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Article
Publication date: 1 February 1987

Kang Rae Cho, Suresh Krishnan and Douglas Nigh

Since 1970 there has been a phenomenal growth in the establishment of foreign commercial banks in the United States thus altering the competitive dimension of US banking markets…

284

Abstract

Since 1970 there has been a phenomenal growth in the establishment of foreign commercial banks in the United States thus altering the competitive dimension of US banking markets. An analysis of the state of foreign banking presence in the United States is here provided using recent disaggregated bank‐level information. Foreign commercial banks' country of origin, timing of entry, forms of involvement, main areas of specialisation, and related offices in the United States are investigated.

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International Journal of Bank Marketing, vol. 5 no. 2
Type: Research Article
ISSN: 0265-2323

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Organized Labor and Civil Society for Multiculturalism: A Solidarity Success Story from South Korea
Type: Book
ISBN: 978-1-83982-388-6

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Publication date: 20 June 2017

David Shinar

Free Access. Free Access

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Traffic Safety and Human Behavior
Type: Book
ISBN: 978-1-78635-222-4

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Article
Publication date: 17 October 2024

Suhang Yang, Tangrui Chen and Zhifeng Xu

Recycled aggregate self-compacting concrete (RASCC) has the potential for sustainable resource utilization and has been widely applied. Predicting the compressive strength (CS) of…

23

Abstract

Purpose

Recycled aggregate self-compacting concrete (RASCC) has the potential for sustainable resource utilization and has been widely applied. Predicting the compressive strength (CS) of RASCC is challenging due to its complex composite nature and nonlinear behavior.

Design/methodology/approach

This study comprehensively evaluated commonly used machine learning (ML) techniques, including artificial neural networks (ANN), random trees (RT), bagging and random forests (RF) for predicting the CS of RASCC. The results indicate that RF and ANN models typically have advantages with higher R2 values, lower root mean square error (RMSE), mean square error (MSE) and mean absolute error (MAE) values.

Findings

The combination of ML and Shapley additive explanation (SHAP) interpretable algorithms provides physical rationality, allowing engineers to adjust the proportion based on parameter analysis to predict and design RASCC. The sensitivity analysis of the ML model indicates that ANN’s interpretation ability is weaker than tree-based algorithms (RT, BG and RF). ML regression technology has high accuracy, good interpretability and great potential for predicting the CS of RASCC.

Originality/value

ML regression technology has high accuracy, good interpretability and great potential for predicting the CS of RASCC.

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Engineering Computations, vol. 41 no. 10
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 25 December 2024

Shoaib Ahmad and Liusheng He

The application of steel fiber reinforced concrete (SFRC) beams is limited in practice, partially due to the lack of accurate shear strength prediction models. This study aims to…

40

Abstract

Purpose

The application of steel fiber reinforced concrete (SFRC) beams is limited in practice, partially due to the lack of accurate shear strength prediction models. This study aims to develop a reliable shear strength prediction model for SFRC beams.

Design/methodology/approach

In this study, an artificial neural network was employed to predict the shear strength of SFRC beams, utilizing a comprehensive database of 562 experimental studies. Multiple neural networks were established with varying hyperparameters, and their performance was evaluated using statistical parameters.

Findings

The neural network with 11 neurons showed superior results than other networks. The performance evaluation, efficiency and accuracy of the selected neural network were examined using margin of deviation, k-fold cross-validation, Shapley analysis, sensitivity analysis and parametric analysis. The proposed artificial neural network model accurately predicts the shear strength and outperforms other existing equations.

Originality/value

This research contributes to overcoming the limitations of existing prediction models for shear strength of SFRC beams without stirrups by developing a highly accurate model based on ANN. Utilizing a comprehensive database and rigorous evaluation techniques enhances the reliability and applicability of the proposed model in practical engineering applications.

Details

Engineering Computations, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 20 January 2022

Naman Kaur, Anjana Kumari, Aparna Agarwal, Manisha Sabharwal and Saumya Dipti

This study aims to discuss the nutritional value and potential nutraceutical properties of Diospyros kaki L. (DKL); to encapsulate recent studies conducted across the world to…

453

Abstract

Purpose

This study aims to discuss the nutritional value and potential nutraceutical properties of Diospyros kaki L. (DKL); to encapsulate recent studies conducted across the world to develop functional foods using different parts of Persimmon fruit to emphasise on the need for further research on Persimmon fruit.

