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Article
Publication date: 8 January 2018

Jamal Mousa Shamieh, Ihab Hanna Sawalha, Amer Z. Salman, Emad K. Al-Karablieh, Mohammad A. Tabieh, Hussain F. Al-Qudah and Osama O. Jaara

The purpose of this paper is twofold: first, to estimate the water demand elasticities using a parametric linear programming (LP) model to provide an insight into the…

Abstract

Purpose

The purpose of this paper is twofold: first, to estimate the water demand elasticities using a parametric linear programming (LP) model to provide an insight into the accurate and flexible pricing policy of irrigation water in the Jordan Valley; and second, to highlight key risk aspects, related to water demand, which are likely to impact the community.

Design/methodology/approach

A parametric LP model was used in this research. Primary and secondary data were collected.

Findings

Results revealed that the demand elasticity is high in Spring and Summer than in Fall and Winter, meaning that during Spring and Summer farmers are willing to forgo larger amounts of water than in other months. This is because of areas planted during Spring seasons are much less than those of Autumn and Winter.

Practical implications

The Jordan Valley suffers from water scarcity risk, and consequently the area to be planted is not fully utilized, leading to lower cropping intensities. Responsible authorities in Jordan need to address these issues and propose proper solutions in order to reduce further escalation of this risk and subsequent impact on local communities. Insight into the value of water demand elasticities is essential to support and mitigate policy decision making under risk conditions, concerning investments in water supply systems; investments in the water distribution and irrigation systems; efficient allocation of water with competing sectors; setting water pricing and tariffs; setting cost recovery mechanisms, and the risks encountered under lack of mitigated policy decision making.

Originality/value

This is one of few studies that addresses in detail using a parametric LP model the issue of water scarcity, related risks and subsequent impact on society in Jordan. It is expected to help policy and decision makers better formulate future estimates and demand which subsequently reduce related risks.

Details

Management of Environmental Quality: An International Journal, vol. 29 no. 1
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 16 September 2021

Amer Sarfraz and Asif Khurshid Mian

This study aims to address a leading challenge of confusion about the concept of takāful confronted by existing and potential consumers of the insurance industry. There…

Abstract

Purpose

This study aims to address a leading challenge of confusion about the concept of takāful confronted by existing and potential consumers of the insurance industry. There are multiple sources of confusion, including the lack of consensus among religious scholars to implement a standardized business model of takāful, the lack of knowledge or awareness and the lack of skilled or trained personnel, which prevent existing and potential consumers from adopting takāful products or services. The fundamental concept of takāful is introduced mainly to fulfill the religious, social and economic needs of Muslims. Thus, the choice of takāful activates the religious, cultural, family and tradition values of individuals. Hence, the primary purpose of this study is to determine the impact of tradition value and stimulation value on consumer adoption of takāful services. Further, the scope of this study is extended to establish the mediating role of religiosity and moderating role of confusion on the association between tradition value and consumer adoption of takāful services.

Design/methodology/approach

This study follows quantitative research methods and a cross-sectional approach for data collection. Thus, the sample is collected from 768 respondents belongs to rural and urban areas by using a close-ended questionnaire. The mediation and moderation analysis are performed by using Andrew F. Hayes process Models-4 and −5.

Findings

The result reveals that religiosity mediates and confusion moderates the relationship of tradition value and consumer adoption of takāful. However, the tradition value shows a negative effect on consumer adoption of takāful. Moreover, the confusion negatively moderates the association between tradition value and consumer adoption of takāful. Finally, the stimulation value also reflects a negative effect on consumer adoption of takāful services.

Originality/value

The findings of this study shed novel insights into the existing literature of takāful and basic human values. The outcomes of stimulation values contradict with the findings of Wang et al. (2008). The result of mediation analysis reveals that religiosity plays a vital role in activating the goals of tradition value, which motivates consumers to adopt takāful services. The present study is useful for takāful operators to understand the value priorities of prospect clients belong to rural and urban areas.

Details

Journal of Islamic Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1759-0833

Keywords

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Article
Publication date: 29 July 2021

Jameela Al-Salman, Sarah Alghareeb, Eman Alarab, Haitham Jahrami and William B. Grant

This study aims to investigate the association between vitamin D measured in serum 25 hydroxyvitamin D [25(OH)D] and outcomes of COVID-19 patients in Bahrain. This paper…

Abstract

Purpose

This study aims to investigate the association between vitamin D measured in serum 25 hydroxyvitamin D [25(OH)D] and outcomes of COVID-19 patients in Bahrain. This paper hypothesized that lower serum 25(OH)D concentration in COVID 19 patients is associated with longer viral clearance time (VCT) and higher risk of admission to the intensive care unit (ICU).

Design/methodology/approach

This study used a retrospective cohort design of patients admitted to Salmaniya Medical Complex, Manama, Kingdom of Bahrain, from February to June 2020. This study included patients with positive, confirmed COVID-19 diagnosis made using reverse transcription-polymerase chain reaction (RT-PCR), World Health Organization diagnosis manual and local diagnostic guidelines. Primary outcome measures were: VCT measured as the time in days between the first positive RT-PCR test result and the first of two consecutive negative RT-PCR results on recovery and admission need to ICU.

