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Article
Publication date: 23 September 2019

Erdal Aydemir and Yusuf Sahin

The purpose of this paper is to investigate the relative influences of technical and functional quality levels of service quality and patient satisfaction. In this context, the…

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Abstract

Purpose

The purpose of this paper is to investigate the relative influences of technical and functional quality levels of service quality and patient satisfaction. In this context, the healthcare service quality and the factors affecting customer satisfaction were evaluated using the grey relational analysis (GRA) method.

Design/methodology/approach

This is a survey-based study which involves 15 patients in a dialysis center, so the GRA is applied to clarify the uncertainty on service quality level with a limited number of patients without any statistical distribution. In order to reveal whether service quality and customer satisfaction are two different structures, a GRA model is built with ten different quality factors.

Findings

Results show that each quality factor has a different effect on the quality of service. Another important finding is that service quality and customer satisfaction are different structures for customers.

Practical implications

The results enable healthcare managers to understand the importance of patient care and the importance of service quality if they want to facilitate their use of their expectations in related factors.

Originality/value

The study is the first in terms of the application of GRA models in a private health institution operating in Turkey. Successful implementation of the GRA method allows a reasonable decision to be made with a limited number of data at hand. It is considered that the method can be used successfully in other health institutions in the Turkish Health System.

Details

Grey Systems: Theory and Application, vol. 9 no. 4
Type: Research Article
ISSN: 2043-9377

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Article
Publication date: 1 March 2008

Yusuf Sahin and A. Riza Motorcu

This paper presents a study of the development of surface roughness model when turning the mild steel hardened up to 484 HV with mixed alumina ceramic (KY1615) and coated alumina…

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Abstract

This paper presents a study of the development of surface roughness model when turning the mild steel hardened up to 484 HV with mixed alumina ceramic (KY1615) and coated alumina ceramic cutting tools (KY4400). The model was developed in terms of main cutting parameters such as cutting speed, feed rate and depth of cut, using response surface methodology. The established equation indicated that the feed rate affected the surface roughness the most, but other parametres remined stable for arithmetic average height parametre (Ra). However, it decreased with increasing the cutting speed, and with the starting and finishing point of cut for ten point height parametre (Rz). The cutting speed and the depth of cut had a slight effect on surface roughness values of Ra, Rz when using KY4400 cutting tools. Furthermore, the average surface roughness value of Ra was about 0.926 um, 1.089 um for KY1615, KY4400 cutting tools, respectively. The predicted surface roughness was found to be very close to experimentally observed ones at 95% confidence level. Moreover, analysis of variance indicated that squares terms were significant but interaction terms were insignificant for both cutting tools.

Details

Multidiscipline Modeling in Materials and Structures, vol. 4 no. 3
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 13 November 2007

Daniel Vázquez‐Bustelo, Lucía Avella and Esteban Fernández

Despite the fact that agile manufacturing has been frequently promoted as a means of improving business competitiveness, little empirical evidence exists in the literature…

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Abstract

Purpose

Despite the fact that agile manufacturing has been frequently promoted as a means of improving business competitiveness, little empirical evidence exists in the literature validating its positive link with business performance. The purpose of this research paper is to analyse agile manufacturing in Spain and study whether it is a critical factor for success in different industries.

Design/methodology/approach

A conceptual model is drawn up, based on the literature and a previous case study, to relate turbulence in the environment with agile manufacturing practices and business performance. The model is tested on a large sample of Spanish manufacturers using a survey methodology to obtain information and a structural equation model to analyse the data.

Findings

The results obtained show that, in turbulent environments, the integrated use of agile manufacturing practices promotes manufacturing competitive strength, leading to better operational, market and financial performance.

Research limitations/implications

This study has two main limitations. First, it is difficult to determine the most suitable unit of analysis when studying agile manufacturing. Second, single respondent bias may be considered a limitation.

Practical implications

Managers should consider the integrated implementation of agile manufacturing practices in order to develop manufacturing strength and to outperform competitors in turbulent business environments.

Originality/value

This study adopts a systematic approach to the analysis of agile manufacturing, considering various agility practices or enablers in an integrated way and relating them not only to environmental characteristics but also to business performance. This approach is especially interesting because most of the literature on agile manufacturing deals with agility strategies or techniques in an isolated way. The study also tests the suitability of agile manufacturing in real organisations – for the first time in the Spanish context.

