Search results

To develop a new method for estimation of damage configuration in composite laminate structure using acoustic wave propagation signal and a reduction‐prediction neural network to deal with high dimensional spectral data.

A reduction‐prediction network, which is a combination of an independent component analysis (ICA) and a multi‐layer perceptron (MLP) neural network, is proposed to quantify the damage state related to transverse matrix cracking in composite laminates using acoustic wave propagation model. Given the Fourier spectral response of the damaged structure under frequency band‐selective excitation, the problem is posed as a parameter estimation problem. The parameters are the stiffness degradation factors, location and approximate size of the stiffness‐degraded zone. A micro‐mechanics model based on damage evolution criteria is incorporated in a spectral finite element model (SFEM) for beam type structure to study the effect of transverse matrix crack density on the acoustic wave response. Spectral data generated by using this model is used in training and testing the network. The ICA network called as the reduction network, reduces the dimensionality of the broad‐band spectral data for training and testing and sends its output as input to the MLP network. The MLP network, in turn, predicts the damage parameters.

Numerical demonstration shows that the developed network can efficiently handle high dimensional spectral data and estimate the damage state, damage location and size accurately.

Only numerical validation based on a damage model is reported in absence of experimental data. Uncertainties during actual online health monitoring may produce errors in the network output. Fault‐tolerance issues are not attempted. The method needs to be tested using measured spectral data using multiple sensors and wide variety of damages.

The developed network and estimation methodology can be employed in practical structural monitoring system, such as for monitoring critical composite structure components in aircrafts, spacecrafts and marine vehicles.

A new method is reported in the paper, which employs the previous works of the authors on SFEM and neural network. The paper addresses the important problem of high data dimensionality, which is of significant importance from practical engineering application viewpoint.

The purpose of this paper is to provide an empirical study demonstrating the impact of internet banking, specifically the traffic rank and reach of the web site, on bank performance.

The current study measures the impact of web site rank, percent of total internet users, and number of external links, using data from Alexa.com on bank performance, measured by deposits per branch, net income, return on assets, noninterest income to earning assets, and noninterest expense to earning assets, using data reported from the FDIC.

Results show some support for the importance of web site traffic rank and reach. Specifically, the percent of total internet users and the number of external links were related to both domestic deposits and total global deposits per branch. Moreover, traffic rank and reach were related to net income and noninterest income to earning assets.

One limitation of this study is that it did not examine web site quality or e‐service quality directly.

The paper demonstrates that greater web site traffic is associated with a greater ability to find new, alternative sources of revenue beyond traditional loans, but that spending more on developing the web site does not necessarily mean the ability to spend less on traditional branch overhead. As such, this paper has value for bank managers and researchers alike.

This chapter focuses on the relationship between biotechnology start-ups and larger pharmaceutical corporations when they work as partners in innovation strategic alliances. For three decades, these companies have become major players in innovation in the health sector. This means that the development of many products is a result of the cooperation they carry out. However, due to the great differences between these companies, certain problems can often arise. More specifically, our analysis explores the perceptions of the achievement expected by each partner. This is an important aspect to determine the satisfaction of these firms among strategic alliance. The authors follow qualitative methods to address the topic, conducting personal interviews with managers of these companies. Our findings reveal the concrete facts that can prevent reaching the proposed goals of these partners as well as stress the crucial importance of the human aspect to mitigate potential problems.

Although several types of innovation are identified in the extant literature, researchers have not resolved conflicting theoretical predictions about the implication of adopting innovation types. Following the conceptualization of Damanpour et al., this paper aims to distinguish between three innovation types (i.e. services, technological process, and administrative process) and make suggestions for banks on whether to focus their innovation efforts on a specific type or composition of different types in order to optimize the returns to innovation.

Based on an empirical case study of a large multinational bank in Ghana (name withheld for anonymity), data were collected with questionnaire instruments from 51 bank managers. Two regression equations were estimated and analyzed using the Statistical Package for the Social Sciences (SPSS).

The paper finds evidence that focus on adopting a specific innovation type seems to contribute more to performance than adopting bundles of different types of innovation. As the bank focuses on adopting only administrative process innovation it enjoys higher growth in market share than when it adopts services innovation and technological process innovation in conjunction with administrative process innovation.

It seems that even when resources are in abundance, and complementary changes or innovations are found to be necessary, there is less need to introduce different types of innovation with a more balanced rate simultaneously.

The study proposes to resolve conflicting theoretical predictions and ongoing policy disputes about the effects on business performance (i.e. market share) of the adoption of a specific innovation type versus composition of different innovation types.

The aim of this paper is to investigate how e‐commerce may influence international and product diversification.

The current study elaborates the importance of resource‐based and resource dependence theory to illustrate how internal and external resources may enable firms to diversify. Prior studies on resource‐based theory, resource dependence theory, international diversification, product diversification, and IT capabilities have been presented to show gaps in the literature and identify avenues for future research.

This paper has established a theoretical perspective on the importance of external resources or infrastructure, as well as firm‐specific capabilities, on encouraging product and international diversification. A model has been developed and propositions given.

Future studies on this topic will need to empirically test the model given in this paper, in order to manage all of the interconnected variables and mediators developed in this study.

Utilization of the internet may provide a means for firms to offer “one‐stop shopping” for customers, and may even encourage firms to diversify internationally. Furthermore, important firm‐specific IT capabilities of financial services firms may be extended geographically and by product line, and combined with utilization of the internet, may improve firm performance.

