MANAGEMENT INNOVATION: A JOURNEY INTO THE CORE OF RESEARCH IN MANAGEMENT

As innovation is considered central to firms’ competitive advantage, innovation research has become a cornerstone of strategic management inquiry. However, the vast majority of research attention is dedicated to understanding how firms can stimulate technological innovation. An emerging (or rather resurrecting) research trend espouses the benefits of management innovation. Management innovation refers to the introduction of management practices, processes and structures that are intended to further organizational goals (Birkinshaw, Hamel and Mol, 2008). The emergent dialogue consists of conceptual work (e.g., Birkinshaw et al., 2008), historical outlines of various management innovations (e.g., Mol and Birkinshaw, 2007) and empirical studies (e.g., Damanpour, Walker and Avellaneda, 2009; Vaccaro, Jansen, Van Den Bosch, and Volberda, 2010)

Правові основи системи місцевого самоврядування в працях науковців радянського періоду

У статті досліджено правові основи ситеми місцевого самоврядування в працях науковців радянського періоду, а також розкрито зміст поняття нормативно правових актів органів місцевого самоврядування. Ключові слова: місцеве самоврядування, поняття нормативно правового акта органів місцевого самоврядування, право.В статье исследованы правовые основы системы органов местного самоуправления в трудах ученых советского периода, а также раскрываеться сущность понятия нормативно правовых актов органов местного самоуправления, право. Ключевые слова: местное самоуправление, определение нормативно правового акта местного самоуправления.The article is devoted legal frameworks of the system of local self government are in labours of research workers of soviet period and analysis of the essence and grounds normative legal act of self government. Key words: local self government, the essence normative legal act of self government, law

Meta-Learning for Phonemic Annotation of Corpora

We apply rule induction, classifier combination and meta-learning (stacked classifiers) to the problem of bootstrapping high accuracy automatic annotation of corpora with pronunciation information. The task we address in this paper consists of generating phonemic representations reflecting the Flemish and Dutch pronunciations of a word on the basis of its orthographic representation (which in turn is based on the actual speech recordings). We compare several possible approaches to achieve the text-to-pronunciation mapping task: memory-based learning, transformation-based learning, rule induction, maximum entropy modeling, combination of classifiers in stacked learning, and stacking of meta-learners. We are interested both in optimal accuracy and in obtaining insight into the linguistic regularities involved. As far as accuracy is concerned, an already high accuracy level (93% for Celex and 86% for Fonilex at word level) for single classifiers is boosted significantly with additional error reductions of 31% and 38% respectively using combination of classifiers, and a further 5% using combination of meta-learners, bringing overall word level accuracy to 96% for the Dutch variant and 92% for the Flemish variant. We also show that the application of machine learning methods indeed leads to increased insight into the linguistic regularities determining the variation between the two pronunciation variants studied.Comment: 8 page