Findings

A total of 450 patients were analyzed; mean age was 46.4 ± 12.4 years and 349 (78%) were men. Mean 25(OH)D concentration was 41.7 ± 23.7 nmol/L for the entire sample. Severe vitamin D deficiency (<25 nmol/L) was present in 20%, mild-to-moderate deficiency (25–50 nmol/L) in 55%, insufficiency (50 to <75 nmol/L) in 18% and sufficiency (=75 nmol/L) in 7%. The mean VCT was 12.9 ± 8.2 days. Multivariate linear regression analysis showed that severe vitamin D deficiency was associated with longer VCT, with an average of three extra days after correction for age and sex (β = 3.1; p = 0.001). Multinomial regression analysis showed that vitamin D deficiency was associated with an 83% increased risk of admission to ICU after correction for age and sex (odds ratio = 1.8; p = 0.03).

Originality/value

The results showed that severe vitamin D deficiency was associated with longer recovery time from COVID-19. Low serum 25(OH)D is associated with increased need for critical care in an ICU. Large-scale randomized controlled trials are necessary to further investigate the complex association between vitamin D and COVID-19 infection.

Details

Nutrition & Food Science , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0034-6659

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Book part
Publication date: 27 November 2015

José Luis Santos, Kenneth R. Roth, Adrian H. Huerta and Zachary S. Ritter

As demand for access to colleges and universities prompts higher education systems for creative and efficient solutions, we examine technology-centric approaches to…

Abstract

As demand for access to colleges and universities prompts higher education systems for creative and efficient solutions, we examine technology-centric approaches to education delivery and their implications for policy, student outcomes, and resource allocation. Our work is framed by Kingdon’s adapted multiple streams theory of national policymaking. However, the real elephant in the room may be the skyrocketing costs of administration that may need wrangling before resources can be directed to the future potential savings obtained through developing infrastructure for, and delivery of, tech-centric teaching approaches. We provide examples and strategies, policy implications, and recommendations for research and practice.

Details

Mitigating Inequality: Higher Education Research, Policy, and Practice in an Era of Massification and Stratification
Type: Book
ISBN: 978-1-78560-291-7

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Article
Publication date: 17 March 2020

Adarsh Kumar, Saurabh Jain and Divakar Yadav

Simulation-based optimization is a decision-making tool for identifying an optimal design of a system. Here, optimal design means a smart system with sensing, computing…

Abstract

Purpose

Simulation-based optimization is a decision-making tool for identifying an optimal design of a system. Here, optimal design means a smart system with sensing, computing and control capabilities with improved efficiency. As compared to testing the physical prototype, computer-based simulation provides much cheaper, faster and lesser time-and resource-consuming solutions. In this work, a comparative analysis of heuristic simulation optimization methods (genetic algorithms, evolutionary strategies, simulated annealing, tabu search and simplex search) is performed.

Design/methodology/approach

In this work, a comparative analysis of heuristic simulation optimization methods (genertic algorithms, evolutionary strategies, simulated annealing, tabu search and simplex search) is performed. Further, a novel simulation annealing-based heuristic approach is proposed for critical infrastructure.

Findings

A small scale network of 50–100 nodes shows that genetic simulation optimization with multi-criteria and multi-dimensional features performs better as compared to other simulation optimization approaches. Further, a minimum of 3.4 percent and maximum of 16.2 percent improvement is observed in faster route identification for small scale Internet-of-things (IoT) networks with simulation optimization constraints integrated model as compared to the traditional method.

Originality/value

In this work, simulation optimization techniques are applied for identifying optimized Quality of service (QoS) parameters for critical infrastructure which in turn helps in improving the network performance. In order to identify optimized parameters, Tabu search and ant-inspired heuristic optimization techniques are applied over QoS parameters. These optimized values are compared with every monitoring sensor point in the network. This comparative analysis helps in identifying underperforming and outperforming monitoring points. Further, QoS of these points can be improved by identifying their local optimum values which in turn increases the performance of overall network. In continuation, a simulation model of bus transport is taken for analysis. Bus transport system is a critical infrastructure for Dehradun. In this work, feasibility of electric recharging units alongside roads under different traffic conditions is checked using simulation. The simulation study is performed over five bus routes in a small scale IoT network.

Details

Smart and Sustainable Built Environment, vol. 9 no. 4
Type: Research Article
ISSN: 2046-6099

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Article
Publication date: 29 April 2021

Timothy O. Olawumi and Daniel W.M. Chan

The purpose of this paper is to identify the key facilitating factors for smart sustainable practices (SSP) and develop a project evaluation model (PEM) for SSP…

Abstract

Purpose

The purpose of this paper is to identify the key facilitating factors for smart sustainable practices (SSP) and develop a project evaluation model (PEM) for SSP implementation in Nigeria and Hong Kong. SSP is coined from the integration of digital technologies such as Building Information Modelling (BIM) to facilitate sustainability practices.

Design/methodology/approach

The study employed a quantitative research design approach using empirical questionnaire surveys to solicit the opinions of 69 and 97 construction practitioners in Nigeria and Hong Kong. Purposive and snowball sampling techniques were used to identify the potential survey respondents. The fuzzy synthetic evaluation technique was used to develop the PEMs.

Findings

The findings revealed that adequate technical expertise of the SSP processes is critical in enhancing its implementation in Hong Kong and Nigeria; as well as the provision of training programs for specialists in smart and sustainable initiatives. Meanwhile, the study's findings advocated that for an SSP-enabled construction project, its project performance is mainly influenced by the client's satisfaction level and the early involvement of the project teams.

Research limitations/implications

The study's results are limited to the Nigeria and Hong Kong construction industries.

Practical implications

Construction stakeholders such as the clients, developers, contractors can utilize the PEMs to determine and track SSP initiatives implementation in building projects in a reliable and practical way.

Originality/value

No tool has been developed for evaluating SSP initiatives at the project level in the construction industry. Using case studies of Hong Kong and Nigeria, PEM indices were developed to measure and track SSP implementation in construction projects.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

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