English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The goal of the paper is to quantify the simultaneous competition andcooperation that takes place in organizations. As the concepts seem to bedichotomous opposites at first, the term internal coopetition duality is putforth. Parallels are drawn between coopetitive processes in big multinationalcorporations (MNCs) and these taking place in universities, also the structuralsolutions used in both are analyzed. Data mining is used while looking at howspecializations inside the university are in competition for better students.We look at the profiles that students have and find natural divisions betweenthe specializations, by applying graph theory and modularity algorithms forcommunity detection. The competitive position of the specializations is evidentin the average grades of the detected communities. The ratio of intercommunityties to intracommunity ties (conductance) quantifies the cooperative stance,though, as students with similar profiles express linkages in the curricula;and the choices regarding career development undertaken become evident.Managerial implications discussed include the imperative for actively managingand financially rewarding the outcomes of the coopetitive duality.

Data mining the MNC like internal co-opetition duality in a university context