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Article
Publication date: 1 April 2022

Antonio Prencipe, Danilo Boffa, Armando Papa, Christian Corsi and Jens Mueller

The purpose of this study is to analyze the impact of human capital related to gender and nationality diversity in boards of directors on the innovation of university spin-offs…

724

Abstract

Purpose

The purpose of this study is to analyze the impact of human capital related to gender and nationality diversity in boards of directors on the innovation of university spin-offs (USOs) in their entrepreneurial ecosystem. Following the intellectual capital (IC) framework and the resource dependence theory, upper echelons theory and critical mass theory, it hypothesizes that the relationship between board diversity and USOs’ firm innovation is non-linear.

Design/methodology/approach

To test the research hypotheses empirically, a sample of 827 Italian USOs over the period 2009–2018 was analyzed using zero-inflated Poisson regression modeling. A robustness test was also performed.

Findings

Gender obstacles remain in USOs’ entrepreneurial ecosystem, with little involvement of women in boards, and the benefits of human capital for firm innovation emerge with increased female representation. Nevertheless, a few foreign-born directors embody valued IC in terms of human capital from an internationally linked entrepreneurial ecosystem, which decreases with more foreign-born directors due to communication costs and coordination problems.

Research limitations/implications

The emerging non-linear relationships imply that gender- and nationality-diverse boards in USOs constitute critical human capital factors boosting the devolvement of entrepreneurial processes, in terms of firm innovation, in university entrepreneurial ecosystems.

Originality/value

This study contributes significantly to the move from traditional corporate governance analysis through an IC framework, fostering an understanding of the role of human capital and its diversity determinants in spurring firm innovation among USOs considering the university entrepreneurial ecosystem.

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Publication date: 1 November 2002

F. Papa, K T.G., K.J. DeWitt and K. Vaidyanathan

This study is concerned with developing laminar flow of an incompressible, Newtonian fluid, having constant viscosity, rotating in circular and rectangular ducts that contain a…

1119

Abstract

This study is concerned with developing laminar flow of an incompressible, Newtonian fluid, having constant viscosity, rotating in circular and rectangular ducts that contain a 180° bend. The Reynolds number ranges from 100 to 400, the rotation number from 0 to 0.4, and the Dean number from 66 to 264. Positive and negative rotation modes are considered. The artificial compressibility method is used for the numerical calculations and new boundary conditions are developed for these flows. It is shown that rotation causes the secondary flow to occur in ducts of any geometry, and that the strength of the secondary flow in the bend due to both rotation and curvature decreases as compared to the no rotation case.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 12 no. 7
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 1 August 2019

Asama Alglawe, Onur Kuzgunkaya and Andrea Schiffauerova

The purpose of this paper is to develop an optimization model to better allocate cost of quality (COQ) in the supply chain (SC). In addition, the paper provides a roadmap based on…

394

Abstract

Purpose

The purpose of this paper is to develop an optimization model to better allocate cost of quality (COQ) in the supply chain (SC). In addition, the paper provides a roadmap based on COQ that allocates limited given budget among the SC entities.

Design/methodology/approach

This paper presents a comprehensive SC model while introducing six different scenarios, where each scenario minimizes fixed costs and COQ of the SC.

Findings

The results showed that the highest portion of the COQ should be allocated at the retailer echelon while the lowest portion should be kept at the manufacturer echelon. The findings also presented that the retailer should always maintain the highest quality level (QL) compared to the manufacturer and supplier.

Originality/value

Considering prevention, appraisal and failure (PAF) cost model, this research defines the tradeoff among PA, F costs, QL and material flow in the SC network; no work has been published regarding integrating PAF, QL and material flow into SC modeling.

Details

International Journal of Quality & Reliability Management, vol. 37 no. 1
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 24 April 2019

Asama Alglawe, Andrea Schiffauerova, Onur Kuzgunkaya and Itad Shiboub

The purpose of this paper is to explore the impact of the cost of quality (COQ) expenditure allocations on a capacitated supply chain (SC) network.

627

Abstract

Purpose

The purpose of this paper is to explore the impact of the cost of quality (COQ) expenditure allocations on a capacitated supply chain (SC) network.

Design/methodology/approach

This paper proposes a non-linear optimization model which integrates the opportunity cost (OC) (i.e. customer satisfaction cost), into the COQ with consideration of the QL in the supply chain network design decisions. In addition, it examines the effect of considering an investment at each SC echelon to ensure the best overall QL. A numerical example is presented to illustrate the behavior of the model.

Findings

The results show how the QL, COQ and facility location decisions change when incorporating the OC, investments and transportation costs into the SC model.

Originality/value

The novelty of this paper is that it considers the effect of OC, investment at each echelon and transportation costs on SC design by minimizing the overall spending on the COQ. These issues have not been explored, and for that reason, this paper contributes to the understanding of the critical factors that optimizes the SC COQ.