Details

International Journal of Operations & Production Management, vol. 27 no. 12
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 19 July 2024

Duc Nha Le and Nam Khanh Pham

The contributions of gender equality to trade and the moderating impact of institutional quality on the trade-gender link have been understudied in contemporary literature…

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Abstract

Purpose

The contributions of gender equality to trade and the moderating impact of institutional quality on the trade-gender link have been understudied in contemporary literature. Therefore, this paper aims to use the augmented gravity model to investigate the impacts of gender equality and institutional quality on trade, and the moderating impact of institutional quality on the trade-gender link.

Design/methodology/approach

The panel data is comprised of bilateral trade flows of Vietnam and 40 major trading partners in the 2002–2021 period. Estimation methods include combined fixed effect, random effect, system generalized method of moments two-step (SGMM-II) and Poisson-pseudo maximum likelihood (PPML) which allow the treatment of heterogeneity, endogeneity and heteroskedasticity in the research models.

Findings

The exporting country’s gender equality has an inconclusive impact on trade in SGMM-II and PPML estimations. However, female labor force participation in the exporting country increases trade. Importing country’s gender equality and female labor force participation increase trade. The direct impact of institutional quality on trade is inconclusive, which is dependent on estimation methods. Most noticeably, the institutional quality of exporting and importing countries facilitates the hampering effects of gender equality and female labor force participation on trade.

Research limitations/implications

Future research should apply the framework of this paper to sectoral trade, which allows more sector-specific policy implications to be delivered. Moreover, gender development, gender inequality and institutional quality should be included in the SGMM estimations as endogenous variables for robustness checking purposes in future research.

Practical implications

The paper has justified the integration of gender-specific issues in trade policies, which aligns trade with sustainable development agenda. The explored moderating impact of institutional quality of the exporting country has implied the trade-off relationship between gender equality and export growth in the effort to improve institutional quality. Reversely, in the case of importing countries with higher institutional quality, improved gender equality may mitigate the trade deficit by hampering import growth.

Originality/value

Investigating the impact of gender equality on trade is the prominent contribution of this paper. Gender equality is considered by three component indicators which include gender development, gender inequality and female labor force participation. New measurement approach to the institutional quality level is also introduced. Furthermore, the explored moderating impacts of institutional quality on the trade-gender link are novel in the literature on sustainable development.

Details

International Journal of Development Issues, vol. 24 no. 1
Type: Research Article
ISSN: 1446-8956

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Book part
Publication date: 18 July 2022

Yakub Kayode Saheed, Usman Ahmad Baba and Mustafa Ayobami Raji

Purpose: This chapter aims to examine machine learning (ML) models for predicting credit card fraud (CCF).Need for the study: With the advance of technology, the world is…

Abstract

Purpose: This chapter aims to examine machine learning (ML) models for predicting credit card fraud (CCF).

Need for the study: With the advance of technology, the world is increasingly relying on credit cards rather than cash in daily life. This creates a slew of new opportunities for fraudulent individuals to abuse these cards. As of December 2020, global card losses reached $28.65billion, up 2.9% from $27.85 billion in 2018, according to the Nilson 2019 research. To safeguard the safety of credit card users, the credit card issuer should include a service that protects customers from potential risks. CCF has become a severe threat as internet buying has grown. To this goal, various studies in the field of automatic and real-time fraud detection are required. Due to their advantageous properties, the most recent ones employ a variety of ML algorithms and techniques to construct a well-fitting model to detect fraudulent transactions. When it comes to recognising credit card risk is huge and high-dimensional data, feature selection (FS) is critical for improving classification accuracy and fraud detection.

Methodology/design/approach: The objectives of this chapter are to construct a new model for credit card fraud detection (CCFD) based on principal component analysis (PCA) for FS and using supervised ML techniques such as K-nearest neighbour (KNN), ridge classifier, gradient boosting, quadratic discriminant analysis, AdaBoost, and random forest for classification of fraudulent and legitimate transactions. When compared to earlier experiments, the suggested approach demonstrates a high capacity for detecting fraudulent transactions. To be more precise, our model’s resilience is constructed by integrating the power of PCA for determining the most useful predictive features. The experimental analysis was performed on German credit card and Taiwan credit card data sets.

