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Article
Publication date: 25 October 2023

Safinaz Hassan Abourokbah and Khalid Sami Husain

This study assesses the quality of health-insurance services and their impact on customer satisfaction, examining the mediating role of utilitarian value and brand image in this…

Abstract

Purpose

This study assesses the quality of health-insurance services and their impact on customer satisfaction, examining the mediating role of utilitarian value and brand image in this relationship.

Design/methodology/approach

Survey data were collected from 345 health-insurance companies' customers selected through convenience sampling and were analyzed using SmartPLS.

Findings

Service quality statistically significantly influences customer satisfaction with health insurance in Saudi Arabia, whereas brand image and utilitarian value partially mediate this relationship. The structural path between service quality and brand image was statistically significant and positive. The utilitarian dimension positively affects customer satisfaction and service quality.

Practical implications

This study is significant to the management, as it provides insight into the expectations of health-insurance users. The focus is to gain a competitive advantage by improving customer service and brand image.

Originality/value

This investigation contributes to the field by exploring the mediating role of utilitarian value and brand image in the relationship between health-insurance quality and customer satisfaction based on the information provided by insurance policyholders in Saudi Arabia.

Details

International Journal of Quality & Reliability Management, vol. 41 no. 4
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 6 February 2024

Payal Sharma

This study primarily aims at assessing Faculty Competences Development Components (FCDCs) that help in the development of educational leaders. The study further formulates a model…

Abstract

Purpose

This study primarily aims at assessing Faculty Competences Development Components (FCDCs) that help in the development of educational leaders. The study further formulates a model using seven latent constructs that explain the development of the mechanism of development of educational leaders and extend the benefits of their development to different stakeholders including faculty, educational institutions and society at large.

Design/methodology/approach

A systematic review of the literature was conducted to identify various FCDCs to construct a conceptual framework. Later, this conceptual framework was tested through empirical research using the structural equation modeling (SEM) technique carried out with respect to technical institutions of Punjab (India).

Findings

The study identified that organizational roles are of the highest importance for the competences development of educational leaders followed by teachers’ attributes and teachers’ roles. The study’s findings also revealed that FCDCs significantly impact beneficiaries by developing competent educational leaders as mediators between the FCDCs and beneficiaries link. The biggest beneficiaries of development are faculty members of these institutes in terms of their performance enhancements.

Originality/value

The study is unique in terms of developing a model for the competences development of educational leaders and helpful in understanding various benefits of the educational leaders to various educational stakeholders.

Details

International Journal of Educational Management, vol. 38 no. 2
Type: Research Article
ISSN: 0951-354X

Keywords

Article
Publication date: 22 March 2024

Rachana Jaiswal, Shashank Gupta and Aviral Kumar Tiwari

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering…

Abstract

Purpose

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Design/methodology/approach

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Findings

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

Research limitations/implications

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Practical implications

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

Social implications

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

Originality/value

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.

Details

Management Research Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-8269

Keywords

Open Access
Article
Publication date: 10 April 2023

An Thi Binh Duong, Tho Pham, Huy Truong Quang, Thinh Gia Hoang, Scott McDonald, Thu-Hang Hoang and Hai Thanh Pham

The present study is performed to identify the propagation mechanism of the ripple effect as well as examine the simultaneous impact of risks on supply chain (SC) performance.

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Abstract

Purpose

The present study is performed to identify the propagation mechanism of the ripple effect as well as examine the simultaneous impact of risks on supply chain (SC) performance.

Design/methodology/approach

A theoretical framework with many hypotheses regarding the relationships between SC risk types and performance is established. The data are collected from a large-scale survey supported by a project of the Japanese government to promote sustainable socioeconomic development for the Association of Southeast Asian Nations (ASEAN) region, with the participation of 207 firms. Structural equation modeling (SEM) is used to test the hypotheses of the theoretical framework.

Findings

It is indicated that human-made risk causes operational risk, while natural risk causes both supply risk and operational risk. Furthermore, the impacts of human-made risk and natural risk on performance are amplified through operational risk.

Research limitations/implications

This study is one of the first attempts that identifies the propagation mechanism of the ripple effect and examines the simultaneous impact of risks on performance in construction SCs.

