DOI:
关键词: Data envelopment analysis 、 Social Welfare 、 Excellence 、 Engineering 、 Higher education 、 Knowledge management 、 Publishing 、 Operations research 、 Location 、 GRASP 、 Knowledge transfer
摘要: Competitiveness and excellence heavily rely on the capacity of regions to innovate transfer knowledge from academic institutions society. In a scenario where these values acquire growing importance, universities are called expand their traditional objectives (teaching research) by introducing in objective function so-called third stream mission. The efficient implementation goals is expected increase economic social welfare territories. This means that have turned into crucial engines for regional development. Consequently, reshape structures strategies incorporate new demands claimed public administrations, practitioners, academics other stakeholders As result, it important question whether allocate internal resources capabilities effectively cope with all functions they assumed develop. this context, study ways through which align relation achievement multiple has become critical research issue, questioning if both environmental factors can explain performance differences higher education institutions. Differences size, geographical location institutional frameworks depict complex but challenging framework. analysis contribution development gained increased attention. Even though number studies dealing field extensive, possible identify theoretical empirical gap modelling universities? takes account its multidimensional nature. Therefore, thesis aims fill examining "what" do, "why" do what "how" it. particular, dissertation three folded. First, we propose define an universities. Second, best contribute teaching, outcomes. Third, assess university's scrutinise different strategic behaviours followed Spanish To end, carry out exhaustive literature review, present framework model From our hypotheses emerge. We therefore three-step test hypotheses, focusing system. first stage analysis, run regression models determinants missions. Second employs Data Envelopment Analysis efficiency Finally, cluster get better grasp about approaches address function. Our results suggest be classified five categories. Empirical findings shed some light how orientation. identified categories follow: very good at publishing (Cluster 1); clear lack support 2); knowledge-transfer orientation 3); specialised 4); more 5). These verify intuition tend concentrate certain specific competences, suggesting implement according features characteristics region located.