Findings: The experimental findings revealed that the KNN achieved an accuracy of 96.29%, recall of 100%, and precision of 96.29%, which is the best performing model on the German data set. While the ridge classifier was the best performing model on Taiwan Credit data with an accuracy of 81.75%, recall of 34.89, and precision of 66.61%.

Practical implications: The poor performance of the models on the Taiwan data revealed that it is an imbalanced credit card data set. The comparison of our proposed models with state-of-the-art credit card ML models showed that our results were competitive.

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Article
Publication date: 29 November 2018

Yahaya Yusuf, Angappa Gunasekaran, Thanos Papadopoulos, Wendy Auchterlounie, Delphine Hollomah and Masha Menhat

The purpose of this paper is to develop a performance measurement model for the entire supply chain that includes balanced set of performance measures.

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Abstract

Purpose

The purpose of this paper is to develop a performance measurement model for the entire supply chain that includes balanced set of performance measures.

Design/methodology/approach

The conceptual model was validated empirically in case companies through semi-structured interviews and content analysis of documents.

Findings

Performance measures are important to companies in the natural gas (NG) supply chain to assess performance against set objectives in order to identify loopholes in performance. This is important in order to remain competitive. The research found that both financial and non-financial performance measures are employed by companies to measure performance. The results also indicate that six performance criteria of the conceptual model are vital to the NG supply chain. In addition, all identified measures under each of criteria impact on performance of the supply chain with customer service and financial criteria considered as most important.

Research limitations/implications

The empirical data collected from the NG supply chain in Ghana were relatively small; however, additional information was obtained from company data and relevant magazines. Also, getting through to specific target participant was a challenge due to busy work schedule but, in case companies where it proved impossible, other staff who were also involved in supply chain were interviewed instead.

Practical implications

This research provides a useful source of information on performance measures for practitioners in the NG industry who wish to measure performance of their supply chain. It also provides areas from which further and additional research can be carried out.

Originality/value

This research provides performance measures for the NG supply chain of Ghana. Typically, performance measures have been evaluated in discrete manufacturing supply chain, petroleum industry supply chain and oil industry supply chain. This research expanded on ideas from these studies and applied them in the NG industry.

Details

Benchmarking: An International Journal, vol. 25 no. 8
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 20 February 2025

Kok Beng Loh and Cheng Ling Tan

This research aims to determine if agility and internal integration constitute direct antecedents to resilience and organizational recovery in small and medium enterprises (SMEs…

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Abstract

Purpose

This research aims to determine if agility and internal integration constitute direct antecedents to resilience and organizational recovery in small and medium enterprises (SMEs) manufacturing. This study is based on the resource-based view in developing the framework. The literature-based review is drawn up to link internal integration and agile and resilient practices to its recovery.

Design/methodology/approach

The study proposes a random sampling technique to draw the samples from Malaysian SME manufacturing firms. A total of 110 samples were collected and analysed using partial least squares structural equation modelling.

Findings

The results confirmed that agility and internal integration positively affect resilient directly and indirectly. A higher level of agility, internal integration and resilience also improves organizational recovery.

Originality/value

The study underlines that organizational strategies should be designed with resilience as agility and internal integration alone are inadequate for organizations to attain recovery and competitive advantage. The results are practical since the proposed structural model employs empirical data.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Available. Open Access. Open Access
Article
Publication date: 28 September 2023

Ahmad Alrazni Alshammari, Othman Altwijry and Andul-Hamid Abdul-Wahab

From 1979 to 2023, the takaful structure has been adopted in many jurisdictions, making the documenting of its early days of establishment relatively difficult and somewhat…

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Abstract

Purpose

From 1979 to 2023, the takaful structure has been adopted in many jurisdictions, making the documenting of its early days of establishment relatively difficult and somewhat unreliable. This is unlike conventional insurance, where the history and legislation are well documented and archived in various research (Hellwege, 2016; Marano and Siri, 2017). The purpose of this paper is to provide a chronology for the establishment and development of takaful via the takaful establishment in each jurisdiction, documenting its first takaful operator and first takaful regulation.

Design/methodology/approach

This paper has used a qualitative method in the form of reviewing literature and available data such as journals, books and official resources. The data is thoroughly analysed in order to build the chronology for takaful. It adopted an exploratory research design, which is deemed suitable in situations where few works of literature have examined the subject (Neuman, 2014). The paper explores the establishment and non-establishment of takaful in 57 countries. The paper categorises the countries into seven regions starting with the GCC, Levant, Asia, Central Asia, Africa, Europe and Others.

