Intangible-driven performance: Company size matters
This paper explores the moderator effect of firm size on the relation between different intangible resources and companies' performance. By analysing small and medium enterprises (SMEs) and large companies, the authors examine the differences in the employment of six types of intangible resources: human resources, management resource capabilities, innovation and internal process capabilities, customer loyalty and networking capabilities. Dummy regression is applied to establish the differential effect in the impact of these intangibles on firm performance, measured by return on assets (ROA). This study provides econometric justification using a database of more than 1,400 European public companies. The time period for the investigated data covers ten years, from 2004 to 2013. The findings revealed that SMEs have less endowment of almost all of the analysed intangible resources. At the same time, in comparison with large companies, SMEs benefit more from developing human resources, innovation and internal process capabilities.
The aim of this work is to present the results of research devotedto the analysis of problems in the sphere of SME lending regional banks in Russia and ways of overcoming them.
This book constitutes the refereed proceedings of the 23rd Annual Symposium on Combinatorial Pattern Matching, CPM 2012, held in Helsinki, Finalnd, in July 2012. The 33 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 60 submissions. The papers address issues of searching and matching strings and more complicated patterns such as trees, regular expressions, graphs, point sets, and arrays. The goal is to derive non-trivial combinatorial properties of such structures and to exploit these properties in order to either achieve superior performance for the corresponding computational problems or pinpoint conditions under which searches cannot be performed efficiently. The meeting also deals with problems in computational biology, data compression and data mining, coding, information retrieval, natural language processing, and pattern recognition.
The paper provides a review of present-day studies on the problem of pilots’ performance in various flight conditions, with a focus on their methodology. Conceptual frameworks of the studies (concepts of working capacity, functional state and mental workload) are discussed, and different objective and subjective measures and methods used are described. Eye-tracking is regarded with special attention as a promising tool able to examine the internal mechanisms of pilots’ performance. The paper hints to the importance of systemic methodological approach to pilots’ performance assessment and proposes the direction for further research in the field of aviation psychophysiology.