Strategic correlations for maritime clusters
Ioannis G. Koliousis,
Peter J. Stavroulakis and
Transportation Research Part A: Policy and Practice, 2019, vol. 120, issue C, 43-57
Maritime clusters formulate appealing objects of study, for many viewpoints. At the same time, the theory is not homogenous nor compartmentalized, although some main themes do seem to be prevalent. The latter include innovation, competitiveness, strategy, and policy. Through an inclusive analysis of the literature, data mining is attempted within this body of knowledge. A dominant instance within the literature is the existence of a strategic case, along with the fact that this is rooted within a recurring constellation of topics vested within strategic management. These occurrences are categorized per generic premise, according to a coding protocol. The data is then adjusted into dichotomous variables, to investigate dependent samples’ correlation. The aim of this methodology is to examine association between the categorical variables of academic impact and the presence of a strategic case. The results of the analysis are statistically significant. This research can provoke novel directions with respect to strategic and tactical decision making, for academia and practice. In addition, this work provides a rudimentary inventory of the literature of maritime clusters, that can aid the formulation and investigation of further statistical hypotheses.
Keywords: Strategic management; Industry cluster; Crosstabulation; Dependent samples; Competitiveness; McNemar’s test (search for similar items in EconPapers)
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