Findings

The takaful chronology presented in this paper shows that takaful operations exist in 47 jurisdictions, starting from Sudan and the UAE in 1979, with the most recent adopters being Morocco and Iran in December 2021. It is found that 22 jurisdictions do not have takaful regulations, and the Takaful Act 1984, issued in Malaysia, is considered the first takaful regulation that sets the basis for other regulations that follow.

Originality/value

The paper contributes to the literature by providing a comprehensive chronology of takaful, especially as the few existing timelines have been found to be incomplete and consist of contradictory information.

Details

PSU Research Review, vol. 8 no. 3
Type: Research Article
ISSN: 2399-1747

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Article
Publication date: 27 August 2021

Anas Sani Maihulla, Ibrahim Yusuf and Muhammad Salihu Isa

Solar photovoltaic (PV) is commonly used as a renewable energy source to provide electrical power to customers. This research establishes a method for testing the performance…

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Abstract

Purpose

Solar photovoltaic (PV) is commonly used as a renewable energy source to provide electrical power to customers. This research establishes a method for testing the performance reliability of large grid-connected PV power systems. Solar PV can turn unrestricted amounts of sunlight into energy without releasing carbon dioxide or other contaminants into the atmosphere. Because of these advantages, large-scale solar PV generation has been increasingly incorporated into power grids to meet energy demand. The capability of the installation and the position of the PV are the most important considerations for a utility company when installing solar PV generation in their system. Because of the unpredictability of sunlight, the amount of solar penetration in a device is generally restricted by reliability constraints. PV power systems are made up of five PV modules, with three of them needing to be operational at the same time. In other words, three out of five. Then there is a charge controller and a battery bank with three batteries, two of which must be consecutively be in operation. i.e. two out of three. Inverter and two distributors, all of which were involved at the same time. i.e. two out of two. In order to evaluate real-world grid-connected PV networks, state enumeration is used. To measure the reliability of PV systems, a collection of reliability indices has been created. Furthermore, detailed sensitivity tests are carried out to examine the effect of various factors on the efficiency of PV power systems. Every module's test results on a realistic 10-kW PV system. To see how the model works in practice, many scenarios are considered. Tables and graphs are used to show the findings.

Design/methodology/approach

The system of first-order differential equations is formulated and solved using Laplace transforms using regenerative point techniques. Several scenarios were examined to determine the impact of the model under consideration. The calculations were done with Maple 13 software.

Findings

The authors get availability, reliability, mean time to failure (MTTF), MTTF sensitivity and gain feature in this research. To measure the reliability of PV systems, a collection of reliability indices has been created. Furthermore, detailed sensitivity tests are carried out to examine the effect of various factors on the efficiency of PV power systems.

Originality/value

This is the authors' original copy of the paper. Because of the importance of the study, the references are well-cited. Nothing from any previously published articles or textbooks has been withdrawn.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 8
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 27 September 2023

Nadia Yusuf, Yussra Jamjoom and Karima Saci

The purpose of this study is to investigate the relationship between socioeconomic factors and entrepreneurial orientation (EO) across genders. The study also highlights the…

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Abstract

Purpose

The purpose of this study is to investigate the relationship between socioeconomic factors and entrepreneurial orientation (EO) across genders. The study also highlights the impact of cognitive and motivational factors on the EO in Saudi Arabia.

Design/methodology/approach

This is a quantitative analysis based on the Adult Population Survey of 2016 conducted by the Global Entrepreneurship Monitor among a sample of 4,053 in the Kingdom of Saudi Arabia.

Findings

The results showed significant differences in most EO dimensions between genders. It was found that EO is positively related to gender, with more women intending to start a venture than men in the Kingdom of Saudi Arabia. Self-efficacy, motivation and social welfare motivational factors for EO are positively associated with the gender of the respondents.

Practical implications

This paper illustrates the urgency to establish programs that support self-efficacy, motivation and social welfare to promote entrepreneurship among women in the Kingdom.

Originality/value

The study highlights the impact of cognitive and motivational factors on EO among females in Saudi Arabia.

Details

Journal of Entrepreneurship in Emerging Economies, vol. 16 no. 1
Type: Research Article
ISSN: 2053-4604

Keywords

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