Details

The TQM Journal, vol. 31 no. 3
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 16 April 2018

Daniel de Bortoli, Fauzan Adziman, Eduardo A. de Souza Neto and Francisco M. Andrade Pires

The purpose of this work is to apply a recently proposed constitutive model for mechanically induced martensitic transformations to the prediction of transformation loci…

309

Abstract

Purpose

The purpose of this work is to apply a recently proposed constitutive model for mechanically induced martensitic transformations to the prediction of transformation loci. Additionally, this study aims to elucidate if a stress-assisted criterion can account for transformations in the so-called strain-induced regime.

Design/methodology/approach

The model is derived by generalising the stress-based criterion of Patel and Cohen (1953), relying on lattice information obtained using the Phenomenological Theory of Martensite Crystallography. Transformation multipliers (cf. plastic multipliers) are introduced, from which the martensite volume fraction evolution ensues. The associated transformation functions provide a variant selection mechanism. Austenite plasticity follows a classical single crystal formulation, to account for transformations in the strain-induced regime. The resulting model is incorporated into a fully implicit RVE-based computational homogenisation finite element code.

Findings

Results show good agreement with experimental data for a meta-stable austenitic stainless steel. In particular, the transformation locus is well reproduced, even in a material with considerable slip plasticity at the martensite onset, corroborating the hypothesis that an energy-based criterion can account for transformations in both stress-assisted and strain-induced regimes.

Originality/value

A recently developed constitutive model for mechanically induced martensitic transformations is further assessed and validated. Its formulation is fundamentally based on a physical metallurgical mechanism and derived in a thermodynamically consistent way, inheriting a consistent mechanical dissipation. This model draws on a reduced number of phenomenological elements and is a step towards the fully predictive modelling of materials that exhibit such phenomena.

Details

Engineering Computations, vol. 35 no. 2
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 28 May 2024

Karel Dvorak, Lucie Zarybnicka, Radek Ševčík, Michal Vopalensky and Irena Adamkova

The purpose of this paper is to clarify the relationship between the use of different polymer matrices for the preparation of composite materials, namely, polyethylene…

148

Abstract

Purpose

The purpose of this paper is to clarify the relationship between the use of different polymer matrices for the preparation of composite materials, namely, polyethylene terephthalate-glycol (PET-G) and polyamide (PA), using Composite Fiber Co-Extrusion technology with the application of two types of carbon fibers, short and continuous. The aim of the study is also to extend the knowledge of the production of composite materials with a defined structure from the point of view of their influence on the microstructure and their physical-mechanical properties.

Design/methodology/approach

As part of the experiment, four types of samples were prepared, namely, two types of samples with PA polymer matrix and two types with PET-G polymer matrix. All types contained short carbon fibers and always one set from each polymer matrix in addition to continuous carbon fibers. All types were prepared using the same 3D printing parameters to avoid any further influence. The samples were then tested for microstructure using microCT, mechanical properties using a tensile test and dilatation characteristics from the point of view of aerospace applications. Finally, the raw materials themselves were tested.

Findings

The paper provides insight into the influence of polymer matrix types on the physico-mechanical properties of 3D printed composites. The analysis confirmed that the physico-mechanical results varied with respect to the interface between the polymer matrix and the carbon fiber. The implications of the conclusions can be extended to the development of products in the aerospace and automotive sectors.

Originality/value

This study provides information for composite applications in the aerospace industry, focusing on evaluating dilatation characteristics within very low temperatures (−60 °C) when using carbon fibers (continuous carbon fibers, short carbon fibers and a combination of both) in two types of thermoplastic matrices. This perspective on materials characterisation for aerospace applications is a very important and unpublished approach within the 3D printing of composites. These characteristics are important parameters in the design of prototypes and functional samples with regard to the resulting behaviour in real conditions.

Details

Rapid Prototyping Journal, vol. 30 no. 6
Type: Research Article
ISSN: 1355-2546

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Article
Publication date: 27 September 2023

Jiongyi Yan, Emrah Demirci and Andrew Gleadall

Extrusion width, the width of printed filaments, affects multiple critical aspects in mechanical properties in material extrusion additive manufacturing: filament geometry…

234

Abstract

Purpose

Extrusion width, the width of printed filaments, affects multiple critical aspects in mechanical properties in material extrusion additive manufacturing: filament geometry, interlayer load-bearing bonded area and fibre orientation for fibre-reinforced composites. However, this study aims to understand the effects of extrusion width on 3D printed composites, which has never been studied systematically.

Design/methodology/approach

Four polymers with and without short-fibre reinforcement were 3D printed into single-filament-wide specimens. Tensile properties, mechanical anisotropy and fracture mechanisms were evaluated along the direction of extruded filaments (F) and normal to the interlayer bond (Z). Extrusion width, nozzle temperature and layer height were studied separately via single-variable control. The extrusion width was controlled by adjusting polymer flow in the manufacturing procedure (gcode), where optimisation can be achieved with software/structure design as opposed to hardware.

Findings

Increasing extrusion width caused a transition from brittle to ductile fracture, and greatly reduced directional anisotropy for strength and ductility. For all short fibre composites, increasing width led to an increase in strain-at-break and decreased strength and stiffness in the F direction. In the Z direction, increasing width led to increased strength and strain-at-break, and stiffness decreased for less ductile materials but increased for more ductile materials.

