Statistical models for word frequency distributions: A linguistic evaluation

Three models for word frequency distributions, the lognormal law, the generalized inverse Gauss-Poisson law and the extended generalized Zipf's law are compared and evaluated with respect to goodness of fit and rationale. Application of these models to frequency distributions of a text, a corpus and morphological data reveals that no model can lay claim to exclusive validity, while inspection of the extrapolated theoretical vocabulary sizes raises doubts as to whether the urn scheme with independent trials is the correct underlying model for word frequency data. The role of morphology in shaping word frequency distributions is discussed, as well as parallelisms between vocabulary richness in literary studies and morphological productivity in linguistics.R. Harald Baayen received his PhD at the Free University, Amsterdam, where he was involved in research on morphological productivity. He is now at the Max-Planck Institute for Psycholinguistics, Nijmegen, participating in a project on computational modelling of lexical representation and process.     

When and why technology leadership enters the C-suite: An antecedents perspective on CIO presence

Building on the concept of dynamic managerial capabilities, we set out to advance scholarly understanding of the antecedents of the presence of technology leadership in the form of the chief information officer (CIO) in the top management team. We derive a holistic framework from the literature of dynamic capabilities and introduce into that literature the concept of adaptation pressures. We suggest that external and internal dimensions that pertain to information technology, comprising an environmental, structural, and strategic dimension, intensify the pressure on a firm to adapt. The pressure to adapt increases the likelihood that the firm will add a CIO to its top management team. In turn, the presence of a CIO can direct a firm toward exploration as a way to relieve the adaptation pressure. Results from regression analyses of a longitudinal data set covering 503 large U.S. firms from 2006 to 2017 confirm our hypotheses. This study contributes to the literature of both information systems and strategy by clarifying the antecedents of technology leadership in the C-suite and explicating how environmental, structural, and strategic factors can act as such antecedents. Moreover, this study reinforces the notion that IT leadership can induce strategic change.