Originality/value

Although many studies on risk management in construction SCs have been carried out, they mainly focus on risk identification or quantification of risk impact. It is observed that research on the ripple effect of disruptions has been very scarce.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 13
Type: Research Article
ISSN: 0969-9988

Keywords

Content available
Book part
Publication date: 8 April 2024

Amaresh Panda and Sanjay Mohapatra

Abstract

Details

The Online Healthcare Community
Type: Book
ISBN: 978-1-83549-141-6

Article
Publication date: 13 July 2023

Adekunle Sabitu Oyegoke, Ben Williams Fisher, Saheed Ajayi, Temitope Seun Omotayo and Duga Ewuga

Supply chain disruptions have a significant impact on overall project delivery. This study aims to identify the supply chain disruptive factors and develop a framework to mitigate…

Abstract

Purpose

Supply chain disruptions have a significant impact on overall project delivery. This study aims to identify the supply chain disruptive factors and develop a framework to mitigate the disruptive effects on the supply chain. Covid-19 and Brexit disruption and their longevity effects in the short, medium and long term on the supply chain are relied upon to develop the framework.

Design/methodology/approach

The study adopted a mixed-method approach with a sequential explanatory design. The main disruptive factors were identified through a literature review, and key factors were selected through a focus group exercise. A questionnaire survey was carried out to sample opinions from the practitioners; 41 questionnaires were received and analysed using the relative importance index (RII) method for ranking the factors and percentage frequency distribution to determine the longevity effects. Five follow-up semi-structured interviews were conducted over the telephone and later transcribed.

Findings

The results of Covid-19 disruption indicate that material cost increase ranked first (RII: 0.863), logistics cost increase and supply chain interaction ranked second and third, respectively. They have long-term, medium-term and short-term longevity effects, respectively. The lowest-rated factors were communication (RII: 0.561), staff shortages (RII: 0.629) and impact on relationships (RII: 0.639). The three most ranked Brexit disruptive factors are supply chain interaction (RII: 0.775), material cost increase (RII: 0.766) and logistic and haulage delay (RII: 0.717). The first two factors have long-term effects, and the logistics and haulage delays have a medium-term impact. The mitigating solutions suggested in the framework are collaborative working, stronger resilience to external forces and better transparency and communication that will lead to good relationships among the supply chain members.

Research limitations/implications

The scope of the study was limited to the UK construction industry; however, the pandemic effect on supply chain can serve as critical learning curve in other developed and developing countries.

Practical implications

The study will help the government and construction firms to understand the focal areas of importance in solving the supply chain disruption problems based on the effects of Brexit and Covid-19. The research would be useful in ensuring the proactive involvement of the government and contracting firms in their preparedness for similar events in the future. The results could be interpreted for critical learning in other developed/developing countries.

Originality/value

Identifying and ranking the supply chain disruptive factors affecting the small‐ and medium‐sized enterprises (SMEs) in the UK construction industry has been the focal point of this study. The study also proposes a simple but effective framework comprising the highly ranked factors, their longevity effects and mitigating measures. This will help the SMEs manage future/similar external events affecting the supply chain.

Details

Journal of Financial Management of Property and Construction , vol. 29 no. 1
Type: Research Article
ISSN: 1366-4387

Keywords

Article
Publication date: 3 January 2023

Pravin Hindurao Yadav, Sandeep R. Desai and Dillip Kumar Mohanty

The purpose of this paper is to present investigations on the significant influence of the tube material and fin density on fluid elastic instability and vortex shedding in a…

Abstract

Purpose

The purpose of this paper is to present investigations on the significant influence of the tube material and fin density on fluid elastic instability and vortex shedding in a parallel triangular finned tube array subjected to water cross flow.

Design/methodology/approach

The experiment was conducted on finned tube arrays with a fin height of 6 mm and fin density of 3 fins per inch (fpi) and 9 fpi. A dedicated setup has been developed to examine fluid elastic instability and vortex shedding. Nine parallel triangular tube arrays with a pitch to tube diameter ratio of 1.78 were considered. The plain tube arrays, coarse finned tube arrays and fine finned tube arrays each of steel, copper and aluminium materials were tested. Plain tube arrays were tested to compare the results of the finned tube arrays having an effective tube diameter same as that of the plain tube.

Findings

A significant effect of fin density and tube material with a variable mass damping parameter was observed on the instability threshold. In the parallel triangular finned tube array subjected to water cross flow, a delay in the instability threshold was observed with an increase in fin density. For steel and aluminium tube arrays, the natural frequency is 9.77 Hz and 10.38 Hz, which is close to each other, whereas natural frequency of the copper tubes is 7.40 Hz. The Connors’ stability constant K for steel and aluminium tube arrays is 4.78 and 4.87, respectively, whereas it is 5.76 for copper tube arrays, which increases considerably compared to aluminum and steel tube arrays. The existence of vortex shedding is confirmed by comparing experimental results with Owen’s hypothesis and the Strouhal number and Reynolds number relationship.

Originality/value

This paper’s results contribute to understand the effect of tube materials and fin density on fluid elastic instability threshold of finned tube arrays subjected to water cross flow.