This study compares and contrasts the role of internal and external resources, and assesses whether they will demonstrate a greater effect upon international or product diversification.

The purpose of the study is to present a frequency domain spectral finite element model (SFEM) based on fast Fourier transform (FFT) for wave propagation analysis of smart laminated composite beams with embedded delamination. For generating and sensing high-frequency elastic waves in composite beams, piezoelectric materials such as lead zirconate titanate (PZT) are used because they can act as both actuators and sensors. The present model is used to investigate the effects of parametric variation of delamination configuration on the propagation of fundamental anti-symmetric wave mode in piezoelectric composite beams.

The spectral element is derived from the exact solution of the governing equation of motion in frequency domain, obtained through fast Fourier transformation of the time domain equation. The beam is divided into two sublaminates (delamination region) and two base laminates (integral regions). The delamination region is modeled by assuming constant and continuous cross-sectional rotation at the interfaces between the base laminate and sublaminates. The governing differential equation of motion for delaminated composite beam with piezoelectric lamina is obtained using Hamilton’s principle by introducing an electrical potential function.

A detailed study of the wave response at the sensor shows that the A0 mode can be used for delamination detection in a wide region and is more suitable for detecting small delamination. It is observed that the amplitude and time of arrival of the reflected A0 wave from a delamination are strongly dependent on the size, position of the delamination and the stacking sequence. The degraded material properties because of the loss of stiffness and density in damaged area differently alter the S0 and A0 wave response and the group speed. The present method provides a potential technique for researchers to accurately model delaminations in piezoelectric composite beam structures. The delamination position can be identified if the time of flight of a reflected wave from delamination and the wave propagation speed of A0 (or S0) mode is known.

Spectral finite element modeling of delaminated composite beams with piezoelectric layers has not been reported in the literature yet. The spectral element developed is validated by comparing the present results with those available in the literature. The spectral element developed is then used to investigate the wave propagation characteristics and interaction with delamination in the piezoelectric composite beam.

The purpose of this article is to investigate the propagation characteristics (such as particle motion, attenuation and phase velocity) of a Rayleigh wave in a nonlocal generalized thermoelastic media.

The bulk waves are represented with Helmholtz potentials. The stress-free insulated and isothermal plane surfaces are taken into account. Rayleigh wave dispersion relation has been established and is found to be complex. Due to the presence of radicals, the dispersion equation is continuously computed as a complicated irrational expression. The dispersion equation is then converted into a polynomial equation that can be solved numerically for precise complex roots. The extra zeros in this polynomial equation are eliminated to yield the dispersion equation’s roots. These routes are then filtered for inhomogeneous wave propagation that decays with depth. To perform numerical computations, MATLAB software is used.

In this medium, only one mode of Rayleigh wave exists at both isothermal and insulated boundaries. The thermal factors of nonlocal generalized thermoelastic materials significantly influence the particle motion, attenuation and phase velocity of the Rayleigh wave.

Numerical examples are taken to examine how the thermal characteristics of materials affect the existing Rayleigh wave’s propagation characteristics. Graphical analysis is used to evaluate the behavior of particle motion (such as elliptical) both inside and at the isothermal (or insulated) flat surface of the medium under consideration.

Organisations bear a graver responsibility than they regularly realise. This chapter expands the foregoing sentence through a reflection on what the other chapters have said – that marketers' responsibility should go beyond the sale of a product and should include the consciousness of the social and environmental consequences of the product and that responsibility should start with strategy and accompany the product or service from ideation to commercialisation. The messages going out from the company about its sustainability initiatives must also be ethical. The chapter also presents the book chapters' practical value for teaching, research and consultancy as well as for business application and policy making or policy advocacy. Finally, the chapter calls for generally acceptable standards to measure product greenness and for more self-regulation especially in less regulated regions. The overall message is that, through the marketing function, managers can and must orient the firm's internal dynamics towards embracing both business goals and the common good by taking all stakeholders into consideration and creating value to be shared by all.

The purpose of this paper is to examine the status of technology adoption of Indian apparel manufacturing firms and the organizational factors that affect the level of technology adoption.

Fourteen technologies applicable to apparel manufacturing were examined. A survey with an online questionnaire to apparel manufacturers in India was conducted to collect the data.

The most frequently adopted technology was the internet. The least frequently adopted technologies found in this study were robot‐related. The level of a firm's technology adoption was found to be significantly related to firm size positively and its export orientation negatively. It was also moderately related to competitive advantage. The effects of top management commitment, cost of capital, and technical skills were not significant.

Generalizability of the results is cautioned because the data were from the firms in one industrial town. The results indicate that technology adoption is related to the recent, intensified trade competition. The relationships among export orientation, price competition, and technology adoption need to be studied further.

Given the importance of upgrading in today's competitive global trade environment, this study builds a knowledge base of the technology adoption in apparel manufacturing and influential factors in developing countries.

Is social network analysis just measures and methods with no theory? We attempt to clarify some confusions, address some previous critiques and controversies surrounding the issues of structure, human agency, endogeneity, tie content, network change, and context, and add a few critiques of our own. We use these issues as an opportunity to discuss the fundamental characteristics of network theory and to provide our thoughts on opportunities for future research in social network analysis.