Originality/value

The transformable fracture reveals the important role of extrusion width in processing-structure-property correlation. This study reveals a new direction for future research and industrial practice in controlling anisotropy in additive manufacturing. Increasing extrusion width may be the simplest way to reduce anisotropy while improving printing time and quality in additive manufacturing.

Details

Rapid Prototyping Journal, vol. 30 no. 1
Type: Research Article
ISSN: 1355-2546

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Article
Publication date: 1 January 1994

Marcia Henry, Linda Keenan and Michael Reagan

The following Melvyl system search sheet updates the 1991 search sheet published in the first edition of Search Sheets for OPACs on the Internet. Although the first edition's…

79

Abstract

The following Melvyl system search sheet updates the 1991 search sheet published in the first edition of Search Sheets for OPACs on the Internet. Although the first edition's search sheet is still very useable, it does not document some new features (e.g., Save Set, the Mail To, and Update commands) as well as the change in I.P. address. The Melvyl search sheet is the first of several revised search sheets to be published in CWIS. For example, there have been changes in the Harvard, Rensselaer, University of Illinois, and CARL search sheets to name just a few. The next edition of Search Sheets for OPACs on the Internet will have search sheets for over one hundred new OPACs not covered in the first edition. We hope to keep up with the changes in the OPACs of both editions in CWIS.

Details

Campus-Wide Information Systems, vol. 11 no. 1
Type: Research Article
ISSN: 1065-0741

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Article
Publication date: 16 November 2019

Qi Flora Dong, Yiting Cao, Xin Zhao and Ashutosh Deshmukh

The effect of tax policy on the repatriation of foreign earnings is a topic of ongoing discussion among policymakers, academics, and the popular press. It has become more salient…

201

Abstract

The effect of tax policy on the repatriation of foreign earnings is a topic of ongoing discussion among policymakers, academics, and the popular press. It has become more salient due to the 2017 Tax Cuts and Jobs Act (TCJA), which permanently removed repatriation tax. This paper synthesizes the academic literature examining US multinational firms’ responses to the repatriation tax holiday initiated by the 2004 American Jobs Creation Act (AJCA), which temporarily reduced the tax on the repatriation of foreign earnings. By synthesizing firm responses to the temporary tax reduction, we identify similarities and differences in: (1) theories about why and when repatriation tax affects firms’ repatriation decisions; (2) empirical evidence of whether repatriation tax affects firms’ repatriation decisions; and (3) empirical evidence of whether repatriation tax affects firms’ investment decisions. The analyses provide insights into the effect of the permanent removal of repatriation tax under the TCJA and explore avenues for future research. This synthesis of the AJCA literature informs tax research and practice as well as policymaking.

Details

Journal of Accounting Literature, vol. 43 no. 1
Type: Research Article
ISSN: 0737-4607

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Article
Publication date: 3 July 2020

Ambaji S. Jadhav, Pushpa B. Patil and Sunil Biradar

Diabetic retinopathy (DR) is a central root of blindness all over the world. Though DR is tough to diagnose in starting stages, and the detection procedure might be time-consuming…

133

Abstract

Purpose

Diabetic retinopathy (DR) is a central root of blindness all over the world. Though DR is tough to diagnose in starting stages, and the detection procedure might be time-consuming even for qualified experts. Nowadays, intelligent disease detection techniques are extremely acceptable for progress analysis and recognition of various diseases. Therefore, a computer-aided diagnosis scheme based on intelligent learning approaches is intended to propose for diagnosing DR effectively using a benchmark dataset.

Design/methodology/approach

The proposed DR diagnostic procedure involves four main steps: (1) image pre-processing, (2) blood vessel segmentation, (3) feature extraction, and (4) classification. Initially, the retinal fundus image is taken for pre-processing with the help of Contrast Limited Adaptive Histogram Equalization (CLAHE) and average filter. In the next step, the blood vessel segmentation is carried out using a segmentation process with optimized gray-level thresholding. Once the blood vessels are extracted, feature extraction is done, using Local Binary Pattern (LBP), Texture Energy Measurement (TEM based on Laws of Texture Energy), and two entropy computations – Shanon's entropy, and Kapur's entropy. These collected features are subjected to a classifier called Neural Network (NN) with an optimized training algorithm. Both the gray-level thresholding and NN is enhanced by the Modified Levy Updated-Dragonfly Algorithm (MLU-DA), which operates to maximize the segmentation accuracy and to reduce the error difference between the predicted and actual outcomes of the NN. Finally, this classification error can correctly prove the efficiency of the proposed DR detection model.

Findings

The overall accuracy of the proposed MLU-DA was 16.6% superior to conventional classifiers, and the precision of the developed MLU-DA was 22% better than LM-NN, 16.6% better than PSO-NN, GWO-NN, and DA-NN. Finally, it is concluded that the implemented MLU-DA outperformed state-of-the-art algorithms in detecting DR.

Originality/value

This paper adopts the latest optimization algorithm called MLU-DA-Neural Network with optimal gray-level thresholding for detecting diabetic retinopathy disease. This is the first work utilizes MLU-DA-based Neural Network for computer-aided Diabetic Retinopathy diagnosis.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 13 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

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