Design/methodology/approach

The methodology of the study involved surveying primary and secondary information generated in the respective field of interest. The papers found most suited for the research problem and objective of the study were selected. The perspectives taken by different studies and researchers were synthesised to generate a solution to the research problems and to bridge the research gaps in the field.

Findings

As a result of the global rise in the prevalence of metabolic disorders, researchers are aimed at identifying nutrient rich foods and techniques to develop functional foods for the population. Researchers have recognised the role of fresh fruits and vegetables, whole grains and probiotics, are now interested in leveraging these foods by incorporating them in conventional foods, such as breads, jams, pastas and yoghurts as functional ingredients. One such food that has gained the interests of various researchers is DKL. Owing to its rich macro-and micro-nutrient, as well as phytochemical content various studies have been conducted to explore the possibility of using it as a functional ingredient to develop a range of foods.

Research limitations/implications

A limited studies are available that have investigated the effect of the functional foods developed using different parts of Persimmon fruit on different ailments.

Originality/value

This study collected the data/information from recently published research in the field of health and medicinal benefits of Persimmon fruits and its utilisation to develop functional food.

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Article
Publication date: 9 November 2012

George K. Stylios

Examines the seventeenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects…

1178

Abstract

Examines the seventeenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

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International Journal of Clothing Science and Technology, vol. 24 no. 6
Type: Research Article
ISSN: 0955-6222

Keywords

Available. Open Access. Open Access
Article
Publication date: 10 September 2021

Jun Sik Kim and Sol Kim

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications…

1745

Abstract

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.

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Journal of Derivatives and Quantitative Studies: 선물연구, vol. 29 no. 4
Type: Research Article
ISSN: 1229-988X

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Article
Publication date: 17 December 2019

Meng Chenli, Ge Yuhui, Liu Xihuai and Eugene Abrokwah

The purpose of this paper is to test the mediating role of top management team (TMT) team trust in examining the relationship between team processes (internal and external) and…

638

Abstract

Purpose

The purpose of this paper is to test the mediating role of top management team (TMT) team trust in examining the relationship between team processes (internal and external) and human resource management (HRM) decision performance (quality and satisfaction) in the context of the People’s Republic of China.

Design/methodology/approach

The sample data of this study include 524 team members from 76 TMTs in east China’s Shanghai, Jiangsu, Zhejiang, Anhui provinces. IBM SPSS AMOS 22.0 software was employed for the data analysis.

Findings

The study finds that TMT internal and external processes have significant positive effects on HRM decision quality and satisfaction. The study further finds that TMT team trust partially mediates the relationship between TMT processes (internal and external processes) and HRM decision quality and satisfaction.

Practical implications

This research provides useful insights into the role of TMT team trust in enhancing managerial decision performance.

Originality/value

This study is among the limited studies that explore the influence of team trust in the relationship between TMT processes (internal and external processes) and HRM decision quality and satisfaction among TMTs in China. This study has extended TMT knowledge in mainstream management with guidelines on how to enhance organizational decision performance.

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Article
Publication date: 2 May 2019

Han-Cheng Chiu and Pin-Hua Chiang

The purpose of this paper is to examine the relationships between managers’ and supervisors’ trust in subordinates and team cooperation and to suggest that the downward flow of…

910

Abstract

Purpose

The purpose of this paper is to examine the relationships between managers’ and supervisors’ trust in subordinates and team cooperation and to suggest that the downward flow of trust affects team employees.

Design/methodology/approach

Data were collected from supervisor-employee dyads from a multisource field study.

Findings

Feeling trusted by managers has an indirect effect on team cooperation through feeling trusted by supervisors. In addition, there was a strong positive relation between feeling trusted by supervisors and team cooperation when team size was smaller, but a weak positive relation when team size was larger.

Practical implications

In order for subordinates to feel trusted, management leaders must implement actions that include: delegation and empowerment, participative decision-making and listening with respect and full attention. It is also suggested that the team size should not be too large.

Originality/value

We integrate theories of social exchange, social information processing, social learning and attraction-selection-attrition to test a trickle-down model of how trust in subordinates cascades down through management levels and ultimately affects team cooperation.

Details

Personnel Review, vol. 48 no. 4
Type: Research Article
ISSN: 0048-3486

Keywords

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