Details

World Journal of Engineering, vol. 21 no. 2
Type: Research Article
ISSN: 1708-5284

Keywords

Article
Publication date: 14 March 2024

Qiang Wen, Lele Chen, Jingwen Jin, Jianhao Huang and HeLin Wan

Fixed mode noise and random mode noise always exist in the image sensor, which affects the imaging quality of the image sensor. The charge diffusion and color mixing between…

Abstract

Purpose

Fixed mode noise and random mode noise always exist in the image sensor, which affects the imaging quality of the image sensor. The charge diffusion and color mixing between pixels in the photoelectric conversion process belong to fixed mode noise. This study aims to improve the image sensor imaging quality by processing the fixed mode noise.

Design/methodology/approach

Through an iterative training of an ergoable long- and short-term memory recurrent neural network model, the authors obtain a neural network model able to compensate for image noise crosstalk. To overcome the lack of differences in the same color pixels on each template of the image sensor under flat-field light, the data before and after compensation were used as a new data set to further train the neural network iteratively.

Findings

The comparison of the images compensated by the two sets of neural network models shows that the gray value distribution is more concentrated and uniform. The middle and high frequency components in the spatial spectrum are all increased, indicating that the compensated image edges change faster and are more detailed (Hinton and Salakhutdinov, 2006; LeCun et al., 1998; Mohanty et al., 2016; Zang et al., 2023).

Originality/value

In this paper, the authors use the iterative learning color image pixel crosstalk compensation method to effectively alleviate the incomplete color mixing problem caused by the insufficient filter rate and the electric crosstalk problem caused by the lateral diffusion of the optical charge caused by the adjacent pixel potential trap.

Details

Sensor Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0260-2288

Keywords

Book part
Publication date: 19 March 2024

Deb Aikat

With 43.2 million coronavirus cases and 525,000 deaths in 2022, India ranked second worldwide, after the United States (84.6 million cases and 1 million deaths), according to the…

Abstract

With 43.2 million coronavirus cases and 525,000 deaths in 2022, India ranked second worldwide, after the United States (84.6 million cases and 1 million deaths), according to the latest available June 2022 COVID-19 impact data.

Amid people’s growing mistrust in the government, India’s news media enhanced the nation’s distinguished designation as the world’s largest and most populous democracy. India’s news media inform, educate, empower, and entertain a surging population of 1.4 billion people, which is roughly one-sixth of the world’s people.

Drawing upon the media agendamelding theoretical framework, we conducted a case study research into interplay between two prominent democratic institutions, the media and the government, to analyze the role of the COVID-19 pandemic in redefining India’s networked society.

India’s COVID-19 pandemic aggravated internecine tensions between media and government relating to four key freedom issues: (1) world’s largest COVID-19 lockdown affecting 1.3 billion Indians from March 25, 2020 to August 2020 with extensions and five-phased re-openings, to restrict the spread of COVID-19; (2) Internet shutdowns; (3) media censorship during the 1975–1977 “Emergency”; and (4) unabated murders of journalists in India.

Although the COVID-19 pandemic caused deleterious problems debilitating the tensions between the media and the government, India’s journalists thrived by speaking truth to power. This study delineates key aspects of India’s media agendamelding that explicates how the people of India form their media agendas. India’s news audiences meld media messages from newspapers, television, and social media to form a picture of the issues, insights, and ideas that define their lives and times in the 21st century digital age.

Article
Publication date: 18 March 2024

Asma AlHammadi and Hossam M. Abu Elanain

The purpose of this study is twofold: first, to examine the direct relationship of organizational justice (OJ), psychological empowerment (PE), Leader Member Exchange (LMX)…

Abstract

Purpose

The purpose of this study is twofold: first, to examine the direct relationship of organizational justice (OJ), psychological empowerment (PE), Leader Member Exchange (LMX), organizational citizenship behavior (OCB), LMX on PE and OCB and PE on OCB; and second, to investigate the mediating role of PE between OJ and OCB and between LMX and OCB in the service industry in a non-Western context.

Design/methodology/approach

A quantitative questionnaire was used to test the proposed hypotheses of the study. From employees working in service providing organizations in the UAE, 364 usable responses had been collected and data was analyzed using structural equation modeling (SEM).

Findings

OJ significantly influences PE and LMX, while its influence on OCB is insignificant. Also, LMX significantly affects PE and OCB, PE significantly impacts OCB, whereas PE and LMX significantly mediate the relationship between OJ and OCB.

Practical implications

Organizations should promote fairness, psychological empowerment and OCB among employees. Additionally, leaders should develop positive and productive relationships with their employees.

Originality/value

To the best of the authors’ knowledge, this study is one of a limited number of studies designed to analyze the hypothesized relationships within a non-Western context, specifically in the UAE.

Details

Journal of Asia Business Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1558-7894

Keywords

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