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PEN fibres are well known for their high performance properties, resistance, and good tensile properties. Their potential markets are the packaging, film and fibre markets. For tyre yarns in particular, the response to dynamic deformations at elevated temperatures is interesting. The ultimate modulus of PEN fibres is substantially higher than that of polethylenetrephtalate (PET). However, in the amorphous domains of PEN, the rotation of the naphthalene rings induces conformational transitions, which negatively influence the dynamic mechanical properties (Militký, 1999)

The main aim of this contribution is to measure and characterize the dynamic mechanical spectra of PEN fibres. These spectra are obtained at various levels of pre-straining. The analysis is based on the real part of the dynamic modulus and on an evaluation of the loss tangent. The simple model of dynamic behaviour based on the standard linear viscoelastic body is presented. The special apparatus for measuring dynamic behaviour under various types of deformation (tension, compression, bending, shearing) is described in detail.

In this century, textiles will not only offer the best functional features of natural and synthetic fibres, but will be highly engineered systems targeted to provide complex functionalities for technical applications. Biotechnology, fibre engineering and materials science will be key technologies driving the development of these next generation textile systems. Exciting new opportunities will arise at the interfaces - integrated science - between these divergent disciplines. In the general parts of this lecture the factors influencing future trends in the fibre industry and application of fibrous structures are discussed. The core of presentation is specification of cotton and polyester fibres properties required for apparel production and expressing the selected properties changes due to variation of air humidity.

This paper aims to investigate how different trajectories can be detected and classified in business models (BMs) at the level of their underlying product development value-structure (value-creation and appropriation), and what are the drivers. Such BMs are run by multinational firms to accommodate various technologies and innovations; however, this is stressful because of inherent incompatibilities and conflicts.

An explorative study of six product cases from Du Pont’s Textiles Fiber Division (DTFD), namely, nylon yarns, knits and wovens, DTFD blockbusters, Coolmax^®, MicroMattique™, filling materials and Supriva™, is conducted.

In value-creation, technology push or market pull yields resultant technology-forward or market-back trajectories. For value appropriation, new growth opportunities or continuous market expectations lead to breakthrough or continuous innovations. Consistent and inconsistent combinations of these trajectories yield four differential drivers: technological breakthrough, market-back technology, continuous technology and continuous market-back. This is supported by relevant supply chain strategies, either focused through joint ventures and licensees for commodities or vertically integrated for specialty products.

The paper adds to the analysis of ambidexterity in the value structure of BMs along constituent value-creation and appropriation, thus providing a logical lens to understand various complementarities that exist in terms of opposing technology trajectories and product innovation repertoire.

This study contributes to the knowledge of product innovation management in the textile industry, where both large-scale innovation and operational excellence are challenged over the past few decades.

The lessons learnt address the fundamental issue of higher value generation through configuration of multiple contrasting value-structure elements.

Corporate failure remains a critical financial concern, with implications for both firms and financial institutions; this paper aims to review the literature that proposes corporate failure prediction models for the twenty-first century.

This paper gathers information from 106 published articles that contain corporate failure prediction models. The focus of the analysis is on the elements needed to design corporate failure prediction models (definition of failure, sample approach, prediction methods, variables and evaluation metrics and performance). The in-depth review creates a synthesis of current trends, from the view of those elements.

Both consensus and divergences emerge regarding the design of corporate failure prediction models. On the one hand, authors agree about the use of bankruptcy as a definition of failure and that at least two evaluation metrics are needed to examine model performance for each class, individually and in general. On the other hand, they disagree about data collection procedures. Although several explanatory variables have been considered, all of them serve as complements for the primarily used financial information. Finally, the selection of prediction methods depends entirely on the research objective. These discrepancies suggest fundamental advances in discovery and establish valuable ideas for further research.

This paper reveals some caveats and provides extensive, comprehensible guidelines for corporate failure prediction, which researchers can leverage as they continue to investigate this critical financial subject. It also suggests fruitful directions to develop further experiments.