fornecendo informações sobre a conectividade das palavras e, assim, auxiliando na identificação da estrutura do conteúdo de um corpus textual. Também possibilita localizar as partes e especificidades compartilhadas de acordo com as variáveis descritivas encontradas na análise (11)(12)(13) .…”

Overview of nursing ethics teaching in Brazilian public higher education institutions

“…This method, which follows a top-down hierarchical analysis format, provides a number of classes and statistical clues in the form of typical words and text segments. Specifically, the software classifies text segments according to their respective vocabularies and subsequently groups them based on word frequency to obtain classes of terms similar to each other and the degree of connection of one class with the others (11)(12) .…”

“…That is, this analysis allows detecting the co-occurrences of words, providing information on the connectivity of words and, thus, helping to identify the structure of the content of a textual corpus. It also makes it possible to locate the parts and specificities shared according to the descriptive variables found in the analysis (11)(12)(13) .…”

Vulnerability of Older Adults in the Context of Food Purchase

“…Among the quality manuals available about content analysis (Elo and Kyngäs 2008;Krippendorff 2018), we chose Bardin's manual (2015) for its suitability to the research objective. Furthermore, Bardin's manual and the IRAMUTEQ software have already been used together by other studies previously (Costa, Luz, and Wegner 2022;Silva et al 2021b), leading our choice. In interface with the R software, IRAMUTEQ program enables a statistical analysis of the textual corpus, using the word as a recording unit.…”